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Evaluation of population structure inferred by principal component analysis or the admixture model

2023-06-09

Abstract excerpt

Principal component analysis (PCA) is commonly used in genetics to infer and visualize population structure and admixture between populations. PCA is often interpreted in a way similar to inferred admixture proportions, where it is assumed that individuals belong to one of several possible populations or are admixed between these populations. We propose a new method to assess the statistical fit of PCA (interprete...

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Literature Corpus work
ec796d17-f2ad-5c83-9511-1a0f9ff8cf52
DOI
10.1101/2023.06.06.543934
Open publication

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Evaluation of population structure inferred by principal component analysis or the admixture modelDOI 10.1101/2023.06.06.543934
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