Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Principal component analysis of genetic data

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.

Access options

Rent or Buy article

Get time limited or full article access on ReadCube.

from$8.99

All prices are NET prices.

Figure 1: PCA continues to provide evidence of important migration events.

References

  1. 1

    Novembre, J. & Stephens, M. Nat. Genet. 40, 646–649 (2008).

    CAS  Article  Google Scholar 

  2. 2

    Menozzi, P., Piazza, A. & Cavalli-Sforza, L. Science 201, 786–792 (1978).

    CAS  Article  Google Scholar 

  3. 3

    Cavalli-Sforza, L.L., Menozzi, P. & Piazza, A. The History and Geography of Human Genes. (Princeton University Press, Princeton, New Jersey, 1994).

    Google Scholar 

  4. 4

    Sokal, R.R., Oden, N.L. & Wilson, C. Nature 351, 143–145 (1991).

    CAS  Article  Google Scholar 

  5. 5

    Semino, O. et al. Am. J. Hum. Genet. 74, 1023–1034 (2004).

    CAS  Article  Google Scholar 

  6. 6

    Pinhasi, R. et al. PLoS Biol. 3, e410 (2005).

    Article  Google Scholar 

  7. 7

    Haak, W. et al. Science 310, 1016–1018 (2005).

    CAS  PubMed  PubMed Central  Google Scholar 

  8. 8

    Patterson, N., Price, A. & Reich, D. PLoS Genet. 2, e190 (2006).

    Article  Google Scholar 

  9. 9

    Price, A.L. et al. Nat. Genet. 38, 904–909 (2006).

    CAS  Article  Google Scholar 

  10. 10

    Zhu, X. & Li, S. Am. J. Hum. Genet. 82, 352–365 (2008).

    CAS  Article  Google Scholar 

  11. 11

    Li, J.Z. et al. Science 319, 1100–1104 (2008).

    CAS  Article  Google Scholar 

  12. 12

    Mellars, P. Science 313, 796–800 (2006).

    CAS  Article  Google Scholar 

  13. 13

    Handley, L.J.L., Manica, A., Goudet, J. & Balloux, F. Trends Genet. 23, 432–439 (2007).

    CAS  Article  Google Scholar 

Download references

Author information

Affiliations

Authors

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Reich, D., Price, A. & Patterson, N. Principal component analysis of genetic data. Nat Genet 40, 491–492 (2008). https://doi.org/10.1038/ng0508-491

Download citation

Further reading

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing