Article

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

2022-03-27

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 eval...

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Literature Corpus work: cd42ea93-1d55-5329-9434-d9f78c6cb301
DOI: 10.1101/2022.03.25.485885

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