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Article: Epistasis in Quantitative Trait Locus Linkage Analysis: Interaction or Main Effect?

TitleEpistasis in Quantitative Trait Locus Linkage Analysis: Interaction or Main Effect?
Authors
Issue Date2004
PublisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0001-8244
Citation
Behavior Genetics, 2004, v. 34 n. 2, p. 143-152 How to Cite?
AbstractThis paper explores a two-locus variance components model of quantitative trait locus (QTL) linkage for sib-pairs that incorporates epistasis. For a range of epistatic models the expected variance components and noncentrality parameter per sib-pair can be calculated, to indicate the power to detect epistasis. In QTL linkage analysis, additive and epistatic effects are in fact partially confounded; as a result, variance components under incorrect submodels can be distorted, with two main implications. First, the analysis of a single locus can in fact detect a QTL that has no main effect but interacts epistatically with another (unmeasured) locus. That is, single-locus approaches do not necessarily preclude the detection of purely epistatically interacting loci. Second, because the nonepistatic variance component estimates in submodels can partially absorb epistatic variance when it is not explicitly modeled, power to formally detect epistasis is low.
Persistent Identifierhttp://hdl.handle.net/10722/175907
ISSN
2015 Impact Factor: 3.268
2015 SCImago Journal Rankings: 1.457
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorPurcell, Sen_US
dc.contributor.authorSham, PCen_US
dc.date.accessioned2012-11-26T09:02:22Z-
dc.date.available2012-11-26T09:02:22Z-
dc.date.issued2004en_US
dc.identifier.citationBehavior Genetics, 2004, v. 34 n. 2, p. 143-152en_US
dc.identifier.issn0001-8244en_US
dc.identifier.urihttp://hdl.handle.net/10722/175907-
dc.description.abstractThis paper explores a two-locus variance components model of quantitative trait locus (QTL) linkage for sib-pairs that incorporates epistasis. For a range of epistatic models the expected variance components and noncentrality parameter per sib-pair can be calculated, to indicate the power to detect epistasis. In QTL linkage analysis, additive and epistatic effects are in fact partially confounded; as a result, variance components under incorrect submodels can be distorted, with two main implications. First, the analysis of a single locus can in fact detect a QTL that has no main effect but interacts epistatically with another (unmeasured) locus. That is, single-locus approaches do not necessarily preclude the detection of purely epistatically interacting loci. Second, because the nonepistatic variance component estimates in submodels can partially absorb epistatic variance when it is not explicitly modeled, power to formally detect epistasis is low.en_US
dc.languageengen_US
dc.publisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0001-8244en_US
dc.relation.ispartofBehavior Geneticsen_US
dc.subject.meshAllelesen_US
dc.subject.meshChromosome Mapping - Statistics & Numerical Dataen_US
dc.subject.meshEpistasis, Geneticen_US
dc.subject.meshGene Frequency - Geneticsen_US
dc.subject.meshHumansen_US
dc.subject.meshModels, Geneticen_US
dc.subject.meshModels, Statisticalen_US
dc.subject.meshQuantitative Trait Loci - Geneticsen_US
dc.titleEpistasis in Quantitative Trait Locus Linkage Analysis: Interaction or Main Effect?en_US
dc.typeArticleen_US
dc.identifier.emailSham, PC: pcsham@hku.hken_US
dc.identifier.authoritySham, PC=rp00459en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1023/B:BEGE.0000013728.96408.f9en_US
dc.identifier.pmid14755179-
dc.identifier.scopuseid_2-s2.0-1442308248en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-1442308248&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume34en_US
dc.identifier.issue2en_US
dc.identifier.spage143en_US
dc.identifier.epage152en_US
dc.identifier.isiWOS:000189303800004-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridPurcell, S=7005489464en_US
dc.identifier.scopusauthoridSham, PC=34573429300en_US

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