01-Add Missing GWAS from GWAS Catalog.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Download GWAS catalog and map variants to genes using OTG V2G"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from tqdm.auto import tqdm\n",
    "import sys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from genetics import Genetics\n",
    "\n",
    "api = Genetics()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>traitReported</th>\n",
       "      <th>source</th>\n",
       "      <th>traitEfos</th>\n",
       "      <th>pmid</th>\n",
       "      <th>pubDate</th>\n",
       "      <th>pubJournal</th>\n",
       "      <th>pubTitle</th>\n",
       "      <th>pubAuthor</th>\n",
       "      <th>hasSumstats</th>\n",
       "      <th>ancestryInitial</th>\n",
       "      <th>...</th>\n",
       "      <th>nInitial</th>\n",
       "      <th>nReplication</th>\n",
       "      <th>nCases</th>\n",
       "      <th>traitCategory</th>\n",
       "      <th>numAssocLoci</th>\n",
       "      <th>nTotal</th>\n",
       "      <th>bestLocus2GenesOrClosest_id</th>\n",
       "      <th>bestLocus2GenesOrClosest_symbol</th>\n",
       "      <th>variant_gene_id_pairs</th>\n",
       "      <th>variant_gene_symbol_pairs</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>studyId</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_AB1_BACTINF_NOS</th>\n",
       "      <td>Bacterial infection, other or unspecified</td>\n",
       "      <td>FINNGEN</td>\n",
       "      <td>[EFO_0000771]</td>\n",
       "      <td>None</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>True</td>\n",
       "      <td>[European=218637]</td>\n",
       "      <td>...</td>\n",
       "      <td>218637</td>\n",
       "      <td>0</td>\n",
       "      <td>20977</td>\n",
       "      <td>infectious disease</td>\n",
       "      <td>2</td>\n",
       "      <td>218637</td>\n",
       "      <td>(ENSG00000132693, ENSG00000118922)</td>\n",
       "      <td>(CRP, KLF12)</td>\n",
       "      <td>(((ENSG00000132693,), 1_159743672_A_G), ((ENSG...</td>\n",
       "      <td>(((CRP,), 1_159743672_A_G), ((KLF12,), 13_7429...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_AB1_DERMATOPHYTOSIS</th>\n",
       "      <td>Dermatophytosis</td>\n",
       "      <td>FINNGEN</td>\n",
       "      <td>[MONDO_0004678]</td>\n",
       "      <td>None</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>True</td>\n",
       "      <td>[European=216472]</td>\n",
       "      <td>...</td>\n",
       "      <td>216472</td>\n",
       "      <td>0</td>\n",
       "      <td>1656</td>\n",
       "      <td>infectious disease</td>\n",
       "      <td>1</td>\n",
       "      <td>216472</td>\n",
       "      <td>(ENSG00000118434,)</td>\n",
       "      <td>(SPACA1,)</td>\n",
       "      <td>(((ENSG00000118434,), 6_87971973_T_C),)</td>\n",
       "      <td>(((SPACA1,), 6_87971973_T_C),)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_AB1_EBV</th>\n",
       "      <td>Infectious mononucleosis</td>\n",
       "      <td>FINNGEN</td>\n",
       "      <td>[EFO_0007326]</td>\n",
       "      <td>None</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>True</td>\n",
       "      <td>[European=214904]</td>\n",
       "      <td>...</td>\n",
       "      <td>214904</td>\n",
       "      <td>0</td>\n",
       "      <td>1238</td>\n",
       "      <td>infectious disease</td>\n",
       "      <td>1</td>\n",
       "      <td>214904</td>\n",
       "      <td>(ENSG00000268043,)</td>\n",
       "      <td>(NBPF12,)</td>\n",
       "      <td>(((ENSG00000268043,), 1_147027146_G_A),)</td>\n",
       "      <td>(((NBPF12,), 1_147027146_G_A),)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_AB1_GASTROENTERITIS_NOS</th>\n",
       "      <td>Diarrhoea and gastroenteritis of presumed infe...</td>\n",
       "      <td>FINNGEN</td>\n",
       "      <td>[MONDO_0045031]</td>\n",
       "      <td>None</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>True</td>\n",
       "      <td>[European=212553]</td>\n",
       "      <td>...</td>\n",
       "      <td>212553</td>\n",
       "      <td>0</td>\n",
       "      <td>15255</td>\n",
       "      <td>infectious disease</td>\n",
       "      <td>1</td>\n",
       "      <td>212553</td>\n",
       "      <td>(ENSG00000178764,)</td>\n",
       "      <td>(ZHX2,)</td>\n",
       "      <td>(((ENSG00000178764,), 8_122593984_C_T),)</td>\n",
       "      <td>(((ZHX2,), 8_122593984_C_T),)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_AB1_GHLAMY_OTHER</th>\n",
       "      <td>Other diseases caused by chlamydiae</td>\n",
       "      <td>FINNGEN</td>\n",
       "      <td>[EFO_1001288]</td>\n",
       "      <td>None</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>True</td>\n",
       "      <td>[European=218772]</td>\n",
       "      <td>...</td>\n",
       "      <td>218772</td>\n",
       "      <td>0</td>\n",
       "      <td>167</td>\n",
       "      <td>infectious disease</td>\n",
       "      <td>1</td>\n",
       "      <td>218772</td>\n",
       "      <td>(ENSG00000112818, ENSG00000069122)</td>\n",
       "      <td>(MEP1A, ADGRF5)</td>\n",
       "      <td>(((ENSG00000112818, ENSG00000069122), 6_468771...</td>\n",
       "      <td>(((MEP1A, ADGRF5), 6_46877116_T_G),)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_960_2</th>\n",
       "      <td>Allergy/adverse effect of penicillin</td>\n",
       "      <td>SAIGE</td>\n",
       "      <td>[EFO_0008546]</td>\n",
       "      <td>None</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>True</td>\n",
       "      <td>[European=397887]</td>\n",
       "      <td>...</td>\n",
       "      <td>397887</td>\n",
       "      <td>0</td>\n",
       "      <td>16090</td>\n",
       "      <td>injury, poisoning or other complication</td>\n",
       "      <td>1</td>\n",
       "      <td>397887</td>\n",
       "      <td>(ENSG00000188981,)</td>\n",
       "      <td>(MSANTD1,)</td>\n",
       "      <td>(((ENSG00000188981,), 4_3240118_C_T),)</td>\n",
       "      <td>(((MSANTD1,), 4_3240118_C_T),)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_965</th>\n",
       "      <td>Poisoning by analgesics, antipyretics, and ant...</td>\n",
       "      <td>SAIGE</td>\n",
       "      <td>[EFO_0008546]</td>\n",
       "      <td>None</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>True</td>\n",
       "      <td>[European=388707]</td>\n",
       "      <td>...</td>\n",
       "      <td>388707</td>\n",
       "      <td>0</td>\n",
       "      <td>6910</td>\n",
       "      <td>injury, poisoning or other complication</td>\n",
       "      <td>1</td>\n",
       "      <td>388707</td>\n",
       "      <td>(ENSG00000145839,)</td>\n",
       "      <td>(IL9,)</td>\n",
       "      <td>(((ENSG00000145839,), 5_135834716_T_G),)</td>\n",
       "      <td>(((IL9,), 5_135834716_T_G),)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_965_1</th>\n",
       "      <td>Opiates and related narcotics causing adverse ...</td>\n",
       "      <td>SAIGE</td>\n",
       "      <td>[EFO_0009658]</td>\n",
       "      <td>None</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>True</td>\n",
       "      <td>[European=382947]</td>\n",
       "      <td>...</td>\n",
       "      <td>382947</td>\n",
       "      <td>0</td>\n",
       "      <td>1150</td>\n",
       "      <td>injury, poisoning or other complication</td>\n",
       "      <td>1</td>\n",
       "      <td>382947</td>\n",
       "      <td>(ENSG00000152495,)</td>\n",
       "      <td>(CAMK4,)</td>\n",
       "      <td>(((ENSG00000152495,), 5_111211885_A_G),)</td>\n",
       "      <td>(((CAMK4,), 5_111211885_A_G),)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_967</th>\n",
       "      <td>Adverse effects of sedatives or other central ...</td>\n",
       "      <td>SAIGE</td>\n",
       "      <td>[EFO_0009658]</td>\n",
       "      <td>None</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>True</td>\n",
       "      <td>[European=382385]</td>\n",
       "      <td>...</td>\n",
       "      <td>382385</td>\n",
       "      <td>0</td>\n",
       "      <td>588</td>\n",
       "      <td>injury, poisoning or other complication</td>\n",
       "      <td>1</td>\n",
       "      <td>382385</td>\n",
       "      <td>(ENSG00000101574,)</td>\n",
       "      <td>(METTL4,)</td>\n",
       "      <td>(((ENSG00000101574,), 18_1777012_G_A),)</td>\n",
       "      <td>(((METTL4,), 18_1777012_G_A),)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_971</th>\n",
       "      <td>Poisoning by drugs primarily affecting the aut...</td>\n",
       "      <td>SAIGE</td>\n",
       "      <td>[EFO_0008546]</td>\n",
       "      <td>None</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>True</td>\n",
       "      <td>[European=381988]</td>\n",
       "      <td>...</td>\n",
       "      <td>381988</td>\n",
       "      <td>0</td>\n",
       "      <td>191</td>\n",
       "      <td>injury, poisoning or other complication</td>\n",
       "      <td>1</td>\n",
       "      <td>381988</td>\n",
       "      <td>(ENSG00000172361,)</td>\n",
       "      <td>(CFAP53,)</td>\n",
       "      <td>(((ENSG00000172361,), 18_50238751_G_C),)</td>\n",
       "      <td>(((CFAP53,), 18_50238751_G_C),)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>17054 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                        traitReported  \\\n",
       "studyId                                                                                 \n",
       "FINNGEN_R5_AB1_BACTINF_NOS                  Bacterial infection, other or unspecified   \n",
       "FINNGEN_R5_AB1_DERMATOPHYTOSIS                                        Dermatophytosis   \n",
       "FINNGEN_R5_AB1_EBV                                           Infectious mononucleosis   \n",
       "FINNGEN_R5_AB1_GASTROENTERITIS_NOS  Diarrhoea and gastroenteritis of presumed infe...   \n",
       "FINNGEN_R5_AB1_GHLAMY_OTHER                       Other diseases caused by chlamydiae   \n",
       "...                                                                               ...   \n",
       "SAIGE_960_2                                      Allergy/adverse effect of penicillin   \n",
       "SAIGE_965                           Poisoning by analgesics, antipyretics, and ant...   \n",
       "SAIGE_965_1                         Opiates and related narcotics causing adverse ...   \n",
       "SAIGE_967                           Adverse effects of sedatives or other central ...   \n",
       "SAIGE_971                           Poisoning by drugs primarily affecting the aut...   \n",
       "\n",
       "                                     source        traitEfos  pmid  \\\n",
       "studyId                                                              \n",
       "FINNGEN_R5_AB1_BACTINF_NOS          FINNGEN    [EFO_0000771]  None   \n",
       "FINNGEN_R5_AB1_DERMATOPHYTOSIS      FINNGEN  [MONDO_0004678]  None   \n",
       "FINNGEN_R5_AB1_EBV                  FINNGEN    [EFO_0007326]  None   \n",
       "FINNGEN_R5_AB1_GASTROENTERITIS_NOS  FINNGEN  [MONDO_0045031]  None   \n",
       "FINNGEN_R5_AB1_GHLAMY_OTHER         FINNGEN    [EFO_1001288]  None   \n",
       "...                                     ...              ...   ...   \n",
       "SAIGE_960_2                           SAIGE    [EFO_0008546]  None   \n",
       "SAIGE_965                             SAIGE    [EFO_0008546]  None   \n",
       "SAIGE_965_1                           SAIGE    [EFO_0009658]  None   \n",
       "SAIGE_967                             SAIGE    [EFO_0009658]  None   \n",
       "SAIGE_971                             SAIGE    [EFO_0008546]  None   \n",
       "\n",
       "                                       pubDate pubJournal pubTitle  \\\n",
       "studyId                                                              \n",
       "FINNGEN_R5_AB1_BACTINF_NOS          2021-05-11       None     None   \n",
       "FINNGEN_R5_AB1_DERMATOPHYTOSIS      2021-05-11       None     None   \n",
       "FINNGEN_R5_AB1_EBV                  2021-05-11       None     None   \n",
       "FINNGEN_R5_AB1_GASTROENTERITIS_NOS  2021-05-11       None     None   \n",
       "FINNGEN_R5_AB1_GHLAMY_OTHER         2021-05-11       None     None   \n",
       "...                                        ...        ...      ...   \n",
       "SAIGE_960_2                         2018-10-24       None     None   \n",
       "SAIGE_965                           2018-10-24       None     None   \n",
       "SAIGE_965_1                         2018-10-24       None     None   \n",
       "SAIGE_967                           2018-10-24       None     None   \n",
       "SAIGE_971                           2018-10-24       None     None   \n",
       "\n",
       "                                     pubAuthor  hasSumstats  \\\n",
       "studyId                                                       \n",
       "FINNGEN_R5_AB1_BACTINF_NOS          FINNGEN_R5         True   \n",
       "FINNGEN_R5_AB1_DERMATOPHYTOSIS      FINNGEN_R5         True   \n",
       "FINNGEN_R5_AB1_EBV                  FINNGEN_R5         True   \n",
       "FINNGEN_R5_AB1_GASTROENTERITIS_NOS  FINNGEN_R5         True   \n",
       "FINNGEN_R5_AB1_GHLAMY_OTHER         FINNGEN_R5         True   \n",
       "...                                        ...          ...   \n",
       "SAIGE_960_2                          UKB SAIGE         True   \n",
       "SAIGE_965                            UKB SAIGE         True   \n",
       "SAIGE_965_1                          UKB SAIGE         True   \n",
       "SAIGE_967                            UKB SAIGE         True   \n",
       "SAIGE_971                            UKB SAIGE         True   \n",
       "\n",
       "                                      ancestryInitial  ... nInitial  \\\n",
       "studyId                                                ...            \n",
       "FINNGEN_R5_AB1_BACTINF_NOS          [European=218637]  ...   218637   \n",
       "FINNGEN_R5_AB1_DERMATOPHYTOSIS      [European=216472]  ...   216472   \n",
       "FINNGEN_R5_AB1_EBV                  [European=214904]  ...   214904   \n",
       "FINNGEN_R5_AB1_GASTROENTERITIS_NOS  [European=212553]  ...   212553   \n",
       "FINNGEN_R5_AB1_GHLAMY_OTHER         [European=218772]  ...   218772   \n",
       "...                                               ...  ...      ...   \n",
       "SAIGE_960_2                         [European=397887]  ...   397887   \n",
       "SAIGE_965                           [European=388707]  ...   388707   \n",
       "SAIGE_965_1                         [European=382947]  ...   382947   \n",
       "SAIGE_967                           [European=382385]  ...   382385   \n",
       "SAIGE_971                           [European=381988]  ...   381988   \n",
       "\n",
       "                                    nReplication nCases  \\\n",
       "studyId                                                   \n",
       "FINNGEN_R5_AB1_BACTINF_NOS                     0  20977   \n",
       "FINNGEN_R5_AB1_DERMATOPHYTOSIS                 0   1656   \n",
       "FINNGEN_R5_AB1_EBV                             0   1238   \n",
       "FINNGEN_R5_AB1_GASTROENTERITIS_NOS             0  15255   \n",
       "FINNGEN_R5_AB1_GHLAMY_OTHER                    0    167   \n",
       "...                                          ...    ...   \n",
       "SAIGE_960_2                                    0  16090   \n",
       "SAIGE_965                                      0   6910   \n",
       "SAIGE_965_1                                    0   1150   \n",
       "SAIGE_967                                      0    588   \n",
       "SAIGE_971                                      0    191   \n",
       "\n",
       "                                                              traitCategory  \\\n",
       "studyId                                                                       \n",
       "FINNGEN_R5_AB1_BACTINF_NOS                               infectious disease   \n",
       "FINNGEN_R5_AB1_DERMATOPHYTOSIS                           infectious disease   \n",
       "FINNGEN_R5_AB1_EBV                                       infectious disease   \n",
       "FINNGEN_R5_AB1_GASTROENTERITIS_NOS                       infectious disease   \n",
       "FINNGEN_R5_AB1_GHLAMY_OTHER                              infectious disease   \n",
       "...                                                                     ...   \n",
       "SAIGE_960_2                         injury, poisoning or other complication   \n",
       "SAIGE_965                           injury, poisoning or other complication   \n",
       "SAIGE_965_1                         injury, poisoning or other complication   \n",
       "SAIGE_967                           injury, poisoning or other complication   \n",
       "SAIGE_971                           injury, poisoning or other complication   \n",
       "\n",
       "                                   numAssocLoci  nTotal  \\\n",
       "studyId                                                   \n",
       "FINNGEN_R5_AB1_BACTINF_NOS                    2  218637   \n",
       "FINNGEN_R5_AB1_DERMATOPHYTOSIS                1  216472   \n",
       "FINNGEN_R5_AB1_EBV                            1  214904   \n",
       "FINNGEN_R5_AB1_GASTROENTERITIS_NOS            1  212553   \n",
       "FINNGEN_R5_AB1_GHLAMY_OTHER                   1  218772   \n",
       "...                                         ...     ...   \n",
       "SAIGE_960_2                                   1  397887   \n",
       "SAIGE_965                                     1  388707   \n",
       "SAIGE_965_1                                   1  382947   \n",
       "SAIGE_967                                     1  382385   \n",
       "SAIGE_971                                     1  381988   \n",
       "\n",
       "                                           bestLocus2GenesOrClosest_id  \\\n",
       "studyId                                                                  \n",
       "FINNGEN_R5_AB1_BACTINF_NOS          (ENSG00000132693, ENSG00000118922)   \n",
       "FINNGEN_R5_AB1_DERMATOPHYTOSIS                      (ENSG00000118434,)   \n",
       "FINNGEN_R5_AB1_EBV                                  (ENSG00000268043,)   \n",
       "FINNGEN_R5_AB1_GASTROENTERITIS_NOS                  (ENSG00000178764,)   \n",
       "FINNGEN_R5_AB1_GHLAMY_OTHER         (ENSG00000112818, ENSG00000069122)   \n",
       "...                                                                ...   \n",
       "SAIGE_960_2                                         (ENSG00000188981,)   \n",
       "SAIGE_965                                           (ENSG00000145839,)   \n",
       "SAIGE_965_1                                         (ENSG00000152495,)   \n",
       "SAIGE_967                                           (ENSG00000101574,)   \n",
       "SAIGE_971                                           (ENSG00000172361,)   \n",
       "\n",
       "                                   bestLocus2GenesOrClosest_symbol  \\\n",
       "studyId                                                              \n",
       "FINNGEN_R5_AB1_BACTINF_NOS                            (CRP, KLF12)   \n",
       "FINNGEN_R5_AB1_DERMATOPHYTOSIS                           (SPACA1,)   \n",
       "FINNGEN_R5_AB1_EBV                                       (NBPF12,)   \n",
       "FINNGEN_R5_AB1_GASTROENTERITIS_NOS                         (ZHX2,)   \n",
       "FINNGEN_R5_AB1_GHLAMY_OTHER                        (MEP1A, ADGRF5)   \n",
       "...                                                            ...   \n",
       "SAIGE_960_2                                             (MSANTD1,)   \n",
       "SAIGE_965                                                   (IL9,)   \n",
       "SAIGE_965_1                                               (CAMK4,)   \n",
       "SAIGE_967                                                (METTL4,)   \n",
       "SAIGE_971                                                (CFAP53,)   \n",
       "\n",
       "                                                                variant_gene_id_pairs  \\\n",
       "studyId                                                                                 \n",
       "FINNGEN_R5_AB1_BACTINF_NOS          (((ENSG00000132693,), 1_159743672_A_G), ((ENSG...   \n",
       "FINNGEN_R5_AB1_DERMATOPHYTOSIS                (((ENSG00000118434,), 6_87971973_T_C),)   \n",
       "FINNGEN_R5_AB1_EBV                           (((ENSG00000268043,), 1_147027146_G_A),)   \n",
       "FINNGEN_R5_AB1_GASTROENTERITIS_NOS           (((ENSG00000178764,), 8_122593984_C_T),)   \n",
       "FINNGEN_R5_AB1_GHLAMY_OTHER         (((ENSG00000112818, ENSG00000069122), 6_468771...   \n",
       "...                                                                               ...   \n",
       "SAIGE_960_2                                    (((ENSG00000188981,), 4_3240118_C_T),)   \n",
       "SAIGE_965                                    (((ENSG00000145839,), 5_135834716_T_G),)   \n",
       "SAIGE_965_1                                  (((ENSG00000152495,), 5_111211885_A_G),)   \n",
       "SAIGE_967                                     (((ENSG00000101574,), 18_1777012_G_A),)   \n",
       "SAIGE_971                                    (((ENSG00000172361,), 18_50238751_G_C),)   \n",
       "\n",
       "                                                            variant_gene_symbol_pairs  \n",
       "studyId                                                                                \n",
       "FINNGEN_R5_AB1_BACTINF_NOS          (((CRP,), 1_159743672_A_G), ((KLF12,), 13_7429...  \n",
       "FINNGEN_R5_AB1_DERMATOPHYTOSIS                         (((SPACA1,), 6_87971973_T_C),)  \n",
       "FINNGEN_R5_AB1_EBV                                    (((NBPF12,), 1_147027146_G_A),)  \n",
       "FINNGEN_R5_AB1_GASTROENTERITIS_NOS                      (((ZHX2,), 8_122593984_C_T),)  \n",
       "FINNGEN_R5_AB1_GHLAMY_OTHER                      (((MEP1A, ADGRF5), 6_46877116_T_G),)  \n",
       "...                                                                               ...  \n",
       "SAIGE_960_2                                            (((MSANTD1,), 4_3240118_C_T),)  \n",
       "SAIGE_965                                                (((IL9,), 5_135834716_T_G),)  \n",
       "SAIGE_965_1                                            (((CAMK4,), 5_111211885_A_G),)  \n",
       "SAIGE_967                                              (((METTL4,), 18_1777012_G_A),)  \n",
       "SAIGE_971                                             (((CFAP53,), 18_50238751_G_C),)  \n",
       "\n",
       "[17054 rows x 21 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "otg_info = pd.read_pickle('data/info.pkl')\n",
    "otg_info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "traitReported                                Blood protein levels [A1CF, 12423_38_3]\n",
       "source                                                                          GCST\n",
       "traitEfos                                                              [EFO_0007937]\n",
       "pmid                                                                   PMID:30072576\n",
       "pubDate                                                                   2018-08-02\n",
       "pubJournal                                                                   Science\n",
       "pubTitle                           Co-regulatory networks of human serum proteins...\n",
       "pubAuthor                                                                 Emilsson V\n",
       "hasSumstats                                                                    False\n",
       "ancestryInitial                                                      [European=3200]\n",
       "ancestryReplication                                                               []\n",
       "nInitial                                                                        3200\n",
       "nReplication                                                                     NaN\n",
       "nCases                                                                           NaN\n",
       "traitCategory                                                            measurement\n",
       "numAssocLoci                                                                       1\n",
       "nTotal                                                                          3200\n",
       "bestLocus2GenesOrClosest_id                                       (ENSG00000113889,)\n",
       "bestLocus2GenesOrClosest_symbol                                              (KNG1,)\n",
       "variant_gene_id_pairs                       (((ENSG00000113889,), 3_186731333_A_G),)\n",
       "variant_gene_symbol_pairs                              (((KNG1,), 3_186731333_A_G),)\n",
       "Name: GCST006585, dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "otg_info.loc['GCST006585']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download GWAS catalog from EBI and exclude studies that are already processed by OTG"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.options.display.max_columns = None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/gokcen/.miniconda3/lib/python3.8/site-packages/IPython/core/interactiveshell.py:3146: DtypeWarning: Columns (9,12,23) have mixed types.Specify dtype option on import or set low_memory=False.\n",
      "  has_raised = await self.run_ast_nodes(code_ast.body, cell_name,\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE ADDED TO CATALOG</th>\n",
       "      <th>PUBMEDID</th>\n",
       "      <th>FIRST AUTHOR</th>\n",
       "      <th>DATE</th>\n",
       "      <th>JOURNAL</th>\n",
       "      <th>LINK</th>\n",
       "      <th>STUDY</th>\n",
       "      <th>DISEASE/TRAIT</th>\n",
       "      <th>INITIAL SAMPLE SIZE</th>\n",
       "      <th>REPLICATION SAMPLE SIZE</th>\n",
       "      <th>REGION</th>\n",
       "      <th>CHR_ID</th>\n",
       "      <th>CHR_POS</th>\n",
       "      <th>REPORTED GENE(S)</th>\n",
       "      <th>MAPPED_GENE</th>\n",
       "      <th>UPSTREAM_GENE_ID</th>\n",
       "      <th>DOWNSTREAM_GENE_ID</th>\n",
       "      <th>SNP_GENE_IDS</th>\n",
       "      <th>UPSTREAM_GENE_DISTANCE</th>\n",
       "      <th>DOWNSTREAM_GENE_DISTANCE</th>\n",
       "      <th>STRONGEST SNP-RISK ALLELE</th>\n",
       "      <th>SNPS</th>\n",
       "      <th>MERGED</th>\n",
       "      <th>SNP_ID_CURRENT</th>\n",
       "      <th>CONTEXT</th>\n",
       "      <th>INTERGENIC</th>\n",
       "      <th>RISK ALLELE FREQUENCY</th>\n",
       "      <th>P-VALUE</th>\n",
       "      <th>PVALUE_MLOG</th>\n",
       "      <th>P-VALUE (TEXT)</th>\n",
       "      <th>OR or BETA</th>\n",
       "      <th>95% CI (TEXT)</th>\n",
       "      <th>PLATFORM [SNPS PASSING QC]</th>\n",
       "      <th>CNV</th>\n",
       "      <th>MAPPED_TRAIT</th>\n",
       "      <th>MAPPED_TRAIT_URI</th>\n",
       "      <th>GENOTYPING TECHNOLOGY</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STUDY ACCESSION</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GCST000189</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18464913</td>\n",
       "      <td>Melzer D</td>\n",
       "      <td>2008-05-09</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18464913</td>\n",
       "      <td>A genome-wide association study identifies pro...</td>\n",
       "      <td>Protein quantitative trait loci</td>\n",
       "      <td>1,200 European ancestry individuals</td>\n",
       "      <td>up to 4,590 European ancestry individuals</td>\n",
       "      <td>17q12</td>\n",
       "      <td>17</td>\n",
       "      <td>36463349</td>\n",
       "      <td>CCL4L2</td>\n",
       "      <td>TBC1D3J - ZNHIT3</td>\n",
       "      <td>ENSG00000282656</td>\n",
       "      <td>ENSG00000273611</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5814.0</td>\n",
       "      <td>23280.0</td>\n",
       "      <td>rs4796217-?</td>\n",
       "      <td>rs4796217</td>\n",
       "      <td>0</td>\n",
       "      <td>4796217.0</td>\n",
       "      <td>regulatory_region_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.34</td>\n",
       "      <td>4.000000e-21</td>\n",
       "      <td>20.397940</td>\n",
       "      <td>(MIPb)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [496032]</td>\n",
       "      <td>N</td>\n",
       "      <td>CCL4 measurement</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0004751</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000189</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18464913</td>\n",
       "      <td>Melzer D</td>\n",
       "      <td>2008-05-09</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18464913</td>\n",
       "      <td>A genome-wide association study identifies pro...</td>\n",
       "      <td>Protein quantitative trait loci</td>\n",
       "      <td>1,200 European ancestry individuals</td>\n",
       "      <td>up to 4,590 European ancestry individuals</td>\n",
       "      <td>6q25.3</td>\n",
       "      <td>6</td>\n",
       "      <td>160597142</td>\n",
       "      <td>LPA</td>\n",
       "      <td>LPA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ENSG00000198670</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>rs7770628-?</td>\n",
       "      <td>rs7770628</td>\n",
       "      <td>0</td>\n",
       "      <td>7770628.0</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.49</td>\n",
       "      <td>4.000000e-10</td>\n",
       "      <td>9.397940</td>\n",
       "      <td>(LPA)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [496032]</td>\n",
       "      <td>N</td>\n",
       "      <td>Apolipoprotein A 1 measurement</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0004614</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000189</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18464913</td>\n",
       "      <td>Melzer D</td>\n",
       "      <td>2008-05-09</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18464913</td>\n",
       "      <td>A genome-wide association study identifies pro...</td>\n",
       "      <td>Protein quantitative trait loci</td>\n",
       "      <td>1,200 European ancestry individuals</td>\n",
       "      <td>up to 4,590 European ancestry individuals</td>\n",
       "      <td>9q34.2</td>\n",
       "      <td>9</td>\n",
       "      <td>133273813</td>\n",
       "      <td>ABO</td>\n",
       "      <td>ABO, ABO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ENSG00000175164, ENSG00000281879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>rs505922-?</td>\n",
       "      <td>rs505922</td>\n",
       "      <td>0</td>\n",
       "      <td>505922.0</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.34</td>\n",
       "      <td>7.000000e-40</td>\n",
       "      <td>39.154902</td>\n",
       "      <td>(TNFA)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [496032]</td>\n",
       "      <td>N</td>\n",
       "      <td>Tumor necrosis factor-alpha measurement</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0004684</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000184</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18454146</td>\n",
       "      <td>Chambers JC</td>\n",
       "      <td>2008-05-04</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18454146</td>\n",
       "      <td>Common genetic variation near MC4R is associat...</td>\n",
       "      <td>Waist circumference and related phenotypes</td>\n",
       "      <td>2,684 Indian Asian ancestry male individuals</td>\n",
       "      <td>7,394 Indian Asian ancestry individuals, 4,561...</td>\n",
       "      <td>16q13</td>\n",
       "      <td>16</td>\n",
       "      <td>56959412</td>\n",
       "      <td>CETP</td>\n",
       "      <td>HERPUD1 - CETP</td>\n",
       "      <td>ENSG00000051108</td>\n",
       "      <td>ENSG00000087237</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14548.0</td>\n",
       "      <td>2511.0</td>\n",
       "      <td>rs3764261-?</td>\n",
       "      <td>rs3764261</td>\n",
       "      <td>0</td>\n",
       "      <td>3764261.0</td>\n",
       "      <td>regulatory_region_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>1.000000e-27</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>(HDL cholesterol)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [308067]</td>\n",
       "      <td>N</td>\n",
       "      <td>High density lipoprotein cholesterol measurement</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0004612</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000184</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18454146</td>\n",
       "      <td>Chambers JC</td>\n",
       "      <td>2008-05-04</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18454146</td>\n",
       "      <td>Common genetic variation near MC4R is associat...</td>\n",
       "      <td>Waist circumference and related phenotypes</td>\n",
       "      <td>2,684 Indian Asian ancestry male individuals</td>\n",
       "      <td>7,394 Indian Asian ancestry individuals, 4,561...</td>\n",
       "      <td>2p23.3</td>\n",
       "      <td>2</td>\n",
       "      <td>27508073</td>\n",
       "      <td>GCKR</td>\n",
       "      <td>GCKR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ENSG00000084734</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>rs1260326-?</td>\n",
       "      <td>rs1260326</td>\n",
       "      <td>0</td>\n",
       "      <td>1260326.0</td>\n",
       "      <td>missense_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>4.000000e-08</td>\n",
       "      <td>7.397940</td>\n",
       "      <td>(triglycerides)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [308067]</td>\n",
       "      <td>N</td>\n",
       "      <td>Triglyceride measurement</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0004530</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST012179</th>\n",
       "      <td>2021-08-13</td>\n",
       "      <td>34302048</td>\n",
       "      <td>Qu HQ</td>\n",
       "      <td>2021-07-23</td>\n",
       "      <td>Commun Biol</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34302048</td>\n",
       "      <td>Genetic architecture of type 1 diabetes with l...</td>\n",
       "      <td>Type 1 diabetes</td>\n",
       "      <td>6,599 European ancestry cases, 12,323 European...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr8:56693303-ATT</td>\n",
       "      <td>chr8:56693303</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>4.000000e-10</td>\n",
       "      <td>9.397940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.2190</td>\n",
       "      <td>[1.146-1.297]</td>\n",
       "      <td>Illumina [104689647] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>Type I diabetes mellitus</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0001359</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST012179</th>\n",
       "      <td>2021-08-13</td>\n",
       "      <td>34302048</td>\n",
       "      <td>Qu HQ</td>\n",
       "      <td>2021-07-23</td>\n",
       "      <td>Commun Biol</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34302048</td>\n",
       "      <td>Genetic architecture of type 1 diabetes with l...</td>\n",
       "      <td>Type 1 diabetes</td>\n",
       "      <td>6,599 European ancestry cases, 12,323 European...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr4:92954497-G</td>\n",
       "      <td>chr4:92954497</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>7.000000e-09</td>\n",
       "      <td>8.154902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.2180</td>\n",
       "      <td>[1.139-1.302]</td>\n",
       "      <td>Illumina [104689647] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>Type I diabetes mellitus</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0001359</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST012179</th>\n",
       "      <td>2021-08-13</td>\n",
       "      <td>34302048</td>\n",
       "      <td>Qu HQ</td>\n",
       "      <td>2021-07-23</td>\n",
       "      <td>Commun Biol</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34302048</td>\n",
       "      <td>Genetic architecture of type 1 diabetes with l...</td>\n",
       "      <td>Type 1 diabetes</td>\n",
       "      <td>6,599 European ancestry cases, 12,323 European...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr1:37781423-G</td>\n",
       "      <td>chr1:37781423</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>6.000000e-16</td>\n",
       "      <td>15.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.2070</td>\n",
       "      <td>[1.153-1.263]</td>\n",
       "      <td>Illumina [104689647] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>Type I diabetes mellitus</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0001359</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST012179</th>\n",
       "      <td>2021-08-13</td>\n",
       "      <td>34302048</td>\n",
       "      <td>Qu HQ</td>\n",
       "      <td>2021-07-23</td>\n",
       "      <td>Commun Biol</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34302048</td>\n",
       "      <td>Genetic architecture of type 1 diabetes with l...</td>\n",
       "      <td>Type 1 diabetes</td>\n",
       "      <td>6,599 European ancestry cases, 12,323 European...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr12:65543332-G</td>\n",
       "      <td>chr12:65543332</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>1.000000e-09</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.1990</td>\n",
       "      <td>[1.131-1.272]</td>\n",
       "      <td>Illumina [104689647] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>Type I diabetes mellitus</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0001359</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST90000181</th>\n",
       "      <td>2021-08-13</td>\n",
       "      <td>34302048</td>\n",
       "      <td>Qu HQ</td>\n",
       "      <td>2021-07-23</td>\n",
       "      <td>Commun Biol</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34302048</td>\n",
       "      <td>Genetic architecture of type 1 diabetes with l...</td>\n",
       "      <td>Type 1 diabetes with low genetic risk score</td>\n",
       "      <td>957 European ancestry cases, 12,323 European a...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr2:134846613-C</td>\n",
       "      <td>chr2:134846613</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>2.000000e-13</td>\n",
       "      <td>12.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.7009</td>\n",
       "      <td>[0.6375-0.7705]</td>\n",
       "      <td>Illumina [104689647] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>Type I diabetes mellitus</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0001359</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24774 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                DATE ADDED TO CATALOG  PUBMEDID FIRST AUTHOR        DATE  \\\n",
       "STUDY ACCESSION                                                            \n",
       "GCST000189                 2008-06-22  18464913     Melzer D  2008-05-09   \n",
       "GCST000189                 2008-06-22  18464913     Melzer D  2008-05-09   \n",
       "GCST000189                 2008-06-22  18464913     Melzer D  2008-05-09   \n",
       "GCST000184                 2008-06-22  18454146  Chambers JC  2008-05-04   \n",
       "GCST000184                 2008-06-22  18454146  Chambers JC  2008-05-04   \n",
       "...                               ...       ...          ...         ...   \n",
       "GCST012179                 2021-08-13  34302048        Qu HQ  2021-07-23   \n",
       "GCST012179                 2021-08-13  34302048        Qu HQ  2021-07-23   \n",
       "GCST012179                 2021-08-13  34302048        Qu HQ  2021-07-23   \n",
       "GCST012179                 2021-08-13  34302048        Qu HQ  2021-07-23   \n",
       "GCST90000181               2021-08-13  34302048        Qu HQ  2021-07-23   \n",
       "\n",
       "                     JOURNAL                                  LINK  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000189        PLoS Genet  www.ncbi.nlm.nih.gov/pubmed/18464913   \n",
       "GCST000189        PLoS Genet  www.ncbi.nlm.nih.gov/pubmed/18464913   \n",
       "GCST000189        PLoS Genet  www.ncbi.nlm.nih.gov/pubmed/18464913   \n",
       "GCST000184         Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18454146   \n",
       "GCST000184         Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18454146   \n",
       "...                      ...                                   ...   \n",
       "GCST012179       Commun Biol  www.ncbi.nlm.nih.gov/pubmed/34302048   \n",
       "GCST012179       Commun Biol  www.ncbi.nlm.nih.gov/pubmed/34302048   \n",
       "GCST012179       Commun Biol  www.ncbi.nlm.nih.gov/pubmed/34302048   \n",
       "GCST012179       Commun Biol  www.ncbi.nlm.nih.gov/pubmed/34302048   \n",
       "GCST90000181     Commun Biol  www.ncbi.nlm.nih.gov/pubmed/34302048   \n",
       "\n",
       "                                                             STUDY  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000189       A genome-wide association study identifies pro...   \n",
       "GCST000189       A genome-wide association study identifies pro...   \n",
       "GCST000189       A genome-wide association study identifies pro...   \n",
       "GCST000184       Common genetic variation near MC4R is associat...   \n",
       "GCST000184       Common genetic variation near MC4R is associat...   \n",
       "...                                                            ...   \n",
       "GCST012179       Genetic architecture of type 1 diabetes with l...   \n",
       "GCST012179       Genetic architecture of type 1 diabetes with l...   \n",
       "GCST012179       Genetic architecture of type 1 diabetes with l...   \n",
       "GCST012179       Genetic architecture of type 1 diabetes with l...   \n",
       "GCST90000181     Genetic architecture of type 1 diabetes with l...   \n",
       "\n",
       "                                               DISEASE/TRAIT  \\\n",
       "STUDY ACCESSION                                                \n",
       "GCST000189                   Protein quantitative trait loci   \n",
       "GCST000189                   Protein quantitative trait loci   \n",
       "GCST000189                   Protein quantitative trait loci   \n",
       "GCST000184        Waist circumference and related phenotypes   \n",
       "GCST000184        Waist circumference and related phenotypes   \n",
       "...                                                      ...   \n",
