Covariate adaptive familywise error rate control for genome-wide association studies.

ABSTRACT: The familywise error rate has been widely used in genome-wide association studies. With the increasing availability of functional genomics data, it is possible to increase detection power by leveraging these genomic functional annotations. Previous efforts to accommodate covariates in multiple testing focused on false discovery rate control, while covariate-adaptive procedures controlling the familywise error rate remain underdeveloped. Here, we propose a novel covariate-adaptive procedure to control the familywise error rate that incorporates external covariates which are potentially informative of either the statistical power or the prior null probability. An efficient algorithm is developed to implement the proposed method. We prove its asymptotic validity and obtain the rate of converg

SUBMITTER: Zhou H 

PROVIDER: S-EPMC8598971 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature