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Article: An improved multipoint sib-pair analysis of quantitative traits

TitleAn improved multipoint sib-pair analysis of quantitative traits
Authors
Keywordsidentical by descent
marker alleles
maximum likelihood
Multipoint sib-pair analysis
quantitative traits
Issue Date1996
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, 1996, v. 26 n. 5, p. 527-532 How to Cite?
AbstractKruglyak and Lander (1995) recently published a multipoint sib-pair procedure based on the expected distribution of zero, one and two marker alleles shared identical by descent (ibd) and the method of maximum- likelihood (ML). Their approach uses phenotypic sib-pair differences, which ignores the bivariate structure of sib-pair data. Their simulations suggested that their method was more powerful than the regression method of Haseman and Elston (1972). We show through computation and simulation that their approach can be made more powerful still if the bivariate nature of sib-pair data is acknowledged. In addition, methods based on the average number of shared alleles that also employ bivariate ML procedures (Nance and Neale, 1989; Xu and Atchley, 1995) are more powerful than the approach they recommend and very similar to true ML using the distribution of ibd. The simple ML approach using the average number of shared alleles that we recommend seems to offer both optimal power and flexibility.
Persistent Identifierhttp://hdl.handle.net/10722/143651
ISSN
2015 Impact Factor: 3.268
2015 SCImago Journal Rankings: 1.457
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorFulker, DWen_HK
dc.contributor.authorCherny, SSen_HK
dc.date.accessioned2011-12-16T08:08:41Z-
dc.date.available2011-12-16T08:08:41Z-
dc.date.issued1996en_HK
dc.identifier.citationBehavior Genetics, 1996, v. 26 n. 5, p. 527-532en_HK
dc.identifier.issn0001-8244en_HK
dc.identifier.urihttp://hdl.handle.net/10722/143651-
dc.description.abstractKruglyak and Lander (1995) recently published a multipoint sib-pair procedure based on the expected distribution of zero, one and two marker alleles shared identical by descent (ibd) and the method of maximum- likelihood (ML). Their approach uses phenotypic sib-pair differences, which ignores the bivariate structure of sib-pair data. Their simulations suggested that their method was more powerful than the regression method of Haseman and Elston (1972). We show through computation and simulation that their approach can be made more powerful still if the bivariate nature of sib-pair data is acknowledged. In addition, methods based on the average number of shared alleles that also employ bivariate ML procedures (Nance and Neale, 1989; Xu and Atchley, 1995) are more powerful than the approach they recommend and very similar to true ML using the distribution of ibd. The simple ML approach using the average number of shared alleles that we recommend seems to offer both optimal power and flexibility.en_HK
dc.publisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0001-8244en_HK
dc.relation.ispartofBehavior Geneticsen_HK
dc.subjectidentical by descenten_HK
dc.subjectmarker allelesen_HK
dc.subjectmaximum likelihooden_HK
dc.subjectMultipoint sib-pair analysisen_HK
dc.subjectquantitative traitsen_HK
dc.titleAn improved multipoint sib-pair analysis of quantitative traitsen_HK
dc.typeArticleen_HK
dc.identifier.emailCherny, SS: cherny@hku.hken_HK
dc.identifier.authorityCherny, SS=rp00232en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/BF02359758en_HK
dc.identifier.pmid8917952-
dc.identifier.scopuseid_2-s2.0-0029911351en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0029911351&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume26en_HK
dc.identifier.issue5en_HK
dc.identifier.spage527en_HK
dc.identifier.epage532en_HK
dc.identifier.isiWOS:A1996VN23100010-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridFulker, DW=7005792286en_HK
dc.identifier.scopusauthoridCherny, SS=7004670001en_HK

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