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Article: Properties of structured association approaches to detecting population stratification

TitleProperties of structured association approaches to detecting population stratification
Authors
Purcell, SSham, P
KeywordsGenomic control
Lateral class analysis
Linkage disequilibrium
Population stratification
Structured association
Issue Date2004
PublisherS Karger AG. The Journal's web site is located at http://www.karger.com/HHE
Citation
Human Heredity, 2004, v. 58 n. 2, p. 93-107 How to Cite?
DOI: http://dx.doi.org/10.1159/000083030
AbstractObjective: To examine the properties of the structured association approach for the detection and correction of population stratification. Method: A method is developed, within a latent class analysis framework, similar to the methods proposed by Satten et al. (2001) and Pritchard et al. (2000). A series of simulations illustrate the relative impact of number and type of loci, sample size and population structure. Results: The ability to detect stratification and assign individuals to population strata is determined for a number of different scenarios. Conclusion: The results underline the importance of careful marker selection. Copyright © 2004 S. Karger AG.
Persistent Identifierhttp://hdl.handle.net/10722/175926
ISSN
0001-5652
2021 Impact Factor: 1.455
2020 SCImago Journal Rankings: 0.423
ISI Accession Number ID
WOS:000226979500005
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorPurcell, Sen_US
dc.contributor.authorSham, Pen_US
dc.date.accessioned2012-11-26T09:02:34Z-
dc.date.available2012-11-26T09:02:34Z-
dc.date.issued2004en_US
dc.identifier.citationHuman Heredity, 2004, v. 58 n. 2, p. 93-107en_US
dc.identifier.issn0001-5652en_US
dc.identifier.urihttp://hdl.handle.net/10722/175926-
dc.description.abstractObjective: To examine the properties of the structured association approach for the detection and correction of population stratification. Method: A method is developed, within a latent class analysis framework, similar to the methods proposed by Satten et al. (2001) and Pritchard et al. (2000). A series of simulations illustrate the relative impact of number and type of loci, sample size and population structure. Results: The ability to detect stratification and assign individuals to population strata is determined for a number of different scenarios. Conclusion: The results underline the importance of careful marker selection. Copyright © 2004 S. Karger AG.en_US
dc.languageengen_US
dc.publisherS Karger AG. The Journal's web site is located at http://www.karger.com/HHEen_US
dc.relation.ispartofHuman Heredityen_US
dc.subjectGenomic control-
dc.subjectLateral class analysis-
dc.subjectLinkage disequilibrium-
dc.subjectPopulation stratification-
dc.subjectStructured association-
dc.subject.meshAlgorithmsen_US
dc.subject.meshComputer Simulationen_US
dc.subject.meshData Interpretation, Statisticalen_US
dc.subject.meshGene Frequencyen_US
dc.subject.meshGenetics, Population - Statistics & Numerical Dataen_US
dc.subject.meshHumansen_US
dc.subject.meshLinkage Disequilibriumen_US
dc.titleProperties of structured association approaches to detecting population stratificationen_US
dc.typeArticleen_US
dc.identifier.emailSham, P: pcsham@hku.hken_US
dc.identifier.authoritySham, P=rp00459en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1159/000083030en_US
dc.identifier.pmid15711089-
dc.identifier.scopuseid_2-s2.0-18444396148en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-18444396148&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume58en_US
dc.identifier.issue2en_US
dc.identifier.spage93en_US
dc.identifier.epage107en_US
dc.identifier.isiWOS:000226979500005-
dc.publisher.placeSwitzerlanden_US
dc.identifier.scopusauthoridPurcell, S=7005489464en_US
dc.identifier.scopusauthoridSham, P=34573429300en_US
dc.identifier.issnl0001-5652-

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