       "GCST012179                                   Type 1 diabetes   \n",
       "GCST012179                                   Type 1 diabetes   \n",
       "GCST012179                                   Type 1 diabetes   \n",
       "GCST012179                                   Type 1 diabetes   \n",
       "GCST90000181     Type 1 diabetes with low genetic risk score   \n",
       "\n",
       "                                               INITIAL SAMPLE SIZE  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000189                     1,200 European ancestry individuals   \n",
       "GCST000189                     1,200 European ancestry individuals   \n",
       "GCST000189                     1,200 European ancestry individuals   \n",
       "GCST000184            2,684 Indian Asian ancestry male individuals   \n",
       "GCST000184            2,684 Indian Asian ancestry male individuals   \n",
       "...                                                            ...   \n",
       "GCST012179       6,599 European ancestry cases, 12,323 European...   \n",
       "GCST012179       6,599 European ancestry cases, 12,323 European...   \n",
       "GCST012179       6,599 European ancestry cases, 12,323 European...   \n",
       "GCST012179       6,599 European ancestry cases, 12,323 European...   \n",
       "GCST90000181     957 European ancestry cases, 12,323 European a...   \n",
       "\n",
       "                                           REPLICATION SAMPLE SIZE  REGION  \\\n",
       "STUDY ACCESSION                                                              \n",
       "GCST000189               up to 4,590 European ancestry individuals   17q12   \n",
       "GCST000189               up to 4,590 European ancestry individuals  6q25.3   \n",
       "GCST000189               up to 4,590 European ancestry individuals  9q34.2   \n",
       "GCST000184       7,394 Indian Asian ancestry individuals, 4,561...   16q13   \n",
       "GCST000184       7,394 Indian Asian ancestry individuals, 4,561...  2p23.3   \n",
       "...                                                            ...     ...   \n",
       "GCST012179                                                     NaN     NaN   \n",
       "GCST012179                                                     NaN     NaN   \n",
       "GCST012179                                                     NaN     NaN   \n",
       "GCST012179                                                     NaN     NaN   \n",
       "GCST90000181                                                   NaN     NaN   \n",
       "\n",
       "                CHR_ID    CHR_POS REPORTED GENE(S)       MAPPED_GENE  \\\n",
       "STUDY ACCESSION                                                        \n",
       "GCST000189          17   36463349           CCL4L2  TBC1D3J - ZNHIT3   \n",
       "GCST000189           6  160597142              LPA               LPA   \n",
       "GCST000189           9  133273813              ABO          ABO, ABO   \n",
       "GCST000184          16   56959412             CETP    HERPUD1 - CETP   \n",
       "GCST000184           2   27508073             GCKR              GCKR   \n",
       "...                ...        ...              ...               ...   \n",
       "GCST012179         NaN        NaN               NR               NaN   \n",
       "GCST012179         NaN        NaN               NR               NaN   \n",
       "GCST012179         NaN        NaN               NR               NaN   \n",
       "GCST012179         NaN        NaN               NR               NaN   \n",
       "GCST90000181       NaN        NaN               NR               NaN   \n",
       "\n",
       "                UPSTREAM_GENE_ID DOWNSTREAM_GENE_ID  \\\n",
       "STUDY ACCESSION                                       \n",
       "GCST000189       ENSG00000282656    ENSG00000273611   \n",
       "GCST000189                   NaN                NaN   \n",
       "GCST000189                   NaN                NaN   \n",
       "GCST000184       ENSG00000051108    ENSG00000087237   \n",
       "GCST000184                   NaN                NaN   \n",
       "...                          ...                ...   \n",
       "GCST012179                   NaN                NaN   \n",
       "GCST012179                   NaN                NaN   \n",
       "GCST012179                   NaN                NaN   \n",
       "GCST012179                   NaN                NaN   \n",
       "GCST90000181                 NaN                NaN   \n",
       "\n",
       "                                     SNP_GENE_IDS  UPSTREAM_GENE_DISTANCE  \\\n",
       "STUDY ACCESSION                                                             \n",
       "GCST000189                                    NaN                  5814.0   \n",
       "GCST000189                        ENSG00000198670                     NaN   \n",
       "GCST000189       ENSG00000175164, ENSG00000281879                     NaN   \n",
       "GCST000184                                    NaN                 14548.0   \n",
       "GCST000184                        ENSG00000084734                     NaN   \n",
       "...                                           ...                     ...   \n",
       "GCST012179                                    NaN                     NaN   \n",
       "GCST012179                                    NaN                     NaN   \n",
       "GCST012179                                    NaN                     NaN   \n",
       "GCST012179                                    NaN                     NaN   \n",
       "GCST90000181                                  NaN                     NaN   \n",
       "\n",
       "                 DOWNSTREAM_GENE_DISTANCE STRONGEST SNP-RISK ALLELE  \\\n",
       "STUDY ACCESSION                                                       \n",
       "GCST000189                        23280.0               rs4796217-?   \n",
       "GCST000189                            NaN               rs7770628-?   \n",
       "GCST000189                            NaN                rs505922-?   \n",
       "GCST000184                         2511.0               rs3764261-?   \n",
       "GCST000184                            NaN               rs1260326-?   \n",
       "...                                   ...                       ...   \n",
       "GCST012179                            NaN         chr8:56693303-ATT   \n",
       "GCST012179                            NaN           chr4:92954497-G   \n",
       "GCST012179                            NaN           chr1:37781423-G   \n",
       "GCST012179                            NaN          chr12:65543332-G   \n",
       "GCST90000181                          NaN          chr2:134846613-C   \n",
       "\n",
       "                           SNPS  MERGED SNP_ID_CURRENT  \\\n",
       "STUDY ACCESSION                                          \n",
       "GCST000189            rs4796217       0      4796217.0   \n",
       "GCST000189            rs7770628       0      7770628.0   \n",
       "GCST000189             rs505922       0       505922.0   \n",
       "GCST000184            rs3764261       0      3764261.0   \n",
       "GCST000184            rs1260326       0      1260326.0   \n",
       "...                         ...     ...            ...   \n",
       "GCST012179        chr8:56693303       0            NaN   \n",
       "GCST012179        chr4:92954497       0            NaN   \n",
       "GCST012179        chr1:37781423       0            NaN   \n",
       "GCST012179       chr12:65543332       0            NaN   \n",
       "GCST90000181     chr2:134846613       0            NaN   \n",
       "\n",
       "                                   CONTEXT  INTERGENIC RISK ALLELE FREQUENCY  \\\n",
       "STUDY ACCESSION                                                                \n",
       "GCST000189       regulatory_region_variant         1.0                  0.34   \n",
       "GCST000189                  intron_variant         0.0                  0.49   \n",
       "GCST000189                  intron_variant         0.0                  0.34   \n",
       "GCST000184       regulatory_region_variant         1.0                    NR   \n",
       "GCST000184                missense_variant         0.0                    NR   \n",
       "...                                    ...         ...                   ...   \n",
       "GCST012179                             NaN         1.0                    NR   \n",
       "GCST012179                             NaN         1.0                    NR   \n",
       "GCST012179                             NaN         1.0                    NR   \n",
       "GCST012179                             NaN         1.0                    NR   \n",
       "GCST90000181                           NaN         1.0                    NR   \n",
       "\n",
       "                      P-VALUE  PVALUE_MLOG     P-VALUE (TEXT)  OR or BETA  \\\n",
       "STUDY ACCESSION                                                             \n",
       "GCST000189       4.000000e-21    20.397940             (MIPb)         NaN   \n",
       "GCST000189       4.000000e-10     9.397940              (LPA)         NaN   \n",
       "GCST000189       7.000000e-40    39.154902             (TNFA)         NaN   \n",
       "GCST000184       1.000000e-27    27.000000  (HDL cholesterol)         NaN   \n",
       "GCST000184       4.000000e-08     7.397940    (triglycerides)         NaN   \n",
       "...                       ...          ...                ...         ...   \n",
       "GCST012179       4.000000e-10     9.397940                NaN      1.2190   \n",
       "GCST012179       7.000000e-09     8.154902                NaN      1.2180   \n",
       "GCST012179       6.000000e-16    15.221849                NaN      1.2070   \n",
       "GCST012179       1.000000e-09     9.000000                NaN      1.1990   \n",
       "GCST90000181     2.000000e-13    12.698970                NaN      0.7009   \n",
       "\n",
       "                   95% CI (TEXT)      PLATFORM [SNPS PASSING QC] CNV  \\\n",
       "STUDY ACCESSION                                                        \n",
       "GCST000189                   NaN               Illumina [496032]   N   \n",
       "GCST000189                   NaN               Illumina [496032]   N   \n",
       "GCST000189                   NaN               Illumina [496032]   N   \n",
       "GCST000184                   NaN               Illumina [308067]   N   \n",
       "GCST000184                   NaN               Illumina [308067]   N   \n",
       "...                          ...                             ...  ..   \n",
       "GCST012179         [1.146-1.297]  Illumina [104689647] (imputed)   N   \n",
       "GCST012179         [1.139-1.302]  Illumina [104689647] (imputed)   N   \n",
       "GCST012179         [1.153-1.263]  Illumina [104689647] (imputed)   N   \n",
       "GCST012179         [1.131-1.272]  Illumina [104689647] (imputed)   N   \n",
       "GCST90000181     [0.6375-0.7705]  Illumina [104689647] (imputed)   N   \n",
       "\n",
       "                                                     MAPPED_TRAIT  \\\n",
       "STUDY ACCESSION                                                     \n",
       "GCST000189                                       CCL4 measurement   \n",
       "GCST000189                         Apolipoprotein A 1 measurement   \n",
       "GCST000189                Tumor necrosis factor-alpha measurement   \n",
       "GCST000184       High density lipoprotein cholesterol measurement   \n",
       "GCST000184                               Triglyceride measurement   \n",
       "...                                                           ...   \n",
       "GCST012179                               Type I diabetes mellitus   \n",
       "GCST012179                               Type I diabetes mellitus   \n",
       "GCST012179                               Type I diabetes mellitus   \n",
       "GCST012179                               Type I diabetes mellitus   \n",
       "GCST90000181                             Type I diabetes mellitus   \n",
       "\n",
       "                                     MAPPED_TRAIT_URI  \\\n",
       "STUDY ACCESSION                                         \n",
       "GCST000189       http://www.ebi.ac.uk/efo/EFO_0004751   \n",
       "GCST000189       http://www.ebi.ac.uk/efo/EFO_0004614   \n",
       "GCST000189       http://www.ebi.ac.uk/efo/EFO_0004684   \n",
       "GCST000184       http://www.ebi.ac.uk/efo/EFO_0004612   \n",
       "GCST000184       http://www.ebi.ac.uk/efo/EFO_0004530   \n",
       "...                                               ...   \n",
       "GCST012179       http://www.ebi.ac.uk/efo/EFO_0001359   \n",
       "GCST012179       http://www.ebi.ac.uk/efo/EFO_0001359   \n",
       "GCST012179       http://www.ebi.ac.uk/efo/EFO_0001359   \n",
       "GCST012179       http://www.ebi.ac.uk/efo/EFO_0001359   \n",
       "GCST90000181     http://www.ebi.ac.uk/efo/EFO_0001359   \n",
       "\n",
       "                        GENOTYPING TECHNOLOGY  \n",
       "STUDY ACCESSION                                \n",
       "GCST000189       Genome-wide genotyping array  \n",
       "GCST000189       Genome-wide genotyping array  \n",
       "GCST000189       Genome-wide genotyping array  \n",
       "GCST000184       Genome-wide genotyping array  \n",
       "GCST000184       Genome-wide genotyping array  \n",
       "...                                       ...  \n",
       "GCST012179       Genome-wide genotyping array  \n",
       "GCST012179       Genome-wide genotyping array  \n",
       "GCST012179       Genome-wide genotyping array  \n",
       "GCST012179       Genome-wide genotyping array  \n",
       "GCST90000181     Genome-wide genotyping array  \n",
       "\n",
       "[24774 rows x 37 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ebi = pd.read_table('https://www.ebi.ac.uk/gwas/api/search/downloads/alternative')\n",
    "ebi = ebi[~ebi['STUDY ACCESSION'].isin(otg_info.index.values)].sort_values('DATE ADDED TO CATALOG').set_index('STUDY ACCESSION')\n",
    "ebi = ebi[~ebi['PUBMEDID'].isin(['29875488', '28915241', '28369058', '27532455'])] ## remove blood protein levels\n",
    "ebi = ebi[ebi['P-VALUE'].astype(float) <= 5e-8]\n",
    "ebi['MAPPED_TRAIT'] = [f'{x[0].upper()}{x[1:]}' if not pd.isna(x) else x for x in ebi['MAPPED_TRAIT']]\n",
    "\n",
    "ebi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE ADDED TO CATALOG</th>\n",
       "      <th>PUBMEDID</th>\n",
       "      <th>FIRST AUTHOR</th>\n",
       "      <th>DATE</th>\n",
       "      <th>JOURNAL</th>\n",
       "      <th>LINK</th>\n",
       "      <th>STUDY</th>\n",
       "      <th>DISEASE/TRAIT</th>\n",
       "      <th>INITIAL SAMPLE SIZE</th>\n",
       "      <th>REPLICATION SAMPLE SIZE</th>\n",
       "      <th>PLATFORM [SNPS PASSING QC]</th>\n",
       "      <th>ASSOCIATION COUNT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2008-09-12</td>\n",
       "      <td>18391950</td>\n",
       "      <td>Lettre G</td>\n",
       "      <td>2008-04-06</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18391950</td>\n",
       "      <td>Identification of ten loci associated with hei...</td>\n",
       "      <td>Height</td>\n",
       "      <td>15,821 European ancestry individuals</td>\n",
       "      <td>Up to 17,801 European ancestry individuals</td>\n",
       "      <td>Affymetrix, Illumina [2260683] (imputed)</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2008-07-01</td>\n",
       "      <td>18391951</td>\n",
       "      <td>Gudbjartsson DF</td>\n",
       "      <td>2008-04-06</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18391951</td>\n",
       "      <td>Many sequence variants affecting diversity of ...</td>\n",
       "      <td>Height</td>\n",
       "      <td>30,968 European ancestry individuals</td>\n",
       "      <td>8,541 European ancestry individuals</td>\n",
       "      <td>Affymetrix, Illumina [up to 304226]</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2009-02-27</td>\n",
       "      <td>19136949</td>\n",
       "      <td>Carrasquillo MM</td>\n",
       "      <td>2009-01-11</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/19136949</td>\n",
       "      <td>Genetic variation in PCDH11X is associated wit...</td>\n",
       "      <td>Alzheimer's disease</td>\n",
       "      <td>844 European ancestry cases, 1,255 European an...</td>\n",
       "      <td>1,547 European ancestry cases, 1,209 European ...</td>\n",
       "      <td>Illumina [313504]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18385738</td>\n",
       "      <td>Hung RJ</td>\n",
       "      <td>2008-04-03</td>\n",
       "      <td>Nature</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18385738</td>\n",
       "      <td>A susceptibility locus for lung cancer maps to...</td>\n",
       "      <td>Lung cancer</td>\n",
       "      <td>1,926 European ance other ancestry cases, 2,52...</td>\n",
       "      <td>332 European ancestry cases, 462 European ance...</td>\n",
       "      <td>Illumina [310023]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18385676</td>\n",
       "      <td>Amos CI</td>\n",
       "      <td>2008-04-03</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18385676</td>\n",
       "      <td>Genome-wide association scan of tag SNPs ident...</td>\n",
       "      <td>Lung cancer</td>\n",
       "      <td>1,154 European ancestry cases, 1,137 European ...</td>\n",
       "      <td>2,724 European ancestry cases, 3,694 European ...</td>\n",
       "      <td>Illumina [317498]</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18754</th>\n",
       "      <td>2019-02-08</td>\n",
       "      <td>30595370</td>\n",
       "      <td>Kichaev G</td>\n",
       "      <td>2018-12-27</td>\n",
       "      <td>Am J Hum Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/30595370</td>\n",
       "      <td>Leveraging Polygenic Functional Enrichment to ...</td>\n",
       "      <td>Hair color</td>\n",
       "      <td>approximately 452,000 European ancestry indivi...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NR [~ 8900000] (imputed)</td>\n",
       "      <td>449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18755</th>\n",
       "      <td>2019-02-08</td>\n",
       "      <td>30595370</td>\n",
       "      <td>Kichaev G</td>\n",
       "      <td>2018-12-27</td>\n",
       "      <td>Am J Hum Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/30595370</td>\n",
       "      <td>Leveraging Polygenic Functional Enrichment to ...</td>\n",
       "      <td>Morning person</td>\n",
       "      <td>approximately 410,000 European ancestry indivi...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NR [~ 8900000] (imputed)</td>\n",
       "      <td>168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18756</th>\n",
       "      <td>2019-02-08</td>\n",
       "      <td>30595370</td>\n",
       "      <td>Kichaev G</td>\n",
       "      <td>2018-12-27</td>\n",
       "      <td>Am J Hum Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/30595370</td>\n",
       "      <td>Leveraging Polygenic Functional Enrichment to ...</td>\n",
       "      <td>Neuroticism</td>\n",
       "      <td>approximately 372,000 European ancestry indivi...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NR [~ 8900000] (imputed)</td>\n",
       "      <td>147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18757</th>\n",
       "      <td>2019-02-08</td>\n",
       "      <td>30595370</td>\n",
       "      <td>Kichaev G</td>\n",
       "      <td>2018-12-27</td>\n",
       "      <td>Am J Hum Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/30595370</td>\n",
       "      <td>Leveraging Polygenic Functional Enrichment to ...</td>\n",
       "      <td>Smoking status</td>\n",
       "      <td>approximately 458,000 European ancestry indivi...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NR [~ 8900000] (imputed)</td>\n",
       "      <td>181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18758</th>\n",
       "      <td>2020-11-30</td>\n",
       "      <td>32916098</td>\n",
       "      <td>Verweij N</td>\n",
       "      <td>2020-09-02</td>\n",
       "      <td>Cell Syst</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/32916098</td>\n",
       "      <td>The Genetic Makeup of the Electrocardiogram.</td>\n",
       "      <td>Electrocardiogram morphology (amplitude at tem...</td>\n",
       "      <td>63,706 European and unknown ancestry individuals</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix [10000000] (imputed)</td>\n",
       "      <td>5501</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>18759 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      DATE ADDED TO CATALOG  PUBMEDID     FIRST AUTHOR        DATE  \\\n",
       "0                2008-09-12  18391950         Lettre G  2008-04-06   \n",
       "1                2008-07-01  18391951  Gudbjartsson DF  2008-04-06   \n",
       "2                2009-02-27  19136949  Carrasquillo MM  2009-01-11   \n",
       "3                2008-06-16  18385738          Hung RJ  2008-04-03   \n",
       "4                2008-06-16  18385676          Amos CI  2008-04-03   \n",
       "...                     ...       ...              ...         ...   \n",
       "18754            2019-02-08  30595370        Kichaev G  2018-12-27   \n",
       "18755            2019-02-08  30595370        Kichaev G  2018-12-27   \n",
       "18756            2019-02-08  30595370        Kichaev G  2018-12-27   \n",
       "18757            2019-02-08  30595370        Kichaev G  2018-12-27   \n",
       "18758            2020-11-30  32916098        Verweij N  2020-09-02   \n",
       "\n",
       "              JOURNAL                                  LINK  \\\n",
       "0           Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18391950   \n",
       "1           Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18391951   \n",
       "2           Nat Genet  www.ncbi.nlm.nih.gov/pubmed/19136949   \n",
       "3              Nature  www.ncbi.nlm.nih.gov/pubmed/18385738   \n",
       "4           Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18385676   \n",
       "...               ...                                   ...   \n",
       "18754  Am J Hum Genet  www.ncbi.nlm.nih.gov/pubmed/30595370   \n",
       "18755  Am J Hum Genet  www.ncbi.nlm.nih.gov/pubmed/30595370   \n",
       "18756  Am J Hum Genet  www.ncbi.nlm.nih.gov/pubmed/30595370   \n",
       "18757  Am J Hum Genet  www.ncbi.nlm.nih.gov/pubmed/30595370   \n",
       "18758       Cell Syst  www.ncbi.nlm.nih.gov/pubmed/32916098   \n",
       "\n",
       "                                                   STUDY  \\\n",
       "0      Identification of ten loci associated with hei...   \n",
       "1      Many sequence variants affecting diversity of ...   \n",
       "2      Genetic variation in PCDH11X is associated wit...   \n",
       "3      A susceptibility locus for lung cancer maps to...   \n",
       "4      Genome-wide association scan of tag SNPs ident...   \n",
       "...                                                  ...   \n",
       "18754  Leveraging Polygenic Functional Enrichment to ...   \n",
       "18755  Leveraging Polygenic Functional Enrichment to ...   \n",
       "18756  Leveraging Polygenic Functional Enrichment to ...   \n",
       "18757  Leveraging Polygenic Functional Enrichment to ...   \n",
       "18758       The Genetic Makeup of the Electrocardiogram.   \n",
       "\n",
       "                                           DISEASE/TRAIT  \\\n",
       "0                                                 Height   \n",
       "1                                                 Height   \n",
       "2                                    Alzheimer's disease   \n",
       "3                                            Lung cancer   \n",
       "4                                            Lung cancer   \n",
       "...                                                  ...   \n",
       "18754                                         Hair color   \n",
       "18755                                     Morning person   \n",
       "18756                                        Neuroticism   \n",
       "18757                                     Smoking status   \n",
       "18758  Electrocardiogram morphology (amplitude at tem...   \n",
       "\n",
       "                                     INITIAL SAMPLE SIZE  \\\n",
       "0                   15,821 European ancestry individuals   \n",
       "1                   30,968 European ancestry individuals   \n",
       "2      844 European ancestry cases, 1,255 European an...   \n",
       "3      1,926 European ance other ancestry cases, 2,52...   \n",
       "4      1,154 European ancestry cases, 1,137 European ...   \n",
       "...                                                  ...   \n",
       "18754  approximately 452,000 European ancestry indivi...   \n",
       "18755  approximately 410,000 European ancestry indivi...   \n",
       "18756  approximately 372,000 European ancestry indivi...   \n",
       "18757  approximately 458,000 European ancestry indivi...   \n",
       "18758   63,706 European and unknown ancestry individuals   \n",
       "\n",
       "                                 REPLICATION SAMPLE SIZE  \\\n",
       "0             Up to 17,801 European ancestry individuals   \n",
       "1                    8,541 European ancestry individuals   \n",
       "2      1,547 European ancestry cases, 1,209 European ...   \n",
       "3      332 European ancestry cases, 462 European ance...   \n",
       "4      2,724 European ancestry cases, 3,694 European ...   \n",
       "...                                                  ...   \n",
       "18754                                                NaN   \n",
       "18755                                                NaN   \n",
       "18756                                                NaN   \n",
       "18757                                                NaN   \n",
       "18758                                                NaN   \n",
       "\n",
       "                     PLATFORM [SNPS PASSING QC]  ASSOCIATION COUNT  \n",
       "0      Affymetrix, Illumina [2260683] (imputed)                 18  \n",
       "1           Affymetrix, Illumina [up to 304226]                 52  \n",
       "2                             Illumina [313504]                  1  \n",
       "3                             Illumina [310023]                  1  \n",
       "4                             Illumina [317498]                  3  \n",
       "...                                         ...                ...  \n",
       "18754                  NR [~ 8900000] (imputed)                449  \n",
       "18755                  NR [~ 8900000] (imputed)                168  \n",
       "18756                  NR [~ 8900000] (imputed)                147  \n",
       "18757                  NR [~ 8900000] (imputed)                181  \n",
       "18758           Affymetrix [10000000] (imputed)               5501  \n",
       "\n",
       "[18759 rows x 12 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ebi_studies = pd.read_table('https://www.ebi.ac.uk/gwas/api/search/downloads/studies')\n",
    "ebi_studies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "ebi = ebi.reset_index().merge(ebi_studies, how='left').set_index('STUDY ACCESSION')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE ADDED TO CATALOG</th>\n",
       "      <th>PUBMEDID</th>\n",
       "      <th>FIRST AUTHOR</th>\n",
       "      <th>DATE</th>\n",
       "      <th>JOURNAL</th>\n",
       "      <th>LINK</th>\n",
       "      <th>STUDY</th>\n",
       "      <th>DISEASE/TRAIT</th>\n",
       "      <th>INITIAL SAMPLE SIZE</th>\n",
       "      <th>REPLICATION SAMPLE SIZE</th>\n",
       "      <th>REGION</th>\n",
       "      <th>CHR_ID</th>\n",
       "      <th>CHR_POS</th>\n",
       "      <th>REPORTED GENE(S)</th>\n",
       "      <th>MAPPED_GENE</th>\n",
       "      <th>UPSTREAM_GENE_ID</th>\n",
       "      <th>DOWNSTREAM_GENE_ID</th>\n",
       "      <th>SNP_GENE_IDS</th>\n",
       "      <th>UPSTREAM_GENE_DISTANCE</th>\n",
       "      <th>DOWNSTREAM_GENE_DISTANCE</th>\n",
       "      <th>STRONGEST SNP-RISK ALLELE</th>\n",
       "      <th>SNPS</th>\n",
       "      <th>MERGED</th>\n",
       "      <th>SNP_ID_CURRENT</th>\n",
       "      <th>CONTEXT</th>\n",
       "      <th>INTERGENIC</th>\n",
       "      <th>RISK ALLELE FREQUENCY</th>\n",
       "      <th>P-VALUE</th>\n",
       "      <th>PVALUE_MLOG</th>\n",
       "      <th>P-VALUE (TEXT)</th>\n",
       "      <th>OR or BETA</th>\n",
       "      <th>95% CI (TEXT)</th>\n",
       "      <th>PLATFORM [SNPS PASSING QC]</th>\n",
       "      <th>CNV</th>\n",
       "      <th>MAPPED_TRAIT</th>\n",
       "      <th>MAPPED_TRAIT_URI</th>\n",
       "      <th>GENOTYPING TECHNOLOGY</th>\n",
       "      <th>ASSOCIATION COUNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STUDY ACCESSION</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GCST000189</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18464913</td>\n",
       "      <td>Melzer D</td>\n",
       "      <td>2008-05-09</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18464913</td>\n",
       "      <td>A genome-wide association study identifies pro...</td>\n",
       "      <td>Protein quantitative trait loci</td>\n",
       "      <td>1,200 European ancestry individuals</td>\n",
       "      <td>up to 4,590 European ancestry individuals</td>\n",
       "      <td>17q12</td>\n",
       "      <td>17</td>\n",
       "      <td>36463349</td>\n",
       "      <td>CCL4L2</td>\n",
       "      <td>TBC1D3J - ZNHIT3</td>\n",
       "      <td>ENSG00000282656</td>\n",
       "      <td>ENSG00000273611</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5814.0</td>\n",
       "      <td>23280.0</td>\n",
       "      <td>rs4796217-?</td>\n",
       "      <td>rs4796217</td>\n",
       "      <td>0</td>\n",
       "      <td>4796217.0</td>\n",
       "      <td>regulatory_region_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.34</td>\n",
       "      <td>4.000000e-21</td>\n",
       "      <td>20.397940</td>\n",
       "      <td>(MIPb)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [496032]</td>\n",
       "      <td>N</td>\n",
       "      <td>CCL4 measurement</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0004751</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000189</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18464913</td>\n",
       "      <td>Melzer D</td>\n",
       "      <td>2008-05-09</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18464913</td>\n",
       "      <td>A genome-wide association study identifies pro...</td>\n",
       "      <td>Protein quantitative trait loci</td>\n",
       "      <td>1,200 European ancestry individuals</td>\n",
       "      <td>up to 4,590 European ancestry individuals</td>\n",
       "      <td>6q25.3</td>\n",
       "      <td>6</td>\n",
       "      <td>160597142</td>\n",
       "      <td>LPA</td>\n",
       "      <td>LPA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ENSG00000198670</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>rs7770628-?</td>\n",
       "      <td>rs7770628</td>\n",
       "      <td>0</td>\n",
       "      <td>7770628.0</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.49</td>\n",
       "      <td>4.000000e-10</td>\n",
       "      <td>9.397940</td>\n",
       "      <td>(LPA)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [496032]</td>\n",
       "      <td>N</td>\n",
       "      <td>Apolipoprotein A 1 measurement</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0004614</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000189</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18464913</td>\n",
       "      <td>Melzer D</td>\n",
       "      <td>2008-05-09</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18464913</td>\n",
       "      <td>A genome-wide association study identifies pro...</td>\n",
       "      <td>Protein quantitative trait loci</td>\n",
       "      <td>1,200 European ancestry individuals</td>\n",
       "      <td>up to 4,590 European ancestry individuals</td>\n",
       "      <td>9q34.2</td>\n",
       "      <td>9</td>\n",
       "      <td>133273813</td>\n",
       "      <td>ABO</td>\n",
       "      <td>ABO, ABO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ENSG00000175164, ENSG00000281879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>rs505922-?</td>\n",
       "      <td>rs505922</td>\n",
       "      <td>0</td>\n",
       "      <td>505922.0</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.34</td>\n",
       "      <td>7.000000e-40</td>\n",
       "      <td>39.154902</td>\n",
       "      <td>(TNFA)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [496032]</td>\n",
       "      <td>N</td>\n",
       "      <td>Tumor necrosis factor-alpha measurement</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0004684</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                DATE ADDED TO CATALOG  PUBMEDID FIRST AUTHOR        DATE  \\\n",
       "STUDY ACCESSION                                                            \n",
       "GCST000189                 2008-06-22  18464913     Melzer D  2008-05-09   \n",
       "GCST000189                 2008-06-22  18464913     Melzer D  2008-05-09   \n",
       "GCST000189                 2008-06-22  18464913     Melzer D  2008-05-09   \n",
       "\n",
       "                    JOURNAL                                  LINK  \\\n",
       "STUDY ACCESSION                                                     \n",
       "GCST000189       PLoS Genet  www.ncbi.nlm.nih.gov/pubmed/18464913   \n",
       "GCST000189       PLoS Genet  www.ncbi.nlm.nih.gov/pubmed/18464913   \n",
       "GCST000189       PLoS Genet  www.ncbi.nlm.nih.gov/pubmed/18464913   \n",
       "\n",
       "                                                             STUDY  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000189       A genome-wide association study identifies pro...   \n",
       "GCST000189       A genome-wide association study identifies pro...   \n",
       "GCST000189       A genome-wide association study identifies pro...   \n",
       "\n",
       "                                   DISEASE/TRAIT  \\\n",
       "STUDY ACCESSION                                    \n",
       "GCST000189       Protein quantitative trait loci   \n",
       "GCST000189       Protein quantitative trait loci   \n",
       "GCST000189       Protein quantitative trait loci   \n",
       "\n",
       "                                 INITIAL SAMPLE SIZE  \\\n",
       "STUDY ACCESSION                                        \n",
       "GCST000189       1,200 European ancestry individuals   \n",
       "GCST000189       1,200 European ancestry individuals   \n",
       "GCST000189       1,200 European ancestry individuals   \n",
       "\n",
       "                                   REPLICATION SAMPLE SIZE  REGION CHR_ID  \\\n",
       "STUDY ACCESSION                                                             \n",
       "GCST000189       up to 4,590 European ancestry individuals   17q12     17   \n",
       "GCST000189       up to 4,590 European ancestry individuals  6q25.3      6   \n",
       "GCST000189       up to 4,590 European ancestry individuals  9q34.2      9   \n",
       "\n",
       "                   CHR_POS REPORTED GENE(S)       MAPPED_GENE  \\\n",
       "STUDY ACCESSION                                                 \n",
       "GCST000189        36463349           CCL4L2  TBC1D3J - ZNHIT3   \n",
       "GCST000189       160597142              LPA               LPA   \n",
       "GCST000189       133273813              ABO          ABO, ABO   \n",
       "\n",
       "                UPSTREAM_GENE_ID DOWNSTREAM_GENE_ID  \\\n",
       "STUDY ACCESSION                                       \n",
       "GCST000189       ENSG00000282656    ENSG00000273611   \n",
       "GCST000189                   NaN                NaN   \n",
       "GCST000189                   NaN                NaN   \n",
       "\n",
       "                                     SNP_GENE_IDS  UPSTREAM_GENE_DISTANCE  \\\n",
       "STUDY ACCESSION                                                             \n",
       "GCST000189                                    NaN                  5814.0   \n",
       "GCST000189                        ENSG00000198670                     NaN   \n",
       "GCST000189       ENSG00000175164, ENSG00000281879                     NaN   \n",
       "\n",
       "                 DOWNSTREAM_GENE_DISTANCE STRONGEST SNP-RISK ALLELE  \\\n",
       "STUDY ACCESSION                                                       \n",
       "GCST000189                        23280.0               rs4796217-?   \n",
       "GCST000189                            NaN               rs7770628-?   \n",
       "GCST000189                            NaN                rs505922-?   \n",
       "\n",
       "                      SNPS  MERGED SNP_ID_CURRENT                    CONTEXT  \\\n",
       "STUDY ACCESSION                                                                \n",
       "GCST000189       rs4796217       0      4796217.0  regulatory_region_variant   \n",
       "GCST000189       rs7770628       0      7770628.0             intron_variant   \n",
       "GCST000189        rs505922       0       505922.0             intron_variant   \n",
       "\n",
       "                 INTERGENIC RISK ALLELE FREQUENCY       P-VALUE  PVALUE_MLOG  \\\n",
       "STUDY ACCESSION                                                                \n",
       "GCST000189              1.0                  0.34  4.000000e-21    20.397940   \n",
       "GCST000189              0.0                  0.49  4.000000e-10     9.397940   \n",
       "GCST000189              0.0                  0.34  7.000000e-40    39.154902   \n",
       "\n",
       "                P-VALUE (TEXT)  OR or BETA 95% CI (TEXT)  \\\n",
       "STUDY ACCESSION                                            \n",
       "GCST000189              (MIPb)         NaN           NaN   \n",
       "GCST000189               (LPA)         NaN           NaN   \n",
       "GCST000189              (TNFA)         NaN           NaN   \n",
       "\n",
       "                PLATFORM [SNPS PASSING QC] CNV  \\\n",
       "STUDY ACCESSION                                  \n",
       "GCST000189               Illumina [496032]   N   \n",
       "GCST000189               Illumina [496032]   N   \n",
       "GCST000189               Illumina [496032]   N   \n",
       "\n",
       "                                            MAPPED_TRAIT  \\\n",
       "STUDY ACCESSION                                            \n",
       "GCST000189                              CCL4 measurement   \n",
       "GCST000189                Apolipoprotein A 1 measurement   \n",
       "GCST000189       Tumor necrosis factor-alpha measurement   \n",
       "\n",
       "                                     MAPPED_TRAIT_URI  \\\n",
       "STUDY ACCESSION                                         \n",
       "GCST000189       http://www.ebi.ac.uk/efo/EFO_0004751   \n",
       "GCST000189       http://www.ebi.ac.uk/efo/EFO_0004614   \n",
       "GCST000189       http://www.ebi.ac.uk/efo/EFO_0004684   \n",
       "\n",
       "                        GENOTYPING TECHNOLOGY  ASSOCIATION COUNT  \n",
       "STUDY ACCESSION                                                   \n",
       "GCST000189       Genome-wide genotyping array                 49  \n",
       "GCST000189       Genome-wide genotyping array                 49  \n",
       "GCST000189       Genome-wide genotyping array                 49  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ebi.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "873"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ebi.index.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['DATE ADDED TO CATALOG', 'PUBMEDID', 'FIRST AUTHOR', 'DATE', 'JOURNAL',\n",
       "       'LINK', 'STUDY', 'DISEASE/TRAIT', 'INITIAL SAMPLE SIZE',\n",
       "       'REPLICATION SAMPLE SIZE', 'REGION', 'CHR_ID', 'CHR_POS',\n",
       "       'REPORTED GENE(S)', 'MAPPED_GENE', 'UPSTREAM_GENE_ID',\n",
       "       'DOWNSTREAM_GENE_ID', 'SNP_GENE_IDS', 'UPSTREAM_GENE_DISTANCE',\n",
       "       'DOWNSTREAM_GENE_DISTANCE', 'STRONGEST SNP-RISK ALLELE', 'SNPS',\n",
       "       'MERGED', 'SNP_ID_CURRENT', 'CONTEXT', 'INTERGENIC',\n",
       "       'RISK ALLELE FREQUENCY', 'P-VALUE', 'PVALUE_MLOG', 'P-VALUE (TEXT)',\n",
       "       'OR or BETA', '95% CI (TEXT)', 'PLATFORM [SNPS PASSING QC]', 'CNV',\n",
       "       'MAPPED_TRAIT', 'MAPPED_TRAIT_URI', 'GENOTYPING TECHNOLOGY',\n",
       "       'ASSOCIATION COUNT'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ebi.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Convert rsids in GWAS catalog to OTG variant IDs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "rs = ebi['STRONGEST SNP-RISK ALLELE'].unique()\n",
    "rs = [x.split('-')[0].strip() for x in rs if x.strip().startswith('rs')]\n",
    "rs = [x for x in rs if 'x' not in x]\n",
    "rs = sorted(list(set(rs)))\n",
    "rs = [x for x in rs if x.isalnum()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15722"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(rs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "rs_chunk = np.array_split(rs, len(rs)//100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d948d5cda95e4e628d0a29276fcb8086",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/157 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import time\n",
    "\n",
    "dfs = []\n",
    "for r in tqdm(rs_chunk):\n",
    "    dfs.append(api.search_rsid(r))\n",
    "    time.sleep(0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "otg_df = pd.concat(dfs, axis=0).reset_index(drop=True)\n",
    "otg_df = otg_df[~otg_df['id'].isnull()]\n",
    "otg_df['CHR_ID'] = [x.split('_')[0] for x in otg_df['id']]\n",
    "otg_df['CHR_POS'] = [x.split('_')[1] for x in otg_df['id']]\n",
    "otg_df = otg_df.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>rsid</th>\n",
       "      <th>CHR_ID</th>\n",
       "      <th>CHR_POS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4_68885967_A_G</td>\n",
       "      <td>rs10001501</td>\n",
       "      <td>4</td>\n",
       "      <td>68885967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20_21252560_T_C</td>\n",
       "      <td>rs1000177</td>\n",
       "      <td>20</td>\n",
