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

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

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 compon...

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Bibliographic Details
Main Authors: Yiqi Yao, Alejandro Ochoa
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2023-05-01
Series:eLife
Subjects:
genetic association
statistical genetics
population structure
cryptic relatedness
complex quantitative traits
multiethnic human data and simulations
Online Access:https://elifesciences.org/articles/79238

Internet

https://elifesciences.org/articles/79238

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