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Chunk #8 — INTRODUCTION

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Optimizing the power of genome-wide association studies by using publicly available reference samples to expand the control group.
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et al., 1978]. The EIGENSTRAT method makes use of axes of genetic variation, estimated from genome-wide genotype data, to continuously adjust the genotypes and phenotypes by amounts attributable to ancestry along each of these axes [Patterson et al., 2006]. By then, testing for association between these ancestry adjusted phenotype and genotype values, cases and controls are effectively genetically matched, thus correcting for the underlying genetic population structure and reducing the inflation in the false-positive error rate [Price et al., 2006].