Variance components models for gene-environment interaction in quantitative trait locus linkage analysis

Shaun Purcell, Pak Sham

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

Gene-environment interaction (G x E) is likely to be a common and important source of variation for complex behavioral traits. Gene-environment interaction, or genetic control of sensitivity to the environment, can be incorporated into variance components twin and sib-pair analyses by partitioning genetic effects into a mean part, which is independent of the environment, and a part that is a linear function of the environment. An approach described in a companion paper (Purcell, 2002) is applied to sib-pair variance components linkage analysis in two ways: allowing for quantitative trait locus by environment interaction and utilizing information on any residual interactions detected prior to analysis. As well as elucidating environmental pathways, consideration of G x E in quantitative and molecular studies will potentially direct and enhance gene-mapping efforts.

Original languageEnglish
Pages (from-to)572-576
Number of pages5
JournalTwin Research
Volume5
Issue number6
DOIs
StatePublished - 1 Dec 2002
Externally publishedYes

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