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Article

Limitations of principal components in quantitative genetic association models for human studies.

eLife - 4 May 2023

Yao Yiqi, Ochoa Alejandro

Abstract excerpt

Principal Component Analysis (PCA) and the Linear Mixed-effects Model (LMM), sometimes in combination, are the most common genetic association models. Previous PCA-LMM comparisons give mixed results, unclear guidance, and have several limitations, including not varying the number of principal components (PCs), simulating simple population structures, and inconsistent use of real data and power evaluations. We...

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PMID: 37140344
DOI: 10.7554/eLife.79238
PMCID: PMC10234632

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