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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
2013 Impact Factor: 1.642
 
DOIhttp://dx.doi.org/10.1159/000053350
 
ISI Accession Number IDWOS:000168976300001
 
ReferencesReferences in Scopus
 
DC FieldValue
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
2013 Impact Factor: 1.642
 
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
 
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<contributor.author>Hewitt, JK</contributor.author>
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Author Affiliations
  1. Social
  2. SGDP Research Centre
  3. University of Colorado at Boulder
  4. Wellcome Trust Centre for Human Genetics