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Conference Paper: Selecting maximally informative sibships for OTL association analysis

TitleSelecting maximally informative sibships for OTL association analysis
Authors
Issue Date1999
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 Behavior Genetics Association Meeting: Abstracts. In Behavior Genetics, 1999, v. 29 n. 5, p. 367 How to Cite?
AbstractFulker et al. (1999, have Am. J. Hum. Genet. 64, 259-267) have proposed a partitioning of association to between-sibship and within-sibship components and shown that a test based on the within-sibship variance is robust to population stratification. As in QTL linkage analysis, the efficiency of an association design may be improved by selecting phenotypically extreme sibships. We have developed a method of measuring the informativeness of sibships for QTL association analysis, in terms of the expected contributions of the sibship to the likelihood-ratio chi-square tests for between-sibship and within-sibship association. These expected contributions are calculated conditional on the measured trait values of the siblings, under a biometrical genetic model where QTL effects are parameterized by allele frequencies and genotypic means, and which allows for residual sibling correlations. This presentation will describe the method and its implementation in a freely-distributed computer program.
DescriptionThis journal issue pp. 349-375 entitled: Behavior Genetics Association Meeting: Abstracts
Persistent Identifierhttp://hdl.handle.net/10722/143681
ISSN
2015 Impact Factor: 3.268
2015 SCImago Journal Rankings: 1.457

 

DC FieldValueLanguage
dc.contributor.authorPurcell, Sen_US
dc.contributor.authorCherny, SSen_US
dc.contributor.authorRijsdijk, Fen_US
dc.contributor.authorHewitt, JKen_US
dc.contributor.authorSham, PCen_US
dc.date.accessioned2011-12-16T08:09:27Z-
dc.date.available2011-12-16T08:09:27Z-
dc.date.issued1999en_US
dc.identifier.citationThe Behavior Genetics Association Meeting: Abstracts. In Behavior Genetics, 1999, v. 29 n. 5, p. 367en_US
dc.identifier.issn0001-8244en_US
dc.identifier.urihttp://hdl.handle.net/10722/143681-
dc.descriptionThis journal issue pp. 349-375 entitled: Behavior Genetics Association Meeting: Abstracts-
dc.description.abstractFulker et al. (1999, have Am. J. Hum. Genet. 64, 259-267) have proposed a partitioning of association to between-sibship and within-sibship components and shown that a test based on the within-sibship variance is robust to population stratification. As in QTL linkage analysis, the efficiency of an association design may be improved by selecting phenotypically extreme sibships. We have developed a method of measuring the informativeness of sibships for QTL association analysis, in terms of the expected contributions of the sibship to the likelihood-ratio chi-square tests for between-sibship and within-sibship association. These expected contributions are calculated conditional on the measured trait values of the siblings, under a biometrical genetic model where QTL effects are parameterized by allele frequencies and genotypic means, and which allows for residual sibling correlations. This presentation will describe the method and its implementation in a freely-distributed computer program.-
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.titleSelecting maximally informative sibships for OTL association analysisen_US
dc.typeConference_Paperen_US
dc.identifier.emailCherny, SS: cherny@hku.hken_US
dc.identifier.authorityCherny, SS=rp00232en_US
dc.identifier.doi10.1023/A:1021614018034-
dc.identifier.volume29en_US
dc.identifier.issue5-
dc.identifier.spage367en_US
dc.identifier.epage367en_US
dc.customcontrol.immutablesml 140918-

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