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Detection of gene-environment interaction in pedigree data using genome-wide genotypes.


ABSTRACT: Heritability may be estimated using phenotypic data collected in relatives or in distantly related individuals using genome-wide single nucleotide polymorphism (SNP) data. We combined these approaches by re-parameterizing the model proposed by Zaitlen et al and extended this model to include moderation of (total and SNP-based) genetic and environmental variance components by a measured moderator. By means of data simulation, we demonstrated that the type 1 error rates of the proposed test are correct and parameter estimates are accurate. As an application, we considered the moderation by age or year of birth of variance components associated with body mass index (BMI), height, attention problems (AP), and symptoms of anxiety and depression. The genetic variance of BMI was found to increase with age, but the environmental variance displayed a greater increase with age, resulting in a proportional decrease of the heritability of BMI. Environmental variance of height increased with year of birth. The environmental variance of AP increased with age. These results illustrate the assessment of moderation of environmental and genetic effects, when estimating heritability from combined SNP and family data. The assessment of moderation of genetic and environmental variance will enhance our understanding of the genetic architecture of complex traits.

SUBMITTER: Nivard MG 

PROVIDER: S-EPMC5117937 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

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Detection of gene-environment interaction in pedigree data using genome-wide genotypes.

Nivard Michel G MG   Middeldorp Christel M CM   Lubke Gitta G   Hottenga Jouke-Jan JJ   Abdellaoui Abdel A   Boomsma Dorret I DI   Dolan Conor V CV  

European journal of human genetics : EJHG 20160720 12


Heritability may be estimated using phenotypic data collected in relatives or in distantly related individuals using genome-wide single nucleotide polymorphism (SNP) data. We combined these approaches by re-parameterizing the model proposed by Zaitlen et al and extended this model to include moderation of (total and SNP-based) genetic and environmental variance components by a measured moderator. By means of data simulation, we demonstrated that the type 1 error rates of the proposed test are co  ...[more]

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