News and Views


Nature Genetics 40, 491 - 492 (2008)
doi:10.1038/ng0508-491

Principal component analysis of genetic data

David Reich1, Alkes L Price1 & Nick Patterson2

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


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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