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Improving the power of GWAS and avoiding confounding from population stratification with PC-Select.


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.

SUBMITTER: Tucker G 

PROVIDER: S-EPMC4096359 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature

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Improving the power of GWAS and avoiding confounding from population stratification with PC-Select.

Tucker George G   Price Alkes L AL   Berger Bonnie B  

Genetics 20140429 3


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. ...[more]

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