       "      <td>21252560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4_164159753_A_G</td>\n",
       "      <td>rs10002082</td>\n",
       "      <td>4</td>\n",
       "      <td>164159753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2_186921772_G_T</td>\n",
       "      <td>rs1000624</td>\n",
       "      <td>2</td>\n",
       "      <td>186921772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6_85423118_A_G</td>\n",
       "      <td>rs1000632</td>\n",
       "      <td>6</td>\n",
       "      <td>85423118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16436</th>\n",
       "      <td>4_76519861_A_G</td>\n",
       "      <td>rs9996493</td>\n",
       "      <td>4</td>\n",
       "      <td>76519861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16437</th>\n",
       "      <td>4_75927078_C_T</td>\n",
       "      <td>rs9996608</td>\n",
       "      <td>4</td>\n",
       "      <td>75927078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16438</th>\n",
       "      <td>4_8172158_T_A</td>\n",
       "      <td>rs9996856</td>\n",
       "      <td>4</td>\n",
       "      <td>8172158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16439</th>\n",
       "      <td>4_6281526_T_C</td>\n",
       "      <td>rs9997824</td>\n",
       "      <td>4</td>\n",
       "      <td>6281526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16440</th>\n",
       "      <td>4_79297258_T_C</td>\n",
       "      <td>rs9998799</td>\n",
       "      <td>4</td>\n",
       "      <td>79297258</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15817 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    id        rsid CHR_ID    CHR_POS\n",
       "0       4_68885967_A_G  rs10001501      4   68885967\n",
       "1      20_21252560_T_C   rs1000177     20   21252560\n",
       "2      4_164159753_A_G  rs10002082      4  164159753\n",
       "3      2_186921772_G_T   rs1000624      2  186921772\n",
       "4       6_85423118_A_G   rs1000632      6   85423118\n",
       "...                ...         ...    ...        ...\n",
       "16436   4_76519861_A_G   rs9996493      4   76519861\n",
       "16437   4_75927078_C_T   rs9996608      4   75927078\n",
       "16438    4_8172158_T_A   rs9996856      4    8172158\n",
       "16439    4_6281526_T_C   rs9997824      4    6281526\n",
       "16440   4_79297258_T_C   rs9998799      4   79297258\n",
       "\n",
       "[15817 rows x 4 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "otg_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Find V2G scores for mapped variants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "variants = otg_df['id'].unique()\n",
    "variants_chunk = np.array_split(variants, len(variants)//8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5fac577478a040739fdec6e245e6eabb",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1977 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "variant_dfs = []\n",
    "\n",
    "for r in tqdm(variants_chunk):\n",
    "    variant_dfs.append(api.genes_for_variant(r))\n",
    "    time.sleep(0.03)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "variant_df = pd.concat(variant_dfs, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "variant_df.reset_index(drop=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>variant</th>\n",
       "      <th>overallScore</th>\n",
       "      <th>qtls</th>\n",
       "      <th>intervals</th>\n",
       "      <th>functionalPredictions</th>\n",
       "      <th>distances</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>gene_symbol</th>\n",
       "      <th>gene_bioType</th>\n",
       "      <th>gene_description</th>\n",
       "      <th>gene_chromosome</th>\n",
       "      <th>gene_tss</th>\n",
       "      <th>gene_start</th>\n",
       "      <th>gene_end</th>\n",
       "      <th>gene_fwdStrand</th>\n",
       "      <th>gene_exons</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4_68885967_A_G</td>\n",
       "      <td>0.090659</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000272626</td>\n",
       "      <td>AC021146.12</td>\n",
       "      <td>lincRNA</td>\n",
       "      <td>novel transcript</td>\n",
       "      <td>4</td>\n",
       "      <td>68906983</td>\n",
       "      <td>68901008</td>\n",
       "      <td>68906983</td>\n",
       "      <td>False</td>\n",
       "      <td>[68901008, 68901375, 68906875, 68906983]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4_68885967_A_G</td>\n",
       "      <td>0.081593</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000109181</td>\n",
       "      <td>UGT2B10</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>UDP glucuronosyltransferase family 2 member B1...</td>\n",
       "      <td>4</td>\n",
       "      <td>68815994</td>\n",
       "      <td>68815994</td>\n",
       "      <td>68832023</td>\n",
       "      <td>True</td>\n",
       "      <td>[68830600, 68832023, 68818029, 68818177, 68815...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4_68885967_A_G</td>\n",
       "      <td>0.063462</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000171234</td>\n",
       "      <td>UGT2B7</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>UDP glucuronosyltransferase family 2 member B7...</td>\n",
       "      <td>4</td>\n",
       "      <td>69051363</td>\n",
       "      <td>69051363</td>\n",
       "      <td>69112987</td>\n",
       "      <td>True</td>\n",
       "      <td>[69112457, 69112987, 69108103, 69108322, 69107...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4_68885967_A_G</td>\n",
       "      <td>0.045330</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000250696</td>\n",
       "      <td>AC111000.4</td>\n",
       "      <td>antisense</td>\n",
       "      <td>novel transcript, antisense to UGT2B11</td>\n",
       "      <td>4</td>\n",
       "      <td>69182100</td>\n",
       "      <td>69182100</td>\n",
       "      <td>69216766</td>\n",
       "      <td>True</td>\n",
       "      <td>[69214473, 69216766, 69211066, 69211147, 69201...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4_68885967_A_G</td>\n",
       "      <td>0.081593</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000135220</td>\n",
       "      <td>UGT2A3</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>UDP glucuronosyltransferase family 2 member A3...</td>\n",
       "      <td>4</td>\n",
       "      <td>68951804</td>\n",
       "      <td>68928463</td>\n",
       "      <td>68951804</td>\n",
       "      <td>False</td>\n",
       "      <td>[68928463, 68930092, 68930546, 68930765, 68931...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          variant  overallScore qtls intervals functionalPredictions  \\\n",
       "0  4_68885967_A_G      0.090659   []        []                    []   \n",
       "1  4_68885967_A_G      0.081593   []        []                    []   \n",
       "2  4_68885967_A_G      0.063462   []        []                    []   \n",
       "3  4_68885967_A_G      0.045330   []        []                    []   \n",
       "4  4_68885967_A_G      0.081593   []        []                    []   \n",
       "\n",
       "                                           distances          gene_id  \\\n",
       "0  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000272626   \n",
       "1  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000109181   \n",
       "2  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000171234   \n",
       "3  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000250696   \n",
       "4  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000135220   \n",
       "\n",
       "   gene_symbol    gene_bioType  \\\n",
       "0  AC021146.12         lincRNA   \n",
       "1      UGT2B10  protein_coding   \n",
       "2       UGT2B7  protein_coding   \n",
       "3   AC111000.4       antisense   \n",
       "4       UGT2A3  protein_coding   \n",
       "\n",
       "                                    gene_description gene_chromosome  \\\n",
       "0                                   novel transcript               4   \n",
       "1  UDP glucuronosyltransferase family 2 member B1...               4   \n",
       "2  UDP glucuronosyltransferase family 2 member B7...               4   \n",
       "3             novel transcript, antisense to UGT2B11               4   \n",
       "4  UDP glucuronosyltransferase family 2 member A3...               4   \n",
       "\n",
       "   gene_tss  gene_start  gene_end  gene_fwdStrand  \\\n",
       "0  68906983    68901008  68906983           False   \n",
       "1  68815994    68815994  68832023            True   \n",
       "2  69051363    69051363  69112987            True   \n",
       "3  69182100    69182100  69216766            True   \n",
       "4  68951804    68928463  68951804           False   \n",
       "\n",
       "                                          gene_exons  \n",
       "0           [68901008, 68901375, 68906875, 68906983]  \n",
       "1  [68830600, 68832023, 68818029, 68818177, 68815...  \n",
       "2  [69112457, 69112987, 69108103, 69108322, 69107...  \n",
       "3  [69214473, 69216766, 69211066, 69211147, 69201...  \n",
       "4  [68928463, 68930092, 68930546, 68930765, 68931...  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "variant_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 249,
       "width": 388
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "variant_df[variant_df.gene_bioType == 'protein_coding'].overallScore.hist(bins=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 248,
       "width": 388
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "variant_df.overallScore.hist(bins=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         0.090659\n",
       "1         0.081593\n",
       "2         0.063462\n",
       "3         0.045330\n",
       "4         0.081593\n",
       "            ...   \n",
       "328448    0.045330\n",
       "328449    0.063462\n",
       "328450    0.099725\n",
       "328451    0.027198\n",
       "328452    0.172527\n",
       "Name: overallScore, Length: 328453, dtype: float64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "variant_df.overallScore"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.07258855027114584"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "variant_df[variant_df.gene_bioType == 'protein_coding'].overallScore.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/gokcen/.miniconda3/lib/python3.8/site-packages/scipy/stats/_continuous_distns.py:621: RuntimeWarning: invalid value encountered in sqrt\n",
      "  sk = 2*(b-a)*np.sqrt(a + b + 1) / (a + b + 2) / np.sqrt(a*b)\n",
      "/home/gokcen/.miniconda3/lib/python3.8/site-packages/scipy/optimize/minpack.py:175: RuntimeWarning: The iteration is not making good progress, as measured by the \n",
      "  improvement from the last ten iterations.\n",
      "  warnings.warn(msg, RuntimeWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(2.132728249844492,\n",
       " 436829336458.10986,\n",
       " -0.0019840932247950473,\n",
       " 14144717874.142258)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy.stats import beta\n",
    "\n",
    "a, b, loc, scale = beta.fit(variant_df[variant_df.gene_bioType == 'protein_coding'].overallScore.values, loc=0.1)\n",
    "a,b,loc,scale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7ff2f77b4bb0>]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 248,
       "width": 386
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "x = np.linspace(1e-3, 1, 1000)\n",
    "plt.plot(x, beta.pdf(x, a, b))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6.544209618652985e-12"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "beta.ppf(0.75, a, b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9999999999999999"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "beta.cdf(0.2, a, b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>variant</th>\n",
       "      <th>overallScore</th>\n",
       "      <th>qtls</th>\n",
       "      <th>intervals</th>\n",
       "      <th>functionalPredictions</th>\n",
       "      <th>distances</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>gene_symbol</th>\n",
       "      <th>gene_bioType</th>\n",
       "      <th>gene_description</th>\n",
       "      <th>gene_chromosome</th>\n",
       "      <th>gene_tss</th>\n",
       "      <th>gene_start</th>\n",
       "      <th>gene_end</th>\n",
       "      <th>gene_fwdStrand</th>\n",
       "      <th>gene_exons</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4_68885967_A_G</td>\n",
       "      <td>0.090659</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000272626</td>\n",
       "      <td>AC021146.12</td>\n",
       "      <td>lincRNA</td>\n",
       "      <td>novel transcript</td>\n",
       "      <td>4</td>\n",
       "      <td>68906983</td>\n",
       "      <td>68901008</td>\n",
       "      <td>68906983</td>\n",
       "      <td>False</td>\n",
       "      <td>[68901008, 68901375, 68906875, 68906983]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4_68885967_A_G</td>\n",
       "      <td>0.081593</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000109181</td>\n",
       "      <td>UGT2B10</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>UDP glucuronosyltransferase family 2 member B1...</td>\n",
       "      <td>4</td>\n",
       "      <td>68815994</td>\n",
       "      <td>68815994</td>\n",
       "      <td>68832023</td>\n",
       "      <td>True</td>\n",
       "      <td>[68830600, 68832023, 68818029, 68818177, 68815...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4_68885967_A_G</td>\n",
       "      <td>0.063462</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000171234</td>\n",
       "      <td>UGT2B7</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>UDP glucuronosyltransferase family 2 member B7...</td>\n",
       "      <td>4</td>\n",
       "      <td>69051363</td>\n",
       "      <td>69051363</td>\n",
       "      <td>69112987</td>\n",
       "      <td>True</td>\n",
       "      <td>[69112457, 69112987, 69108103, 69108322, 69107...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4_68885967_A_G</td>\n",
       "      <td>0.045330</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000250696</td>\n",
       "      <td>AC111000.4</td>\n",
       "      <td>antisense</td>\n",
       "      <td>novel transcript, antisense to UGT2B11</td>\n",
       "      <td>4</td>\n",
       "      <td>69182100</td>\n",
       "      <td>69182100</td>\n",
       "      <td>69216766</td>\n",
       "      <td>True</td>\n",
       "      <td>[69214473, 69216766, 69211066, 69211147, 69201...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4_68885967_A_G</td>\n",
       "      <td>0.081593</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000135220</td>\n",
       "      <td>UGT2A3</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>UDP glucuronosyltransferase family 2 member A3...</td>\n",
       "      <td>4</td>\n",
       "      <td>68951804</td>\n",
       "      <td>68928463</td>\n",
       "      <td>68951804</td>\n",
       "      <td>False</td>\n",
       "      <td>[68928463, 68930092, 68930546, 68930765, 68931...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328448</th>\n",
       "      <td>4_79297258_T_C</td>\n",
       "      <td>0.045330</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000251399</td>\n",
       "      <td>AC092542.1</td>\n",
       "      <td>lincRNA</td>\n",
       "      <td>novel transcript</td>\n",
       "      <td>4</td>\n",
       "      <td>79596542</td>\n",
       "      <td>79596542</td>\n",
       "      <td>79597173</td>\n",
       "      <td>True</td>\n",
       "      <td>[79596877, 79597173, 79596542, 79596599]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328449</th>\n",
       "      <td>4_79297258_T_C</td>\n",
       "      <td>0.063462</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000250334</td>\n",
       "      <td>LINC00989</td>\n",
       "      <td>lincRNA</td>\n",
       "      <td>long intergenic non-protein coding RNA 989 [So...</td>\n",
       "      <td>4</td>\n",
       "      <td>79492416</td>\n",
       "      <td>79492416</td>\n",
       "      <td>79576460</td>\n",
       "      <td>True</td>\n",
       "      <td>[79575141, 79576460, 79513785, 79513902, 79493...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328450</th>\n",
       "      <td>4_79297258_T_C</td>\n",
       "      <td>0.099725</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000163291</td>\n",
       "      <td>PAQR3</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>progestin and adipoQ receptor family member 3 ...</td>\n",
       "      <td>4</td>\n",
       "      <td>78939438</td>\n",
       "      <td>78887127</td>\n",
       "      <td>78939438</td>\n",
       "      <td>False</td>\n",
       "      <td>[78911878, 78920681, 78923857, 78923947, 78926...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328451</th>\n",
       "      <td>4_79297258_T_C</td>\n",
       "      <td>0.027198</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000248408</td>\n",
       "      <td>LINC02469</td>\n",
       "      <td>lincRNA</td>\n",
       "      <td>long intergenic non-protein coding RNA 2469 [S...</td>\n",
       "      <td>4</td>\n",
       "      <td>79663761</td>\n",
       "      <td>79663761</td>\n",
       "      <td>79696837</td>\n",
       "      <td>True</td>\n",
       "      <td>[79696413, 79696837, 79689988, 79690076, 79667...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328452</th>\n",
       "      <td>4_79297258_T_C</td>\n",
       "      <td>0.172527</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000156269</td>\n",
       "      <td>NAA11</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>N(alpha)-acetyltransferase 11, NatA catalytic ...</td>\n",
       "      <td>4</td>\n",
       "      <td>79326050</td>\n",
       "      <td>79225694</td>\n",
       "      <td>79326050</td>\n",
       "      <td>False</td>\n",
       "      <td>[79316653, 79317791, 79325176, 79326050]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>328453 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               variant  overallScore  \\\n",
       "0       4_68885967_A_G      0.090659   \n",
       "1       4_68885967_A_G      0.081593   \n",
       "2       4_68885967_A_G      0.063462   \n",
       "3       4_68885967_A_G      0.045330   \n",
       "4       4_68885967_A_G      0.081593   \n",
       "...                ...           ...   \n",
       "328448  4_79297258_T_C      0.045330   \n",
       "328449  4_79297258_T_C      0.063462   \n",
       "328450  4_79297258_T_C      0.099725   \n",
       "328451  4_79297258_T_C      0.027198   \n",
       "328452  4_79297258_T_C      0.172527   \n",
       "\n",
       "                                                     qtls intervals  \\\n",
       "0                                                      []        []   \n",
       "1                                                      []        []   \n",
       "2                                                      []        []   \n",
       "3                                                      []        []   \n",
       "4                                                      []        []   \n",
       "...                                                   ...       ...   \n",
       "328448                                                 []        []   \n",
       "328449                                                 []        []   \n",
       "328450  [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...        []   \n",
       "328451                                                 []        []   \n",
       "328452  [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...        []   \n",
       "\n",
       "                                    functionalPredictions  \\\n",
       "0                                                      []   \n",
       "1                                                      []   \n",
       "2                                                      []   \n",
       "3                                                      []   \n",
       "4                                                      []   \n",
       "...                                                   ...   \n",
       "328448                                                 []   \n",
       "328449                                                 []   \n",
       "328450                                                 []   \n",
       "328451                                                 []   \n",
       "328452  [{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...   \n",
       "\n",
       "                                                distances          gene_id  \\\n",
       "0       [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000272626   \n",
       "1       [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000109181   \n",
       "2       [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000171234   \n",
       "3       [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000250696   \n",
       "4       [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000135220   \n",
       "...                                                   ...              ...   \n",
       "328448  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000251399   \n",
       "328449  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000250334   \n",
       "328450  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000163291   \n",
       "328451  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000248408   \n",
       "328452  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000156269   \n",
       "\n",
       "        gene_symbol    gene_bioType  \\\n",
       "0       AC021146.12         lincRNA   \n",
       "1           UGT2B10  protein_coding   \n",
       "2            UGT2B7  protein_coding   \n",
       "3        AC111000.4       antisense   \n",
       "4            UGT2A3  protein_coding   \n",
       "...             ...             ...   \n",
       "328448   AC092542.1         lincRNA   \n",
       "328449    LINC00989         lincRNA   \n",
       "328450        PAQR3  protein_coding   \n",
       "328451    LINC02469         lincRNA   \n",
       "328452        NAA11  protein_coding   \n",
       "\n",
       "                                         gene_description gene_chromosome  \\\n",
       "0                                        novel transcript               4   \n",
       "1       UDP glucuronosyltransferase family 2 member B1...               4   \n",
       "2       UDP glucuronosyltransferase family 2 member B7...               4   \n",
       "3                  novel transcript, antisense to UGT2B11               4   \n",
       "4       UDP glucuronosyltransferase family 2 member A3...               4   \n",
       "...                                                   ...             ...   \n",
       "328448                                   novel transcript               4   \n",
       "328449  long intergenic non-protein coding RNA 989 [So...               4   \n",
       "328450  progestin and adipoQ receptor family member 3 ...               4   \n",
       "328451  long intergenic non-protein coding RNA 2469 [S...               4   \n",
       "328452  N(alpha)-acetyltransferase 11, NatA catalytic ...               4   \n",
       "\n",
       "        gene_tss  gene_start  gene_end  gene_fwdStrand  \\\n",
       "0       68906983    68901008  68906983           False   \n",
       "1       68815994    68815994  68832023            True   \n",
       "2       69051363    69051363  69112987            True   \n",
       "3       69182100    69182100  69216766            True   \n",
       "4       68951804    68928463  68951804           False   \n",
       "...          ...         ...       ...             ...   \n",
       "328448  79596542    79596542  79597173            True   \n",
       "328449  79492416    79492416  79576460            True   \n",
       "328450  78939438    78887127  78939438           False   \n",
       "328451  79663761    79663761  79696837            True   \n",
       "328452  79326050    79225694  79326050           False   \n",
       "\n",
       "                                               gene_exons  \n",
       "0                [68901008, 68901375, 68906875, 68906983]  \n",
       "1       [68830600, 68832023, 68818029, 68818177, 68815...  \n",
       "2       [69112457, 69112987, 69108103, 69108322, 69107...  \n",
       "3       [69214473, 69216766, 69211066, 69211147, 69201...  \n",
       "4       [68928463, 68930092, 68930546, 68930765, 68931...  \n",
       "...                                                   ...  \n",
       "328448           [79596877, 79597173, 79596542, 79596599]  \n",
       "328449  [79575141, 79576460, 79513785, 79513902, 79493...  \n",
       "328450  [78911878, 78920681, 78923857, 78923947, 78926...  \n",
       "328451  [79696413, 79696837, 79689988, 79690076, 79667...  \n",
       "328452           [79316653, 79317791, 79325176, 79326050]  \n",
       "\n",
       "[328453 rows x 16 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "variant_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "variant                                                19_51225847_CCCGG_C\n",
       "overallScore                                                       0.70989\n",
       "qtls                     [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...\n",
       "intervals                                                               []\n",
       "functionalPredictions    [{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...\n",
       "distances                [{'typeId': 'distance', 'sourceId': 'canonical...\n",
       "gene_id                                                    ENSG00000105383\n",
       "gene_symbol                                                           CD33\n",
       "gene_bioType                                                protein_coding\n",
       "gene_description          CD33 molecule [Source:HGNC Symbol;Acc:HGNC:1659]\n",
       "gene_chromosome                                                         19\n",
       "gene_tss                                                          51225064\n",
       "gene_start                                                        51225064\n",
       "gene_end                                                          51243860\n",
       "gene_fwdStrand                                                        True\n",
       "gene_exons               [51239518, 51240016, 51235595, 51235676, 51235...\n",
       "Name: 118959, dtype: object"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "variant_df.loc[variant_df.overallScore.idxmax()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>variant</th>\n",
       "      <th>overallScore</th>\n",
       "      <th>gene_symbol</th>\n",
       "      <th>gene_bioType</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4_68885967_A_G</td>\n",
       "      <td>0.081593</td>\n",
       "      <td>UGT2B10</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4_68885967_A_G</td>\n",
       "      <td>0.063462</td>\n",
       "      <td>UGT2B7</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4_68885967_A_G</td>\n",
       "      <td>0.081593</td>\n",
       "      <td>UGT2A3</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4_68885967_A_G</td>\n",
       "      <td>0.036264</td>\n",
       "      <td>UGT2B11</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4_68885967_A_G</td>\n",
       "      <td>0.054396</td>\n",
       "      <td>UGT2B15</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4_68885967_A_G</td>\n",
       "      <td>0.018132</td>\n",
       "      <td>TMPRSS11E</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4_68885967_A_G</td>\n",
       "      <td>0.027198</td>\n",
       "      <td>UGT2B28</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4_68885967_A_G</td>\n",
       "      <td>0.036264</td>\n",
       "      <td>UGT2B17</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>20_21252560_T_C</td>\n",
       "      <td>0.009066</td>\n",
       "      <td>PAX1</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>20_21252560_T_C</td>\n",
       "      <td>0.262912</td>\n",
       "      <td>XRN2</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>20_21252560_T_C</td>\n",
       "      <td>0.235714</td>\n",
       "      <td>KIZ</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>20_21252560_T_C</td>\n",
       "      <td>0.045330</td>\n",
       "      <td>NKX2-2</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>20_21252560_T_C</td>\n",
       "      <td>0.072527</td>\n",
       "      <td>NKX2-4</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>4_164159753_A_G</td>\n",
       "      <td>0.081868</td>\n",
       "      <td>MARCH1</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2_186921772_G_T</td>\n",
       "      <td>0.090659</td>\n",
       "      <td>ITGAV</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2_186921772_G_T</td>\n",
       "      <td>0.018132</td>\n",
       "      <td>CALCRL</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2_186921772_G_T</td>\n",
       "      <td>0.054396</td>\n",
       "      <td>FAM171B</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2_186921772_G_T</td>\n",
       "      <td>0.018132</td>\n",
       "      <td>ZC3H15</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2_186921772_G_T</td>\n",
       "      <td>0.081593</td>\n",
       "      <td>ZSWIM2</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>6_85423118_A_G</td>\n",
       "      <td>0.054396</td>\n",
       "      <td>SYNCRIP</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            variant  overallScore gene_symbol    gene_bioType\n",
       "1    4_68885967_A_G      0.081593     UGT2B10  protein_coding\n",
       "2    4_68885967_A_G      0.063462      UGT2B7  protein_coding\n",
       "4    4_68885967_A_G      0.081593      UGT2A3  protein_coding\n",
       "5    4_68885967_A_G      0.036264     UGT2B11  protein_coding\n",
       "6    4_68885967_A_G      0.054396     UGT2B15  protein_coding\n",
       "7    4_68885967_A_G      0.018132   TMPRSS11E  protein_coding\n",
       "8    4_68885967_A_G      0.027198     UGT2B28  protein_coding\n",
       "9    4_68885967_A_G      0.036264     UGT2B17  protein_coding\n",
       "11  20_21252560_T_C      0.009066        PAX1  protein_coding\n",
       "13  20_21252560_T_C      0.262912        XRN2  protein_coding\n",
       "15  20_21252560_T_C      0.235714         KIZ  protein_coding\n",
       "16  20_21252560_T_C      0.045330      NKX2-2  protein_coding\n",
       "17  20_21252560_T_C      0.072527      NKX2-4  protein_coding\n",
       "27  4_164159753_A_G      0.081868      MARCH1  protein_coding\n",
       "28  2_186921772_G_T      0.090659       ITGAV  protein_coding\n",
       "29  2_186921772_G_T      0.018132      CALCRL  protein_coding\n",
       "30  2_186921772_G_T      0.054396     FAM171B  protein_coding\n",
       "32  2_186921772_G_T      0.018132      ZC3H15  protein_coding\n",
       "33  2_186921772_G_T      0.081593      ZSWIM2  protein_coding\n",
       "35   6_85423118_A_G      0.054396     SYNCRIP  protein_coding"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "variant_df[variant_df.gene_bioType=='protein_coding'][['variant', 'overallScore', 'gene_symbol', 'gene_bioType']].head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pick protein coding genes with top overallScore V2G score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>variant</th>\n",
       "      <th>overallScore</th>\n",
       "      <th>qtls</th>\n",
       "      <th>intervals</th>\n",
       "      <th>functionalPredictions</th>\n",
       "      <th>distances</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>gene_symbol</th>\n",
       "      <th>gene_bioType</th>\n",
       "      <th>gene_description</th>\n",
       "      <th>gene_chromosome</th>\n",
       "      <th>gene_tss</th>\n",
       "      <th>gene_start</th>\n",
       "      <th>gene_end</th>\n",
       "      <th>gene_fwdStrand</th>\n",
       "      <th>gene_exons</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10_100006605_T_C</td>\n",
       "      <td>0.208516</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>CWF19 like cell cycle control factor 1 [Source...</td>\n",
       "      <td>10</td>\n",
       "      <td>100267680</td>\n",
       "      <td>100232298</td>\n",
       "      <td>100267680</td>\n",
       "      <td>False</td>\n",
       "      <td>[100232298, 100233371, 100235667, 100235764, 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10_100006605_T_C</td>\n",
       "      <td>0.118132</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000107554</td>\n",
       "      <td>DNMBP</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>dynamin binding protein [Source:HGNC Symbol;Ac...</td>\n",
       "      <td>10</td>\n",
       "      <td>100009947</td>\n",
       "      <td>99875577</td>\n",
       "      <td>100009947</td>\n",
       "      <td>False</td>\n",
       "      <td>[99955214, 99957205, 99969115, 99969237, 99971...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10_100006605_T_C</td>\n",
       "      <td>0.081593</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000196072</td>\n",
       "      <td>BLOC1S2</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>biogenesis of lysosomal organelles complex 1 s...</td>\n",
       "      <td>10</td>\n",
       "      <td>100286680</td>\n",
       "      <td>100273280</td>\n",
       "      <td>100286680</td>\n",
       "      <td>False</td>\n",
       "      <td>[100273293, 100275493, 100280124, 100280228, 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10_100006605_T_C</td>\n",
       "      <td>0.081593</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000120054</td>\n",
       "      <td>CPN1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>carboxypeptidase N subunit 1 [Source:HGNC Symb...</td>\n",
       "      <td>10</td>\n",
       "      <td>100081877</td>\n",
       "      <td>100042193</td>\n",
       "      <td>100081877</td>\n",
       "      <td>False</td>\n",
       "      <td>[100063614, 100063725, 100065188, 100065370, 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10_100006605_T_C</td>\n",
       "      <td>0.072527</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000023839</td>\n",
       "      <td>ABCC2</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>ATP binding cassette subfamily C member 2 [Sou...</td>\n",
       "      <td>10</td>\n",
       "      <td>99782640</td>\n",
       "      <td>99782640</td>\n",
       "      <td>99852594</td>\n",
       "      <td>True</td>\n",
       "      <td>[99819089, 99819269, 99818790, 99818957, 99851...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            variant  overallScore  \\\n",
       "0  10_100006605_T_C      0.208516   \n",
       "1  10_100006605_T_C      0.118132   \n",
       "2  10_100006605_T_C      0.081593   \n",
       "3  10_100006605_T_C      0.081593   \n",
       "4  10_100006605_T_C      0.072527   \n",
       "\n",
       "                                                qtls intervals  \\\n",
       "0  [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...        []   \n",
       "1                                                 []        []   \n",
       "2  [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...        []   \n",
       "3                                                 []        []   \n",
       "4  [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...        []   \n",
       "\n",
       "                               functionalPredictions  \\\n",
       "0                                                 []   \n",
       "1  [{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...   \n",
       "2                                                 []   \n",
       "3                                                 []   \n",
       "4                                                 []   \n",
       "\n",
       "                                           distances          gene_id  \\\n",
       "0  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000095485   \n",
       "1  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000107554   \n",
       "2  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000196072   \n",
       "3  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000120054   \n",
       "4  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000023839   \n",
       "\n",
       "  gene_symbol    gene_bioType  \\\n",
       "0     CWF19L1  protein_coding   \n",
       "1       DNMBP  protein_coding   \n",
       "2     BLOC1S2  protein_coding   \n",
       "3        CPN1  protein_coding   \n",
       "4       ABCC2  protein_coding   \n",
       "\n",
       "                                    gene_description gene_chromosome  \\\n",
       "0  CWF19 like cell cycle control factor 1 [Source...              10   \n",
       "1  dynamin binding protein [Source:HGNC Symbol;Ac...              10   \n",
       "2  biogenesis of lysosomal organelles complex 1 s...              10   \n",
       "3  carboxypeptidase N subunit 1 [Source:HGNC Symb...              10   \n",
       "4  ATP binding cassette subfamily C member 2 [Sou...              10   \n",
       "\n",
       "    gene_tss  gene_start   gene_end  gene_fwdStrand  \\\n",
       "0  100267680   100232298  100267680           False   \n",
       "1  100009947    99875577  100009947           False   \n",
       "2  100286680   100273280  100286680           False   \n",
       "3  100081877   100042193  100081877           False   \n",
       "4   99782640    99782640   99852594            True   \n",
       "\n",
       "                                          gene_exons  \n",
       "0  [100232298, 100233371, 100235667, 100235764, 1...  \n",
       "1  [99955214, 99957205, 99969115, 99969237, 99971...  \n",
       "2  [100273293, 100275493, 100280124, 100280228, 1...  \n",
       "3  [100063614, 100063725, 100065188, 100065370, 1...  \n",
       "4  [99819089, 99819269, 99818790, 99818957, 99851...  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "otg_genes = variant_df[variant_df.gene_bioType == 'protein_coding'].copy().sort_values(['variant', 'overallScore'], ascending=[True, False]).reset_index(drop=True)\n",
    "otg_genes.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>variant</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>gene_symbol</th>\n",
       "      <th>overallScore</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10_100006605_T_C</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>0.208516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10_100028551_G_T</td>\n",
       "      <td>ENSG00000107554</td>\n",
       "      <td>DNMBP</td>\n",
       "      <td>0.090659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10_100037758_T_C</td>\n",
       "      <td>ENSG00000120054</td>\n",
       "      <td>CPN1</td>\n",
       "      <td>0.090659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10_100043668_C_T</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>0.235714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10_100045685_C_T</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>0.235714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15344</th>\n",
       "      <td>X_69157283_T_G</td>\n",
       "      <td>ENSG00000181191</td>\n",
       "      <td>PJA1</td>\n",
       "      <td>0.090659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15345</th>\n",
       "      <td>X_69157283_T_TG</td>\n",
       "      <td>ENSG00000181191</td>\n",
       "      <td>PJA1</td>\n",
       "      <td>0.090659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15346</th>\n",
       "      <td>X_8912639_A_G</td>\n",
       "      <td>ENSG00000183304</td>\n",
       "      <td>FAM9A</td>\n",
       "      <td>0.072527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15347</th>\n",
       "      <td>X_8945785_T_C</td>\n",
       "      <td>ENSG00000183304</td>\n",
       "      <td>FAM9A</td>\n",
       "      <td>0.072527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15348</th>\n",
       "      <td>X_92573550_C_T</td>\n",
       "      <td>ENSG00000102290</td>\n",
       "      <td>PCDH11X</td>\n",
       "      <td>0.027473</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15349 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                variant          gene_id gene_symbol  overallScore\n",
       "0      10_100006605_T_C  ENSG00000095485     CWF19L1      0.208516\n",
       "1      10_100028551_G_T  ENSG00000107554       DNMBP      0.090659\n",
       "2      10_100037758_T_C  ENSG00000120054        CPN1      0.090659\n",
       "3      10_100043668_C_T  ENSG00000095485     CWF19L1      0.235714\n",
       "4      10_100045685_C_T  ENSG00000095485     CWF19L1      0.235714\n",
       "...                 ...              ...         ...           ...\n",
       "15344    X_69157283_T_G  ENSG00000181191        PJA1      0.090659\n",
       "15345   X_69157283_T_TG  ENSG00000181191        PJA1      0.090659\n",
       "15346     X_8912639_A_G  ENSG00000183304       FAM9A      0.072527\n",
       "15347     X_8945785_T_C  ENSG00000183304       FAM9A      0.072527\n",
       "15348    X_92573550_C_T  ENSG00000102290     PCDH11X      0.027473\n",
       "\n",
       "[15349 rows x 4 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# gene with top score is too stringent\n",
    "\n",
    "otg_genes[['variant', 'gene_id', 'gene_symbol', 'overallScore']].loc[otg_genes.groupby('variant')['overallScore'].idxmax()].reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "#v2g = otg_genes[otg_genes.overallScore>0.2].loc[otg_genes.groupby('variant')['overallScore'].idxmax()][['variant', 'gene_id', 'gene_symbol', 'overallScore']].reset_index(drop=True)\n",
    "#v2g"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# top gene with score >= 0.2 per locus\n",
    "idx = otg_genes[otg_genes.overallScore>0.2][['variant', 'overallScore']].groupby('variant')['overallScore'].nlargest(1).reset_index().level_1.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>variant</th>\n",
       "      <th>overallScore</th>\n",
       "      <th>qtls</th>\n",
       "      <th>intervals</th>\n",
       "      <th>functionalPredictions</th>\n",
       "      <th>distances</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>gene_symbol</th>\n",
       "      <th>gene_bioType</th>\n",
       "      <th>gene_description</th>\n",
       "      <th>gene_chromosome</th>\n",
       "      <th>gene_tss</th>\n",
