Misspecification in Mixed-Model-Based Association Analysis.

Abstract:

:Additive genetic variance in natural populations is commonly estimated using mixed models, in which the covariance of the genetic effects is modeled by a genetic similarity matrix derived from a dense set of markers. An important but usually implicit assumption is that the presence of any nonadditive genetic effect increases only the residual variance and does not affect estimates of additive genetic variance. Here we show that this is true only for panels of unrelated individuals. In the case that there is genetic relatedness, the combination of population structure and epistatic interactions can lead to inflated estimates of additive genetic variance.

journal_name

Genetics

journal_title

Genetics

authors

Kruijer W

doi

10.1534/genetics.115.177212

subject

Has Abstract

pub_date

2016-01-01 00:00:00

pages

363-6

issue

1

eissn

0016-6731

issn

1943-2631

pii

genetics.115.177212

journal_volume

202

pub_type

信件

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