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Article: Application of genome-wide SNP data for uncovering pairwise relationships and quantitative trait loci

TitleApplication of genome-wide SNP data for uncovering pairwise relationships and quantitative trait loci
Authors
KeywordsAssociation
Genome-wide
Heritability
Identity-by-descent (IBD)
Linkage
Quantitative genetics
Single nucleotide polymorphisms (SNP)
Variance components
Issue Date2009
PublisherSpringer Verlag Dordrecht. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0016-6707
Citation
Genetica, 2009, v. 136 n. 2, p. 237-243 How to Cite?
Abstract
The genetic analysis of quantitative traits in humans is changing as a result of the availability of whole-genome SNP data. Heritability analysis can make use of actual genetic sharing between pairs of individuals estimated from the genotype data, rather than the expected genetic sharing implied by their family relationship. This could provide more accurate heritability estimates and help to overcome the equal environment assumption. Quantitative trait locus (QTL) linkage mapping can make use of local genetic sharing inferred from very dense local genotype data from pedigree members or individuals not previously known to be related. This approach may be particularly suited for detecting loci that contain rare variants with major effect on the phenotype. Finally, whole-genome SNP data can be used to measure the genetic similarity between individuals to provide matched sets for association studies, in order to avoid spurious association from population stratification. © 2009 Springer Science+Business Media B.V.
Persistent Identifierhttp://hdl.handle.net/10722/59731
ISSN
2013 Impact Factor: 1.746
ISI Accession Number ID
References

 

Author Affiliations
  1. Massachusetts General Hospital
  2. The University of Hong Kong
DC FieldValueLanguage
dc.contributor.authorSham, PCen_HK
dc.contributor.authorCherny, SSen_HK
dc.contributor.authorPurcell, Sen_HK
dc.date.accessioned2010-05-31T03:56:15Z-
dc.date.available2010-05-31T03:56:15Z-
dc.date.issued2009en_HK
dc.identifier.citationGenetica, 2009, v. 136 n. 2, p. 237-243en_HK
dc.identifier.issn0016-6707en_HK
dc.identifier.urihttp://hdl.handle.net/10722/59731-
dc.description.abstractThe genetic analysis of quantitative traits in humans is changing as a result of the availability of whole-genome SNP data. Heritability analysis can make use of actual genetic sharing between pairs of individuals estimated from the genotype data, rather than the expected genetic sharing implied by their family relationship. This could provide more accurate heritability estimates and help to overcome the equal environment assumption. Quantitative trait locus (QTL) linkage mapping can make use of local genetic sharing inferred from very dense local genotype data from pedigree members or individuals not previously known to be related. This approach may be particularly suited for detecting loci that contain rare variants with major effect on the phenotype. Finally, whole-genome SNP data can be used to measure the genetic similarity between individuals to provide matched sets for association studies, in order to avoid spurious association from population stratification. © 2009 Springer Science+Business Media B.V.en_HK
dc.languageengen_HK
dc.publisherSpringer Verlag Dordrecht. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0016-6707en_HK
dc.relation.ispartofGeneticaen_HK
dc.subjectAssociationen_HK
dc.subjectGenome-wideen_HK
dc.subjectHeritabilityen_HK
dc.subjectIdentity-by-descent (IBD)en_HK
dc.subjectLinkageen_HK
dc.subjectQuantitative geneticsen_HK
dc.subjectSingle nucleotide polymorphisms (SNP)en_HK
dc.subjectVariance componentsen_HK
dc.titleApplication of genome-wide SNP data for uncovering pairwise relationships and quantitative trait locien_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0016-6707&volume=136&spage=237&epage=243&date=2009&atitle=Application+of+genome-wide+SNP+data+for+uncovering+pairwise+relationships+and+quantitative+trait+loci+en_HK
dc.identifier.emailSham, PC: pcsham@hku.hken_HK
dc.identifier.emailCherny, SS: cherny@hku.hken_HK
dc.identifier.authoritySham, PC=rp00459en_HK
dc.identifier.authorityCherny, SS=rp00232en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s10709-008-9349-4en_HK
dc.identifier.pmid19127410en_HK
dc.identifier.scopuseid_2-s2.0-67349285774en_HK
dc.identifier.hkuros154399en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-67349285774&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume136en_HK
dc.identifier.issue2en_HK
dc.identifier.spage237en_HK
dc.identifier.epage243en_HK
dc.identifier.isiWOS:000265818900004-
dc.publisher.placeNetherlandsen_HK
dc.identifier.scopusauthoridSham, PC=34573429300en_HK
dc.identifier.scopusauthoridCherny, SS=7004670001en_HK
dc.identifier.scopusauthoridPurcell, S=7005489464en_HK
dc.identifier.citeulike3871463-

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