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Nature Genetics 40, 491–492 (1 May 2008) | doi:10.1038/ng0508-491
Principal component analysis of genetic data
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Abstract
Principal component analysis (PCA) has been used for several decades to study human population migrations, resulting in remarkable inferences about history. On page 646 of this issue, John Novembre and Matthew Stephens show that the geographic gradients that emerge when PCA is applied to genetic data—and that are sometimes interpreted as highly suggestive of major historical migrations—can also have other explanations.
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