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- Publisher Website: 10.1375/136905202762342035
- Scopus: eid_2-s2.0-0036916165
- PMID: 12573188
- WOS: WOS:000180151300007
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Article: Variance components models for gene-environment interaction in quantitative trait locus linkage analysis
Title | Variance components models for gene-environment interaction in quantitative trait locus linkage analysis |
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Authors | |
Issue Date | 2002 |
Citation | Twin Research, 2002, v. 5 n. 6, p. 572-576 How to Cite? |
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. |
Persistent Identifier | http://hdl.handle.net/10722/175871 |
ISSN | |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Purcell, S | en_US |
dc.contributor.author | Sham, P | en_US |
dc.date.accessioned | 2012-11-26T09:01:56Z | - |
dc.date.available | 2012-11-26T09:01:56Z | - |
dc.date.issued | 2002 | en_US |
dc.identifier.citation | Twin Research, 2002, v. 5 n. 6, p. 572-576 | en_US |
dc.identifier.issn | 1369-0523 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/175871 | - |
dc.description.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. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Twin Research | en_US |
dc.subject.mesh | Computer Simulation | en_US |
dc.subject.mesh | Environment | en_US |
dc.subject.mesh | Genetic Linkage | en_US |
dc.subject.mesh | Genetics, Behavioral | en_US |
dc.subject.mesh | Humans | en_US |
dc.subject.mesh | Models, Genetic | en_US |
dc.subject.mesh | Quantitative Trait Loci - Genetics | en_US |
dc.subject.mesh | Twins - Genetics | en_US |
dc.title | Variance components models for gene-environment interaction in quantitative trait locus linkage analysis | en_US |
dc.type | Article | en_US |
dc.identifier.email | Sham, P: pcsham@hku.hk | en_US |
dc.identifier.authority | Sham, P=rp00459 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1375/136905202762342035 | en_US |
dc.identifier.pmid | 12573188 | - |
dc.identifier.scopus | eid_2-s2.0-0036916165 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-0036916165&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 5 | en_US |
dc.identifier.issue | 6 | en_US |
dc.identifier.spage | 572 | en_US |
dc.identifier.epage | 576 | en_US |
dc.identifier.isi | WOS:000180151300007 | - |
dc.identifier.scopusauthorid | Purcell, S=7005489464 | en_US |
dc.identifier.scopusauthorid | Sham, P=34573429300 | en_US |
dc.identifier.issnl | 1369-0523 | - |