       "      <th>gene_start</th>\n",
       "      <th>gene_end</th>\n",
       "      <th>gene_fwdStrand</th>\n",
       "      <th>gene_exons</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10_100006605_T_C</td>\n",
       "      <td>0.208516</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>CWF19 like cell cycle control factor 1 [Source...</td>\n",
       "      <td>10</td>\n",
       "      <td>100267680</td>\n",
       "      <td>100232298</td>\n",
       "      <td>100267680</td>\n",
       "      <td>False</td>\n",
       "      <td>[100232298, 100233371, 100235667, 100235764, 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10_100043668_C_T</td>\n",
       "      <td>0.235714</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[{'typeId': 'pchic', 'sourceId': 'jung2019', '...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>CWF19 like cell cycle control factor 1 [Source...</td>\n",
       "      <td>10</td>\n",
       "      <td>100267680</td>\n",
       "      <td>100232298</td>\n",
       "      <td>100267680</td>\n",
       "      <td>False</td>\n",
       "      <td>[100232298, 100233371, 100235667, 100235764, 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10_100045685_C_T</td>\n",
       "      <td>0.235714</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[{'typeId': 'pchic', 'sourceId': 'jung2019', '...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>CWF19 like cell cycle control factor 1 [Source...</td>\n",
       "      <td>10</td>\n",
       "      <td>100267680</td>\n",
       "      <td>100232298</td>\n",
       "      <td>100267680</td>\n",
       "      <td>False</td>\n",
       "      <td>[100232298, 100233371, 100235667, 100235764, 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10_100046495_A_G</td>\n",
       "      <td>0.235714</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[{'typeId': 'pchic', 'sourceId': 'jung2019', '...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>CWF19 like cell cycle control factor 1 [Source...</td>\n",
       "      <td>10</td>\n",
       "      <td>100267680</td>\n",
       "      <td>100232298</td>\n",
       "      <td>100267680</td>\n",
       "      <td>False</td>\n",
       "      <td>[100232298, 100233371, 100235667, 100235764, 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10_100057584_A_G</td>\n",
       "      <td>0.235714</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>CWF19 like cell cycle control factor 1 [Source...</td>\n",
       "      <td>10</td>\n",
       "      <td>100267680</td>\n",
       "      <td>100232298</td>\n",
       "      <td>100267680</td>\n",
       "      <td>False</td>\n",
       "      <td>[100232298, 100233371, 100235667, 100235764, 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>10_100063786_T_C</td>\n",
       "      <td>0.290110</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[{'typeId': 'dhscor', 'sourceId': 'thurman2012...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000107554</td>\n",
       "      <td>DNMBP</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>dynamin binding protein [Source:HGNC Symbol;Ac...</td>\n",
       "      <td>10</td>\n",
       "      <td>100009947</td>\n",
       "      <td>99875577</td>\n",
       "      <td>100009947</td>\n",
       "      <td>False</td>\n",
       "      <td>[99955214, 99957205, 99969115, 99969237, 99971...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>10_100068504_C_T</td>\n",
       "      <td>0.244780</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[{'typeId': 'pchic', 'sourceId': 'jung2019', '...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>CWF19 like cell cycle control factor 1 [Source...</td>\n",
       "      <td>10</td>\n",
       "      <td>100267680</td>\n",
       "      <td>100232298</td>\n",
       "      <td>100267680</td>\n",
       "      <td>False</td>\n",
       "      <td>[100232298, 100233371, 100235667, 100235764, 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>10_100069757_C_T</td>\n",
       "      <td>0.271978</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'pchic', 'sourceId': 'jung2019', '...</td>\n",
       "      <td>[{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000120054</td>\n",
       "      <td>CPN1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>carboxypeptidase N subunit 1 [Source:HGNC Symb...</td>\n",
       "      <td>10</td>\n",
       "      <td>100081877</td>\n",
       "      <td>100042193</td>\n",
       "      <td>100081877</td>\n",
       "      <td>False</td>\n",
       "      <td>[100063614, 100063725, 100065188, 100065370, 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>10_100101678_G_A</td>\n",
       "      <td>0.244780</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>CWF19 like cell cycle control factor 1 [Source...</td>\n",
       "      <td>10</td>\n",
       "      <td>100267680</td>\n",
       "      <td>100232298</td>\n",
       "      <td>100267680</td>\n",
       "      <td>False</td>\n",
       "      <td>[100232298, 100233371, 100235667, 100235764, 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10_100152307_T_C</td>\n",
       "      <td>0.344505</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000107566</td>\n",
       "      <td>ERLIN1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>ER lipid raft associated 1 [Source:HGNC Symbol...</td>\n",
       "      <td>10</td>\n",
       "      <td>100186033</td>\n",
       "      <td>100150094</td>\n",
       "      <td>100186033</td>\n",
       "      <td>False</td>\n",
       "      <td>[100167348, 100167406, 100174208, 100174281, 1...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            variant  overallScore  \\\n",
       "0  10_100006605_T_C      0.208516   \n",
       "1  10_100043668_C_T      0.235714   \n",
       "2  10_100045685_C_T      0.235714   \n",
       "3  10_100046495_A_G      0.235714   \n",
       "4  10_100057584_A_G      0.235714   \n",
       "5  10_100063786_T_C      0.290110   \n",
       "6  10_100068504_C_T      0.244780   \n",
       "7  10_100069757_C_T      0.271978   \n",
       "8  10_100101678_G_A      0.244780   \n",
       "9  10_100152307_T_C      0.344505   \n",
       "\n",
       "                                                qtls  \\\n",
       "0  [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "1  [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "2  [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "3  [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "4  [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "5  [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "6  [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "7                                                 []   \n",
       "8  [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "9  [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "\n",
       "                                           intervals  \\\n",
       "0                                                 []   \n",
       "1  [{'typeId': 'pchic', 'sourceId': 'jung2019', '...   \n",
       "2  [{'typeId': 'pchic', 'sourceId': 'jung2019', '...   \n",
       "3  [{'typeId': 'pchic', 'sourceId': 'jung2019', '...   \n",
       "4                                                 []   \n",
       "5  [{'typeId': 'dhscor', 'sourceId': 'thurman2012...   \n",
       "6  [{'typeId': 'pchic', 'sourceId': 'jung2019', '...   \n",
       "7  [{'typeId': 'pchic', 'sourceId': 'jung2019', '...   \n",
       "8                                                 []   \n",
       "9                                                 []   \n",
       "\n",
       "                               functionalPredictions  \\\n",
       "0                                                 []   \n",
       "1                                                 []   \n",
       "2                                                 []   \n",
       "3                                                 []   \n",
       "4                                                 []   \n",
       "5                                                 []   \n",
       "6                                                 []   \n",
       "7  [{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...   \n",
       "8                                                 []   \n",
       "9  [{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...   \n",
       "\n",
       "                                           distances          gene_id  \\\n",
       "0  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000095485   \n",
       "1  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000095485   \n",
       "2  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000095485   \n",
       "3  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000095485   \n",
       "4  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000095485   \n",
       "5  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000107554   \n",
       "6  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000095485   \n",
       "7  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000120054   \n",
       "8  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000095485   \n",
       "9  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000107566   \n",
       "\n",
       "  gene_symbol    gene_bioType  \\\n",
       "0     CWF19L1  protein_coding   \n",
       "1     CWF19L1  protein_coding   \n",
       "2     CWF19L1  protein_coding   \n",
       "3     CWF19L1  protein_coding   \n",
       "4     CWF19L1  protein_coding   \n",
       "5       DNMBP  protein_coding   \n",
       "6     CWF19L1  protein_coding   \n",
       "7        CPN1  protein_coding   \n",
       "8     CWF19L1  protein_coding   \n",
       "9      ERLIN1  protein_coding   \n",
       "\n",
       "                                    gene_description gene_chromosome  \\\n",
       "0  CWF19 like cell cycle control factor 1 [Source...              10   \n",
       "1  CWF19 like cell cycle control factor 1 [Source...              10   \n",
       "2  CWF19 like cell cycle control factor 1 [Source...              10   \n",
       "3  CWF19 like cell cycle control factor 1 [Source...              10   \n",
       "4  CWF19 like cell cycle control factor 1 [Source...              10   \n",
       "5  dynamin binding protein [Source:HGNC Symbol;Ac...              10   \n",
       "6  CWF19 like cell cycle control factor 1 [Source...              10   \n",
       "7  carboxypeptidase N subunit 1 [Source:HGNC Symb...              10   \n",
       "8  CWF19 like cell cycle control factor 1 [Source...              10   \n",
       "9  ER lipid raft associated 1 [Source:HGNC Symbol...              10   \n",
       "\n",
       "    gene_tss  gene_start   gene_end  gene_fwdStrand  \\\n",
       "0  100267680   100232298  100267680           False   \n",
       "1  100267680   100232298  100267680           False   \n",
       "2  100267680   100232298  100267680           False   \n",
       "3  100267680   100232298  100267680           False   \n",
       "4  100267680   100232298  100267680           False   \n",
       "5  100009947    99875577  100009947           False   \n",
       "6  100267680   100232298  100267680           False   \n",
       "7  100081877   100042193  100081877           False   \n",
       "8  100267680   100232298  100267680           False   \n",
       "9  100186033   100150094  100186033           False   \n",
       "\n",
       "                                          gene_exons  \n",
       "0  [100232298, 100233371, 100235667, 100235764, 1...  \n",
       "1  [100232298, 100233371, 100235667, 100235764, 1...  \n",
       "2  [100232298, 100233371, 100235667, 100235764, 1...  \n",
       "3  [100232298, 100233371, 100235667, 100235764, 1...  \n",
       "4  [100232298, 100233371, 100235667, 100235764, 1...  \n",
       "5  [99955214, 99957205, 99969115, 99969237, 99971...  \n",
       "6  [100232298, 100233371, 100235667, 100235764, 1...  \n",
       "7  [100063614, 100063725, 100065188, 100065370, 1...  \n",
       "8  [100232298, 100233371, 100235667, 100235764, 1...  \n",
       "9  [100167348, 100167406, 100174208, 100174281, 1...  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "v2g = otg_genes.loc[idx].reset_index(drop=True)\n",
    "v2g.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "assert v2g.overallScore.min() >= 0.2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>rsid</th>\n",
       "      <th>CHR_ID</th>\n",
       "      <th>CHR_POS</th>\n",
       "      <th>overallScore</th>\n",
       "      <th>qtls</th>\n",
       "      <th>intervals</th>\n",
       "      <th>functionalPredictions</th>\n",
       "      <th>distances</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>gene_symbol</th>\n",
       "      <th>gene_bioType</th>\n",
       "      <th>gene_description</th>\n",
       "      <th>gene_chromosome</th>\n",
       "      <th>gene_tss</th>\n",
       "      <th>gene_start</th>\n",
       "      <th>gene_end</th>\n",
       "      <th>gene_fwdStrand</th>\n",
       "      <th>gene_exons</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10_100006605_T_C</td>\n",
       "      <td>rs57256140</td>\n",
       "      <td>10</td>\n",
       "      <td>100006605</td>\n",
       "      <td>0.208516</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>CWF19 like cell cycle control factor 1 [Source...</td>\n",
       "      <td>10</td>\n",
       "      <td>100267680</td>\n",
       "      <td>100232298</td>\n",
       "      <td>100267680</td>\n",
       "      <td>False</td>\n",
       "      <td>[100232298, 100233371, 100235667, 100235764, 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10_100043668_C_T</td>\n",
       "      <td>rs4295981</td>\n",
       "      <td>10</td>\n",
       "      <td>100043668</td>\n",
       "      <td>0.235714</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[{'typeId': 'pchic', 'sourceId': 'jung2019', '...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>CWF19 like cell cycle control factor 1 [Source...</td>\n",
       "      <td>10</td>\n",
       "      <td>100267680</td>\n",
       "      <td>100232298</td>\n",
       "      <td>100267680</td>\n",
       "      <td>False</td>\n",
       "      <td>[100232298, 100233371, 100235667, 100235764, 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10_100045685_C_T</td>\n",
       "      <td>rs11599750</td>\n",
       "      <td>10</td>\n",
       "      <td>100045685</td>\n",
       "      <td>0.235714</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[{'typeId': 'pchic', 'sourceId': 'jung2019', '...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>CWF19 like cell cycle control factor 1 [Source...</td>\n",
       "      <td>10</td>\n",
       "      <td>100267680</td>\n",
       "      <td>100232298</td>\n",
       "      <td>100267680</td>\n",
       "      <td>False</td>\n",
       "      <td>[100232298, 100233371, 100235667, 100235764, 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10_100046495_A_G</td>\n",
       "      <td>rs4919420</td>\n",
       "      <td>10</td>\n",
       "      <td>100046495</td>\n",
       "      <td>0.235714</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[{'typeId': 'pchic', 'sourceId': 'jung2019', '...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>CWF19 like cell cycle control factor 1 [Source...</td>\n",
       "      <td>10</td>\n",
       "      <td>100267680</td>\n",
       "      <td>100232298</td>\n",
       "      <td>100267680</td>\n",
       "      <td>False</td>\n",
       "      <td>[100232298, 100233371, 100235667, 100235764, 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10_100057584_A_G</td>\n",
       "      <td>rs2862926</td>\n",
       "      <td>10</td>\n",
       "      <td>100057584</td>\n",
       "      <td>0.235714</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>CWF19 like cell cycle control factor 1 [Source...</td>\n",
       "      <td>10</td>\n",
       "      <td>100267680</td>\n",
       "      <td>100232298</td>\n",
       "      <td>100267680</td>\n",
       "      <td>False</td>\n",
       "      <td>[100232298, 100233371, 100235667, 100235764, 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7271</th>\n",
       "      <td>X_154018741_A_G</td>\n",
       "      <td>rs1059702</td>\n",
       "      <td>X</td>\n",
       "      <td>154018741</td>\n",
       "      <td>0.290110</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000184216</td>\n",
       "      <td>IRAK1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>interleukin 1 receptor associated kinase 1 [So...</td>\n",
       "      <td>X</td>\n",
       "      <td>154019902</td>\n",
       "      <td>154010506</td>\n",
       "      <td>154019902</td>\n",
       "      <td>False</td>\n",
       "      <td>[154019677, 154019902, 154010507, 154011917, 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7272</th>\n",
       "      <td>X_154521643_G_A</td>\n",
       "      <td>rs5945199</td>\n",
       "      <td>X</td>\n",
       "      <td>154521643</td>\n",
       "      <td>0.235714</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000071889</td>\n",
       "      <td>FAM3A</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>family with sequence similarity 3 member A [So...</td>\n",
       "      <td>X</td>\n",
       "      <td>154516242</td>\n",
       "      <td>154506159</td>\n",
       "      <td>154516242</td>\n",
       "      <td>False</td>\n",
       "      <td>[154507203, 154507329, 154507406, 154507490, 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7273</th>\n",
       "      <td>X_154534419_G_A</td>\n",
       "      <td>rs5030868</td>\n",
       "      <td>X</td>\n",
       "      <td>154534419</td>\n",
       "      <td>0.271978</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000160211</td>\n",
       "      <td>G6PD</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>glucose-6-phosphate dehydrogenase [Source:HGNC...</td>\n",
       "      <td>X</td>\n",
       "      <td>154547572</td>\n",
       "      <td>154531390</td>\n",
       "      <td>154547572</td>\n",
       "      <td>False</td>\n",
       "      <td>[154531390, 154532090, 154532188, 154532280, 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7274</th>\n",
       "      <td>X_154536002_C_T</td>\n",
       "      <td>rs1050828</td>\n",
       "      <td>X</td>\n",
       "      <td>154536002</td>\n",
       "      <td>0.271978</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000160211</td>\n",
       "      <td>G6PD</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>glucose-6-phosphate dehydrogenase [Source:HGNC...</td>\n",
       "      <td>X</td>\n",
       "      <td>154547572</td>\n",
       "      <td>154531390</td>\n",
       "      <td>154547572</td>\n",
       "      <td>False</td>\n",
       "      <td>[154531390, 154532090, 154532188, 154532280, 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7275</th>\n",
       "      <td>X_56882269_T_C</td>\n",
       "      <td>rs5914012</td>\n",
       "      <td>X</td>\n",
       "      <td>56882269</td>\n",
       "      <td>0.217582</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000186787</td>\n",
       "      <td>SPIN2B</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>spindlin family member 2B [Source:HGNC Symbol;...</td>\n",
       "      <td>X</td>\n",
       "      <td>57121546</td>\n",
       "      <td>57118551</td>\n",
       "      <td>57121546</td>\n",
       "      <td>False</td>\n",
       "      <td>[57119683, 57120631, 57121238, 57121546]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7276 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    id        rsid CHR_ID    CHR_POS  overallScore  \\\n",
       "0     10_100006605_T_C  rs57256140     10  100006605      0.208516   \n",
       "1     10_100043668_C_T   rs4295981     10  100043668      0.235714   \n",
       "2     10_100045685_C_T  rs11599750     10  100045685      0.235714   \n",
       "3     10_100046495_A_G   rs4919420     10  100046495      0.235714   \n",
       "4     10_100057584_A_G   rs2862926     10  100057584      0.235714   \n",
       "...                ...         ...    ...        ...           ...   \n",
       "7271   X_154018741_A_G   rs1059702      X  154018741      0.290110   \n",
       "7272   X_154521643_G_A   rs5945199      X  154521643      0.235714   \n",
       "7273   X_154534419_G_A   rs5030868      X  154534419      0.271978   \n",
       "7274   X_154536002_C_T   rs1050828      X  154536002      0.271978   \n",
       "7275    X_56882269_T_C   rs5914012      X   56882269      0.217582   \n",
       "\n",
       "                                                   qtls  \\\n",
       "0     [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "1     [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "2     [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "3     [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "4     [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "...                                                 ...   \n",
       "7271  [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "7272  [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "7273                                                 []   \n",
       "7274                                                 []   \n",
       "7275  [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "\n",
       "                                              intervals  \\\n",
       "0                                                    []   \n",
       "1     [{'typeId': 'pchic', 'sourceId': 'jung2019', '...   \n",
       "2     [{'typeId': 'pchic', 'sourceId': 'jung2019', '...   \n",
       "3     [{'typeId': 'pchic', 'sourceId': 'jung2019', '...   \n",
       "4                                                    []   \n",
       "...                                                 ...   \n",
       "7271                                                 []   \n",
       "7272                                                 []   \n",
       "7273                                                 []   \n",
       "7274                                                 []   \n",
       "7275                                                 []   \n",
       "\n",
       "                                  functionalPredictions  \\\n",
       "0                                                    []   \n",
       "1                                                    []   \n",
       "2                                                    []   \n",
       "3                                                    []   \n",
       "4                                                    []   \n",
       "...                                                 ...   \n",
       "7271  [{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...   \n",
       "7272                                                 []   \n",
       "7273  [{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...   \n",
       "7274  [{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...   \n",
       "7275                                                 []   \n",
       "\n",
       "                                              distances          gene_id  \\\n",
       "0     [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000095485   \n",
       "1     [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000095485   \n",
       "2     [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000095485   \n",
       "3     [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000095485   \n",
       "4     [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000095485   \n",
       "...                                                 ...              ...   \n",
       "7271  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000184216   \n",
       "7272  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000071889   \n",
       "7273  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000160211   \n",
       "7274  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000160211   \n",
       "7275  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000186787   \n",
       "\n",
       "     gene_symbol    gene_bioType  \\\n",
       "0        CWF19L1  protein_coding   \n",
       "1        CWF19L1  protein_coding   \n",
       "2        CWF19L1  protein_coding   \n",
       "3        CWF19L1  protein_coding   \n",
       "4        CWF19L1  protein_coding   \n",
       "...          ...             ...   \n",
       "7271       IRAK1  protein_coding   \n",
       "7272       FAM3A  protein_coding   \n",
       "7273        G6PD  protein_coding   \n",
       "7274        G6PD  protein_coding   \n",
       "7275      SPIN2B  protein_coding   \n",
       "\n",
       "                                       gene_description gene_chromosome  \\\n",
       "0     CWF19 like cell cycle control factor 1 [Source...              10   \n",
       "1     CWF19 like cell cycle control factor 1 [Source...              10   \n",
       "2     CWF19 like cell cycle control factor 1 [Source...              10   \n",
       "3     CWF19 like cell cycle control factor 1 [Source...              10   \n",
       "4     CWF19 like cell cycle control factor 1 [Source...              10   \n",
       "...                                                 ...             ...   \n",
       "7271  interleukin 1 receptor associated kinase 1 [So...               X   \n",
       "7272  family with sequence similarity 3 member A [So...               X   \n",
       "7273  glucose-6-phosphate dehydrogenase [Source:HGNC...               X   \n",
       "7274  glucose-6-phosphate dehydrogenase [Source:HGNC...               X   \n",
       "7275  spindlin family member 2B [Source:HGNC Symbol;...               X   \n",
       "\n",
       "       gene_tss  gene_start   gene_end  gene_fwdStrand  \\\n",
       "0     100267680   100232298  100267680           False   \n",
       "1     100267680   100232298  100267680           False   \n",
       "2     100267680   100232298  100267680           False   \n",
       "3     100267680   100232298  100267680           False   \n",
       "4     100267680   100232298  100267680           False   \n",
       "...         ...         ...        ...             ...   \n",
       "7271  154019902   154010506  154019902           False   \n",
       "7272  154516242   154506159  154516242           False   \n",
       "7273  154547572   154531390  154547572           False   \n",
       "7274  154547572   154531390  154547572           False   \n",
       "7275   57121546    57118551   57121546           False   \n",
       "\n",
       "                                             gene_exons  \n",
       "0     [100232298, 100233371, 100235667, 100235764, 1...  \n",
       "1     [100232298, 100233371, 100235667, 100235764, 1...  \n",
       "2     [100232298, 100233371, 100235667, 100235764, 1...  \n",
       "3     [100232298, 100233371, 100235667, 100235764, 1...  \n",
       "4     [100232298, 100233371, 100235667, 100235764, 1...  \n",
       "...                                                 ...  \n",
       "7271  [154019677, 154019902, 154010507, 154011917, 1...  \n",
       "7272  [154507203, 154507329, 154507406, 154507490, 1...  \n",
       "7273  [154531390, 154532090, 154532188, 154532280, 1...  \n",
       "7274  [154531390, 154532090, 154532188, 154532280, 1...  \n",
       "7275           [57119683, 57120631, 57121238, 57121546]  \n",
       "\n",
       "[7276 rows x 19 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "otg_df = otg_df.merge(v2g, left_on='id', right_on='variant').drop(columns='variant').sort_values('id').reset_index(drop=True)\n",
    "otg_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "#otg_df = otg_df.groupby(['id', 'rsid'])[['gene_id', 'gene_symbol']].agg(tuple).reset_index()\n",
    "#otg_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>gene_symbol</th>\n",
       "      <th>variant_V2G_id</th>\n",
       "      <th>variant_V2G_symbol</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10_100006605_T_C</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>(ENSG00000095485, 10_100006605_T_C)</td>\n",
       "      <td>(CWF19L1, 10_100006605_T_C)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10_100043668_C_T</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>(ENSG00000095485, 10_100043668_C_T)</td>\n",
       "      <td>(CWF19L1, 10_100043668_C_T)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10_100045685_C_T</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>(ENSG00000095485, 10_100045685_C_T)</td>\n",
       "      <td>(CWF19L1, 10_100045685_C_T)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10_100046495_A_G</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>(ENSG00000095485, 10_100046495_A_G)</td>\n",
       "      <td>(CWF19L1, 10_100046495_A_G)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10_100057584_A_G</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>(ENSG00000095485, 10_100057584_A_G)</td>\n",
       "      <td>(CWF19L1, 10_100057584_A_G)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7271</th>\n",
       "      <td>X_154018741_A_G</td>\n",
       "      <td>ENSG00000184216</td>\n",
       "      <td>IRAK1</td>\n",
       "      <td>(ENSG00000184216, X_154018741_A_G)</td>\n",
       "      <td>(IRAK1, X_154018741_A_G)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7272</th>\n",
       "      <td>X_154521643_G_A</td>\n",
       "      <td>ENSG00000071889</td>\n",
       "      <td>FAM3A</td>\n",
       "      <td>(ENSG00000071889, X_154521643_G_A)</td>\n",
       "      <td>(FAM3A, X_154521643_G_A)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7273</th>\n",
       "      <td>X_154534419_G_A</td>\n",
       "      <td>ENSG00000160211</td>\n",
       "      <td>G6PD</td>\n",
       "      <td>(ENSG00000160211, X_154534419_G_A)</td>\n",
       "      <td>(G6PD, X_154534419_G_A)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7274</th>\n",
       "      <td>X_154536002_C_T</td>\n",
       "      <td>ENSG00000160211</td>\n",
       "      <td>G6PD</td>\n",
       "      <td>(ENSG00000160211, X_154536002_C_T)</td>\n",
       "      <td>(G6PD, X_154536002_C_T)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7275</th>\n",
       "      <td>X_56882269_T_C</td>\n",
       "      <td>ENSG00000186787</td>\n",
       "      <td>SPIN2B</td>\n",
       "      <td>(ENSG00000186787, X_56882269_T_C)</td>\n",
       "      <td>(SPIN2B, X_56882269_T_C)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7276 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    id          gene_id gene_symbol  \\\n",
       "0     10_100006605_T_C  ENSG00000095485     CWF19L1   \n",
       "1     10_100043668_C_T  ENSG00000095485     CWF19L1   \n",
       "2     10_100045685_C_T  ENSG00000095485     CWF19L1   \n",
       "3     10_100046495_A_G  ENSG00000095485     CWF19L1   \n",
       "4     10_100057584_A_G  ENSG00000095485     CWF19L1   \n",
       "...                ...              ...         ...   \n",
       "7271   X_154018741_A_G  ENSG00000184216       IRAK1   \n",
       "7272   X_154521643_G_A  ENSG00000071889       FAM3A   \n",
       "7273   X_154534419_G_A  ENSG00000160211        G6PD   \n",
       "7274   X_154536002_C_T  ENSG00000160211        G6PD   \n",
       "7275    X_56882269_T_C  ENSG00000186787      SPIN2B   \n",
       "\n",
       "                           variant_V2G_id           variant_V2G_symbol  \n",
       "0     (ENSG00000095485, 10_100006605_T_C)  (CWF19L1, 10_100006605_T_C)  \n",
       "1     (ENSG00000095485, 10_100043668_C_T)  (CWF19L1, 10_100043668_C_T)  \n",
       "2     (ENSG00000095485, 10_100045685_C_T)  (CWF19L1, 10_100045685_C_T)  \n",
       "3     (ENSG00000095485, 10_100046495_A_G)  (CWF19L1, 10_100046495_A_G)  \n",
       "4     (ENSG00000095485, 10_100057584_A_G)  (CWF19L1, 10_100057584_A_G)  \n",
       "...                                   ...                          ...  \n",
       "7271   (ENSG00000184216, X_154018741_A_G)     (IRAK1, X_154018741_A_G)  \n",
       "7272   (ENSG00000071889, X_154521643_G_A)     (FAM3A, X_154521643_G_A)  \n",
       "7273   (ENSG00000160211, X_154534419_G_A)      (G6PD, X_154534419_G_A)  \n",
       "7274   (ENSG00000160211, X_154536002_C_T)      (G6PD, X_154536002_C_T)  \n",
       "7275    (ENSG00000186787, X_56882269_T_C)     (SPIN2B, X_56882269_T_C)  \n",
       "\n",
       "[7276 rows x 5 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "otg_df['variant_V2G_symbol'] = list(zip(otg_df.gene_symbol, otg_df.id))\n",
    "otg_df['variant_V2G_id'] = list(zip(otg_df.gene_id, otg_df.id))\n",
    "\n",
    "otg_df[['id', 'gene_id', 'gene_symbol', 'variant_V2G_id', 'variant_V2G_symbol']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "ebi['rsid'] = [x.split('-')[0].strip() for x in ebi['STRONGEST SNP-RISK ALLELE']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.options.display.max_columns = 100"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Merge the V2G info back to the GWAS data frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>rsid</th>\n",
       "      <th>CHR_ID</th>\n",
       "      <th>CHR_POS</th>\n",
       "      <th>overallScore</th>\n",
       "      <th>qtls</th>\n",
       "      <th>intervals</th>\n",
       "      <th>functionalPredictions</th>\n",
       "      <th>distances</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>gene_symbol</th>\n",
       "      <th>gene_bioType</th>\n",
       "      <th>gene_description</th>\n",
       "      <th>gene_chromosome</th>\n",
       "      <th>gene_tss</th>\n",
       "      <th>gene_start</th>\n",
       "      <th>gene_end</th>\n",
       "      <th>gene_fwdStrand</th>\n",
       "      <th>gene_exons</th>\n",
       "      <th>variant_V2G_symbol</th>\n",
       "      <th>variant_V2G_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10_100006605_T_C</td>\n",
       "      <td>rs57256140</td>\n",
       "      <td>10</td>\n",
       "      <td>100006605</td>\n",
       "      <td>0.208516</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>CWF19 like cell cycle control factor 1 [Source...</td>\n",
       "      <td>10</td>\n",
       "      <td>100267680</td>\n",
       "      <td>100232298</td>\n",
       "      <td>100267680</td>\n",
       "      <td>False</td>\n",
       "      <td>[100232298, 100233371, 100235667, 100235764, 1...</td>\n",
       "      <td>(CWF19L1, 10_100006605_T_C)</td>\n",
       "      <td>(ENSG00000095485, 10_100006605_T_C)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10_100043668_C_T</td>\n",
       "      <td>rs4295981</td>\n",
       "      <td>10</td>\n",
       "      <td>100043668</td>\n",
       "      <td>0.235714</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[{'typeId': 'pchic', 'sourceId': 'jung2019', '...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>CWF19 like cell cycle control factor 1 [Source...</td>\n",
       "      <td>10</td>\n",
       "      <td>100267680</td>\n",
       "      <td>100232298</td>\n",
       "      <td>100267680</td>\n",
       "      <td>False</td>\n",
       "      <td>[100232298, 100233371, 100235667, 100235764, 1...</td>\n",
       "      <td>(CWF19L1, 10_100043668_C_T)</td>\n",
       "      <td>(ENSG00000095485, 10_100043668_C_T)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10_100045685_C_T</td>\n",
       "      <td>rs11599750</td>\n",
       "      <td>10</td>\n",
       "      <td>100045685</td>\n",
       "      <td>0.235714</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[{'typeId': 'pchic', 'sourceId': 'jung2019', '...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>CWF19 like cell cycle control factor 1 [Source...</td>\n",
       "      <td>10</td>\n",
       "      <td>100267680</td>\n",
       "      <td>100232298</td>\n",
       "      <td>100267680</td>\n",
       "      <td>False</td>\n",
       "      <td>[100232298, 100233371, 100235667, 100235764, 1...</td>\n",
       "      <td>(CWF19L1, 10_100045685_C_T)</td>\n",
       "      <td>(ENSG00000095485, 10_100045685_C_T)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10_100046495_A_G</td>\n",
       "      <td>rs4919420</td>\n",
       "      <td>10</td>\n",
       "      <td>100046495</td>\n",
       "      <td>0.235714</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[{'typeId': 'pchic', 'sourceId': 'jung2019', '...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>CWF19 like cell cycle control factor 1 [Source...</td>\n",
       "      <td>10</td>\n",
       "      <td>100267680</td>\n",
       "      <td>100232298</td>\n",
       "      <td>100267680</td>\n",
       "      <td>False</td>\n",
       "      <td>[100232298, 100233371, 100235667, 100235764, 1...</td>\n",
       "      <td>(CWF19L1, 10_100046495_A_G)</td>\n",
       "      <td>(ENSG00000095485, 10_100046495_A_G)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10_100057584_A_G</td>\n",
       "      <td>rs2862926</td>\n",
       "      <td>10</td>\n",
       "      <td>100057584</td>\n",
       "      <td>0.235714</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000095485</td>\n",
       "      <td>CWF19L1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>CWF19 like cell cycle control factor 1 [Source...</td>\n",
       "      <td>10</td>\n",
       "      <td>100267680</td>\n",
       "      <td>100232298</td>\n",
       "      <td>100267680</td>\n",
       "      <td>False</td>\n",
       "      <td>[100232298, 100233371, 100235667, 100235764, 1...</td>\n",
       "      <td>(CWF19L1, 10_100057584_A_G)</td>\n",
       "      <td>(ENSG00000095485, 10_100057584_A_G)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7271</th>\n",
       "      <td>X_154018741_A_G</td>\n",
       "      <td>rs1059702</td>\n",
       "      <td>X</td>\n",
       "      <td>154018741</td>\n",
       "      <td>0.290110</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000184216</td>\n",
       "      <td>IRAK1</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>interleukin 1 receptor associated kinase 1 [So...</td>\n",
       "      <td>X</td>\n",
       "      <td>154019902</td>\n",
       "      <td>154010506</td>\n",
       "      <td>154019902</td>\n",
       "      <td>False</td>\n",
       "      <td>[154019677, 154019902, 154010507, 154011917, 1...</td>\n",
       "      <td>(IRAK1, X_154018741_A_G)</td>\n",
       "      <td>(ENSG00000184216, X_154018741_A_G)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7272</th>\n",
       "      <td>X_154521643_G_A</td>\n",
       "      <td>rs5945199</td>\n",
       "      <td>X</td>\n",
       "      <td>154521643</td>\n",
       "      <td>0.235714</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000071889</td>\n",
       "      <td>FAM3A</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>family with sequence similarity 3 member A [So...</td>\n",
       "      <td>X</td>\n",
       "      <td>154516242</td>\n",
       "      <td>154506159</td>\n",
       "      <td>154516242</td>\n",
       "      <td>False</td>\n",
       "      <td>[154507203, 154507329, 154507406, 154507490, 1...</td>\n",
       "      <td>(FAM3A, X_154521643_G_A)</td>\n",
       "      <td>(ENSG00000071889, X_154521643_G_A)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7273</th>\n",
       "      <td>X_154534419_G_A</td>\n",
       "      <td>rs5030868</td>\n",
       "      <td>X</td>\n",
       "      <td>154534419</td>\n",
       "      <td>0.271978</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000160211</td>\n",
       "      <td>G6PD</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>glucose-6-phosphate dehydrogenase [Source:HGNC...</td>\n",
       "      <td>X</td>\n",
       "      <td>154547572</td>\n",
       "      <td>154531390</td>\n",
       "      <td>154547572</td>\n",
       "      <td>False</td>\n",
       "      <td>[154531390, 154532090, 154532188, 154532280, 1...</td>\n",
       "      <td>(G6PD, X_154534419_G_A)</td>\n",
       "      <td>(ENSG00000160211, X_154534419_G_A)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7274</th>\n",
       "      <td>X_154536002_C_T</td>\n",
       "      <td>rs1050828</td>\n",
       "      <td>X</td>\n",
       "      <td>154536002</td>\n",
       "      <td>0.271978</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000160211</td>\n",
       "      <td>G6PD</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>glucose-6-phosphate dehydrogenase [Source:HGNC...</td>\n",
       "      <td>X</td>\n",
       "      <td>154547572</td>\n",
       "      <td>154531390</td>\n",
       "      <td>154547572</td>\n",
       "      <td>False</td>\n",
       "      <td>[154531390, 154532090, 154532188, 154532280, 1...</td>\n",
       "      <td>(G6PD, X_154536002_C_T)</td>\n",
       "      <td>(ENSG00000160211, X_154536002_C_T)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7275</th>\n",
       "      <td>X_56882269_T_C</td>\n",
       "      <td>rs5914012</td>\n",
       "      <td>X</td>\n",
       "      <td>56882269</td>\n",
       "      <td>0.217582</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000186787</td>\n",
       "      <td>SPIN2B</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>spindlin family member 2B [Source:HGNC Symbol;...</td>\n",
       "      <td>X</td>\n",
       "      <td>57121546</td>\n",
       "      <td>57118551</td>\n",
       "      <td>57121546</td>\n",
       "      <td>False</td>\n",
       "      <td>[57119683, 57120631, 57121238, 57121546]</td>\n",
       "      <td>(SPIN2B, X_56882269_T_C)</td>\n",
       "      <td>(ENSG00000186787, X_56882269_T_C)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7276 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    id        rsid CHR_ID    CHR_POS  overallScore  \\\n",
       "0     10_100006605_T_C  rs57256140     10  100006605      0.208516   \n",
       "1     10_100043668_C_T   rs4295981     10  100043668      0.235714   \n",
       "2     10_100045685_C_T  rs11599750     10  100045685      0.235714   \n",
       "3     10_100046495_A_G   rs4919420     10  100046495      0.235714   \n",
       "4     10_100057584_A_G   rs2862926     10  100057584      0.235714   \n",
       "...                ...         ...    ...        ...           ...   \n",
       "7271   X_154018741_A_G   rs1059702      X  154018741      0.290110   \n",
       "7272   X_154521643_G_A   rs5945199      X  154521643      0.235714   \n",
       "7273   X_154534419_G_A   rs5030868      X  154534419      0.271978   \n",
       "7274   X_154536002_C_T   rs1050828      X  154536002      0.271978   \n",
       "7275    X_56882269_T_C   rs5914012      X   56882269      0.217582   \n",
       "\n",
       "                                                   qtls  \\\n",
       "0     [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "1     [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "2     [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "3     [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "4     [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "...                                                 ...   \n",
       "7271  [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "7272  [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "7273                                                 []   \n",
       "7274                                                 []   \n",
       "7275  [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...   \n",
       "\n",
       "                                              intervals  \\\n",
       "0                                                    []   \n",
       "1     [{'typeId': 'pchic', 'sourceId': 'jung2019', '...   \n",
       "2     [{'typeId': 'pchic', 'sourceId': 'jung2019', '...   \n",
       "3     [{'typeId': 'pchic', 'sourceId': 'jung2019', '...   \n",
       "4                                                    []   \n",
       "...                                                 ...   \n",
       "7271                                                 []   \n",
       "7272                                                 []   \n",
       "7273                                                 []   \n",
       "7274                                                 []   \n",
       "7275                                                 []   \n",
       "\n",
       "                                  functionalPredictions  \\\n",
       "0                                                    []   \n",
       "1                                                    []   \n",
       "2                                                    []   \n",
       "3                                                    []   \n",
       "4                                                    []   \n",
       "...                                                 ...   \n",
       "7271  [{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...   \n",
       "7272                                                 []   \n",
       "7273  [{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...   \n",
       "7274  [{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...   \n",
       "7275                                                 []   \n",
       "\n",
       "                                              distances          gene_id  \\\n",
       "0     [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000095485   \n",
       "1     [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000095485   \n",
       "2     [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000095485   \n",
       "3     [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000095485   \n",
       "4     [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000095485   \n",
       "...                                                 ...              ...   \n",
       "7271  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000184216   \n",
       "7272  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000071889   \n",
       "7273  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000160211   \n",
       "7274  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000160211   \n",
       "7275  [{'typeId': 'distance', 'sourceId': 'canonical...  ENSG00000186787   \n",
       "\n",
       "     gene_symbol    gene_bioType  \\\n",
       "0        CWF19L1  protein_coding   \n",
       "1        CWF19L1  protein_coding   \n",
       "2        CWF19L1  protein_coding   \n",
       "3        CWF19L1  protein_coding   \n",
       "4        CWF19L1  protein_coding   \n",
       "...          ...             ...   \n",
       "7271       IRAK1  protein_coding   \n",
       "7272       FAM3A  protein_coding   \n",
       "7273        G6PD  protein_coding   \n",
       "7274        G6PD  protein_coding   \n",
       "7275      SPIN2B  protein_coding   \n",
       "\n",
       "                                       gene_description gene_chromosome  \\\n",
       "0     CWF19 like cell cycle control factor 1 [Source...              10   \n",
       "1     CWF19 like cell cycle control factor 1 [Source...              10   \n",
       "2     CWF19 like cell cycle control factor 1 [Source...              10   \n",
       "3     CWF19 like cell cycle control factor 1 [Source...              10   \n",
       "4     CWF19 like cell cycle control factor 1 [Source...              10   \n",
       "...                                                 ...             ...   \n",
       "7271  interleukin 1 receptor associated kinase 1 [So...               X   \n",
       "7272  family with sequence similarity 3 member A [So...               X   \n",
       "7273  glucose-6-phosphate dehydrogenase [Source:HGNC...               X   \n",
       "7274  glucose-6-phosphate dehydrogenase [Source:HGNC...               X   \n",
       "7275  spindlin family member 2B [Source:HGNC Symbol;...               X   \n",
       "\n",
       "       gene_tss  gene_start   gene_end  gene_fwdStrand  \\\n",
       "0     100267680   100232298  100267680           False   \n",
       "1     100267680   100232298  100267680           False   \n",
       "2     100267680   100232298  100267680           False   \n",
       "3     100267680   100232298  100267680           False   \n",
       "4     100267680   100232298  100267680           False   \n",
       "...         ...         ...        ...             ...   \n",
       "7271  154019902   154010506  154019902           False   \n",
       "7272  154516242   154506159  154516242           False   \n",
       "7273  154547572   154531390  154547572           False   \n",
       "7274  154547572   154531390  154547572           False   \n",
       "7275   57121546    57118551   57121546           False   \n",
       "\n",
       "                                             gene_exons  \\\n",
       "0     [100232298, 100233371, 100235667, 100235764, 1...   \n",
       "1     [100232298, 100233371, 100235667, 100235764, 1...   \n",
       "2     [100232298, 100233371, 100235667, 100235764, 1...   \n",
       "3     [100232298, 100233371, 100235667, 100235764, 1...   \n",
       "4     [100232298, 100233371, 100235667, 100235764, 1...   \n",
       "...                                                 ...   \n",
       "7271  [154019677, 154019902, 154010507, 154011917, 1...   \n",
       "7272  [154507203, 154507329, 154507406, 154507490, 1...   \n",
       "7273  [154531390, 154532090, 154532188, 154532280, 1...   \n",
       "7274  [154531390, 154532090, 154532188, 154532280, 1...   \n",
       "7275           [57119683, 57120631, 57121238, 57121546]   \n",
       "\n",
       "               variant_V2G_symbol                       variant_V2G_id  \n",
       "0     (CWF19L1, 10_100006605_T_C)  (ENSG00000095485, 10_100006605_T_C)  \n",
       "1     (CWF19L1, 10_100043668_C_T)  (ENSG00000095485, 10_100043668_C_T)  \n",
       "2     (CWF19L1, 10_100045685_C_T)  (ENSG00000095485, 10_100045685_C_T)  \n",
       "3     (CWF19L1, 10_100046495_A_G)  (ENSG00000095485, 10_100046495_A_G)  \n",
       "4     (CWF19L1, 10_100057584_A_G)  (ENSG00000095485, 10_100057584_A_G)  \n",
       "...                           ...                                  ...  \n",
       "7271     (IRAK1, X_154018741_A_G)   (ENSG00000184216, X_154018741_A_G)  \n",
       "7272     (FAM3A, X_154521643_G_A)   (ENSG00000071889, X_154521643_G_A)  \n",
       "7273      (G6PD, X_154534419_G_A)   (ENSG00000160211, X_154534419_G_A)  \n",
       "7274      (G6PD, X_154536002_C_T)   (ENSG00000160211, X_154536002_C_T)  \n",
       "7275     (SPIN2B, X_56882269_T_C)    (ENSG00000186787, X_56882269_T_C)  \n",
       "\n",
       "[7276 rows x 21 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "otg_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE ADDED TO CATALOG</th>\n",
       "      <th>PUBMEDID</th>\n",
       "      <th>FIRST AUTHOR</th>\n",
       "      <th>DATE</th>\n",
       "      <th>JOURNAL</th>\n",
       "      <th>LINK</th>\n",
       "      <th>STUDY</th>\n",
       "      <th>DISEASE/TRAIT</th>\n",
       "      <th>INITIAL SAMPLE SIZE</th>\n",
       "      <th>REPLICATION SAMPLE SIZE</th>\n",
       "      <th>REGION</th>\n",
       "      <th>CHR_ID</th>\n",
       "      <th>CHR_POS</th>\n",
       "      <th>REPORTED GENE(S)</th>\n",
       "      <th>MAPPED_GENE</th>\n",
       "      <th>UPSTREAM_GENE_ID</th>\n",
       "      <th>DOWNSTREAM_GENE_ID</th>\n",
       "      <th>SNP_GENE_IDS</th>\n",
       "      <th>UPSTREAM_GENE_DISTANCE</th>\n",
       "      <th>DOWNSTREAM_GENE_DISTANCE</th>\n",
       "      <th>STRONGEST SNP-RISK ALLELE</th>\n",
       "      <th>SNPS</th>\n",
       "      <th>MERGED</th>\n",
       "      <th>SNP_ID_CURRENT</th>\n",
       "      <th>CONTEXT</th>\n",
       "      <th>INTERGENIC</th>\n",
       "      <th>RISK ALLELE FREQUENCY</th>\n",
       "      <th>P-VALUE</th>\n",
       "      <th>PVALUE_MLOG</th>\n",
       "      <th>P-VALUE (TEXT)</th>\n",
       "      <th>OR or BETA</th>\n",
       "      <th>95% CI (TEXT)</th>\n",
       "      <th>PLATFORM [SNPS PASSING QC]</th>\n",
       "      <th>CNV</th>\n",
       "      <th>MAPPED_TRAIT</th>\n",
       "      <th>MAPPED_TRAIT_URI</th>\n",
       "      <th>GENOTYPING TECHNOLOGY</th>\n",
       "      <th>ASSOCIATION COUNT</th>\n",
       "      <th>rsid</th>\n",
       "      <th>otg_variant_id</th>\n",
       "      <th>overallScore</th>\n",
       "      <th>qtls</th>\n",
       "      <th>intervals</th>\n",
       "      <th>functionalPredictions</th>\n",
       "      <th>distances</th>\n",
       "      <th>otg_v2g_gene_id</th>\n",
       "      <th>otg_v2g_gene_symbol</th>\n",
       "      <th>gene_bioType</th>\n",
       "      <th>gene_description</th>\n",
       "      <th>gene_chromosome</th>\n",
       "      <th>gene_tss</th>\n",
       "      <th>gene_start</th>\n",
       "      <th>gene_end</th>\n",
       "      <th>gene_fwdStrand</th>\n",
       "      <th>gene_exons</th>\n",
       "      <th>variant_V2G_symbol</th>\n",
       "      <th>variant_V2G_id</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STUDY ACCESSION</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GCST000189</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18464913</td>\n",
       "      <td>Melzer D</td>\n",
       "      <td>2008-05-09</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18464913</td>\n",
       "      <td>A genome-wide association study identifies pro...</td>\n",
       "      <td>Protein quantitative trait loci</td>\n",
       "      <td>1,200 European ancestry individuals</td>\n",
       "      <td>up to 4,590 European ancestry individuals</td>\n",
       "      <td>17q12</td>\n",
       "      <td>17</td>\n",
       "      <td>36463349</td>\n",
       "      <td>CCL4L2</td>\n",
       "      <td>TBC1D3J - ZNHIT3</td>\n",
       "      <td>ENSG00000282656</td>\n",
       "      <td>ENSG00000273611</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5814.0</td>\n",
       "      <td>23280.0</td>\n",
       "      <td>rs4796217-?</td>\n",
       "      <td>rs4796217</td>\n",
       "      <td>0</td>\n",
       "      <td>4796217.0</td>\n",
       "      <td>regulatory_region_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.34</td>\n",
       "      <td>4.000000e-21</td>\n",
       "      <td>20.397940</td>\n",
       "      <td>(MIPb)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [496032]</td>\n",
       "      <td>N</td>\n",
       "      <td>CCL4 measurement</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0004751</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>49</td>\n",
       "      <td>rs4796217</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000189</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18464913</td>\n",
       "      <td>Melzer D</td>\n",
       "      <td>2008-05-09</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18464913</td>\n",
       "      <td>A genome-wide association study identifies pro...</td>\n",
       "      <td>Protein quantitative trait loci</td>\n",
       "      <td>1,200 European ancestry individuals</td>\n",
       "      <td>up to 4,590 European ancestry individuals</td>\n",
       "      <td>6q25.3</td>\n",
       "      <td>6</td>\n",
       "      <td>160597142</td>\n",
       "      <td>LPA</td>\n",
       "      <td>LPA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ENSG00000198670</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>rs7770628-?</td>\n",
       "      <td>rs7770628</td>\n",
       "      <td>0</td>\n",
       "      <td>7770628.0</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.49</td>\n",
       "      <td>4.000000e-10</td>\n",
       "      <td>9.397940</td>\n",
       "      <td>(LPA)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [496032]</td>\n",
       "      <td>N</td>\n",
       "      <td>Apolipoprotein A 1 measurement</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0004614</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>49</td>\n",
       "      <td>rs7770628</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000189</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18464913</td>\n",
       "      <td>Melzer D</td>\n",
       "      <td>2008-05-09</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18464913</td>\n",
       "      <td>A genome-wide association study identifies pro...</td>\n",
       "      <td>Protein quantitative trait loci</td>\n",
       "      <td>1,200 European ancestry individuals</td>\n",
       "      <td>up to 4,590 European ancestry individuals</td>\n",
       "      <td>9q34.2</td>\n",
       "      <td>9</td>\n",
       "      <td>133273813</td>\n",
       "      <td>ABO</td>\n",
       "      <td>ABO, ABO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ENSG00000175164, ENSG00000281879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>rs505922-?</td>\n",
       "      <td>rs505922</td>\n",
       "      <td>0</td>\n",
       "      <td>505922.0</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.34</td>\n",
       "      <td>7.000000e-40</td>\n",
       "      <td>39.154902</td>\n",
       "      <td>(TNFA)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [496032]</td>\n",
       "      <td>N</td>\n",
       "      <td>Tumor necrosis factor-alpha measurement</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0004684</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>49</td>\n",
       "      <td>rs505922</td>\n",
       "      <td>9_133273813_T_C</td>\n",
       "      <td>0.299451</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000175164</td>\n",
       "      <td>ABO</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>ABO, alpha 1-3-N-acetylgalactosaminyltransfera...</td>\n",
       "      <td>9</td>\n",
       "      <td>133276024.0</td>\n",
       "      <td>133250401.0</td>\n",
       "      <td>133276024.0</td>\n",
       "      <td>False</td>\n",
       "      <td>[133255602, 133255670, 133255675, 133256356, 1...</td>\n",
       "      <td>(ABO, 9_133273813_T_C)</td>\n",
       "      <td>(ENSG00000175164, 9_133273813_T_C)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000184</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18454146</td>\n",
       "      <td>Chambers JC</td>\n",
       "      <td>2008-05-04</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18454146</td>\n",
       "      <td>Common genetic variation near MC4R is associat...</td>\n",
       "      <td>Waist circumference and related phenotypes</td>\n",
       "      <td>2,684 Indian Asian ancestry male individuals</td>\n",
       "      <td>7,394 Indian Asian ancestry individuals, 4,561...</td>\n",
       "      <td>16q13</td>\n",
       "      <td>16</td>\n",
       "      <td>56959412</td>\n",
       "      <td>CETP</td>\n",
       "      <td>HERPUD1 - CETP</td>\n",
       "      <td>ENSG00000051108</td>\n",
       "      <td>ENSG00000087237</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14548.0</td>\n",
       "      <td>2511.0</td>\n",
       "      <td>rs3764261-?</td>\n",
       "      <td>rs3764261</td>\n",
       "      <td>0</td>\n",
       "      <td>3764261.0</td>\n",
       "      <td>regulatory_region_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>1.000000e-27</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>(HDL cholesterol)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [308067]</td>\n",
       "      <td>N</td>\n",
       "      <td>High density lipoprotein cholesterol measurement</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0004612</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>4</td>\n",
       "      <td>rs3764261</td>\n",
       "      <td>16_56959412_C_A</td>\n",
       "      <td>0.235714</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000140853</td>\n",
       "      <td>NLRC5</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>NLR family CARD domain containing 5 [Source:HG...</td>\n",
       "      <td>16</td>\n",
       "      <td>56989485.0</td>\n",
       "      <td>56989485.0</td>\n",
       "      <td>57083531.0</td>\n",
       "      <td>True</td>\n",
       "      <td>[57079221, 57079292, 57079050, 57079133, 57077...</td>\n",
       "      <td>(NLRC5, 16_56959412_C_A)</td>\n",
       "      <td>(ENSG00000140853, 16_56959412_C_A)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000184</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18454146</td>\n",
       "      <td>Chambers JC</td>\n",
       "      <td>2008-05-04</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18454146</td>\n",
       "      <td>Common genetic variation near MC4R is associat...</td>\n",
       "      <td>Waist circumference and related phenotypes</td>\n",
       "      <td>2,684 Indian Asian ancestry male individuals</td>\n",
       "      <td>7,394 Indian Asian ancestry individuals, 4,561...</td>\n",
       "      <td>2p23.3</td>\n",
       "      <td>2</td>\n",
       "      <td>27508073</td>\n",
       "      <td>GCKR</td>\n",
       "      <td>GCKR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ENSG00000084734</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>rs1260326-?</td>\n",
       "      <td>rs1260326</td>\n",
       "      <td>0</td>\n",
       "      <td>1260326.0</td>\n",
       "      <td>missense_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>4.000000e-08</td>\n",
       "      <td>7.397940</td>\n",
       "      <td>(triglycerides)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [308067]</td>\n",
       "      <td>N</td>\n",
       "      <td>Triglyceride measurement</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0004530</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>4</td>\n",
       "      <td>rs1260326</td>\n",
       "      <td>2_27508073_T_C</td>\n",
       "      <td>0.308242</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000084734</td>\n",
       "      <td>GCKR</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>glucokinase regulator [Source:HGNC Symbol;Acc:...</td>\n",
       "      <td>2</td>\n",
       "      <td>27496839.0</td>\n",
       "      <td>27496839.0</td>\n",
       "      <td>27523684.0</td>\n",
       "      <td>True</td>\n",
       "      <td>[27523269, 27523684, 27522460, 27522594, 27518...</td>\n",
       "      <td>(GCKR, 2_27508073_T_C)</td>\n",
       "      <td>(ENSG00000084734, 2_27508073_T_C)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST012179</th>\n",
       "      <td>2021-08-13</td>\n",
       "      <td>34302048</td>\n",
       "      <td>Qu HQ</td>\n",
       "      <td>2021-07-23</td>\n",
       "      <td>Commun Biol</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34302048</td>\n",
       "      <td>Genetic architecture of type 1 diabetes with l...</td>\n",
       "      <td>Type 1 diabetes</td>\n",
       "      <td>6,599 European ancestry cases, 12,323 European...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr8:56693303-ATT</td>\n",
       "      <td>chr8:56693303</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>4.000000e-10</td>\n",
       "      <td>9.397940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.2190</td>\n",
       "      <td>[1.146-1.297]</td>\n",
       "      <td>Illumina [104689647] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>Type I diabetes mellitus</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0001359</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>113</td>\n",
       "      <td>chr8:56693303</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST012179</th>\n",
       "      <td>2021-08-13</td>\n",
       "      <td>34302048</td>\n",
       "      <td>Qu HQ</td>\n",
       "      <td>2021-07-23</td>\n",
       "      <td>Commun Biol</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34302048</td>\n",
       "      <td>Genetic architecture of type 1 diabetes with l...</td>\n",
       "      <td>Type 1 diabetes</td>\n",
       "      <td>6,599 European ancestry cases, 12,323 European...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr4:92954497-G</td>\n",
       "      <td>chr4:92954497</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>7.000000e-09</td>\n",
       "      <td>8.154902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.2180</td>\n",
       "      <td>[1.139-1.302]</td>\n",
       "      <td>Illumina [104689647] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>Type I diabetes mellitus</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0001359</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>113</td>\n",
       "      <td>chr4:92954497</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST012179</th>\n",
       "      <td>2021-08-13</td>\n",
       "      <td>34302048</td>\n",
       "      <td>Qu HQ</td>\n",
       "      <td>2021-07-23</td>\n",
       "      <td>Commun Biol</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34302048</td>\n",
       "      <td>Genetic architecture of type 1 diabetes with l...</td>\n",
       "      <td>Type 1 diabetes</td>\n",
       "      <td>6,599 European ancestry cases, 12,323 European...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr1:37781423-G</td>\n",
       "      <td>chr1:37781423</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>6.000000e-16</td>\n",
       "      <td>15.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.2070</td>\n",
       "      <td>[1.153-1.263]</td>\n",
       "      <td>Illumina [104689647] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>Type I diabetes mellitus</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0001359</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>113</td>\n",
       "      <td>chr1:37781423</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST012179</th>\n",
       "      <td>2021-08-13</td>\n",
       "      <td>34302048</td>\n",
       "      <td>Qu HQ</td>\n",
       "      <td>2021-07-23</td>\n",
       "      <td>Commun Biol</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34302048</td>\n",
       "      <td>Genetic architecture of type 1 diabetes with l...</td>\n",
       "      <td>Type 1 diabetes</td>\n",
       "      <td>6,599 European ancestry cases, 12,323 European...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr12:65543332-G</td>\n",
       "      <td>chr12:65543332</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>1.000000e-09</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.1990</td>\n",
       "      <td>[1.131-1.272]</td>\n",
       "      <td>Illumina [104689647] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>Type I diabetes mellitus</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0001359</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>113</td>\n",
       "      <td>chr12:65543332</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST90000181</th>\n",
       "      <td>2021-08-13</td>\n",
       "      <td>34302048</td>\n",
       "      <td>Qu HQ</td>\n",
       "      <td>2021-07-23</td>\n",
       "      <td>Commun Biol</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34302048</td>\n",
       "      <td>Genetic architecture of type 1 diabetes with l...</td>\n",
       "      <td>Type 1 diabetes with low genetic risk score</td>\n",
       "      <td>957 European ancestry cases, 12,323 European a...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr2:134846613-C</td>\n",
       "      <td>chr2:134846613</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>2.000000e-13</td>\n",
       "      <td>12.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.7009</td>\n",
       "      <td>[0.6375-0.7705]</td>\n",
       "      <td>Illumina [104689647] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>Type I diabetes mellitus</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0001359</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>149</td>\n",
       "      <td>chr2:134846613</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24852 rows × 57 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                DATE ADDED TO CATALOG  PUBMEDID FIRST AUTHOR        DATE  \\\n",
       "STUDY ACCESSION                                                            \n",
       "GCST000189                 2008-06-22  18464913     Melzer D  2008-05-09   \n",
       "GCST000189                 2008-06-22  18464913     Melzer D  2008-05-09   \n",
       "GCST000189                 2008-06-22  18464913     Melzer D  2008-05-09   \n",
       "GCST000184                 2008-06-22  18454146  Chambers JC  2008-05-04   \n",
       "GCST000184                 2008-06-22  18454146  Chambers JC  2008-05-04   \n",
       "...                               ...       ...          ...         ...   \n",
       "GCST012179                 2021-08-13  34302048        Qu HQ  2021-07-23   \n",
       "GCST012179                 2021-08-13  34302048        Qu HQ  2021-07-23   \n",
       "GCST012179                 2021-08-13  34302048        Qu HQ  2021-07-23   \n",
       "GCST012179                 2021-08-13  34302048        Qu HQ  2021-07-23   \n",
       "GCST90000181               2021-08-13  34302048        Qu HQ  2021-07-23   \n",
       "\n",
       "                     JOURNAL                                  LINK  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000189        PLoS Genet  www.ncbi.nlm.nih.gov/pubmed/18464913   \n",
       "GCST000189        PLoS Genet  www.ncbi.nlm.nih.gov/pubmed/18464913   \n",
       "GCST000189        PLoS Genet  www.ncbi.nlm.nih.gov/pubmed/18464913   \n",
       "GCST000184         Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18454146   \n",
       "GCST000184         Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18454146   \n",
       "...                      ...                                   ...   \n",
       "GCST012179       Commun Biol  www.ncbi.nlm.nih.gov/pubmed/34302048   \n",
       "GCST012179       Commun Biol  www.ncbi.nlm.nih.gov/pubmed/34302048   \n",
       "GCST012179       Commun Biol  www.ncbi.nlm.nih.gov/pubmed/34302048   \n",
       "GCST012179       Commun Biol  www.ncbi.nlm.nih.gov/pubmed/34302048   \n",
       "GCST90000181     Commun Biol  www.ncbi.nlm.nih.gov/pubmed/34302048   \n",
       "\n",
       "                                                             STUDY  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000189       A genome-wide association study identifies pro...   \n",
       "GCST000189       A genome-wide association study identifies pro...   \n",
       "GCST000189       A genome-wide association study identifies pro...   \n",
       "GCST000184       Common genetic variation near MC4R is associat...   \n",
       "GCST000184       Common genetic variation near MC4R is associat...   \n",
       "...                                                            ...   \n",
       "GCST012179       Genetic architecture of type 1 diabetes with l...   \n",
       "GCST012179       Genetic architecture of type 1 diabetes with l...   \n",
       "GCST012179       Genetic architecture of type 1 diabetes with l...   \n",
       "GCST012179       Genetic architecture of type 1 diabetes with l...   \n",
       "GCST90000181     Genetic architecture of type 1 diabetes with l...   \n",
       "\n",
       "                                               DISEASE/TRAIT  \\\n",
       "STUDY ACCESSION                                                \n",
       "GCST000189                   Protein quantitative trait loci   \n",
       "GCST000189                   Protein quantitative trait loci   \n",
       "GCST000189                   Protein quantitative trait loci   \n",
       "GCST000184        Waist circumference and related phenotypes   \n",
       "GCST000184        Waist circumference and related phenotypes   \n",
       "...                                                      ...   \n",
       "GCST012179                                   Type 1 diabetes   \n",
       "GCST012179                                   Type 1 diabetes   \n",
       "GCST012179                                   Type 1 diabetes   \n",
       "GCST012179                                   Type 1 diabetes   \n",
       "GCST90000181     Type 1 diabetes with low genetic risk score   \n",
       "\n",
       "                                               INITIAL SAMPLE SIZE  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000189                     1,200 European ancestry individuals   \n",
       "GCST000189                     1,200 European ancestry individuals   \n",
       "GCST000189                     1,200 European ancestry individuals   \n",
       "GCST000184            2,684 Indian Asian ancestry male individuals   \n",
       "GCST000184            2,684 Indian Asian ancestry male individuals   \n",
       "...                                                            ...   \n",
       "GCST012179       6,599 European ancestry cases, 12,323 European...   \n",
       "GCST012179       6,599 European ancestry cases, 12,323 European...   \n",
       "GCST012179       6,599 European ancestry cases, 12,323 European...   \n",
       "GCST012179       6,599 European ancestry cases, 12,323 European...   \n",
       "GCST90000181     957 European ancestry cases, 12,323 European a...   \n",
       "\n",
       "                                           REPLICATION SAMPLE SIZE  REGION  \\\n",
       "STUDY ACCESSION                                                              \n",
       "GCST000189               up to 4,590 European ancestry individuals   17q12   \n",
       "GCST000189               up to 4,590 European ancestry individuals  6q25.3   \n",
       "GCST000189               up to 4,590 European ancestry individuals  9q34.2   \n",
       "GCST000184       7,394 Indian Asian ancestry individuals, 4,561...   16q13   \n",
       "GCST000184       7,394 Indian Asian ancestry individuals, 4,561...  2p23.3   \n",
       "...                                                            ...     ...   \n",
       "GCST012179                                                     NaN     NaN   \n",
       "GCST012179                                                     NaN     NaN   \n",
       "GCST012179                                                     NaN     NaN   \n",
       "GCST012179                                                     NaN     NaN   \n",
       "GCST90000181                                                   NaN     NaN   \n",
       "\n",
       "                CHR_ID    CHR_POS REPORTED GENE(S)       MAPPED_GENE  \\\n",
       "STUDY ACCESSION                                                        \n",
       "GCST000189          17   36463349           CCL4L2  TBC1D3J - ZNHIT3   \n",
       "GCST000189           6  160597142              LPA               LPA   \n",
       "GCST000189           9  133273813              ABO          ABO, ABO   \n",
       "GCST000184          16   56959412             CETP    HERPUD1 - CETP   \n",
       "GCST000184           2   27508073             GCKR              GCKR   \n",
       "...                ...        ...              ...               ...   \n",
       "GCST012179         NaN        NaN               NR               NaN   \n",
       "GCST012179         NaN        NaN               NR               NaN   \n",
       "GCST012179         NaN        NaN               NR               NaN   \n",
       "GCST012179         NaN        NaN               NR               NaN   \n",
       "GCST90000181       NaN        NaN               NR               NaN   \n",
       "\n",
       "                UPSTREAM_GENE_ID DOWNSTREAM_GENE_ID  \\\n",
       "STUDY ACCESSION                                       \n",
       "GCST000189       ENSG00000282656    ENSG00000273611   \n",
       "GCST000189                   NaN                NaN   \n",
       "GCST000189                   NaN                NaN   \n",
       "GCST000184       ENSG00000051108    ENSG00000087237   \n",
       "GCST000184                   NaN                NaN   \n",
       "...                          ...                ...   \n",
       "GCST012179                   NaN                NaN   \n",
       "GCST012179                   NaN                NaN   \n",
       "GCST012179                   NaN                NaN   \n",
       "GCST012179                   NaN                NaN   \n",
       "GCST90000181                 NaN                NaN   \n",
       "\n",
       "                                     SNP_GENE_IDS  UPSTREAM_GENE_DISTANCE  \\\n",
       "STUDY ACCESSION                                                             \n",
       "GCST000189                                    NaN                  5814.0   \n",
       "GCST000189                        ENSG00000198670                     NaN   \n",
       "GCST000189       ENSG00000175164, ENSG00000281879                     NaN   \n",
       "GCST000184                                    NaN                 14548.0   \n",
       "GCST000184                        ENSG00000084734                     NaN   \n",
       "...                                           ...                     ...   \n",
       "GCST012179                                    NaN                     NaN   \n",
       "GCST012179                                    NaN                     NaN   \n",
       "GCST012179                                    NaN                     NaN   \n",
       "GCST012179                                    NaN                     NaN   \n",
       "GCST90000181                                  NaN                     NaN   \n",
       "\n",
       "                 DOWNSTREAM_GENE_DISTANCE STRONGEST SNP-RISK ALLELE  \\\n",
       "STUDY ACCESSION                                                       \n",
       "GCST000189                        23280.0               rs4796217-?   \n",
       "GCST000189                            NaN               rs7770628-?   \n",
       "GCST000189                            NaN                rs505922-?   \n",
       "GCST000184                         2511.0               rs3764261-?   \n",
       "GCST000184                            NaN               rs1260326-?   \n",
       "...                                   ...                       ...   \n",
       "GCST012179                            NaN         chr8:56693303-ATT   \n",
       "GCST012179                            NaN           chr4:92954497-G   \n",
       "GCST012179                            NaN           chr1:37781423-G   \n",
       "GCST012179                            NaN          chr12:65543332-G   \n",
       "GCST90000181                          NaN          chr2:134846613-C   \n",
       "\n",
       "                           SNPS  MERGED SNP_ID_CURRENT  \\\n",
       "STUDY ACCESSION                                          \n",
       "GCST000189            rs4796217       0      4796217.0   \n",
       "GCST000189            rs7770628       0      7770628.0   \n",
       "GCST000189             rs505922       0       505922.0   \n",
       "GCST000184            rs3764261       0      3764261.0   \n",
       "GCST000184            rs1260326       0      1260326.0   \n",
       "...                         ...     ...            ...   \n",
       "GCST012179        chr8:56693303       0            NaN   \n",
       "GCST012179        chr4:92954497       0            NaN   \n",
       "GCST012179        chr1:37781423       0            NaN   \n",
       "GCST012179       chr12:65543332       0            NaN   \n",
       "GCST90000181     chr2:134846613       0            NaN   \n",
       "\n",
       "                                   CONTEXT  INTERGENIC RISK ALLELE FREQUENCY  \\\n",
       "STUDY ACCESSION                                                                \n",
       "GCST000189       regulatory_region_variant         1.0                  0.34   \n",
       "GCST000189                  intron_variant         0.0                  0.49   \n",
       "GCST000189                  intron_variant         0.0                  0.34   \n",
       "GCST000184       regulatory_region_variant         1.0                    NR   \n",
       "GCST000184                missense_variant         0.0                    NR   \n",
       "...                                    ...         ...                   ...   \n",
       "GCST012179                             NaN         1.0                    NR   \n",
       "GCST012179                             NaN         1.0                    NR   \n",
       "GCST012179                             NaN         1.0                    NR   \n",
       "GCST012179                             NaN         1.0                    NR   \n",
       "GCST90000181                           NaN         1.0                    NR   \n",
       "\n",
       "                      P-VALUE  PVALUE_MLOG     P-VALUE (TEXT)  OR or BETA  \\\n",
       "STUDY ACCESSION                                                             \n",
       "GCST000189       4.000000e-21    20.397940             (MIPb)         NaN   \n",
       "GCST000189       4.000000e-10     9.397940              (LPA)         NaN   \n",
       "GCST000189       7.000000e-40    39.154902             (TNFA)         NaN   \n",
       "GCST000184       1.000000e-27    27.000000  (HDL cholesterol)         NaN   \n",
       "GCST000184       4.000000e-08     7.397940    (triglycerides)         NaN   \n",
       "...                       ...          ...                ...         ...   \n",
       "GCST012179       4.000000e-10     9.397940                NaN      1.2190   \n",
       "GCST012179       7.000000e-09     8.154902                NaN      1.2180   \n",
       "GCST012179       6.000000e-16    15.221849                NaN      1.2070   \n",
       "GCST012179       1.000000e-09     9.000000                NaN      1.1990   \n",
       "GCST90000181     2.000000e-13    12.698970                NaN      0.7009   \n",
       "\n",
       "                   95% CI (TEXT)      PLATFORM [SNPS PASSING QC] CNV  \\\n",
       "STUDY ACCESSION                                                        \n",
       "GCST000189                   NaN               Illumina [496032]   N   \n",
       "GCST000189                   NaN               Illumina [496032]   N   \n",
       "GCST000189                   NaN               Illumina [496032]   N   \n",
       "GCST000184                   NaN               Illumina [308067]   N   \n",
       "GCST000184                   NaN               Illumina [308067]   N   \n",
       "...                          ...                             ...  ..   \n",
       "GCST012179         [1.146-1.297]  Illumina [104689647] (imputed)   N   \n",
       "GCST012179         [1.139-1.302]  Illumina [104689647] (imputed)   N   \n",
       "GCST012179         [1.153-1.263]  Illumina [104689647] (imputed)   N   \n",
       "GCST012179         [1.131-1.272]  Illumina [104689647] (imputed)   N   \n",
       "GCST90000181     [0.6375-0.7705]  Illumina [104689647] (imputed)   N   \n",
       "\n",
       "                                                     MAPPED_TRAIT  \\\n",
       "STUDY ACCESSION                                                     \n",
       "GCST000189                                       CCL4 measurement   \n",
       "GCST000189                         Apolipoprotein A 1 measurement   \n",
       "GCST000189                Tumor necrosis factor-alpha measurement   \n",
       "GCST000184       High density lipoprotein cholesterol measurement   \n",
       "GCST000184                               Triglyceride measurement   \n",
       "...                                                           ...   \n",
       "GCST012179                               Type I diabetes mellitus   \n",
       "GCST012179                               Type I diabetes mellitus   \n",
       "GCST012179                               Type I diabetes mellitus   \n",
       "GCST012179                               Type I diabetes mellitus   \n",
       "GCST90000181                             Type I diabetes mellitus   \n",
       "\n",
       "                                     MAPPED_TRAIT_URI  \\\n",
       "STUDY ACCESSION                                         \n",
       "GCST000189       http://www.ebi.ac.uk/efo/EFO_0004751   \n",
       "GCST000189       http://www.ebi.ac.uk/efo/EFO_0004614   \n",
       "GCST000189       http://www.ebi.ac.uk/efo/EFO_0004684   \n",
       "GCST000184       http://www.ebi.ac.uk/efo/EFO_0004612   \n",
       "GCST000184       http://www.ebi.ac.uk/efo/EFO_0004530   \n",
       "...                                               ...   \n",
       "GCST012179       http://www.ebi.ac.uk/efo/EFO_0001359   \n",
       "GCST012179       http://www.ebi.ac.uk/efo/EFO_0001359   \n",
       "GCST012179       http://www.ebi.ac.uk/efo/EFO_0001359   \n",
       "GCST012179       http://www.ebi.ac.uk/efo/EFO_0001359   \n",
       "GCST90000181     http://www.ebi.ac.uk/efo/EFO_0001359   \n",
       "\n",
       "                        GENOTYPING TECHNOLOGY  ASSOCIATION COUNT  \\\n",
       "STUDY ACCESSION                                                    \n",
       "GCST000189       Genome-wide genotyping array                 49   \n",
       "GCST000189       Genome-wide genotyping array                 49   \n",
       "GCST000189       Genome-wide genotyping array                 49   \n",
       "GCST000184       Genome-wide genotyping array                  4   \n",
       "GCST000184       Genome-wide genotyping array                  4   \n",
       "...                                       ...                ...   \n",
       "GCST012179       Genome-wide genotyping array                113   \n",
       "GCST012179       Genome-wide genotyping array                113   \n",
       "GCST012179       Genome-wide genotyping array                113   \n",
