Analytical Models For Genetics of Human Traits Influenced By Sex.

Abstract:

:Analytical models usually assume an additive sex effect by treating it as a covariate to identify genetic associations with sex-influenced traits. Their underlying assumptions are violated by ignoring interactions of sex with genetic factors and heterogeneous genetic effects by sex. Methods to deal with the problems are compared and discussed in this article. Especially, heterogeneity of genetic variance by sex can be assessed employing a mixed model with genetic relationship matrix constructed from genome-wide nucleotide variant information. Estimating genetic architecture of each sex would help understand different prevalence, course, and severity of complex diseases between women and men in the era of personalized medicine.

journal_name

Curr Genomics

journal_title

Current genomics

authors

Lee C

doi

10.2174/1389202917666160420142601

subject

Has Abstract

pub_date

2015-10-01 00:00:00

pages

439-443

issue

5

eissn

1389-2029

issn

1875-5488

pii

CG-17-439

journal_volume

17

pub_type

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