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

Authors :
Eun Yong Kang
Cue Hyunkyu Lee
Furlotte, Nicholas A.
Joo, Jong Wha J.
Kostem, Emrah
Zaitlen, Noah
Eskin, Eleazar
Han, Buhm
Source :
Genetics. Jul2018, Vol. 209 Issue 3, p685-698. 14p.
Publication Year :
2018

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 architecture differences between the sexes. Through simulations and applications to real data, we show that our framework has superior performance than previous approaches in association mapping. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00166731
Volume :
209
Issue :
3
Database :
Academic Search Index
Journal :
Genetics
Publication Type :
Academic Journal
Accession number :
130573928
Full Text :
https://doi.org/10.1534/genetics.117.300501