       "GCST012179       Genome-wide genotyping array                113   \n",
       "GCST90000181     Genome-wide genotyping array                149   \n",
       "\n",
       "                           rsid   otg_variant_id  overallScore  \\\n",
       "STUDY ACCESSION                                                  \n",
       "GCST000189            rs4796217              NaN           NaN   \n",
       "GCST000189            rs7770628              NaN           NaN   \n",
       "GCST000189             rs505922  9_133273813_T_C      0.299451   \n",
       "GCST000184            rs3764261  16_56959412_C_A      0.235714   \n",
       "GCST000184            rs1260326   2_27508073_T_C      0.308242   \n",
       "...                         ...              ...           ...   \n",
       "GCST012179        chr8:56693303              NaN           NaN   \n",
       "GCST012179        chr4:92954497              NaN           NaN   \n",
       "GCST012179        chr1:37781423              NaN           NaN   \n",
       "GCST012179       chr12:65543332              NaN           NaN   \n",
       "GCST90000181     chr2:134846613              NaN           NaN   \n",
       "\n",
       "                                                              qtls intervals  \\\n",
       "STUDY ACCESSION                                                                \n",
       "GCST000189                                                     NaN       NaN   \n",
       "GCST000189                                                     NaN       NaN   \n",
       "GCST000189       [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...        []   \n",
       "GCST000184       [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...        []   \n",
       "GCST000184       [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...        []   \n",
       "...                                                            ...       ...   \n",
       "GCST012179                                                     NaN       NaN   \n",
       "GCST012179                                                     NaN       NaN   \n",
       "GCST012179                                                     NaN       NaN   \n",
       "GCST012179                                                     NaN       NaN   \n",
       "GCST90000181                                                   NaN       NaN   \n",
       "\n",
       "                                             functionalPredictions  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000189                                                     NaN   \n",
       "GCST000189                                                     NaN   \n",
       "GCST000189       [{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...   \n",
       "GCST000184                                                      []   \n",
       "GCST000184       [{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...   \n",
       "...                                                            ...   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST90000181                                                   NaN   \n",
       "\n",
       "                                                         distances  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000189                                                     NaN   \n",
       "GCST000189                                                     NaN   \n",
       "GCST000189       [{'typeId': 'distance', 'sourceId': 'canonical...   \n",
       "GCST000184       [{'typeId': 'distance', 'sourceId': 'canonical...   \n",
       "GCST000184       [{'typeId': 'distance', 'sourceId': 'canonical...   \n",
       "...                                                            ...   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST90000181                                                   NaN   \n",
       "\n",
       "                 otg_v2g_gene_id otg_v2g_gene_symbol    gene_bioType  \\\n",
       "STUDY ACCESSION                                                        \n",
       "GCST000189                   NaN                 NaN             NaN   \n",
       "GCST000189                   NaN                 NaN             NaN   \n",
       "GCST000189       ENSG00000175164                 ABO  protein_coding   \n",
       "GCST000184       ENSG00000140853               NLRC5  protein_coding   \n",
       "GCST000184       ENSG00000084734                GCKR  protein_coding   \n",
       "...                          ...                 ...             ...   \n",
       "GCST012179                   NaN                 NaN             NaN   \n",
       "GCST012179                   NaN                 NaN             NaN   \n",
       "GCST012179                   NaN                 NaN             NaN   \n",
       "GCST012179                   NaN                 NaN             NaN   \n",
       "GCST90000181                 NaN                 NaN             NaN   \n",
       "\n",
       "                                                  gene_description  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000189                                                     NaN   \n",
       "GCST000189                                                     NaN   \n",
       "GCST000189       ABO, alpha 1-3-N-acetylgalactosaminyltransfera...   \n",
       "GCST000184       NLR family CARD domain containing 5 [Source:HG...   \n",
       "GCST000184       glucokinase regulator [Source:HGNC Symbol;Acc:...   \n",
       "...                                                            ...   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST90000181                                                   NaN   \n",
       "\n",
       "                gene_chromosome     gene_tss   gene_start     gene_end  \\\n",
       "STUDY ACCESSION                                                          \n",
       "GCST000189                  NaN          NaN          NaN          NaN   \n",
       "GCST000189                  NaN          NaN          NaN          NaN   \n",
       "GCST000189                    9  133276024.0  133250401.0  133276024.0   \n",
       "GCST000184                   16   56989485.0   56989485.0   57083531.0   \n",
       "GCST000184                    2   27496839.0   27496839.0   27523684.0   \n",
       "...                         ...          ...          ...          ...   \n",
       "GCST012179                  NaN          NaN          NaN          NaN   \n",
       "GCST012179                  NaN          NaN          NaN          NaN   \n",
       "GCST012179                  NaN          NaN          NaN          NaN   \n",
       "GCST012179                  NaN          NaN          NaN          NaN   \n",
       "GCST90000181                NaN          NaN          NaN          NaN   \n",
       "\n",
       "                gene_fwdStrand  \\\n",
       "STUDY ACCESSION                  \n",
       "GCST000189                 NaN   \n",
       "GCST000189                 NaN   \n",
       "GCST000189               False   \n",
       "GCST000184                True   \n",
       "GCST000184                True   \n",
       "...                        ...   \n",
       "GCST012179                 NaN   \n",
       "GCST012179                 NaN   \n",
       "GCST012179                 NaN   \n",
       "GCST012179                 NaN   \n",
       "GCST90000181               NaN   \n",
       "\n",
       "                                                        gene_exons  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000189                                                     NaN   \n",
       "GCST000189                                                     NaN   \n",
       "GCST000189       [133255602, 133255670, 133255675, 133256356, 1...   \n",
       "GCST000184       [57079221, 57079292, 57079050, 57079133, 57077...   \n",
       "GCST000184       [27523269, 27523684, 27522460, 27522594, 27518...   \n",
       "...                                                            ...   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST90000181                                                   NaN   \n",
       "\n",
       "                       variant_V2G_symbol                      variant_V2G_id  \n",
       "STUDY ACCESSION                                                                \n",
       "GCST000189                            NaN                                 NaN  \n",
       "GCST000189                            NaN                                 NaN  \n",
       "GCST000189         (ABO, 9_133273813_T_C)  (ENSG00000175164, 9_133273813_T_C)  \n",
       "GCST000184       (NLRC5, 16_56959412_C_A)  (ENSG00000140853, 16_56959412_C_A)  \n",
       "GCST000184         (GCKR, 2_27508073_T_C)   (ENSG00000084734, 2_27508073_T_C)  \n",
       "...                                   ...                                 ...  \n",
       "GCST012179                            NaN                                 NaN  \n",
       "GCST012179                            NaN                                 NaN  \n",
       "GCST012179                            NaN                                 NaN  \n",
       "GCST012179                            NaN                                 NaN  \n",
       "GCST90000181                          NaN                                 NaN  \n",
       "\n",
       "[24852 rows x 57 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#ebi_otg = ebi.reset_index().merge(otg_df.groupby(['id', 'rsid'])[['gene_id', 'gene_symbol', 'variant_V2G_id', 'variant_V2G_symbol']].agg(tuple).reset_index(), how='left').set_index('STUDY ACCESSION').rename(columns={'id': 'otg_variant_id', 'gene_id': 'otg_v2g_gene_id', 'gene_symbol': 'otg_v2g_gene_symbol'})\n",
    "ebi_otg = ebi.reset_index().merge(otg_df, how='left').set_index('STUDY ACCESSION').rename(columns={'id': 'otg_variant_id', 'gene_id': 'otg_v2g_gene_id', 'gene_symbol': 'otg_v2g_gene_symbol'})\n",
    "ebi_otg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "#ebi_otg = ebi.reset_index().merge(otg_df[['id', 'rsid', 'gene_id', 'gene_symbol']], how='left').set_index('STUDY ACCESSION').rename(columns={'id': 'otg_variant_id', 'gene_id': 'otg_v2g_gene_id', 'gene_symbol': 'otg_v2g_gene_symbol'})\n",
    "#ebi_otg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['DATE ADDED TO CATALOG', 'PUBMEDID', 'FIRST AUTHOR', 'DATE', 'JOURNAL',\n",
       "       'LINK', 'STUDY', 'DISEASE/TRAIT', 'INITIAL SAMPLE SIZE',\n",
       "       'REPLICATION SAMPLE SIZE', 'REGION', 'CHR_ID', 'CHR_POS',\n",
       "       'REPORTED GENE(S)', 'MAPPED_GENE', 'UPSTREAM_GENE_ID',\n",
       "       'DOWNSTREAM_GENE_ID', 'SNP_GENE_IDS', 'UPSTREAM_GENE_DISTANCE',\n",
       "       'DOWNSTREAM_GENE_DISTANCE', 'STRONGEST SNP-RISK ALLELE', 'SNPS',\n",
       "       'MERGED', 'SNP_ID_CURRENT', 'CONTEXT', 'INTERGENIC',\n",
       "       'RISK ALLELE FREQUENCY', 'P-VALUE', 'PVALUE_MLOG', 'P-VALUE (TEXT)',\n",
       "       'OR or BETA', '95% CI (TEXT)', 'PLATFORM [SNPS PASSING QC]', 'CNV',\n",
       "       'MAPPED_TRAIT', 'MAPPED_TRAIT_URI', 'GENOTYPING TECHNOLOGY',\n",
       "       'ASSOCIATION COUNT', 'rsid', 'otg_variant_id', 'overallScore', 'qtls',\n",
       "       'intervals', 'functionalPredictions', 'distances', 'otg_v2g_gene_id',\n",
       "       'otg_v2g_gene_symbol', 'gene_bioType', 'gene_description',\n",
       "       'gene_chromosome', 'gene_tss', 'gene_start', 'gene_end',\n",
       "       'gene_fwdStrand', 'gene_exons', 'variant_V2G_symbol', 'variant_V2G_id'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ebi_otg.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Collapse all variants within each study"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE ADDED TO CATALOG</th>\n",
       "      <th>PUBMEDID</th>\n",
       "      <th>FIRST AUTHOR</th>\n",
       "      <th>DATE</th>\n",
       "      <th>JOURNAL</th>\n",
       "      <th>LINK</th>\n",
       "      <th>STUDY</th>\n",
       "      <th>DISEASE/TRAIT</th>\n",
       "      <th>INITIAL SAMPLE SIZE</th>\n",
       "      <th>REPLICATION SAMPLE SIZE</th>\n",
       "      <th>REGION</th>\n",
       "      <th>CHR_ID</th>\n",
       "      <th>CHR_POS</th>\n",
       "      <th>REPORTED GENE(S)</th>\n",
       "      <th>MAPPED_GENE</th>\n",
       "      <th>UPSTREAM_GENE_ID</th>\n",
       "      <th>DOWNSTREAM_GENE_ID</th>\n",
       "      <th>SNP_GENE_IDS</th>\n",
       "      <th>UPSTREAM_GENE_DISTANCE</th>\n",
       "      <th>DOWNSTREAM_GENE_DISTANCE</th>\n",
       "      <th>STRONGEST SNP-RISK ALLELE</th>\n",
       "      <th>SNPS</th>\n",
       "      <th>MERGED</th>\n",
       "      <th>SNP_ID_CURRENT</th>\n",
       "      <th>CONTEXT</th>\n",
       "      <th>INTERGENIC</th>\n",
       "      <th>RISK ALLELE FREQUENCY</th>\n",
       "      <th>P-VALUE</th>\n",
       "      <th>PVALUE_MLOG</th>\n",
       "      <th>P-VALUE (TEXT)</th>\n",
       "      <th>OR or BETA</th>\n",
       "      <th>95% CI (TEXT)</th>\n",
       "      <th>PLATFORM [SNPS PASSING QC]</th>\n",
       "      <th>CNV</th>\n",
       "      <th>MAPPED_TRAIT</th>\n",
       "      <th>MAPPED_TRAIT_URI</th>\n",
       "      <th>GENOTYPING TECHNOLOGY</th>\n",
       "      <th>ASSOCIATION COUNT</th>\n",
       "      <th>rsid</th>\n",
       "      <th>otg_variant_id</th>\n",
       "      <th>overallScore</th>\n",
       "      <th>qtls</th>\n",
       "      <th>intervals</th>\n",
       "      <th>functionalPredictions</th>\n",
       "      <th>distances</th>\n",
       "      <th>otg_v2g_gene_id</th>\n",
       "      <th>otg_v2g_gene_symbol</th>\n",
       "      <th>gene_bioType</th>\n",
       "      <th>gene_description</th>\n",
       "      <th>gene_chromosome</th>\n",
       "      <th>gene_tss</th>\n",
       "      <th>gene_start</th>\n",
       "      <th>gene_end</th>\n",
       "      <th>gene_fwdStrand</th>\n",
       "      <th>gene_exons</th>\n",
       "      <th>variant_V2G_symbol</th>\n",
       "      <th>variant_V2G_id</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STUDY ACCESSION</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GCST000189</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18464913</td>\n",
       "      <td>Melzer D</td>\n",
       "      <td>2008-05-09</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18464913</td>\n",
       "      <td>A genome-wide association study identifies pro...</td>\n",
       "      <td>Protein quantitative trait loci</td>\n",
       "      <td>1,200 European ancestry individuals</td>\n",
       "      <td>up to 4,590 European ancestry individuals</td>\n",
       "      <td>17q12</td>\n",
       "      <td>17</td>\n",
       "      <td>36463349</td>\n",
       "      <td>CCL4L2</td>\n",
       "      <td>TBC1D3J - ZNHIT3</td>\n",
       "      <td>ENSG00000282656</td>\n",
       "      <td>ENSG00000273611</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5814.0</td>\n",
       "      <td>23280.0</td>\n",
       "      <td>rs4796217-?</td>\n",
       "      <td>rs4796217</td>\n",
       "      <td>0</td>\n",
       "      <td>4796217.0</td>\n",
       "      <td>regulatory_region_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.34</td>\n",
       "      <td>4.000000e-21</td>\n",
       "      <td>20.397940</td>\n",
       "      <td>(MIPb)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [496032]</td>\n",
       "      <td>N</td>\n",
       "      <td>CCL4 measurement</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0004751</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>49</td>\n",
       "      <td>rs4796217</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000189</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18464913</td>\n",
       "      <td>Melzer D</td>\n",
       "      <td>2008-05-09</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18464913</td>\n",
       "      <td>A genome-wide association study identifies pro...</td>\n",
       "      <td>Protein quantitative trait loci</td>\n",
       "      <td>1,200 European ancestry individuals</td>\n",
       "      <td>up to 4,590 European ancestry individuals</td>\n",
       "      <td>6q25.3</td>\n",
       "      <td>6</td>\n",
       "      <td>160597142</td>\n",
       "      <td>LPA</td>\n",
       "      <td>LPA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ENSG00000198670</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>rs7770628-?</td>\n",
       "      <td>rs7770628</td>\n",
       "      <td>0</td>\n",
       "      <td>7770628.0</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.49</td>\n",
       "      <td>4.000000e-10</td>\n",
       "      <td>9.397940</td>\n",
       "      <td>(LPA)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [496032]</td>\n",
       "      <td>N</td>\n",
       "      <td>Apolipoprotein A 1 measurement</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0004614</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>49</td>\n",
       "      <td>rs7770628</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000189</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18464913</td>\n",
       "      <td>Melzer D</td>\n",
       "      <td>2008-05-09</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18464913</td>\n",
       "      <td>A genome-wide association study identifies pro...</td>\n",
       "      <td>Protein quantitative trait loci</td>\n",
       "      <td>1,200 European ancestry individuals</td>\n",
       "      <td>up to 4,590 European ancestry individuals</td>\n",
       "      <td>9q34.2</td>\n",
       "      <td>9</td>\n",
       "      <td>133273813</td>\n",
       "      <td>ABO</td>\n",
       "      <td>ABO, ABO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ENSG00000175164, ENSG00000281879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>rs505922-?</td>\n",
       "      <td>rs505922</td>\n",
       "      <td>0</td>\n",
       "      <td>505922.0</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.34</td>\n",
       "      <td>7.000000e-40</td>\n",
       "      <td>39.154902</td>\n",
       "      <td>(TNFA)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [496032]</td>\n",
       "      <td>N</td>\n",
       "      <td>Tumor necrosis factor-alpha measurement</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0004684</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>49</td>\n",
       "      <td>rs505922</td>\n",
       "      <td>9_133273813_T_C</td>\n",
       "      <td>0.299451</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000175164</td>\n",
       "      <td>ABO</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>ABO, alpha 1-3-N-acetylgalactosaminyltransfera...</td>\n",
       "      <td>9</td>\n",
       "      <td>133276024.0</td>\n",
       "      <td>133250401.0</td>\n",
       "      <td>133276024.0</td>\n",
       "      <td>False</td>\n",
       "      <td>[133255602, 133255670, 133255675, 133256356, 1...</td>\n",
       "      <td>(ABO, 9_133273813_T_C)</td>\n",
       "      <td>(ENSG00000175164, 9_133273813_T_C)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000184</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18454146</td>\n",
       "      <td>Chambers JC</td>\n",
       "      <td>2008-05-04</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18454146</td>\n",
       "      <td>Common genetic variation near MC4R is associat...</td>\n",
       "      <td>Waist circumference and related phenotypes</td>\n",
       "      <td>2,684 Indian Asian ancestry male individuals</td>\n",
       "      <td>7,394 Indian Asian ancestry individuals, 4,561...</td>\n",
       "      <td>16q13</td>\n",
       "      <td>16</td>\n",
       "      <td>56959412</td>\n",
       "      <td>CETP</td>\n",
       "      <td>HERPUD1 - CETP</td>\n",
       "      <td>ENSG00000051108</td>\n",
       "      <td>ENSG00000087237</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14548.0</td>\n",
       "      <td>2511.0</td>\n",
       "      <td>rs3764261-?</td>\n",
       "      <td>rs3764261</td>\n",
       "      <td>0</td>\n",
       "      <td>3764261.0</td>\n",
       "      <td>regulatory_region_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>1.000000e-27</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>(HDL cholesterol)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [308067]</td>\n",
       "      <td>N</td>\n",
       "      <td>High density lipoprotein cholesterol measurement</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0004612</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>4</td>\n",
       "      <td>rs3764261</td>\n",
       "      <td>16_56959412_C_A</td>\n",
       "      <td>0.235714</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000140853</td>\n",
       "      <td>NLRC5</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>NLR family CARD domain containing 5 [Source:HG...</td>\n",
       "      <td>16</td>\n",
       "      <td>56989485.0</td>\n",
       "      <td>56989485.0</td>\n",
       "      <td>57083531.0</td>\n",
       "      <td>True</td>\n",
       "      <td>[57079221, 57079292, 57079050, 57079133, 57077...</td>\n",
       "      <td>(NLRC5, 16_56959412_C_A)</td>\n",
       "      <td>(ENSG00000140853, 16_56959412_C_A)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000184</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18454146</td>\n",
       "      <td>Chambers JC</td>\n",
       "      <td>2008-05-04</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18454146</td>\n",
       "      <td>Common genetic variation near MC4R is associat...</td>\n",
       "      <td>Waist circumference and related phenotypes</td>\n",
       "      <td>2,684 Indian Asian ancestry male individuals</td>\n",
       "      <td>7,394 Indian Asian ancestry individuals, 4,561...</td>\n",
       "      <td>2p23.3</td>\n",
       "      <td>2</td>\n",
       "      <td>27508073</td>\n",
       "      <td>GCKR</td>\n",
       "      <td>GCKR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ENSG00000084734</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>rs1260326-?</td>\n",
       "      <td>rs1260326</td>\n",
       "      <td>0</td>\n",
       "      <td>1260326.0</td>\n",
       "      <td>missense_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>4.000000e-08</td>\n",
       "      <td>7.397940</td>\n",
       "      <td>(triglycerides)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [308067]</td>\n",
       "      <td>N</td>\n",
       "      <td>Triglyceride measurement</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0004530</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>4</td>\n",
       "      <td>rs1260326</td>\n",
       "      <td>2_27508073_T_C</td>\n",
       "      <td>0.308242</td>\n",
       "      <td>[{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...</td>\n",
       "      <td>[{'typeId': 'distance', 'sourceId': 'canonical...</td>\n",
       "      <td>ENSG00000084734</td>\n",
       "      <td>GCKR</td>\n",
       "      <td>protein_coding</td>\n",
       "      <td>glucokinase regulator [Source:HGNC Symbol;Acc:...</td>\n",
       "      <td>2</td>\n",
       "      <td>27496839.0</td>\n",
       "      <td>27496839.0</td>\n",
       "      <td>27523684.0</td>\n",
       "      <td>True</td>\n",
       "      <td>[27523269, 27523684, 27522460, 27522594, 27518...</td>\n",
       "      <td>(GCKR, 2_27508073_T_C)</td>\n",
       "      <td>(ENSG00000084734, 2_27508073_T_C)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST012179</th>\n",
       "      <td>2021-08-13</td>\n",
       "      <td>34302048</td>\n",
       "      <td>Qu HQ</td>\n",
       "      <td>2021-07-23</td>\n",
       "      <td>Commun Biol</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34302048</td>\n",
       "      <td>Genetic architecture of type 1 diabetes with l...</td>\n",
       "      <td>Type 1 diabetes</td>\n",
       "      <td>6,599 European ancestry cases, 12,323 European...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr8:56693303-ATT</td>\n",
       "      <td>chr8:56693303</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>4.000000e-10</td>\n",
       "      <td>9.397940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.2190</td>\n",
       "      <td>[1.146-1.297]</td>\n",
       "      <td>Illumina [104689647] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>Type I diabetes mellitus</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0001359</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>113</td>\n",
       "      <td>chr8:56693303</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST012179</th>\n",
       "      <td>2021-08-13</td>\n",
       "      <td>34302048</td>\n",
       "      <td>Qu HQ</td>\n",
       "      <td>2021-07-23</td>\n",
       "      <td>Commun Biol</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34302048</td>\n",
       "      <td>Genetic architecture of type 1 diabetes with l...</td>\n",
       "      <td>Type 1 diabetes</td>\n",
       "      <td>6,599 European ancestry cases, 12,323 European...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr4:92954497-G</td>\n",
       "      <td>chr4:92954497</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>7.000000e-09</td>\n",
       "      <td>8.154902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.2180</td>\n",
       "      <td>[1.139-1.302]</td>\n",
       "      <td>Illumina [104689647] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>Type I diabetes mellitus</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0001359</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>113</td>\n",
       "      <td>chr4:92954497</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST012179</th>\n",
       "      <td>2021-08-13</td>\n",
       "      <td>34302048</td>\n",
       "      <td>Qu HQ</td>\n",
       "      <td>2021-07-23</td>\n",
       "      <td>Commun Biol</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34302048</td>\n",
       "      <td>Genetic architecture of type 1 diabetes with l...</td>\n",
       "      <td>Type 1 diabetes</td>\n",
       "      <td>6,599 European ancestry cases, 12,323 European...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr1:37781423-G</td>\n",
       "      <td>chr1:37781423</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>6.000000e-16</td>\n",
       "      <td>15.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.2070</td>\n",
       "      <td>[1.153-1.263]</td>\n",
       "      <td>Illumina [104689647] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>Type I diabetes mellitus</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0001359</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>113</td>\n",
       "      <td>chr1:37781423</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST012179</th>\n",
       "      <td>2021-08-13</td>\n",
       "      <td>34302048</td>\n",
       "      <td>Qu HQ</td>\n",
       "      <td>2021-07-23</td>\n",
       "      <td>Commun Biol</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34302048</td>\n",
       "      <td>Genetic architecture of type 1 diabetes with l...</td>\n",
       "      <td>Type 1 diabetes</td>\n",
       "      <td>6,599 European ancestry cases, 12,323 European...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr12:65543332-G</td>\n",
       "      <td>chr12:65543332</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>1.000000e-09</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.1990</td>\n",
       "      <td>[1.131-1.272]</td>\n",
       "      <td>Illumina [104689647] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>Type I diabetes mellitus</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0001359</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>113</td>\n",
       "      <td>chr12:65543332</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST90000181</th>\n",
       "      <td>2021-08-13</td>\n",
       "      <td>34302048</td>\n",
       "      <td>Qu HQ</td>\n",
       "      <td>2021-07-23</td>\n",
       "      <td>Commun Biol</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34302048</td>\n",
       "      <td>Genetic architecture of type 1 diabetes with l...</td>\n",
       "      <td>Type 1 diabetes with low genetic risk score</td>\n",
       "      <td>957 European ancestry cases, 12,323 European a...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr2:134846613-C</td>\n",
       "      <td>chr2:134846613</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>2.000000e-13</td>\n",
       "      <td>12.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.7009</td>\n",
       "      <td>[0.6375-0.7705]</td>\n",
       "      <td>Illumina [104689647] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>Type I diabetes mellitus</td>\n",
       "      <td>http://www.ebi.ac.uk/efo/EFO_0001359</td>\n",
       "      <td>Genome-wide genotyping array</td>\n",
       "      <td>149</td>\n",
       "      <td>chr2:134846613</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24852 rows × 57 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                DATE ADDED TO CATALOG  PUBMEDID FIRST AUTHOR        DATE  \\\n",
       "STUDY ACCESSION                                                            \n",
       "GCST000189                 2008-06-22  18464913     Melzer D  2008-05-09   \n",
       "GCST000189                 2008-06-22  18464913     Melzer D  2008-05-09   \n",
       "GCST000189                 2008-06-22  18464913     Melzer D  2008-05-09   \n",
       "GCST000184                 2008-06-22  18454146  Chambers JC  2008-05-04   \n",
       "GCST000184                 2008-06-22  18454146  Chambers JC  2008-05-04   \n",
       "...                               ...       ...          ...         ...   \n",
       "GCST012179                 2021-08-13  34302048        Qu HQ  2021-07-23   \n",
       "GCST012179                 2021-08-13  34302048        Qu HQ  2021-07-23   \n",
       "GCST012179                 2021-08-13  34302048        Qu HQ  2021-07-23   \n",
       "GCST012179                 2021-08-13  34302048        Qu HQ  2021-07-23   \n",
       "GCST90000181               2021-08-13  34302048        Qu HQ  2021-07-23   \n",
       "\n",
       "                     JOURNAL                                  LINK  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000189        PLoS Genet  www.ncbi.nlm.nih.gov/pubmed/18464913   \n",
       "GCST000189        PLoS Genet  www.ncbi.nlm.nih.gov/pubmed/18464913   \n",
       "GCST000189        PLoS Genet  www.ncbi.nlm.nih.gov/pubmed/18464913   \n",
       "GCST000184         Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18454146   \n",
       "GCST000184         Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18454146   \n",
       "...                      ...                                   ...   \n",
       "GCST012179       Commun Biol  www.ncbi.nlm.nih.gov/pubmed/34302048   \n",
       "GCST012179       Commun Biol  www.ncbi.nlm.nih.gov/pubmed/34302048   \n",
       "GCST012179       Commun Biol  www.ncbi.nlm.nih.gov/pubmed/34302048   \n",
       "GCST012179       Commun Biol  www.ncbi.nlm.nih.gov/pubmed/34302048   \n",
       "GCST90000181     Commun Biol  www.ncbi.nlm.nih.gov/pubmed/34302048   \n",
       "\n",
       "                                                             STUDY  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000189       A genome-wide association study identifies pro...   \n",
       "GCST000189       A genome-wide association study identifies pro...   \n",
       "GCST000189       A genome-wide association study identifies pro...   \n",
       "GCST000184       Common genetic variation near MC4R is associat...   \n",
       "GCST000184       Common genetic variation near MC4R is associat...   \n",
       "...                                                            ...   \n",
       "GCST012179       Genetic architecture of type 1 diabetes with l...   \n",
       "GCST012179       Genetic architecture of type 1 diabetes with l...   \n",
       "GCST012179       Genetic architecture of type 1 diabetes with l...   \n",
       "GCST012179       Genetic architecture of type 1 diabetes with l...   \n",
       "GCST90000181     Genetic architecture of type 1 diabetes with l...   \n",
       "\n",
       "                                               DISEASE/TRAIT  \\\n",
       "STUDY ACCESSION                                                \n",
       "GCST000189                   Protein quantitative trait loci   \n",
       "GCST000189                   Protein quantitative trait loci   \n",
       "GCST000189                   Protein quantitative trait loci   \n",
       "GCST000184        Waist circumference and related phenotypes   \n",
       "GCST000184        Waist circumference and related phenotypes   \n",
       "...                                                      ...   \n",
       "GCST012179                                   Type 1 diabetes   \n",
       "GCST012179                                   Type 1 diabetes   \n",
       "GCST012179                                   Type 1 diabetes   \n",
       "GCST012179                                   Type 1 diabetes   \n",
       "GCST90000181     Type 1 diabetes with low genetic risk score   \n",
       "\n",
       "                                               INITIAL SAMPLE SIZE  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000189                     1,200 European ancestry individuals   \n",
       "GCST000189                     1,200 European ancestry individuals   \n",
       "GCST000189                     1,200 European ancestry individuals   \n",
       "GCST000184            2,684 Indian Asian ancestry male individuals   \n",
       "GCST000184            2,684 Indian Asian ancestry male individuals   \n",
       "...                                                            ...   \n",
       "GCST012179       6,599 European ancestry cases, 12,323 European...   \n",
       "GCST012179       6,599 European ancestry cases, 12,323 European...   \n",
       "GCST012179       6,599 European ancestry cases, 12,323 European...   \n",
       "GCST012179       6,599 European ancestry cases, 12,323 European...   \n",
       "GCST90000181     957 European ancestry cases, 12,323 European a...   \n",
       "\n",
       "                                           REPLICATION SAMPLE SIZE  REGION  \\\n",
       "STUDY ACCESSION                                                              \n",
       "GCST000189               up to 4,590 European ancestry individuals   17q12   \n",
       "GCST000189               up to 4,590 European ancestry individuals  6q25.3   \n",
       "GCST000189               up to 4,590 European ancestry individuals  9q34.2   \n",
       "GCST000184       7,394 Indian Asian ancestry individuals, 4,561...   16q13   \n",
       "GCST000184       7,394 Indian Asian ancestry individuals, 4,561...  2p23.3   \n",
       "...                                                            ...     ...   \n",
       "GCST012179                                                     NaN     NaN   \n",
       "GCST012179                                                     NaN     NaN   \n",
       "GCST012179                                                     NaN     NaN   \n",
       "GCST012179                                                     NaN     NaN   \n",
       "GCST90000181                                                   NaN     NaN   \n",
       "\n",
       "                CHR_ID    CHR_POS REPORTED GENE(S)       MAPPED_GENE  \\\n",
       "STUDY ACCESSION                                                        \n",
       "GCST000189          17   36463349           CCL4L2  TBC1D3J - ZNHIT3   \n",
       "GCST000189           6  160597142              LPA               LPA   \n",
       "GCST000189           9  133273813              ABO          ABO, ABO   \n",
       "GCST000184          16   56959412             CETP    HERPUD1 - CETP   \n",
       "GCST000184           2   27508073             GCKR              GCKR   \n",
       "...                ...        ...              ...               ...   \n",
       "GCST012179         NaN        NaN               NR               NaN   \n",
       "GCST012179         NaN        NaN               NR               NaN   \n",
       "GCST012179         NaN        NaN               NR               NaN   \n",
       "GCST012179         NaN        NaN               NR               NaN   \n",
       "GCST90000181       NaN        NaN               NR               NaN   \n",
       "\n",
       "                UPSTREAM_GENE_ID DOWNSTREAM_GENE_ID  \\\n",
       "STUDY ACCESSION                                       \n",
       "GCST000189       ENSG00000282656    ENSG00000273611   \n",
       "GCST000189                   NaN                NaN   \n",
       "GCST000189                   NaN                NaN   \n",
       "GCST000184       ENSG00000051108    ENSG00000087237   \n",
       "GCST000184                   NaN                NaN   \n",
       "...                          ...                ...   \n",
       "GCST012179                   NaN                NaN   \n",
       "GCST012179                   NaN                NaN   \n",
       "GCST012179                   NaN                NaN   \n",
       "GCST012179                   NaN                NaN   \n",
       "GCST90000181                 NaN                NaN   \n",
       "\n",
       "                                     SNP_GENE_IDS  UPSTREAM_GENE_DISTANCE  \\\n",
       "STUDY ACCESSION                                                             \n",
       "GCST000189                                    NaN                  5814.0   \n",
       "GCST000189                        ENSG00000198670                     NaN   \n",
       "GCST000189       ENSG00000175164, ENSG00000281879                     NaN   \n",
       "GCST000184                                    NaN                 14548.0   \n",
       "GCST000184                        ENSG00000084734                     NaN   \n",
       "...                                           ...                     ...   \n",
       "GCST012179                                    NaN                     NaN   \n",
       "GCST012179                                    NaN                     NaN   \n",
       "GCST012179                                    NaN                     NaN   \n",
       "GCST012179                                    NaN                     NaN   \n",
       "GCST90000181                                  NaN                     NaN   \n",
       "\n",
       "                 DOWNSTREAM_GENE_DISTANCE STRONGEST SNP-RISK ALLELE  \\\n",
       "STUDY ACCESSION                                                       \n",
       "GCST000189                        23280.0               rs4796217-?   \n",
       "GCST000189                            NaN               rs7770628-?   \n",
       "GCST000189                            NaN                rs505922-?   \n",
       "GCST000184                         2511.0               rs3764261-?   \n",
       "GCST000184                            NaN               rs1260326-?   \n",
       "...                                   ...                       ...   \n",
       "GCST012179                            NaN         chr8:56693303-ATT   \n",
       "GCST012179                            NaN           chr4:92954497-G   \n",
       "GCST012179                            NaN           chr1:37781423-G   \n",
       "GCST012179                            NaN          chr12:65543332-G   \n",
       "GCST90000181                          NaN          chr2:134846613-C   \n",
       "\n",
       "                           SNPS  MERGED SNP_ID_CURRENT  \\\n",
       "STUDY ACCESSION                                          \n",
       "GCST000189            rs4796217       0      4796217.0   \n",
       "GCST000189            rs7770628       0      7770628.0   \n",
       "GCST000189             rs505922       0       505922.0   \n",
       "GCST000184            rs3764261       0      3764261.0   \n",
       "GCST000184            rs1260326       0      1260326.0   \n",
       "...                         ...     ...            ...   \n",
       "GCST012179        chr8:56693303       0            NaN   \n",
       "GCST012179        chr4:92954497       0            NaN   \n",
       "GCST012179        chr1:37781423       0            NaN   \n",
       "GCST012179       chr12:65543332       0            NaN   \n",
       "GCST90000181     chr2:134846613       0            NaN   \n",
       "\n",
       "                                   CONTEXT  INTERGENIC RISK ALLELE FREQUENCY  \\\n",
       "STUDY ACCESSION                                                                \n",
       "GCST000189       regulatory_region_variant         1.0                  0.34   \n",
       "GCST000189                  intron_variant         0.0                  0.49   \n",
       "GCST000189                  intron_variant         0.0                  0.34   \n",
       "GCST000184       regulatory_region_variant         1.0                    NR   \n",
       "GCST000184                missense_variant         0.0                    NR   \n",
       "...                                    ...         ...                   ...   \n",
       "GCST012179                             NaN         1.0                    NR   \n",
       "GCST012179                             NaN         1.0                    NR   \n",
       "GCST012179                             NaN         1.0                    NR   \n",
       "GCST012179                             NaN         1.0                    NR   \n",
       "GCST90000181                           NaN         1.0                    NR   \n",
       "\n",
       "                      P-VALUE  PVALUE_MLOG     P-VALUE (TEXT)  OR or BETA  \\\n",
       "STUDY ACCESSION                                                             \n",
       "GCST000189       4.000000e-21    20.397940             (MIPb)         NaN   \n",
       "GCST000189       4.000000e-10     9.397940              (LPA)         NaN   \n",
       "GCST000189       7.000000e-40    39.154902             (TNFA)         NaN   \n",
       "GCST000184       1.000000e-27    27.000000  (HDL cholesterol)         NaN   \n",
       "GCST000184       4.000000e-08     7.397940    (triglycerides)         NaN   \n",
       "...                       ...          ...                ...         ...   \n",
       "GCST012179       4.000000e-10     9.397940                NaN      1.2190   \n",
       "GCST012179       7.000000e-09     8.154902                NaN      1.2180   \n",
       "GCST012179       6.000000e-16    15.221849                NaN      1.2070   \n",
       "GCST012179       1.000000e-09     9.000000                NaN      1.1990   \n",
