Comparison of adaptive multiple phenotype association tests using summary statistics in genome-wide association studies.

ABSTRACT: Genome-wide association studies have been successful mapping loci for individual phenotypes, but few studies have comprehensively interrogated evidence of shared genetic effects across multiple phenotypes simultaneously. Statistical methods have been proposed for analyzing multiple phenotypes using summary statistics, which enables studies of shared genetic effects while avoiding challenges associated with individual-level data sharing. Adaptive tests have been developed to maintain power against multiple alternative hypotheses because the most powerful single-alternative test depends on the underlying structure of the associations between the multiple phenotypes and a single nucleotide polymorphism (SNP). Here we compare the performance of six such adaptive tests: two adaptive sum of powe

SUBMITTER: Sitlani CM 

PROVIDER: S-EPMC8283209 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature