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

TitleVariance components models for gene-environment interaction in quantitative trait locus linkage analysis
Authors
Issue Date2002
Citation
Twin Research, 2002, v. 5 n. 6, p. 572-576 How to Cite?
AbstractGene-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.
Persistent Identifierhttp://hdl.handle.net/10722/175871
ISSN
2006 Impact Factor: 1.757
References

 

DC FieldValueLanguage
dc.contributor.authorPurcell, Sen_US
dc.contributor.authorSham, Pen_US
dc.date.accessioned2012-11-26T09:01:56Z-
dc.date.available2012-11-26T09:01:56Z-
dc.date.issued2002en_US
dc.identifier.citationTwin Research, 2002, v. 5 n. 6, p. 572-576en_US
dc.identifier.issn1369-0523en_US
dc.identifier.urihttp://hdl.handle.net/10722/175871-
dc.description.abstractGene-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.en_US
dc.languageengen_US
dc.relation.ispartofTwin Researchen_US
dc.subject.meshComputer Simulationen_US
dc.subject.meshEnvironmenten_US
dc.subject.meshGenetic Linkageen_US
dc.subject.meshGenetics, Behavioralen_US
dc.subject.meshHumansen_US
dc.subject.meshModels, Geneticen_US
dc.subject.meshQuantitative Trait Loci - Geneticsen_US
dc.subject.meshTwins - Geneticsen_US
dc.titleVariance components models for gene-environment interaction in quantitative trait locus linkage analysisen_US
dc.typeArticleen_US
dc.identifier.emailSham, P: pcsham@hku.hken_US
dc.identifier.authoritySham, P=rp00459en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1375/136905202762342035en_US
dc.identifier.pmid12573188-
dc.identifier.scopuseid_2-s2.0-0036916165en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0036916165&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume5en_US
dc.identifier.issue6en_US
dc.identifier.spage572en_US
dc.identifier.epage576en_US
dc.identifier.scopusauthoridPurcell, S=7005489464en_US
dc.identifier.scopusauthoridSham, P=34573429300en_US

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