Article

Adjusting for principal components can induce spurious associations in genome-wide association studies in admixed populations

2024-04-03

Abstract excerpt

Principal component analysis (PCA) is widely used to control for population structure in genome-wide association studies (GWAS). Top principal components (PCs) typically reflect population structure, but challenges arise in deciding how many PCs are needed and ensuring that PCs do not capture other artifacts such as regions with atypical linkage disequilibrium (LD). In response to the latter, many groups suggest p...

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Literature Corpus work: 9145e101-e417-513f-beef-ecaa7af6665f
DOI: 10.1101/2024.04.02.587682

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