Improving the Power of GWAS and Avoiding Confounding from Population Stratification with PC-Select

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Improving the Power of GWAS and Avoiding Confounding from Population Stratification with PC-Select

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Title: Improving the Power of GWAS and Avoiding Confounding from Population Stratification with PC-Select
Author: Tucker, George; Price, Alkes L.; Berger, Bonnie

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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.
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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.
Published Version: doi:10.1534/genetics.114.164285
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4096359/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:12717423
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