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Article: Novel sib pair selection strategy increases power in quantitative association analysis

TitleNovel sib pair selection strategy increases power in quantitative association analysis
Authors
KeywordsLinkage disequilibrium analysis
Quantitative trait association
Sample selection
Issue Date2009
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, 2009, v. 39 n. 5, p. 571-579 How to Cite?
AbstractQuantitative-trait association studies have been widely used in search for genetic loci for complex traits in recent years. Yet, fiscal constraints still prohibit many on-going research projects from recruiting a large number of individuals for genotyping to reach a desired level of statistical power. Accordingly, in this article, we describe a novel sib pair sampling strategy for genotyping in QTL association studies. With the use of phenotypic scores (and IBD allele-sharing probabilities if available), the genetic effect of a biallelic additive trait locus can be properly modelled within the maximum-likelihood variance components framework proposed by Fulker et al. (Am J Hum Genet 64(1):259-267, 1999) and sib pairs can be rank-ordered by use of informativeness indices. The performance of our method was investigated using simulation. The power of our approach was shown to be higher when compared with other phenotypic selection schemes. An R-script implementing all the selection approaches (including the traditional phenotype-based ones) used in the simulation is available at http://statgen.hku.hk/jshkwan. © 2009 Springer Science+Business Media, LLC.
Persistent Identifierhttp://hdl.handle.net/10722/125334
ISSN
2015 Impact Factor: 3.268
2015 SCImago Journal Rankings: 1.457
ISI Accession Number ID
Funding AgencyGrant Number
HKU7674/07M
7669/06M
Research Grants Council of Hong Kong
National Institutes of Health (USA)EY-12562
Funding Information:

This work was supported by grants HKU 7674/07M (A. W. C. K) and HKU 7669/06M (P. C. S) from the Research Grants Council of Hong Kong and grant EY-12562 (S. S. C, P. C. S) from the National Institutes of Health (USA).

References

 

DC FieldValueLanguage
dc.contributor.authorKwan, JSHen_HK
dc.contributor.authorCherny, SSen_HK
dc.contributor.authorKung, AWCen_HK
dc.contributor.authorSham, PCen_HK
dc.date.accessioned2010-10-31T11:25:15Z-
dc.date.available2010-10-31T11:25:15Z-
dc.date.issued2009en_HK
dc.identifier.citationBehavior Genetics, 2009, v. 39 n. 5, p. 571-579en_HK
dc.identifier.issn0001-8244en_HK
dc.identifier.urihttp://hdl.handle.net/10722/125334-
dc.description.abstractQuantitative-trait association studies have been widely used in search for genetic loci for complex traits in recent years. Yet, fiscal constraints still prohibit many on-going research projects from recruiting a large number of individuals for genotyping to reach a desired level of statistical power. Accordingly, in this article, we describe a novel sib pair sampling strategy for genotyping in QTL association studies. With the use of phenotypic scores (and IBD allele-sharing probabilities if available), the genetic effect of a biallelic additive trait locus can be properly modelled within the maximum-likelihood variance components framework proposed by Fulker et al. (Am J Hum Genet 64(1):259-267, 1999) and sib pairs can be rank-ordered by use of informativeness indices. The performance of our method was investigated using simulation. The power of our approach was shown to be higher when compared with other phenotypic selection schemes. An R-script implementing all the selection approaches (including the traditional phenotype-based ones) used in the simulation is available at http://statgen.hku.hk/jshkwan. © 2009 Springer Science+Business Media, LLC.en_HK
dc.languageengen_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.rightsThe original publication is available at www.springerlink.com-
dc.subjectLinkage disequilibrium analysisen_HK
dc.subjectQuantitative trait associationen_HK
dc.subjectSample selectionen_HK
dc.subject.meshAlgorithms-
dc.subject.meshAlleles-
dc.subject.meshChromosome Mapping - methods-
dc.subject.meshModels, Genetic-
dc.subject.meshQuantitative Trait Loci-
dc.titleNovel sib pair selection strategy increases power in quantitative association analysisen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0001-8244&volume=39&issue=5&spage=571&epage=579&date=2009&atitle=Novel+sib+pair+selection+strategy+increases+power+in+quantitative+association+analysisen_HK
dc.identifier.emailCherny, SS: cherny@hku.hken_HK
dc.identifier.emailKung, AWC: awckung@hku.hken_HK
dc.identifier.emailSham, PC: pcsham@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/s10519-009-9284-xen_HK
dc.identifier.pmid19568925-
dc.identifier.scopuseid_2-s2.0-69049094840en_HK
dc.identifier.hkuros173509en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-69049094840&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume39en_HK
dc.identifier.issue5en_HK
dc.identifier.spage571en_HK
dc.identifier.epage579en_HK
dc.identifier.isiWOS:000268995200012-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridKwan, JSH=37063349600en_HK
dc.identifier.scopusauthoridCherny, SS=7004670001en_HK
dc.identifier.scopusauthoridKung, AWC=7102322339en_HK
dc.identifier.scopusauthoridSham, PC=34573429300en_HK
dc.identifier.citeulike5053566-

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