Article: Optimal sibship selection for genotyping in quantitative trait locus linkage analysis

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TitleOptimal sibship selection for genotyping in quantitative trait locus linkage analysis
AuthorsPurcell, S1 2
Cherny, SS1 4
Hewitt, JK3
Sham, PC1
KeywordsLinkage
Methodology
Quantitative trait loci
Selection
Sibs
Variance components
Issue Date2001
PublisherS Karger AG. The Journal's web site is located at http://www.karger.com/HHE
CitationHuman Heredity, 2001, v. 52 n. 1, p. 1-13 [How to Cite?]
DOI: http://dx.doi.org/10.1159/000053350
AbstractIn this paper we present a novel method for selecting optimally informative sibships of any size for quantitative trait locus (QTL) linkage analysis. The method allocates a quantitative index of potential informativeness to each sibship on the basis of observed trait scores and an assumed true QTL model. Any sample of phenotypically screened sibships can therefore be easily rank-ordered for selective genotyping. The quantitative index is the sibship's expected contribution to the non-centrality parameter. This expectation represents the weighted sum of χ2 test statistics that would be obtained given the observed trait values over all possible sibship genotypic configurations; each configuration is weighted by the likelihood of it occurring given the assumed true genetic model. The properties of this procedure are explored in relation to the accuracy of the assumed true genetic model and sibship size. In comparison to previous methods of selecting phenotypically extreme sibships for genotyping, the proposed method is considerably more efficient and is robust with regard to the specification of the genetic model. Copyright © 2001 S. Karger AG, Basel.
ISSN0001-5652
2011 Impact Factor: 1.789
2011 SCImago Journal Rankings: 0.335
DOIhttp://dx.doi.org/10.1159/000053350
ISI Accession Number IDWOS:000168976300001
ReferencesReferences in Scopus
DC Field
Value
dc.contributor.authorPurcell, S
dc.contributor.authorCherny, SS
dc.contributor.authorHewitt, JK
dc.contributor.authorSham, PC
dc.date.accessioned2011-12-16T08:09:25Z
dc.date.available2011-12-16T08:09:25Z
dc.date.issued2001
dc.description.abstractIn this paper we present a novel method for selecting optimally informative sibships of any size for quantitative trait locus (QTL) linkage analysis. The method allocates a quantitative index of potential informativeness to each sibship on the basis of observed trait scores and an assumed true QTL model. Any sample of phenotypically screened sibships can therefore be easily rank-ordered for selective genotyping. The quantitative index is the sibship's expected contribution to the non-centrality parameter. This expectation represents the weighted sum of χ2 test statistics that would be obtained given the observed trait values over all possible sibship genotypic configurations; each configuration is weighted by the likelihood of it occurring given the assumed true genetic model. The properties of this procedure are explored in relation to the accuracy of the assumed true genetic model and sibship size. In comparison to previous methods of selecting phenotypically extreme sibships for genotyping, the proposed method is considerably more efficient and is robust with regard to the specification of the genetic model. Copyright © 2001 S. Karger AG, Basel.
dc.description.natureLink_to_subscribed_fulltext
dc.identifier.citationHuman Heredity, 2001, v. 52 n. 1, p. 1-13 [How to Cite?]
DOI: http://dx.doi.org/10.1159/000053350
dc.identifier.doihttp://dx.doi.org/10.1159/000053350
dc.identifier.epage13
dc.identifier.isiWOS:000168976300001
dc.identifier.issn0001-5652
2011 Impact Factor: 1.789
2011 SCImago Journal Rankings: 0.335
dc.identifier.issue1
dc.identifier.pmid11359064
dc.identifier.scopuseid_2-s2.0-0035007458
dc.identifier.spage1
dc.identifier.urihttp://hdl.handle.net/10722/143680
dc.identifier.volume52
dc.publisherS Karger AG. The Journal's web site is located at http://www.karger.com/HHE
dc.publisher.placeSwitzerland
dc.relation.ispartofHuman Heredity
dc.relation.referencesReferences in Scopus
dc.subjectLinkage
dc.subjectMethodology
dc.subjectQuantitative trait loci
dc.subjectSelection
dc.subjectSibs
dc.subjectVariance components
dc.titleOptimal sibship selection for genotyping in quantitative trait locus linkage analysis
dc.typeArticle
Author Affiliations
  1. Social
  2. SGDP Research Centre
  3. University of Colorado at Boulder
  4. Wellcome Trust Centre for Human Genetics