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Conference Paper: Selection strategies for sib-pair association studies

TitleSelection strategies for sib-pair association studies
Authors
Issue Date2009
PublisherSpringer
Citation
39th Annual Meeting of the Behavior Genetics Association, Minneapolis, MN, 17-20 June 2009. In Behavior Genetics, 2009, v. 39 n. 6, p. 641 How to Cite?
AbstractQuantitative-trait association studies are a common approach in behavior genetics research. When a large number of sibships have already been phenotyped but one can only afford to genotype a subset of the available sample, it is desirable to optimize the choice of who to genotype. This poster presents a novel sib-pair sampling strategy for genotyping in QTL association studies, both when only phenotype information is available and also when using a previously genotyped sample from a linkage study with a positive finding to be confirmed and fine-mapped. We show how the genetic effect of a diallelic additive trait locus can be modeled within the maximum-likelihood variance components framework proposed by Fulker et al. (1999) and sib pairs rank-ordered by their informativeness for association. The performance of our method was investigated via simulation. We demonstrate increased power when selecting sib pairs for genotyping based on identity by descent information from a previous linkage study, as compared to using only the phenotypic information. An R-script implementing the selection approaches (including traditional phenotype-based ones) is available for download at https://statgen. hku.hk/jshkwan.
Persistent Identifierhttp://hdl.handle.net/10722/62347
ISSN
2015 Impact Factor: 3.268
2015 SCImago Journal Rankings: 1.457

 

DC FieldValueLanguage
dc.contributor.authorCherny, SSen_HK
dc.contributor.authorKwan, SHen_HK
dc.contributor.authorKung, AWCen_HK
dc.contributor.authorSham, PCen_HK
dc.date.accessioned2010-07-13T03:59:19Z-
dc.date.available2010-07-13T03:59:19Z-
dc.date.issued2009en_HK
dc.identifier.citation39th Annual Meeting of the Behavior Genetics Association, Minneapolis, MN, 17-20 June 2009. In Behavior Genetics, 2009, v. 39 n. 6, p. 641en_HK
dc.identifier.issn0001-8244-
dc.identifier.urihttp://hdl.handle.net/10722/62347-
dc.description.abstractQuantitative-trait association studies are a common approach in behavior genetics research. When a large number of sibships have already been phenotyped but one can only afford to genotype a subset of the available sample, it is desirable to optimize the choice of who to genotype. This poster presents a novel sib-pair sampling strategy for genotyping in QTL association studies, both when only phenotype information is available and also when using a previously genotyped sample from a linkage study with a positive finding to be confirmed and fine-mapped. We show how the genetic effect of a diallelic additive trait locus can be modeled within the maximum-likelihood variance components framework proposed by Fulker et al. (1999) and sib pairs rank-ordered by their informativeness for association. The performance of our method was investigated via simulation. We demonstrate increased power when selecting sib pairs for genotyping based on identity by descent information from a previous linkage study, as compared to using only the phenotypic information. An R-script implementing the selection approaches (including traditional phenotype-based ones) is available for download at https://statgen. hku.hk/jshkwan.-
dc.languageengen_HK
dc.publisherSpringer-
dc.relation.ispartofBehavior Genetics-
dc.titleSelection strategies for sib-pair association studiesen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailCherny, SS: cherny@hku.hken_HK
dc.identifier.emailKwan, SH: kwansh@gmail.comen_HK
dc.identifier.emailKung, AWC: awckung@hku.hken_HK
dc.identifier.emailSham, PC: pcsham@HKUCC.hku.hken_HK
dc.identifier.authorityCherny, SS=rp00232en_HK
dc.identifier.authorityKung, AWC=rp00368en_HK
dc.identifier.authoritySham, PC=rp00459en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s10519-009-9307-7-
dc.identifier.hkuros159517en_HK

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