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Conference Paper: A powerful regression-based method of quantitative-trait linkage analysis for general pedigrees

TitleA powerful regression-based method of quantitative-trait linkage analysis for general pedigrees
Authors
Issue Date2002
PublisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0001-8244
Citation
The 32nd Annual Meeting of the Behavior Genetics Association (BGA 2002). In Behavior Genetics, 2002, v. 32 n. 6, p. 485 How to Cite?
AbstractWe present a new method of quantitative trait linkage analysis that combines the advantages of simplicity of regression-based methods and the generality and greater power of variance components models. The new method is based on a regression of estimated identityby-descent (IBD) sharing between relative pairs on the squared-sums and squared-differences of trait values of the relative pairs. The method is applicable to pedigrees of arbitrary structure, and to pedigrees selected on the basis of trait value, provided that population parameters of the trait distribution can be correctly specified. Ambiguous IBD sharing (due to incomplete marker information) can be accommodated in the method, by appropriate specification of the variance-covariance matrix of IBD sharing between relative pairs. We have implemented this regression-based method, and have performed simulation studies to assess estimation accuracy, Type 1 error rate, and power under a range of conditions. Under most scenarios and in large samples, the method is found to give the correct Type 1 error rate and an unbiased estimate of the proportion of trait variance accounted for by the additive effects of the locus. In large sibships the new method is more powerful than variance components models. The proposed method provides a practical and powerful tool for the linkage analysis of quantitative traits.
DescriptionAbstract
Persistent Identifierhttp://hdl.handle.net/10722/143695
ISSN
2015 Impact Factor: 3.268
2015 SCImago Journal Rankings: 1.457

 

DC FieldValueLanguage
dc.contributor.authorSham, PCen_US
dc.contributor.authorPurcell, Sen_US
dc.contributor.authorCherny, SSen_US
dc.contributor.authorAbecasis, GRen_US
dc.date.accessioned2011-12-16T08:09:34Z-
dc.date.available2011-12-16T08:09:34Z-
dc.date.issued2002en_US
dc.identifier.citationThe 32nd Annual Meeting of the Behavior Genetics Association (BGA 2002). In Behavior Genetics, 2002, v. 32 n. 6, p. 485en_US
dc.identifier.issn0001-8244en_US
dc.identifier.urihttp://hdl.handle.net/10722/143695-
dc.descriptionAbstract-
dc.description.abstractWe present a new method of quantitative trait linkage analysis that combines the advantages of simplicity of regression-based methods and the generality and greater power of variance components models. The new method is based on a regression of estimated identityby-descent (IBD) sharing between relative pairs on the squared-sums and squared-differences of trait values of the relative pairs. The method is applicable to pedigrees of arbitrary structure, and to pedigrees selected on the basis of trait value, provided that population parameters of the trait distribution can be correctly specified. Ambiguous IBD sharing (due to incomplete marker information) can be accommodated in the method, by appropriate specification of the variance-covariance matrix of IBD sharing between relative pairs. We have implemented this regression-based method, and have performed simulation studies to assess estimation accuracy, Type 1 error rate, and power under a range of conditions. Under most scenarios and in large samples, the method is found to give the correct Type 1 error rate and an unbiased estimate of the proportion of trait variance accounted for by the additive effects of the locus. In large sibships the new method is more powerful than variance components models. The proposed method provides a practical and powerful tool for the linkage analysis of quantitative traits.-
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.titleA powerful regression-based method of quantitative-trait linkage analysis for general pedigreesen_US
dc.typeConference_Paperen_US
dc.identifier.emailCherny, SS: cherny@hku.hken_US
dc.identifier.authorityCherny, SS=rp00232en_US
dc.identifier.doi10.1023/A:1020836428891-
dc.identifier.volume32en_US
dc.identifier.issue6-
dc.identifier.spage485en_US
dc.identifier.epage485en_US

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