An Association Mapping Framework To Account for Potential Sex Difference in Genetic Architectures.

ABSTRACT: Over the past few years, genome-wide association studies have identified many trait-associated loci that have different effects on females and males, which increased attention to the genetic architecture differences between the sexes. The between-sex differences in genetic architectures can cause a variety of phenomena such as differences in the effect sizes at trait-associated loci, differences in the magnitudes of polygenic background effects, and differences in the phenotypic variances. However, current association testing approaches for dealing with sex, such as including sex as a covariate, cannot fully account for these phenomena and can be suboptimal in statistical power. We present a novel association mapping framework, MetaSex, that can comprehensively account for the genetic arch

SUBMITTER: Kang EY 

PROVIDER: S-EPMC6028251 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature