dc.contributor.author | Tucker, George | en_US |
dc.contributor.author | Price, Alkes L. | en_US |
dc.contributor.author | Berger, Bonnie | en_US |
dc.date.accessioned | 2014-08-13T13:58:39Z | |
dc.date.issued | 2014 | en_US |
dc.identifier.citation | Tucker, 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.issn | 0016-6731 | en |
dc.identifier.uri | http://nrs.harvard.edu/urn-3:HUL.InstRepos:12717423 | |
dc.description.abstract | Using 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.iso | en_US | en |
dc.publisher | Genetics Society of America | en |
dc.relation.isversionof | doi:10.1534/genetics.114.164285 | en |
dc.relation.hasversion | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4096359/pdf/ | en |
dash.license | LAA | en_US |
dc.subject | Note | en |
dc.subject | mixed models | en |
dc.subject | population stratification | en |
dc.subject | GWAS | en |
dc.title | Improving the Power of GWAS and Avoiding Confounding from Population Stratification with PC-Select | en |
dc.type | Journal Article | en_US |
dc.description.version | Version of Record | en |
dc.relation.journal | Genetics | en |
dash.depositing.author | Price, Alkes L. | en_US |
dc.date.available | 2014-08-13T13:58:39Z | |
dc.identifier.doi | 10.1534/genetics.114.164285 | * |
dash.contributor.affiliated | Price, Alkes | |