Population Stratification and Correction with Genotype Principal Components

The canonical confounder in GWAS and the reason PCA sits in the floor.

Questions this Concept answers

Why can population stratification create a false-positive association even when a variant has no true biological effect on the trait?

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Principal Component Analysis for Correcting Population Structure in GWAS

Principal component analysis (PCA) is a dimensionality-reduction method that transforms high-dimensional genotype data (millions of SNPs per individual) into a small set of orthogonal coordinates (pr…