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

Twin Res. 2002 Dec;5(6):572-6. doi: 10.1375/136905202762342035.

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.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.
  • Twin Study

MeSH terms

  • Computer Simulation
  • Environment*
  • Genetic Linkage*
  • Genetics, Behavioral
  • Humans
  • Models, Genetic*
  • Quantitative Trait Loci / genetics*
  • Twins / genetics*