       "GCST90000181     2.000000e-13    12.698970                NaN      0.7009   \n",
       "\n",
       "                   95% CI (TEXT)      PLATFORM [SNPS PASSING QC] CNV  \\\n",
       "STUDY ACCESSION                                                        \n",
       "GCST000189                   NaN               Illumina [496032]   N   \n",
       "GCST000189                   NaN               Illumina [496032]   N   \n",
       "GCST000189                   NaN               Illumina [496032]   N   \n",
       "GCST000184                   NaN               Illumina [308067]   N   \n",
       "GCST000184                   NaN               Illumina [308067]   N   \n",
       "...                          ...                             ...  ..   \n",
       "GCST012179         [1.146-1.297]  Illumina [104689647] (imputed)   N   \n",
       "GCST012179         [1.139-1.302]  Illumina [104689647] (imputed)   N   \n",
       "GCST012179         [1.153-1.263]  Illumina [104689647] (imputed)   N   \n",
       "GCST012179         [1.131-1.272]  Illumina [104689647] (imputed)   N   \n",
       "GCST90000181     [0.6375-0.7705]  Illumina [104689647] (imputed)   N   \n",
       "\n",
       "                                                     MAPPED_TRAIT  \\\n",
       "STUDY ACCESSION                                                     \n",
       "GCST000189                                       CCL4 measurement   \n",
       "GCST000189                         Apolipoprotein A 1 measurement   \n",
       "GCST000189                Tumor necrosis factor-alpha measurement   \n",
       "GCST000184       High density lipoprotein cholesterol measurement   \n",
       "GCST000184                               Triglyceride measurement   \n",
       "...                                                           ...   \n",
       "GCST012179                               Type I diabetes mellitus   \n",
       "GCST012179                               Type I diabetes mellitus   \n",
       "GCST012179                               Type I diabetes mellitus   \n",
       "GCST012179                               Type I diabetes mellitus   \n",
       "GCST90000181                             Type I diabetes mellitus   \n",
       "\n",
       "                                     MAPPED_TRAIT_URI  \\\n",
       "STUDY ACCESSION                                         \n",
       "GCST000189       http://www.ebi.ac.uk/efo/EFO_0004751   \n",
       "GCST000189       http://www.ebi.ac.uk/efo/EFO_0004614   \n",
       "GCST000189       http://www.ebi.ac.uk/efo/EFO_0004684   \n",
       "GCST000184       http://www.ebi.ac.uk/efo/EFO_0004612   \n",
       "GCST000184       http://www.ebi.ac.uk/efo/EFO_0004530   \n",
       "...                                               ...   \n",
       "GCST012179       http://www.ebi.ac.uk/efo/EFO_0001359   \n",
       "GCST012179       http://www.ebi.ac.uk/efo/EFO_0001359   \n",
       "GCST012179       http://www.ebi.ac.uk/efo/EFO_0001359   \n",
       "GCST012179       http://www.ebi.ac.uk/efo/EFO_0001359   \n",
       "GCST90000181     http://www.ebi.ac.uk/efo/EFO_0001359   \n",
       "\n",
       "                        GENOTYPING TECHNOLOGY  ASSOCIATION COUNT  \\\n",
       "STUDY ACCESSION                                                    \n",
       "GCST000189       Genome-wide genotyping array                 49   \n",
       "GCST000189       Genome-wide genotyping array                 49   \n",
       "GCST000189       Genome-wide genotyping array                 49   \n",
       "GCST000184       Genome-wide genotyping array                  4   \n",
       "GCST000184       Genome-wide genotyping array                  4   \n",
       "...                                       ...                ...   \n",
       "GCST012179       Genome-wide genotyping array                113   \n",
       "GCST012179       Genome-wide genotyping array                113   \n",
       "GCST012179       Genome-wide genotyping array                113   \n",
       "GCST012179       Genome-wide genotyping array                113   \n",
       "GCST90000181     Genome-wide genotyping array                149   \n",
       "\n",
       "                           rsid   otg_variant_id  overallScore  \\\n",
       "STUDY ACCESSION                                                  \n",
       "GCST000189            rs4796217              NaN           NaN   \n",
       "GCST000189            rs7770628              NaN           NaN   \n",
       "GCST000189             rs505922  9_133273813_T_C      0.299451   \n",
       "GCST000184            rs3764261  16_56959412_C_A      0.235714   \n",
       "GCST000184            rs1260326   2_27508073_T_C      0.308242   \n",
       "...                         ...              ...           ...   \n",
       "GCST012179        chr8:56693303              NaN           NaN   \n",
       "GCST012179        chr4:92954497              NaN           NaN   \n",
       "GCST012179        chr1:37781423              NaN           NaN   \n",
       "GCST012179       chr12:65543332              NaN           NaN   \n",
       "GCST90000181     chr2:134846613              NaN           NaN   \n",
       "\n",
       "                                                              qtls intervals  \\\n",
       "STUDY ACCESSION                                                                \n",
       "GCST000189                                                     NaN       NaN   \n",
       "GCST000189                                                     NaN       NaN   \n",
       "GCST000189       [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...        []   \n",
       "GCST000184       [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...        []   \n",
       "GCST000184       [{'typeId': 'eqtl', 'sourceId': 'eqtl', 'aggre...        []   \n",
       "...                                                            ...       ...   \n",
       "GCST012179                                                     NaN       NaN   \n",
       "GCST012179                                                     NaN       NaN   \n",
       "GCST012179                                                     NaN       NaN   \n",
       "GCST012179                                                     NaN       NaN   \n",
       "GCST90000181                                                   NaN       NaN   \n",
       "\n",
       "                                             functionalPredictions  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000189                                                     NaN   \n",
       "GCST000189                                                     NaN   \n",
       "GCST000189       [{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...   \n",
       "GCST000184                                                      []   \n",
       "GCST000184       [{'typeId': 'fpred', 'sourceId': 'vep', 'aggre...   \n",
       "...                                                            ...   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST90000181                                                   NaN   \n",
       "\n",
       "                                                         distances  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000189                                                     NaN   \n",
       "GCST000189                                                     NaN   \n",
       "GCST000189       [{'typeId': 'distance', 'sourceId': 'canonical...   \n",
       "GCST000184       [{'typeId': 'distance', 'sourceId': 'canonical...   \n",
       "GCST000184       [{'typeId': 'distance', 'sourceId': 'canonical...   \n",
       "...                                                            ...   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST90000181                                                   NaN   \n",
       "\n",
       "                 otg_v2g_gene_id otg_v2g_gene_symbol    gene_bioType  \\\n",
       "STUDY ACCESSION                                                        \n",
       "GCST000189                   NaN                 NaN             NaN   \n",
       "GCST000189                   NaN                 NaN             NaN   \n",
       "GCST000189       ENSG00000175164                 ABO  protein_coding   \n",
       "GCST000184       ENSG00000140853               NLRC5  protein_coding   \n",
       "GCST000184       ENSG00000084734                GCKR  protein_coding   \n",
       "...                          ...                 ...             ...   \n",
       "GCST012179                   NaN                 NaN             NaN   \n",
       "GCST012179                   NaN                 NaN             NaN   \n",
       "GCST012179                   NaN                 NaN             NaN   \n",
       "GCST012179                   NaN                 NaN             NaN   \n",
       "GCST90000181                 NaN                 NaN             NaN   \n",
       "\n",
       "                                                  gene_description  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000189                                                     NaN   \n",
       "GCST000189                                                     NaN   \n",
       "GCST000189       ABO, alpha 1-3-N-acetylgalactosaminyltransfera...   \n",
       "GCST000184       NLR family CARD domain containing 5 [Source:HG...   \n",
       "GCST000184       glucokinase regulator [Source:HGNC Symbol;Acc:...   \n",
       "...                                                            ...   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST90000181                                                   NaN   \n",
       "\n",
       "                gene_chromosome     gene_tss   gene_start     gene_end  \\\n",
       "STUDY ACCESSION                                                          \n",
       "GCST000189                  NaN          NaN          NaN          NaN   \n",
       "GCST000189                  NaN          NaN          NaN          NaN   \n",
       "GCST000189                    9  133276024.0  133250401.0  133276024.0   \n",
       "GCST000184                   16   56989485.0   56989485.0   57083531.0   \n",
       "GCST000184                    2   27496839.0   27496839.0   27523684.0   \n",
       "...                         ...          ...          ...          ...   \n",
       "GCST012179                  NaN          NaN          NaN          NaN   \n",
       "GCST012179                  NaN          NaN          NaN          NaN   \n",
       "GCST012179                  NaN          NaN          NaN          NaN   \n",
       "GCST012179                  NaN          NaN          NaN          NaN   \n",
       "GCST90000181                NaN          NaN          NaN          NaN   \n",
       "\n",
       "                gene_fwdStrand  \\\n",
       "STUDY ACCESSION                  \n",
       "GCST000189                 NaN   \n",
       "GCST000189                 NaN   \n",
       "GCST000189               False   \n",
       "GCST000184                True   \n",
       "GCST000184                True   \n",
       "...                        ...   \n",
       "GCST012179                 NaN   \n",
       "GCST012179                 NaN   \n",
       "GCST012179                 NaN   \n",
       "GCST012179                 NaN   \n",
       "GCST90000181               NaN   \n",
       "\n",
       "                                                        gene_exons  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000189                                                     NaN   \n",
       "GCST000189                                                     NaN   \n",
       "GCST000189       [133255602, 133255670, 133255675, 133256356, 1...   \n",
       "GCST000184       [57079221, 57079292, 57079050, 57079133, 57077...   \n",
       "GCST000184       [27523269, 27523684, 27522460, 27522594, 27518...   \n",
       "...                                                            ...   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST012179                                                     NaN   \n",
       "GCST90000181                                                   NaN   \n",
       "\n",
       "                       variant_V2G_symbol                      variant_V2G_id  \n",
       "STUDY ACCESSION                                                                \n",
       "GCST000189                            NaN                                 NaN  \n",
       "GCST000189                            NaN                                 NaN  \n",
       "GCST000189         (ABO, 9_133273813_T_C)  (ENSG00000175164, 9_133273813_T_C)  \n",
       "GCST000184       (NLRC5, 16_56959412_C_A)  (ENSG00000140853, 16_56959412_C_A)  \n",
       "GCST000184         (GCKR, 2_27508073_T_C)   (ENSG00000084734, 2_27508073_T_C)  \n",
       "...                                   ...                                 ...  \n",
       "GCST012179                            NaN                                 NaN  \n",
       "GCST012179                            NaN                                 NaN  \n",
       "GCST012179                            NaN                                 NaN  \n",
       "GCST012179                            NaN                                 NaN  \n",
       "GCST90000181                          NaN                                 NaN  \n",
       "\n",
       "[24852 rows x 57 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ebi_otg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE ADDED TO CATALOG</th>\n",
       "      <th>PUBMEDID</th>\n",
       "      <th>FIRST AUTHOR</th>\n",
       "      <th>DATE</th>\n",
       "      <th>JOURNAL</th>\n",
       "      <th>LINK</th>\n",
       "      <th>STUDY</th>\n",
       "      <th>DISEASE/TRAIT</th>\n",
       "      <th>MAPPED_TRAIT</th>\n",
       "      <th>INITIAL SAMPLE SIZE</th>\n",
       "      <th>ASSOCIATION COUNT</th>\n",
       "      <th>rsid</th>\n",
       "      <th>otg_variant_id</th>\n",
       "      <th>otg_v2g_gene_id</th>\n",
       "      <th>otg_v2g_gene_symbol</th>\n",
       "      <th>variant_V2G_id</th>\n",
       "      <th>variant_V2G_symbol</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STUDY ACCESSION</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GCST000083</th>\n",
       "      <td>2008-09-11</td>\n",
       "      <td>17903293</td>\n",
       "      <td>Benjamin EJ</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903293</td>\n",
       "      <td>Genome-wide association with select biomarker ...</td>\n",
       "      <td>Select biomarker traits</td>\n",
       "      <td>C-reactive protein measurement</td>\n",
       "      <td>1,012 European ancestry individuals</td>\n",
       "      <td>21</td>\n",
       "      <td>(rs2794520,)</td>\n",
       "      <td>(1_159709026_C_T,)</td>\n",
       "      <td>(ENSG00000158716,)</td>\n",
       "      <td>(DUSP23,)</td>\n",
       "      <td>((ENSG00000158716, 1_159709026_C_T),)</td>\n",
       "      <td>((DUSP23, 1_159709026_C_T),)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000083</th>\n",
       "      <td>2008-09-11</td>\n",
       "      <td>17903293</td>\n",
       "      <td>Benjamin EJ</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903293</td>\n",
       "      <td>Genome-wide association with select biomarker ...</td>\n",
       "      <td>Select biomarker traits</td>\n",
       "      <td>CCL2 measurement</td>\n",
       "      <td>1,012 European ancestry individuals</td>\n",
       "      <td>21</td>\n",
       "      <td>(rs2494250, rs4128725)</td>\n",
       "      <td>(1_159308461_G_C, 1_159436169_T_C)</td>\n",
       "      <td>(ENSG00000179639, ENSG00000179639)</td>\n",
       "      <td>(FCER1A, FCER1A)</td>\n",
       "      <td>((ENSG00000179639, 1_159308461_G_C), (ENSG0000...</td>\n",
       "      <td>((FCER1A, 1_159308461_G_C), (FCER1A, 1_1594361...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000184</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18454146</td>\n",
       "      <td>Chambers JC</td>\n",
       "      <td>2008-05-04</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18454146</td>\n",
       "      <td>Common genetic variation near MC4R is associat...</td>\n",
       "      <td>Waist circumference and related phenotypes</td>\n",
       "      <td>High density lipoprotein cholesterol measurement</td>\n",
       "      <td>2,684 Indian Asian ancestry male individuals</td>\n",
       "      <td>4</td>\n",
       "      <td>(rs3764261,)</td>\n",
       "      <td>(16_56959412_C_A,)</td>\n",
       "      <td>(ENSG00000140853,)</td>\n",
       "      <td>(NLRC5,)</td>\n",
       "      <td>((ENSG00000140853, 16_56959412_C_A),)</td>\n",
       "      <td>((NLRC5, 16_56959412_C_A),)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000184</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18454146</td>\n",
       "      <td>Chambers JC</td>\n",
       "      <td>2008-05-04</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18454146</td>\n",
       "      <td>Common genetic variation near MC4R is associat...</td>\n",
       "      <td>Waist circumference and related phenotypes</td>\n",
       "      <td>Triglyceride measurement</td>\n",
       "      <td>2,684 Indian Asian ancestry male individuals</td>\n",
       "      <td>4</td>\n",
       "      <td>(rs1260326,)</td>\n",
       "      <td>(2_27508073_T_C,)</td>\n",
       "      <td>(ENSG00000084734,)</td>\n",
       "      <td>(GCKR,)</td>\n",
       "      <td>((ENSG00000084734, 2_27508073_T_C),)</td>\n",
       "      <td>((GCKR, 2_27508073_T_C),)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000189</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18464913</td>\n",
       "      <td>Melzer D</td>\n",
       "      <td>2008-05-09</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18464913</td>\n",
       "      <td>A genome-wide association study identifies pro...</td>\n",
       "      <td>Protein quantitative trait loci</td>\n",
       "      <td>Interleukin 18 measurement</td>\n",
       "      <td>1,200 European ancestry individuals</td>\n",
       "      <td>49</td>\n",
       "      <td>(rs2250417,)</td>\n",
       "      <td>(11_112214593_T_C,)</td>\n",
       "      <td>(ENSG00000197580,)</td>\n",
       "      <td>(BCO2,)</td>\n",
       "      <td>((ENSG00000197580, 11_112214593_T_C),)</td>\n",
       "      <td>((BCO2, 11_112214593_T_C),)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST90019505</th>\n",
       "      <td>2021-06-29</td>\n",
       "      <td>33462484</td>\n",
       "      <td>Sinnott-Armstrong N</td>\n",
       "      <td>2021-01-18</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/33462484</td>\n",
       "      <td>Genetics of 35 blood and urine biomarkers in t...</td>\n",
       "      <td>Direct bilirubin levels</td>\n",
       "      <td>Bilirubin measurement</td>\n",
       "      <td>291,512 European ancestry individuals, 5,007 A...</td>\n",
       "      <td>206</td>\n",
       "      <td>(rs11563246, rs36075906, rs6431270, rs12053445...</td>\n",
       "      <td>(2_233800222_G_C, 2_233527423_C_T, 2_233302402...</td>\n",
       "      <td>(ENSG00000185038, ENSG00000085982, ENSG0000008...</td>\n",
       "      <td>(MROH2A, USP40, ATG16L1, MROH2A, UGT1A9, USP40...</td>\n",
       "      <td>((ENSG00000185038, 2_233800222_G_C), (ENSG0000...</td>\n",
       "      <td>((MROH2A, 2_233800222_G_C), (USP40, 2_23352742...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST90020047</th>\n",
       "      <td>2021-08-13</td>\n",
       "      <td>34319593</td>\n",
       "      <td>Li N</td>\n",
       "      <td>2021-07-28</td>\n",
       "      <td>Int J Cancer</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34319593</td>\n",
       "      <td>Genetic variants of CYP4F12 gene are associate...</td>\n",
       "      <td>Glioma</td>\n",
       "      <td>Glioma</td>\n",
       "      <td>485 Han Chinese ancestry cases, 485 Han Chines...</td>\n",
       "      <td>2</td>\n",
       "      <td>(rs688755,)</td>\n",
       "      <td>(19_15696495_T_C,)</td>\n",
       "      <td>(ENSG00000186204,)</td>\n",
       "      <td>(CYP4F12,)</td>\n",
       "      <td>((ENSG00000186204, 19_15696495_T_C),)</td>\n",
       "      <td>((CYP4F12, 19_15696495_T_C),)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST90020091</th>\n",
       "      <td>2021-07-27</td>\n",
       "      <td>34255042</td>\n",
       "      <td>Schmitz D</td>\n",
       "      <td>2021-07-13</td>\n",
       "      <td>J Clin Endocrinol Metab</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34255042</td>\n",
       "      <td>Genome-Wide Association Study of Estradiol Lev...</td>\n",
       "      <td>Estradiol levels</td>\n",
       "      <td>Estradiol measurement</td>\n",
       "      <td>13,367 European ancestry male cases, 134,323 E...</td>\n",
       "      <td>14</td>\n",
       "      <td>(rs62059839, rs16991615, rs62129966, rs5619686...</td>\n",
       "      <td>(17_7629697_C_T, 20_5967581_G_A, 19_47871693_C...</td>\n",
       "      <td>(ENSG00000239697, ENSG00000125885, ENSG0000010...</td>\n",
       "      <td>(TNFSF12, MCM8, SULT2A1, FKBP4, ABO, CYP3A7, U...</td>\n",
       "      <td>((ENSG00000239697, 17_7629697_C_T), (ENSG00000...</td>\n",
       "      <td>((TNFSF12, 17_7629697_C_T), (MCM8, 20_5967581_...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST90020092</th>\n",
       "      <td>2021-07-27</td>\n",
       "      <td>34255042</td>\n",
       "      <td>Schmitz D</td>\n",
       "      <td>2021-07-13</td>\n",
       "      <td>J Clin Endocrinol Metab</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34255042</td>\n",
       "      <td>Genome-Wide Association Study of Estradiol Lev...</td>\n",
       "      <td>Estradiol levels</td>\n",
       "      <td>Estradiol measurement</td>\n",
       "      <td>37,461 European ancestry female cases, 126,524...</td>\n",
       "      <td>2</td>\n",
       "      <td>(rs113047993,)</td>\n",
       "      <td>(18_23005436_C_T,)</td>\n",
       "      <td>(ENSG00000101773,)</td>\n",
       "      <td>(RBBP8,)</td>\n",
       "      <td>((ENSG00000101773, 18_23005436_C_T),)</td>\n",
       "      <td>((RBBP8, 18_23005436_C_T),)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST90020244</th>\n",
       "      <td>2021-08-13</td>\n",
       "      <td>34308111</td>\n",
       "      <td>Amin HA</td>\n",
       "      <td>2021-01-07</td>\n",
       "      <td>BMJ Nutr Prev Health</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34308111</td>\n",
       "      <td>No evidence that vitamin D is able to prevent ...</td>\n",
       "      <td>Vitamin D insufficiency</td>\n",
       "      <td>Vitamin D deficiency</td>\n",
       "      <td>35,079 European ancestry cases, 140,898 Europe...</td>\n",
       "      <td>17</td>\n",
       "      <td>(rs4944958, rs964184, rs10859995, rs1800588, r...</td>\n",
       "      <td>(11_71457027_A_G, 11_116778201_G_C, 12_9598190...</td>\n",
       "      <td>(ENSG00000172890, ENSG00000109917, ENSG0000008...</td>\n",
       "      <td>(NADSYN1, ZPR1, HAL, LIPC, SULT2A1, PADI1, UGT...</td>\n",
       "      <td>((ENSG00000172890, 11_71457027_A_G), (ENSG0000...</td>\n",
       "      <td>((NADSYN1, 11_71457027_A_G), (ZPR1, 11_1167782...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>885 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                DATE ADDED TO CATALOG  PUBMEDID         FIRST AUTHOR  \\\n",
       "STUDY ACCESSION                                                        \n",
       "GCST000083                 2008-09-11  17903293          Benjamin EJ   \n",
       "GCST000083                 2008-09-11  17903293          Benjamin EJ   \n",
       "GCST000184                 2008-06-22  18454146          Chambers JC   \n",
       "GCST000184                 2008-06-22  18454146          Chambers JC   \n",
       "GCST000189                 2008-06-22  18464913             Melzer D   \n",
       "...                               ...       ...                  ...   \n",
       "GCST90019505               2021-06-29  33462484  Sinnott-Armstrong N   \n",
       "GCST90020047               2021-08-13  34319593                 Li N   \n",
       "GCST90020091               2021-07-27  34255042            Schmitz D   \n",
       "GCST90020092               2021-07-27  34255042            Schmitz D   \n",
       "GCST90020244               2021-08-13  34308111              Amin HA   \n",
       "\n",
       "                       DATE                  JOURNAL  \\\n",
       "STUDY ACCESSION                                        \n",
       "GCST000083       2007-09-19            BMC Med Genet   \n",
       "GCST000083       2007-09-19            BMC Med Genet   \n",
       "GCST000184       2008-05-04                Nat Genet   \n",
       "GCST000184       2008-05-04                Nat Genet   \n",
       "GCST000189       2008-05-09               PLoS Genet   \n",
       "...                     ...                      ...   \n",
       "GCST90019505     2021-01-18                Nat Genet   \n",
       "GCST90020047     2021-07-28             Int J Cancer   \n",
       "GCST90020091     2021-07-13  J Clin Endocrinol Metab   \n",
       "GCST90020092     2021-07-13  J Clin Endocrinol Metab   \n",
       "GCST90020244     2021-01-07     BMJ Nutr Prev Health   \n",
       "\n",
       "                                                 LINK  \\\n",
       "STUDY ACCESSION                                         \n",
       "GCST000083       www.ncbi.nlm.nih.gov/pubmed/17903293   \n",
       "GCST000083       www.ncbi.nlm.nih.gov/pubmed/17903293   \n",
       "GCST000184       www.ncbi.nlm.nih.gov/pubmed/18454146   \n",
       "GCST000184       www.ncbi.nlm.nih.gov/pubmed/18454146   \n",
       "GCST000189       www.ncbi.nlm.nih.gov/pubmed/18464913   \n",
       "...                                               ...   \n",
       "GCST90019505     www.ncbi.nlm.nih.gov/pubmed/33462484   \n",
       "GCST90020047     www.ncbi.nlm.nih.gov/pubmed/34319593   \n",
       "GCST90020091     www.ncbi.nlm.nih.gov/pubmed/34255042   \n",
       "GCST90020092     www.ncbi.nlm.nih.gov/pubmed/34255042   \n",
       "GCST90020244     www.ncbi.nlm.nih.gov/pubmed/34308111   \n",
       "\n",
       "                                                             STUDY  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000083       Genome-wide association with select biomarker ...   \n",
       "GCST000083       Genome-wide association with select biomarker ...   \n",
       "GCST000184       Common genetic variation near MC4R is associat...   \n",
       "GCST000184       Common genetic variation near MC4R is associat...   \n",
       "GCST000189       A genome-wide association study identifies pro...   \n",
       "...                                                            ...   \n",
       "GCST90019505     Genetics of 35 blood and urine biomarkers in t...   \n",
       "GCST90020047     Genetic variants of CYP4F12 gene are associate...   \n",
       "GCST90020091     Genome-Wide Association Study of Estradiol Lev...   \n",
       "GCST90020092     Genome-Wide Association Study of Estradiol Lev...   \n",
       "GCST90020244     No evidence that vitamin D is able to prevent ...   \n",
       "\n",
       "                                              DISEASE/TRAIT  \\\n",
       "STUDY ACCESSION                                               \n",
       "GCST000083                          Select biomarker traits   \n",
       "GCST000083                          Select biomarker traits   \n",
       "GCST000184       Waist circumference and related phenotypes   \n",
       "GCST000184       Waist circumference and related phenotypes   \n",
       "GCST000189                  Protein quantitative trait loci   \n",
       "...                                                     ...   \n",
       "GCST90019505                        Direct bilirubin levels   \n",
       "GCST90020047                                         Glioma   \n",
       "GCST90020091                               Estradiol levels   \n",
       "GCST90020092                               Estradiol levels   \n",
       "GCST90020244                        Vitamin D insufficiency   \n",
       "\n",
       "                                                     MAPPED_TRAIT  \\\n",
       "STUDY ACCESSION                                                     \n",
       "GCST000083                         C-reactive protein measurement   \n",
       "GCST000083                                       CCL2 measurement   \n",
       "GCST000184       High density lipoprotein cholesterol measurement   \n",
       "GCST000184                               Triglyceride measurement   \n",
       "GCST000189                             Interleukin 18 measurement   \n",
       "...                                                           ...   \n",
       "GCST90019505                                Bilirubin measurement   \n",
       "GCST90020047                                               Glioma   \n",
       "GCST90020091                                Estradiol measurement   \n",
       "GCST90020092                                Estradiol measurement   \n",
       "GCST90020244                                 Vitamin D deficiency   \n",
       "\n",
       "                                               INITIAL SAMPLE SIZE  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000083                     1,012 European ancestry individuals   \n",
       "GCST000083                     1,012 European ancestry individuals   \n",
       "GCST000184            2,684 Indian Asian ancestry male individuals   \n",
       "GCST000184            2,684 Indian Asian ancestry male individuals   \n",
       "GCST000189                     1,200 European ancestry individuals   \n",
       "...                                                            ...   \n",
       "GCST90019505     291,512 European ancestry individuals, 5,007 A...   \n",
       "GCST90020047     485 Han Chinese ancestry cases, 485 Han Chines...   \n",
       "GCST90020091     13,367 European ancestry male cases, 134,323 E...   \n",
       "GCST90020092     37,461 European ancestry female cases, 126,524...   \n",
       "GCST90020244     35,079 European ancestry cases, 140,898 Europe...   \n",
       "\n",
       "                 ASSOCIATION COUNT  \\\n",
       "STUDY ACCESSION                      \n",
       "GCST000083                      21   \n",
       "GCST000083                      21   \n",
       "GCST000184                       4   \n",
       "GCST000184                       4   \n",
       "GCST000189                      49   \n",
       "...                            ...   \n",
       "GCST90019505                   206   \n",
       "GCST90020047                     2   \n",
       "GCST90020091                    14   \n",
       "GCST90020092                     2   \n",
       "GCST90020244                    17   \n",
       "\n",
       "                                                              rsid  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000083                                            (rs2794520,)   \n",
       "GCST000083                                  (rs2494250, rs4128725)   \n",
       "GCST000184                                            (rs3764261,)   \n",
       "GCST000184                                            (rs1260326,)   \n",
       "GCST000189                                            (rs2250417,)   \n",
       "...                                                            ...   \n",
       "GCST90019505     (rs11563246, rs36075906, rs6431270, rs12053445...   \n",
       "GCST90020047                                           (rs688755,)   \n",
       "GCST90020091     (rs62059839, rs16991615, rs62129966, rs5619686...   \n",
       "GCST90020092                                        (rs113047993,)   \n",
       "GCST90020244     (rs4944958, rs964184, rs10859995, rs1800588, r...   \n",
       "\n",
       "                                                    otg_variant_id  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000083                                      (1_159709026_C_T,)   \n",
       "GCST000083                      (1_159308461_G_C, 1_159436169_T_C)   \n",
       "GCST000184                                      (16_56959412_C_A,)   \n",
       "GCST000184                                       (2_27508073_T_C,)   \n",
       "GCST000189                                     (11_112214593_T_C,)   \n",
       "...                                                            ...   \n",
       "GCST90019505     (2_233800222_G_C, 2_233527423_C_T, 2_233302402...   \n",
       "GCST90020047                                    (19_15696495_T_C,)   \n",
       "GCST90020091     (17_7629697_C_T, 20_5967581_G_A, 19_47871693_C...   \n",
       "GCST90020092                                    (18_23005436_C_T,)   \n",
       "GCST90020244     (11_71457027_A_G, 11_116778201_G_C, 12_9598190...   \n",
       "\n",
       "                                                   otg_v2g_gene_id  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000083                                      (ENSG00000158716,)   \n",
       "GCST000083                      (ENSG00000179639, ENSG00000179639)   \n",
       "GCST000184                                      (ENSG00000140853,)   \n",
       "GCST000184                                      (ENSG00000084734,)   \n",
       "GCST000189                                      (ENSG00000197580,)   \n",
       "...                                                            ...   \n",
       "GCST90019505     (ENSG00000185038, ENSG00000085982, ENSG0000008...   \n",
       "GCST90020047                                    (ENSG00000186204,)   \n",
       "GCST90020091     (ENSG00000239697, ENSG00000125885, ENSG0000010...   \n",
       "GCST90020092                                    (ENSG00000101773,)   \n",
       "GCST90020244     (ENSG00000172890, ENSG00000109917, ENSG0000008...   \n",
       "\n",
       "                                               otg_v2g_gene_symbol  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000083                                               (DUSP23,)   \n",
       "GCST000083                                        (FCER1A, FCER1A)   \n",
       "GCST000184                                                (NLRC5,)   \n",
       "GCST000184                                                 (GCKR,)   \n",
       "GCST000189                                                 (BCO2,)   \n",
       "...                                                            ...   \n",
       "GCST90019505     (MROH2A, USP40, ATG16L1, MROH2A, UGT1A9, USP40...   \n",
       "GCST90020047                                            (CYP4F12,)   \n",
       "GCST90020091     (TNFSF12, MCM8, SULT2A1, FKBP4, ABO, CYP3A7, U...   \n",
       "GCST90020092                                              (RBBP8,)   \n",
       "GCST90020244     (NADSYN1, ZPR1, HAL, LIPC, SULT2A1, PADI1, UGT...   \n",
       "\n",
       "                                                    variant_V2G_id  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000083                   ((ENSG00000158716, 1_159709026_C_T),)   \n",
       "GCST000083       ((ENSG00000179639, 1_159308461_G_C), (ENSG0000...   \n",
       "GCST000184                   ((ENSG00000140853, 16_56959412_C_A),)   \n",
       "GCST000184                    ((ENSG00000084734, 2_27508073_T_C),)   \n",
       "GCST000189                  ((ENSG00000197580, 11_112214593_T_C),)   \n",
       "...                                                            ...   \n",
       "GCST90019505     ((ENSG00000185038, 2_233800222_G_C), (ENSG0000...   \n",
       "GCST90020047                 ((ENSG00000186204, 19_15696495_T_C),)   \n",
       "GCST90020091     ((ENSG00000239697, 17_7629697_C_T), (ENSG00000...   \n",
       "GCST90020092                 ((ENSG00000101773, 18_23005436_C_T),)   \n",
       "GCST90020244     ((ENSG00000172890, 11_71457027_A_G), (ENSG0000...   \n",
       "\n",
       "                                                variant_V2G_symbol  \n",
       "STUDY ACCESSION                                                     \n",
       "GCST000083                            ((DUSP23, 1_159709026_C_T),)  \n",
       "GCST000083       ((FCER1A, 1_159308461_G_C), (FCER1A, 1_1594361...  \n",
       "GCST000184                             ((NLRC5, 16_56959412_C_A),)  \n",
       "GCST000184                               ((GCKR, 2_27508073_T_C),)  \n",
       "GCST000189                             ((BCO2, 11_112214593_T_C),)  \n",
       "...                                                            ...  \n",
       "GCST90019505     ((MROH2A, 2_233800222_G_C), (USP40, 2_23352742...  \n",
       "GCST90020047                         ((CYP4F12, 19_15696495_T_C),)  \n",
       "GCST90020091     ((TNFSF12, 17_7629697_C_T), (MCM8, 20_5967581_...  \n",
       "GCST90020092                           ((RBBP8, 18_23005436_C_T),)  \n",
       "GCST90020244     ((NADSYN1, 11_71457027_A_G), (ZPR1, 11_1167782...  \n",
       "\n",
       "[885 rows x 17 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cols = ['STUDY ACCESSION', 'DATE ADDED TO CATALOG', 'PUBMEDID', 'FIRST AUTHOR', 'DATE', 'JOURNAL', 'LINK', 'STUDY', 'DISEASE/TRAIT', 'MAPPED_TRAIT', 'INITIAL SAMPLE SIZE', 'ASSOCIATION COUNT'] #, 'REPLICATION SAMPLE SIZE']\n",
    "final = ebi_otg[~ebi_otg.otg_variant_id.isnull()].reset_index().groupby(cols)[['rsid', 'otg_variant_id', 'otg_v2g_gene_id', 'otg_v2g_gene_symbol', 'variant_V2G_id', 'variant_V2G_symbol']].agg(tuple).reset_index().set_index('STUDY ACCESSION')\n",
    "final"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Remove duplicates in gene lists using the ids as reference"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "duplicates = [pd.Series(x).duplicated() for x in final.otg_v2g_gene_id]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "final['otg_v2g_gene_id'] = [tuple(np.array(i)[~dup]) if not pd.isnull(i) else i for dup, i in zip(duplicates, final['otg_v2g_gene_id'])]\n",
    "final['otg_v2g_gene_symbol'] = [tuple(np.array(i)[~dup]) if not pd.isnull(i) else i for dup, i in zip(duplicates, final['otg_v2g_gene_symbol'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE ADDED TO CATALOG</th>\n",
       "      <th>PUBMEDID</th>\n",
       "      <th>FIRST AUTHOR</th>\n",
       "      <th>DATE</th>\n",
       "      <th>JOURNAL</th>\n",
       "      <th>LINK</th>\n",
       "      <th>STUDY</th>\n",
       "      <th>DISEASE/TRAIT</th>\n",
       "      <th>MAPPED_TRAIT</th>\n",
       "      <th>INITIAL SAMPLE SIZE</th>\n",
       "      <th>ASSOCIATION COUNT</th>\n",
       "      <th>rsid</th>\n",
       "      <th>otg_variant_id</th>\n",
       "      <th>otg_v2g_gene_id</th>\n",
       "      <th>otg_v2g_gene_symbol</th>\n",
       "      <th>variant_V2G_id</th>\n",
       "      <th>variant_V2G_symbol</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STUDY ACCESSION</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GCST000083</th>\n",
       "      <td>2008-09-11</td>\n",
       "      <td>17903293</td>\n",
       "      <td>Benjamin EJ</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903293</td>\n",
       "      <td>Genome-wide association with select biomarker ...</td>\n",
       "      <td>Select biomarker traits</td>\n",
       "      <td>C-reactive protein measurement</td>\n",
       "      <td>1,012 European ancestry individuals</td>\n",
       "      <td>21</td>\n",
       "      <td>(rs2794520,)</td>\n",
       "      <td>(1_159709026_C_T,)</td>\n",
       "      <td>(ENSG00000158716,)</td>\n",
       "      <td>(DUSP23,)</td>\n",
       "      <td>((ENSG00000158716, 1_159709026_C_T),)</td>\n",
       "      <td>((DUSP23, 1_159709026_C_T),)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000083</th>\n",
       "      <td>2008-09-11</td>\n",
       "      <td>17903293</td>\n",
       "      <td>Benjamin EJ</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903293</td>\n",
       "      <td>Genome-wide association with select biomarker ...</td>\n",
       "      <td>Select biomarker traits</td>\n",
       "      <td>CCL2 measurement</td>\n",
       "      <td>1,012 European ancestry individuals</td>\n",
       "      <td>21</td>\n",
       "      <td>(rs2494250, rs4128725)</td>\n",
       "      <td>(1_159308461_G_C, 1_159436169_T_C)</td>\n",
       "      <td>(ENSG00000179639,)</td>\n",
       "      <td>(FCER1A,)</td>\n",
       "      <td>((ENSG00000179639, 1_159308461_G_C), (ENSG0000...</td>\n",
       "      <td>((FCER1A, 1_159308461_G_C), (FCER1A, 1_1594361...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000184</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18454146</td>\n",
       "      <td>Chambers JC</td>\n",
       "      <td>2008-05-04</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18454146</td>\n",
       "      <td>Common genetic variation near MC4R is associat...</td>\n",
       "      <td>Waist circumference and related phenotypes</td>\n",
       "      <td>High density lipoprotein cholesterol measurement</td>\n",
       "      <td>2,684 Indian Asian ancestry male individuals</td>\n",
       "      <td>4</td>\n",
       "      <td>(rs3764261,)</td>\n",
       "      <td>(16_56959412_C_A,)</td>\n",
       "      <td>(ENSG00000140853,)</td>\n",
       "      <td>(NLRC5,)</td>\n",
       "      <td>((ENSG00000140853, 16_56959412_C_A),)</td>\n",
       "      <td>((NLRC5, 16_56959412_C_A),)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000184</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18454146</td>\n",
       "      <td>Chambers JC</td>\n",
       "      <td>2008-05-04</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18454146</td>\n",
       "      <td>Common genetic variation near MC4R is associat...</td>\n",
       "      <td>Waist circumference and related phenotypes</td>\n",
       "      <td>Triglyceride measurement</td>\n",
       "      <td>2,684 Indian Asian ancestry male individuals</td>\n",
       "      <td>4</td>\n",
       "      <td>(rs1260326,)</td>\n",
       "      <td>(2_27508073_T_C,)</td>\n",
       "      <td>(ENSG00000084734,)</td>\n",
       "      <td>(GCKR,)</td>\n",
       "      <td>((ENSG00000084734, 2_27508073_T_C),)</td>\n",
       "      <td>((GCKR, 2_27508073_T_C),)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000189</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18464913</td>\n",
       "      <td>Melzer D</td>\n",
       "      <td>2008-05-09</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18464913</td>\n",
       "      <td>A genome-wide association study identifies pro...</td>\n",
