Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-28T23:05:40.389Z Has data issue: false hasContentIssue false
  • English
  • Français

Variance Components Models for Gene–Environment Interaction in Quantitative Trait Locus Linkage Analysis

Published online by Cambridge University Press:  21 February 2012

Shaun Purcell  and
Pak Sham
Shaun Purcell*
Affiliation:
Social, Genetic and Developmental Psychiatry Research Centre, Institute of Psychiatry, King's College, London, UK. [email protected]
Pak Sham
Affiliation:
Social, Genetic and Developmental Psychiatry Research Centre, Institute of Psychiatry, King's College, London, UK.
*
*Address for correspondence: Shaun Purcell, SGDP Research Centre, IoP, Box PO 080, 111 Denmark Hill, London, SE5 8AF, UK.

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Gene–environment interaction (G × 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 × E in quantitative and molecular studies will potentially direct and enhance gene-mapping efforts.

Type
Articles
Information
Twin Research and Human Genetics , Volume 5 , Issue 6 , 01 December 2002 , pp. 572 - 576
Copyright
Copyright © Cambridge University Press 2002