v1.0.4

saigegit · Mar 30, 2022 · 341664a · 341664a
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 Package: SAIGE
 Type: Package
 Title: Efficiently controlling for case-control imbalance and sample relatedness in single-variant assoc tests (SAIGE) and controlling for sample relatedness in region-based assoc tests in large cohorts and biobanks (SAIGE-GENE+) 
-Version: 1.0.3
-Date: 2022-03-29
+Version: 1.0.4
+Date: 2022-03-30
 Author: Wei Zhou, Zhangchen Zhao, Wenjian Bi, Seunggeun Lee, Cristen Willer
 Maintainer: SAIGE team <[email protected]> 
 Description:an R package that implements the Scalable and Accurate Implementation of Generalized mixed model that uses the saddlepoint approximation (SPA)(mhof, J. P. , 1961; Kuonen, D. 1999; Dey, R. et.al 2017) and large scale optimization techniques to calibrate case-control ratios in logistic mixed model score tests (Chen, H. et al. 2016) in large PheWAS. It conducts both single-variant association tests and set-based tests for rare variants.