       "      <td>Protein quantitative trait loci</td>\n",
       "      <td>Interleukin 18 measurement</td>\n",
       "      <td>1,200 European ancestry individuals</td>\n",
       "      <td>49</td>\n",
       "      <td>(rs2250417,)</td>\n",
       "      <td>(11_112214593_T_C,)</td>\n",
       "      <td>(ENSG00000197580,)</td>\n",
       "      <td>(BCO2,)</td>\n",
       "      <td>((ENSG00000197580, 11_112214593_T_C),)</td>\n",
       "      <td>((BCO2, 11_112214593_T_C),)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST010060</th>\n",
       "      <td>2020-06-11</td>\n",
       "      <td>31902109</td>\n",
       "      <td>Li D</td>\n",
       "      <td>2020-01-04</td>\n",
       "      <td>Genes Genomics</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/31902109</td>\n",
       "      <td>Progressive effects of single-nucleotide polym...</td>\n",
       "      <td>Cholesterol</td>\n",
       "      <td>Triglyceride measurement</td>\n",
       "      <td>6,840 Korean ancestry individuals</td>\n",
       "      <td>14</td>\n",
       "      <td>(rs6589566, rs7115242)</td>\n",
       "      <td>(11_116781707_G_A, 11_117037567_A_G)</td>\n",
       "      <td>(ENSG00000149577, ENSG00000160613)</td>\n",
       "      <td>(SIDT2, PCSK7)</td>\n",
       "      <td>((ENSG00000149577, 11_116781707_G_A), (ENSG000...</td>\n",
       "      <td>((SIDT2, 11_116781707_G_A), (PCSK7, 11_1170375...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST010062</th>\n",
       "      <td>2020-06-11</td>\n",
       "      <td>31902109</td>\n",
       "      <td>Li D</td>\n",
       "      <td>2020-01-04</td>\n",
       "      <td>Genes Genomics</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/31902109</td>\n",
       "      <td>Progressive effects of single-nucleotide polym...</td>\n",
       "      <td>Hematological and biochemical traits</td>\n",
       "      <td>Fasting blood glucose measurement</td>\n",
       "      <td>up to 6,843 Korean ancestry individuals</td>\n",
       "      <td>2</td>\n",
       "      <td>(rs1799884,)</td>\n",
       "      <td>(7_44189469_C_T,)</td>\n",
       "      <td>(ENSG00000106633,)</td>\n",
       "      <td>(GCK,)</td>\n",
       "      <td>((ENSG00000106633, 7_44189469_C_T),)</td>\n",
       "      <td>((GCK, 7_44189469_C_T),)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST010062</th>\n",
       "      <td>2020-06-11</td>\n",
       "      <td>31902109</td>\n",
       "      <td>Li D</td>\n",
       "      <td>2020-01-04</td>\n",
       "      <td>Genes Genomics</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/31902109</td>\n",
       "      <td>Progressive effects of single-nucleotide polym...</td>\n",
       "      <td>Hematological and biochemical traits</td>\n",
       "      <td>Fasting blood glucose measurement</td>\n",
       "      <td>up to 6,843 Korean ancestry individuals</td>\n",
       "      <td>9</td>\n",
       "      <td>(rs1799884,)</td>\n",
       "      <td>(7_44189469_C_T,)</td>\n",
       "      <td>(ENSG00000106633,)</td>\n",
       "      <td>(GCK,)</td>\n",
       "      <td>((ENSG00000106633, 7_44189469_C_T),)</td>\n",
       "      <td>((GCK, 7_44189469_C_T),)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST010062</th>\n",
       "      <td>2020-06-11</td>\n",
       "      <td>31902109</td>\n",
       "      <td>Li D</td>\n",
       "      <td>2020-01-04</td>\n",
       "      <td>Genes Genomics</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/31902109</td>\n",
       "      <td>Progressive effects of single-nucleotide polym...</td>\n",
       "      <td>Hematological and biochemical traits</td>\n",
       "      <td>Hemoglobin measurement</td>\n",
       "      <td>up to 6,843 Korean ancestry individuals</td>\n",
       "      <td>2</td>\n",
       "      <td>(rs5756505,)</td>\n",
       "      <td>(22_37071314_G_C,)</td>\n",
       "      <td>(ENSG00000187045,)</td>\n",
       "      <td>(TMPRSS6,)</td>\n",
       "      <td>((ENSG00000187045, 22_37071314_G_C),)</td>\n",
       "      <td>((TMPRSS6, 22_37071314_G_C),)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST010062</th>\n",
       "      <td>2020-06-11</td>\n",
       "      <td>31902109</td>\n",
       "      <td>Li D</td>\n",
       "      <td>2020-01-04</td>\n",
       "      <td>Genes Genomics</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/31902109</td>\n",
       "      <td>Progressive effects of single-nucleotide polym...</td>\n",
       "      <td>Hematological and biochemical traits</td>\n",
       "      <td>Hemoglobin measurement</td>\n",
       "      <td>up to 6,843 Korean ancestry individuals</td>\n",
       "      <td>9</td>\n",
       "      <td>(rs5756505,)</td>\n",
       "      <td>(22_37071314_G_C,)</td>\n",
       "      <td>(ENSG00000187045,)</td>\n",
       "      <td>(TMPRSS6,)</td>\n",
       "      <td>((ENSG00000187045, 22_37071314_G_C),)</td>\n",
       "      <td>((TMPRSS6, 22_37071314_G_C),)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>538 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                DATE ADDED TO CATALOG  PUBMEDID FIRST AUTHOR        DATE  \\\n",
       "STUDY ACCESSION                                                            \n",
       "GCST000083                 2008-09-11  17903293  Benjamin EJ  2007-09-19   \n",
       "GCST000083                 2008-09-11  17903293  Benjamin EJ  2007-09-19   \n",
       "GCST000184                 2008-06-22  18454146  Chambers JC  2008-05-04   \n",
       "GCST000184                 2008-06-22  18454146  Chambers JC  2008-05-04   \n",
       "GCST000189                 2008-06-22  18464913     Melzer D  2008-05-09   \n",
       "...                               ...       ...          ...         ...   \n",
       "GCST010060                 2020-06-11  31902109         Li D  2020-01-04   \n",
       "GCST010062                 2020-06-11  31902109         Li D  2020-01-04   \n",
       "GCST010062                 2020-06-11  31902109         Li D  2020-01-04   \n",
       "GCST010062                 2020-06-11  31902109         Li D  2020-01-04   \n",
       "GCST010062                 2020-06-11  31902109         Li D  2020-01-04   \n",
       "\n",
       "                        JOURNAL                                  LINK  \\\n",
       "STUDY ACCESSION                                                         \n",
       "GCST000083        BMC Med Genet  www.ncbi.nlm.nih.gov/pubmed/17903293   \n",
       "GCST000083        BMC Med Genet  www.ncbi.nlm.nih.gov/pubmed/17903293   \n",
       "GCST000184            Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18454146   \n",
       "GCST000184            Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18454146   \n",
       "GCST000189           PLoS Genet  www.ncbi.nlm.nih.gov/pubmed/18464913   \n",
       "...                         ...                                   ...   \n",
       "GCST010060       Genes Genomics  www.ncbi.nlm.nih.gov/pubmed/31902109   \n",
       "GCST010062       Genes Genomics  www.ncbi.nlm.nih.gov/pubmed/31902109   \n",
       "GCST010062       Genes Genomics  www.ncbi.nlm.nih.gov/pubmed/31902109   \n",
       "GCST010062       Genes Genomics  www.ncbi.nlm.nih.gov/pubmed/31902109   \n",
       "GCST010062       Genes Genomics  www.ncbi.nlm.nih.gov/pubmed/31902109   \n",
       "\n",
       "                                                             STUDY  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000083       Genome-wide association with select biomarker ...   \n",
       "GCST000083       Genome-wide association with select biomarker ...   \n",
       "GCST000184       Common genetic variation near MC4R is associat...   \n",
       "GCST000184       Common genetic variation near MC4R is associat...   \n",
       "GCST000189       A genome-wide association study identifies pro...   \n",
       "...                                                            ...   \n",
       "GCST010060       Progressive effects of single-nucleotide polym...   \n",
       "GCST010062       Progressive effects of single-nucleotide polym...   \n",
       "GCST010062       Progressive effects of single-nucleotide polym...   \n",
       "GCST010062       Progressive effects of single-nucleotide polym...   \n",
       "GCST010062       Progressive effects of single-nucleotide polym...   \n",
       "\n",
       "                                              DISEASE/TRAIT  \\\n",
       "STUDY ACCESSION                                               \n",
       "GCST000083                          Select biomarker traits   \n",
       "GCST000083                          Select biomarker traits   \n",
       "GCST000184       Waist circumference and related phenotypes   \n",
       "GCST000184       Waist circumference and related phenotypes   \n",
       "GCST000189                  Protein quantitative trait loci   \n",
       "...                                                     ...   \n",
       "GCST010060                                      Cholesterol   \n",
       "GCST010062             Hematological and biochemical traits   \n",
       "GCST010062             Hematological and biochemical traits   \n",
       "GCST010062             Hematological and biochemical traits   \n",
       "GCST010062             Hematological and biochemical traits   \n",
       "\n",
       "                                                     MAPPED_TRAIT  \\\n",
       "STUDY ACCESSION                                                     \n",
       "GCST000083                         C-reactive protein measurement   \n",
       "GCST000083                                       CCL2 measurement   \n",
       "GCST000184       High density lipoprotein cholesterol measurement   \n",
       "GCST000184                               Triglyceride measurement   \n",
       "GCST000189                             Interleukin 18 measurement   \n",
       "...                                                           ...   \n",
       "GCST010060                               Triglyceride measurement   \n",
       "GCST010062                      Fasting blood glucose measurement   \n",
       "GCST010062                      Fasting blood glucose measurement   \n",
       "GCST010062                                 Hemoglobin measurement   \n",
       "GCST010062                                 Hemoglobin measurement   \n",
       "\n",
       "                                          INITIAL SAMPLE SIZE  \\\n",
       "STUDY ACCESSION                                                 \n",
       "GCST000083                1,012 European ancestry individuals   \n",
       "GCST000083                1,012 European ancestry individuals   \n",
       "GCST000184       2,684 Indian Asian ancestry male individuals   \n",
       "GCST000184       2,684 Indian Asian ancestry male individuals   \n",
       "GCST000189                1,200 European ancestry individuals   \n",
       "...                                                       ...   \n",
       "GCST010060                  6,840 Korean ancestry individuals   \n",
       "GCST010062            up to 6,843 Korean ancestry individuals   \n",
       "GCST010062            up to 6,843 Korean ancestry individuals   \n",
       "GCST010062            up to 6,843 Korean ancestry individuals   \n",
       "GCST010062            up to 6,843 Korean ancestry individuals   \n",
       "\n",
       "                 ASSOCIATION COUNT                    rsid  \\\n",
       "STUDY ACCESSION                                              \n",
       "GCST000083                      21            (rs2794520,)   \n",
       "GCST000083                      21  (rs2494250, rs4128725)   \n",
       "GCST000184                       4            (rs3764261,)   \n",
       "GCST000184                       4            (rs1260326,)   \n",
       "GCST000189                      49            (rs2250417,)   \n",
       "...                            ...                     ...   \n",
       "GCST010060                      14  (rs6589566, rs7115242)   \n",
       "GCST010062                       2            (rs1799884,)   \n",
       "GCST010062                       9            (rs1799884,)   \n",
       "GCST010062                       2            (rs5756505,)   \n",
       "GCST010062                       9            (rs5756505,)   \n",
       "\n",
       "                                       otg_variant_id  \\\n",
       "STUDY ACCESSION                                         \n",
       "GCST000083                         (1_159709026_C_T,)   \n",
       "GCST000083         (1_159308461_G_C, 1_159436169_T_C)   \n",
       "GCST000184                         (16_56959412_C_A,)   \n",
       "GCST000184                          (2_27508073_T_C,)   \n",
       "GCST000189                        (11_112214593_T_C,)   \n",
       "...                                               ...   \n",
       "GCST010060       (11_116781707_G_A, 11_117037567_A_G)   \n",
       "GCST010062                          (7_44189469_C_T,)   \n",
       "GCST010062                          (7_44189469_C_T,)   \n",
       "GCST010062                         (22_37071314_G_C,)   \n",
       "GCST010062                         (22_37071314_G_C,)   \n",
       "\n",
       "                                    otg_v2g_gene_id otg_v2g_gene_symbol  \\\n",
       "STUDY ACCESSION                                                           \n",
       "GCST000083                       (ENSG00000158716,)           (DUSP23,)   \n",
       "GCST000083                       (ENSG00000179639,)           (FCER1A,)   \n",
       "GCST000184                       (ENSG00000140853,)            (NLRC5,)   \n",
       "GCST000184                       (ENSG00000084734,)             (GCKR,)   \n",
       "GCST000189                       (ENSG00000197580,)             (BCO2,)   \n",
       "...                                             ...                 ...   \n",
       "GCST010060       (ENSG00000149577, ENSG00000160613)      (SIDT2, PCSK7)   \n",
       "GCST010062                       (ENSG00000106633,)              (GCK,)   \n",
       "GCST010062                       (ENSG00000106633,)              (GCK,)   \n",
       "GCST010062                       (ENSG00000187045,)          (TMPRSS6,)   \n",
       "GCST010062                       (ENSG00000187045,)          (TMPRSS6,)   \n",
       "\n",
       "                                                    variant_V2G_id  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000083                   ((ENSG00000158716, 1_159709026_C_T),)   \n",
       "GCST000083       ((ENSG00000179639, 1_159308461_G_C), (ENSG0000...   \n",
       "GCST000184                   ((ENSG00000140853, 16_56959412_C_A),)   \n",
       "GCST000184                    ((ENSG00000084734, 2_27508073_T_C),)   \n",
       "GCST000189                  ((ENSG00000197580, 11_112214593_T_C),)   \n",
       "...                                                            ...   \n",
       "GCST010060       ((ENSG00000149577, 11_116781707_G_A), (ENSG000...   \n",
       "GCST010062                    ((ENSG00000106633, 7_44189469_C_T),)   \n",
       "GCST010062                    ((ENSG00000106633, 7_44189469_C_T),)   \n",
       "GCST010062                   ((ENSG00000187045, 22_37071314_G_C),)   \n",
       "GCST010062                   ((ENSG00000187045, 22_37071314_G_C),)   \n",
       "\n",
       "                                                variant_V2G_symbol  \n",
       "STUDY ACCESSION                                                     \n",
       "GCST000083                            ((DUSP23, 1_159709026_C_T),)  \n",
       "GCST000083       ((FCER1A, 1_159308461_G_C), (FCER1A, 1_1594361...  \n",
       "GCST000184                             ((NLRC5, 16_56959412_C_A),)  \n",
       "GCST000184                               ((GCKR, 2_27508073_T_C),)  \n",
       "GCST000189                             ((BCO2, 11_112214593_T_C),)  \n",
       "...                                                            ...  \n",
       "GCST010060       ((SIDT2, 11_116781707_G_A), (PCSK7, 11_1170375...  \n",
       "GCST010062                                ((GCK, 7_44189469_C_T),)  \n",
       "GCST010062                                ((GCK, 7_44189469_C_T),)  \n",
       "GCST010062                           ((TMPRSS6, 22_37071314_G_C),)  \n",
       "GCST010062                           ((TMPRSS6, 22_37071314_G_C),)  \n",
       "\n",
       "[538 rows x 17 columns]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final[final.index.duplicated(keep=False)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save initial sample size as integer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "final['INITIAL_SAMPLE_SIZE_INT'] = [sum([int(y.replace(',', '')) for y in x.split() if y.replace(',', '').isdigit()]) for x in final['INITIAL SAMPLE SIZE']]\n",
    "final['ASSOCIATION COUNT MAPPED TRAIT'] = [len(x) for x in final.rsid]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE ADDED TO CATALOG</th>\n",
       "      <th>PUBMEDID</th>\n",
       "      <th>FIRST AUTHOR</th>\n",
       "      <th>DATE</th>\n",
       "      <th>JOURNAL</th>\n",
       "      <th>LINK</th>\n",
       "      <th>STUDY</th>\n",
       "      <th>DISEASE/TRAIT</th>\n",
       "      <th>MAPPED_TRAIT</th>\n",
       "      <th>INITIAL SAMPLE SIZE</th>\n",
       "      <th>ASSOCIATION COUNT</th>\n",
       "      <th>rsid</th>\n",
       "      <th>otg_variant_id</th>\n",
       "      <th>otg_v2g_gene_id</th>\n",
       "      <th>otg_v2g_gene_symbol</th>\n",
       "      <th>variant_V2G_id</th>\n",
       "      <th>variant_V2G_symbol</th>\n",
       "      <th>INITIAL_SAMPLE_SIZE_INT</th>\n",
       "      <th>ASSOCIATION COUNT MAPPED TRAIT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STUDY ACCESSION</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GCST000083</th>\n",
       "      <td>2008-09-11</td>\n",
       "      <td>17903293</td>\n",
       "      <td>Benjamin EJ</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903293</td>\n",
       "      <td>Genome-wide association with select biomarker ...</td>\n",
       "      <td>Select biomarker traits</td>\n",
       "      <td>C-reactive protein measurement</td>\n",
       "      <td>1,012 European ancestry individuals</td>\n",
       "      <td>21</td>\n",
       "      <td>(rs2794520,)</td>\n",
       "      <td>(1_159709026_C_T,)</td>\n",
       "      <td>(ENSG00000158716,)</td>\n",
       "      <td>(DUSP23,)</td>\n",
       "      <td>((ENSG00000158716, 1_159709026_C_T),)</td>\n",
       "      <td>((DUSP23, 1_159709026_C_T),)</td>\n",
       "      <td>1012</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000083</th>\n",
       "      <td>2008-09-11</td>\n",
       "      <td>17903293</td>\n",
       "      <td>Benjamin EJ</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903293</td>\n",
       "      <td>Genome-wide association with select biomarker ...</td>\n",
       "      <td>Select biomarker traits</td>\n",
       "      <td>CCL2 measurement</td>\n",
       "      <td>1,012 European ancestry individuals</td>\n",
       "      <td>21</td>\n",
       "      <td>(rs2494250, rs4128725)</td>\n",
       "      <td>(1_159308461_G_C, 1_159436169_T_C)</td>\n",
       "      <td>(ENSG00000179639,)</td>\n",
       "      <td>(FCER1A,)</td>\n",
       "      <td>((ENSG00000179639, 1_159308461_G_C), (ENSG0000...</td>\n",
       "      <td>((FCER1A, 1_159308461_G_C), (FCER1A, 1_1594361...</td>\n",
       "      <td>1012</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000184</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18454146</td>\n",
       "      <td>Chambers JC</td>\n",
       "      <td>2008-05-04</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18454146</td>\n",
       "      <td>Common genetic variation near MC4R is associat...</td>\n",
       "      <td>Waist circumference and related phenotypes</td>\n",
       "      <td>High density lipoprotein cholesterol measurement</td>\n",
       "      <td>2,684 Indian Asian ancestry male individuals</td>\n",
       "      <td>4</td>\n",
       "      <td>(rs3764261,)</td>\n",
       "      <td>(16_56959412_C_A,)</td>\n",
       "      <td>(ENSG00000140853,)</td>\n",
       "      <td>(NLRC5,)</td>\n",
       "      <td>((ENSG00000140853, 16_56959412_C_A),)</td>\n",
       "      <td>((NLRC5, 16_56959412_C_A),)</td>\n",
       "      <td>2684</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000184</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18454146</td>\n",
       "      <td>Chambers JC</td>\n",
       "      <td>2008-05-04</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18454146</td>\n",
       "      <td>Common genetic variation near MC4R is associat...</td>\n",
       "      <td>Waist circumference and related phenotypes</td>\n",
       "      <td>Triglyceride measurement</td>\n",
       "      <td>2,684 Indian Asian ancestry male individuals</td>\n",
       "      <td>4</td>\n",
       "      <td>(rs1260326,)</td>\n",
       "      <td>(2_27508073_T_C,)</td>\n",
       "      <td>(ENSG00000084734,)</td>\n",
       "      <td>(GCKR,)</td>\n",
       "      <td>((ENSG00000084734, 2_27508073_T_C),)</td>\n",
       "      <td>((GCKR, 2_27508073_T_C),)</td>\n",
       "      <td>2684</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000189</th>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18464913</td>\n",
       "      <td>Melzer D</td>\n",
       "      <td>2008-05-09</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18464913</td>\n",
       "      <td>A genome-wide association study identifies pro...</td>\n",
       "      <td>Protein quantitative trait loci</td>\n",
       "      <td>Interleukin 18 measurement</td>\n",
       "      <td>1,200 European ancestry individuals</td>\n",
       "      <td>49</td>\n",
       "      <td>(rs2250417,)</td>\n",
       "      <td>(11_112214593_T_C,)</td>\n",
       "      <td>(ENSG00000197580,)</td>\n",
       "      <td>(BCO2,)</td>\n",
       "      <td>((ENSG00000197580, 11_112214593_T_C),)</td>\n",
       "      <td>((BCO2, 11_112214593_T_C),)</td>\n",
       "      <td>1200</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST90019505</th>\n",
       "      <td>2021-06-29</td>\n",
       "      <td>33462484</td>\n",
       "      <td>Sinnott-Armstrong N</td>\n",
       "      <td>2021-01-18</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/33462484</td>\n",
       "      <td>Genetics of 35 blood and urine biomarkers in t...</td>\n",
       "      <td>Direct bilirubin levels</td>\n",
       "      <td>Bilirubin measurement</td>\n",
       "      <td>291,512 European ancestry individuals, 5,007 A...</td>\n",
       "      <td>206</td>\n",
       "      <td>(rs11563246, rs36075906, rs6431270, rs12053445...</td>\n",
       "      <td>(2_233800222_G_C, 2_233527423_C_T, 2_233302402...</td>\n",
       "      <td>(ENSG00000185038, ENSG00000085982, ENSG0000008...</td>\n",
       "      <td>(MROH2A, USP40, ATG16L1, UGT1A9, APOE, TM6SF2,...</td>\n",
       "      <td>((ENSG00000185038, 2_233800222_G_C), (ENSG0000...</td>\n",
       "      <td>((MROH2A, 2_233800222_G_C), (USP40, 2_23352742...</td>\n",
       "      <td>302607</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST90020047</th>\n",
       "      <td>2021-08-13</td>\n",
       "      <td>34319593</td>\n",
       "      <td>Li N</td>\n",
       "      <td>2021-07-28</td>\n",
       "      <td>Int J Cancer</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34319593</td>\n",
       "      <td>Genetic variants of CYP4F12 gene are associate...</td>\n",
       "      <td>Glioma</td>\n",
       "      <td>Glioma</td>\n",
       "      <td>485 Han Chinese ancestry cases, 485 Han Chines...</td>\n",
       "      <td>2</td>\n",
       "      <td>(rs688755,)</td>\n",
       "      <td>(19_15696495_T_C,)</td>\n",
       "      <td>(ENSG00000186204,)</td>\n",
       "      <td>(CYP4F12,)</td>\n",
       "      <td>((ENSG00000186204, 19_15696495_T_C),)</td>\n",
       "      <td>((CYP4F12, 19_15696495_T_C),)</td>\n",
       "      <td>970</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST90020091</th>\n",
       "      <td>2021-07-27</td>\n",
       "      <td>34255042</td>\n",
       "      <td>Schmitz D</td>\n",
       "      <td>2021-07-13</td>\n",
       "      <td>J Clin Endocrinol Metab</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34255042</td>\n",
       "      <td>Genome-Wide Association Study of Estradiol Lev...</td>\n",
       "      <td>Estradiol levels</td>\n",
       "      <td>Estradiol measurement</td>\n",
       "      <td>13,367 European ancestry male cases, 134,323 E...</td>\n",
       "      <td>14</td>\n",
       "      <td>(rs62059839, rs16991615, rs62129966, rs5619686...</td>\n",
       "      <td>(17_7629697_C_T, 20_5967581_G_A, 19_47871693_C...</td>\n",
       "      <td>(ENSG00000239697, ENSG00000125885, ENSG0000010...</td>\n",
       "      <td>(TNFSF12, MCM8, SULT2A1, FKBP4, ABO, CYP3A7, U...</td>\n",
       "      <td>((ENSG00000239697, 17_7629697_C_T), (ENSG00000...</td>\n",
       "      <td>((TNFSF12, 17_7629697_C_T), (MCM8, 20_5967581_...</td>\n",
       "      <td>147690</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST90020092</th>\n",
       "      <td>2021-07-27</td>\n",
       "      <td>34255042</td>\n",
       "      <td>Schmitz D</td>\n",
       "      <td>2021-07-13</td>\n",
       "      <td>J Clin Endocrinol Metab</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34255042</td>\n",
       "      <td>Genome-Wide Association Study of Estradiol Lev...</td>\n",
       "      <td>Estradiol levels</td>\n",
       "      <td>Estradiol measurement</td>\n",
       "      <td>37,461 European ancestry female cases, 126,524...</td>\n",
       "      <td>2</td>\n",
       "      <td>(rs113047993,)</td>\n",
       "      <td>(18_23005436_C_T,)</td>\n",
       "      <td>(ENSG00000101773,)</td>\n",
       "      <td>(RBBP8,)</td>\n",
       "      <td>((ENSG00000101773, 18_23005436_C_T),)</td>\n",
       "      <td>((RBBP8, 18_23005436_C_T),)</td>\n",
       "      <td>163985</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST90020244</th>\n",
       "      <td>2021-08-13</td>\n",
       "      <td>34308111</td>\n",
       "      <td>Amin HA</td>\n",
       "      <td>2021-01-07</td>\n",
       "      <td>BMJ Nutr Prev Health</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/34308111</td>\n",
       "      <td>No evidence that vitamin D is able to prevent ...</td>\n",
       "      <td>Vitamin D insufficiency</td>\n",
       "      <td>Vitamin D deficiency</td>\n",
       "      <td>35,079 European ancestry cases, 140,898 Europe...</td>\n",
       "      <td>17</td>\n",
       "      <td>(rs4944958, rs964184, rs10859995, rs1800588, r...</td>\n",
       "      <td>(11_71457027_A_G, 11_116778201_G_C, 12_9598190...</td>\n",
       "      <td>(ENSG00000172890, ENSG00000109917, ENSG0000008...</td>\n",
       "      <td>(NADSYN1, ZPR1, HAL, LIPC, SULT2A1, PADI1, UGT...</td>\n",
       "      <td>((ENSG00000172890, 11_71457027_A_G), (ENSG0000...</td>\n",
       "      <td>((NADSYN1, 11_71457027_A_G), (ZPR1, 11_1167782...</td>\n",
       "      <td>175977</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>885 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                DATE ADDED TO CATALOG  PUBMEDID         FIRST AUTHOR  \\\n",
       "STUDY ACCESSION                                                        \n",
       "GCST000083                 2008-09-11  17903293          Benjamin EJ   \n",
       "GCST000083                 2008-09-11  17903293          Benjamin EJ   \n",
       "GCST000184                 2008-06-22  18454146          Chambers JC   \n",
       "GCST000184                 2008-06-22  18454146          Chambers JC   \n",
       "GCST000189                 2008-06-22  18464913             Melzer D   \n",
       "...                               ...       ...                  ...   \n",
       "GCST90019505               2021-06-29  33462484  Sinnott-Armstrong N   \n",
       "GCST90020047               2021-08-13  34319593                 Li N   \n",
       "GCST90020091               2021-07-27  34255042            Schmitz D   \n",
       "GCST90020092               2021-07-27  34255042            Schmitz D   \n",
       "GCST90020244               2021-08-13  34308111              Amin HA   \n",
       "\n",
       "                       DATE                  JOURNAL  \\\n",
       "STUDY ACCESSION                                        \n",
       "GCST000083       2007-09-19            BMC Med Genet   \n",
       "GCST000083       2007-09-19            BMC Med Genet   \n",
       "GCST000184       2008-05-04                Nat Genet   \n",
       "GCST000184       2008-05-04                Nat Genet   \n",
       "GCST000189       2008-05-09               PLoS Genet   \n",
       "...                     ...                      ...   \n",
       "GCST90019505     2021-01-18                Nat Genet   \n",
       "GCST90020047     2021-07-28             Int J Cancer   \n",
       "GCST90020091     2021-07-13  J Clin Endocrinol Metab   \n",
       "GCST90020092     2021-07-13  J Clin Endocrinol Metab   \n",
       "GCST90020244     2021-01-07     BMJ Nutr Prev Health   \n",
       "\n",
       "                                                 LINK  \\\n",
       "STUDY ACCESSION                                         \n",
       "GCST000083       www.ncbi.nlm.nih.gov/pubmed/17903293   \n",
       "GCST000083       www.ncbi.nlm.nih.gov/pubmed/17903293   \n",
       "GCST000184       www.ncbi.nlm.nih.gov/pubmed/18454146   \n",
       "GCST000184       www.ncbi.nlm.nih.gov/pubmed/18454146   \n",
       "GCST000189       www.ncbi.nlm.nih.gov/pubmed/18464913   \n",
       "...                                               ...   \n",
       "GCST90019505     www.ncbi.nlm.nih.gov/pubmed/33462484   \n",
       "GCST90020047     www.ncbi.nlm.nih.gov/pubmed/34319593   \n",
       "GCST90020091     www.ncbi.nlm.nih.gov/pubmed/34255042   \n",
       "GCST90020092     www.ncbi.nlm.nih.gov/pubmed/34255042   \n",
       "GCST90020244     www.ncbi.nlm.nih.gov/pubmed/34308111   \n",
       "\n",
       "                                                             STUDY  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000083       Genome-wide association with select biomarker ...   \n",
       "GCST000083       Genome-wide association with select biomarker ...   \n",
       "GCST000184       Common genetic variation near MC4R is associat...   \n",
       "GCST000184       Common genetic variation near MC4R is associat...   \n",
       "GCST000189       A genome-wide association study identifies pro...   \n",
       "...                                                            ...   \n",
       "GCST90019505     Genetics of 35 blood and urine biomarkers in t...   \n",
       "GCST90020047     Genetic variants of CYP4F12 gene are associate...   \n",
       "GCST90020091     Genome-Wide Association Study of Estradiol Lev...   \n",
       "GCST90020092     Genome-Wide Association Study of Estradiol Lev...   \n",
       "GCST90020244     No evidence that vitamin D is able to prevent ...   \n",
       "\n",
       "                                              DISEASE/TRAIT  \\\n",
       "STUDY ACCESSION                                               \n",
       "GCST000083                          Select biomarker traits   \n",
       "GCST000083                          Select biomarker traits   \n",
       "GCST000184       Waist circumference and related phenotypes   \n",
       "GCST000184       Waist circumference and related phenotypes   \n",
       "GCST000189                  Protein quantitative trait loci   \n",
       "...                                                     ...   \n",
       "GCST90019505                        Direct bilirubin levels   \n",
       "GCST90020047                                         Glioma   \n",
       "GCST90020091                               Estradiol levels   \n",
       "GCST90020092                               Estradiol levels   \n",
       "GCST90020244                        Vitamin D insufficiency   \n",
       "\n",
       "                                                     MAPPED_TRAIT  \\\n",
       "STUDY ACCESSION                                                     \n",
       "GCST000083                         C-reactive protein measurement   \n",
       "GCST000083                                       CCL2 measurement   \n",
       "GCST000184       High density lipoprotein cholesterol measurement   \n",
       "GCST000184                               Triglyceride measurement   \n",
       "GCST000189                             Interleukin 18 measurement   \n",
       "...                                                           ...   \n",
       "GCST90019505                                Bilirubin measurement   \n",
       "GCST90020047                                               Glioma   \n",
       "GCST90020091                                Estradiol measurement   \n",
       "GCST90020092                                Estradiol measurement   \n",
       "GCST90020244                                 Vitamin D deficiency   \n",
       "\n",
       "                                               INITIAL SAMPLE SIZE  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000083                     1,012 European ancestry individuals   \n",
       "GCST000083                     1,012 European ancestry individuals   \n",
       "GCST000184            2,684 Indian Asian ancestry male individuals   \n",
       "GCST000184            2,684 Indian Asian ancestry male individuals   \n",
       "GCST000189                     1,200 European ancestry individuals   \n",
       "...                                                            ...   \n",
       "GCST90019505     291,512 European ancestry individuals, 5,007 A...   \n",
       "GCST90020047     485 Han Chinese ancestry cases, 485 Han Chines...   \n",
       "GCST90020091     13,367 European ancestry male cases, 134,323 E...   \n",
       "GCST90020092     37,461 European ancestry female cases, 126,524...   \n",
       "GCST90020244     35,079 European ancestry cases, 140,898 Europe...   \n",
       "\n",
       "                 ASSOCIATION COUNT  \\\n",
       "STUDY ACCESSION                      \n",
       "GCST000083                      21   \n",
       "GCST000083                      21   \n",
       "GCST000184                       4   \n",
       "GCST000184                       4   \n",
       "GCST000189                      49   \n",
       "...                            ...   \n",
       "GCST90019505                   206   \n",
       "GCST90020047                     2   \n",
       "GCST90020091                    14   \n",
       "GCST90020092                     2   \n",
       "GCST90020244                    17   \n",
       "\n",
       "                                                              rsid  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000083                                            (rs2794520,)   \n",
       "GCST000083                                  (rs2494250, rs4128725)   \n",
       "GCST000184                                            (rs3764261,)   \n",
       "GCST000184                                            (rs1260326,)   \n",
       "GCST000189                                            (rs2250417,)   \n",
       "...                                                            ...   \n",
       "GCST90019505     (rs11563246, rs36075906, rs6431270, rs12053445...   \n",
       "GCST90020047                                           (rs688755,)   \n",
       "GCST90020091     (rs62059839, rs16991615, rs62129966, rs5619686...   \n",
       "GCST90020092                                        (rs113047993,)   \n",
       "GCST90020244     (rs4944958, rs964184, rs10859995, rs1800588, r...   \n",
       "\n",
       "                                                    otg_variant_id  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000083                                      (1_159709026_C_T,)   \n",
       "GCST000083                      (1_159308461_G_C, 1_159436169_T_C)   \n",
       "GCST000184                                      (16_56959412_C_A,)   \n",
       "GCST000184                                       (2_27508073_T_C,)   \n",
       "GCST000189                                     (11_112214593_T_C,)   \n",
       "...                                                            ...   \n",
       "GCST90019505     (2_233800222_G_C, 2_233527423_C_T, 2_233302402...   \n",
       "GCST90020047                                    (19_15696495_T_C,)   \n",
       "GCST90020091     (17_7629697_C_T, 20_5967581_G_A, 19_47871693_C...   \n",
       "GCST90020092                                    (18_23005436_C_T,)   \n",
       "GCST90020244     (11_71457027_A_G, 11_116778201_G_C, 12_9598190...   \n",
       "\n",
       "                                                   otg_v2g_gene_id  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000083                                      (ENSG00000158716,)   \n",
       "GCST000083                                      (ENSG00000179639,)   \n",
       "GCST000184                                      (ENSG00000140853,)   \n",
       "GCST000184                                      (ENSG00000084734,)   \n",
       "GCST000189                                      (ENSG00000197580,)   \n",
       "...                                                            ...   \n",
       "GCST90019505     (ENSG00000185038, ENSG00000085982, ENSG0000008...   \n",
       "GCST90020047                                    (ENSG00000186204,)   \n",
       "GCST90020091     (ENSG00000239697, ENSG00000125885, ENSG0000010...   \n",
       "GCST90020092                                    (ENSG00000101773,)   \n",
       "GCST90020244     (ENSG00000172890, ENSG00000109917, ENSG0000008...   \n",
       "\n",
       "                                               otg_v2g_gene_symbol  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000083                                               (DUSP23,)   \n",
       "GCST000083                                               (FCER1A,)   \n",
       "GCST000184                                                (NLRC5,)   \n",
       "GCST000184                                                 (GCKR,)   \n",
       "GCST000189                                                 (BCO2,)   \n",
       "...                                                            ...   \n",
       "GCST90019505     (MROH2A, USP40, ATG16L1, UGT1A9, APOE, TM6SF2,...   \n",
       "GCST90020047                                            (CYP4F12,)   \n",
       "GCST90020091     (TNFSF12, MCM8, SULT2A1, FKBP4, ABO, CYP3A7, U...   \n",
       "GCST90020092                                              (RBBP8,)   \n",
       "GCST90020244     (NADSYN1, ZPR1, HAL, LIPC, SULT2A1, PADI1, UGT...   \n",
       "\n",
       "                                                    variant_V2G_id  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000083                   ((ENSG00000158716, 1_159709026_C_T),)   \n",
       "GCST000083       ((ENSG00000179639, 1_159308461_G_C), (ENSG0000...   \n",
       "GCST000184                   ((ENSG00000140853, 16_56959412_C_A),)   \n",
       "GCST000184                    ((ENSG00000084734, 2_27508073_T_C),)   \n",
       "GCST000189                  ((ENSG00000197580, 11_112214593_T_C),)   \n",
       "...                                                            ...   \n",
       "GCST90019505     ((ENSG00000185038, 2_233800222_G_C), (ENSG0000...   \n",
       "GCST90020047                 ((ENSG00000186204, 19_15696495_T_C),)   \n",
       "GCST90020091     ((ENSG00000239697, 17_7629697_C_T), (ENSG00000...   \n",
       "GCST90020092                 ((ENSG00000101773, 18_23005436_C_T),)   \n",
       "GCST90020244     ((ENSG00000172890, 11_71457027_A_G), (ENSG0000...   \n",
       "\n",
       "                                                variant_V2G_symbol  \\\n",
       "STUDY ACCESSION                                                      \n",
       "GCST000083                            ((DUSP23, 1_159709026_C_T),)   \n",
       "GCST000083       ((FCER1A, 1_159308461_G_C), (FCER1A, 1_1594361...   \n",
       "GCST000184                             ((NLRC5, 16_56959412_C_A),)   \n",
       "GCST000184                               ((GCKR, 2_27508073_T_C),)   \n",
       "GCST000189                             ((BCO2, 11_112214593_T_C),)   \n",
       "...                                                            ...   \n",
       "GCST90019505     ((MROH2A, 2_233800222_G_C), (USP40, 2_23352742...   \n",
       "GCST90020047                         ((CYP4F12, 19_15696495_T_C),)   \n",
       "GCST90020091     ((TNFSF12, 17_7629697_C_T), (MCM8, 20_5967581_...   \n",
       "GCST90020092                           ((RBBP8, 18_23005436_C_T),)   \n",
       "GCST90020244     ((NADSYN1, 11_71457027_A_G), (ZPR1, 11_1167782...   \n",
       "\n",
       "                 INITIAL_SAMPLE_SIZE_INT  ASSOCIATION COUNT MAPPED TRAIT  \n",
       "STUDY ACCESSION                                                           \n",
       "GCST000083                          1012                               1  \n",
       "GCST000083                          1012                               2  \n",
       "GCST000184                          2684                               1  \n",
       "GCST000184                          2684                               1  \n",
       "GCST000189                          1200                               1  \n",
       "...                                  ...                             ...  \n",
       "GCST90019505                      302607                              17  \n",
       "GCST90020047                         970                               1  \n",
       "GCST90020091                      147690                               7  \n",
       "GCST90020092                      163985                               1  \n",
       "GCST90020244                      175977                               8  \n",
       "\n",
       "[885 rows x 19 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "assert np.all([len(x) if not pd.isnull(x) else 0 for x in final['otg_v2g_gene_symbol']] == [len(x) if not pd.isnull(x) else 0 for x in final['otg_v2g_gene_id']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "418"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final.index.nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save the data frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "final.to_pickle('data/gwas_catalog_aug_14_2021_nonOTG_traits.pkl')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}