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dc.contributor.authorTucker, Georgeen_US
dc.contributor.authorPrice, Alkes L.en_US
dc.contributor.authorBerger, Bonnieen_US
dc.date.accessioned2014-08-13T13:58:39Z
dc.date.issued2014en_US
dc.identifier.citationTucker, George, Alkes L. Price, and Bonnie Berger. 2014. “Improving the Power of GWAS and Avoiding Confounding from Population Stratification with PC-Select.” Genetics 197 (3): 1045-1049. doi:10.1534/genetics.114.164285. http://dx.doi.org/10.1534/genetics.114.164285.en
dc.identifier.issn0016-6731en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:12717423
dc.description.abstractUsing a reduced subset of SNPs in a linear mixed model can improve power for genome-wide association studies, yet this can result in insufficient correction for population stratification. We propose a hybrid approach using principal components that does not inflate statistics in the presence of population stratification and improves power over standard linear mixed models.en
dc.language.isoen_USen
dc.publisherGenetics Society of Americaen
dc.relation.isversionofdoi:10.1534/genetics.114.164285en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4096359/pdf/en
dash.licenseLAAen_US
dc.subjectNoteen
dc.subjectmixed modelsen
dc.subjectpopulation stratificationen
dc.subjectGWASen
dc.titleImproving the Power of GWAS and Avoiding Confounding from Population Stratification with PC-Selecten
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalGeneticsen
dash.depositing.authorPrice, Alkes L.en_US
dc.date.available2014-08-13T13:58:39Z
dc.identifier.doi10.1534/genetics.114.164285*
dash.contributor.affiliatedPrice, Alkes


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