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Principal component analysis of genetic data

Nature Genetics 40, 491–492 (2008) | Download Citation

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Principal component analysis (PCA) has been a useful tool for analysis of genetic data, particularly in studies of human migration. A new study finds evidence that the observed geographic gradients, traditionally thought to represent major historical migrations, may in fact have other interpretations.

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Affiliations

  1. David Reich and Alkes L. Price are at the Department of Genetics, Harvard Medical School, New Research Building, 77 Avenue Louis Pasteur, Boston, Massachusetts 02115, USA.

    • David Reich
    •  & Alkes L Price

  2. Nick Patterson is at the Broad Institute of Harvard and the Massachusetts Institute of Technology, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA. reich@genetics.med.harvard.edu

    • Nick Patterson

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DOI

https://doi.org/10.1038/ng0508-491

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