Assessing the impact of population stratification on genetic association studies (original) (raw)

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Acknowledgements

We thank A. Villapakkam for assistance in genotyping and data checking and K. Ardlie, D. Goldstein and C. Haiman for discussions. M.L.F. is supported by a Department of Defense Health Disparity training grant and a Postdoctoral Fellowship for Physicians from the Howard Hughes Medical Institute. D.A. is a Clinical Scholar in Translational Research from the Burroughs Wellcome Fund, as well as a Charles E. Culpeper Medical Scholar. J.N.H. and D.R. are recipients of Career Development Awards from the Burroughs Welcome Fund. T.L.P. is supported by a Canadian Institutes of Health Research Postdoctoral Fellowship and is a NARSAD Young Investigator. This work was supported in part by a grant from the Functional Genomics Program at the Whitehead Institute/MIT Center for Genome Research (supported by Affymetrix, Millennium Pharmaceuticals and Bristol Myers Squibb) and by a grant from the US National Institutes of Health to B.H. and L.K.

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Author notes

  1. Matthew L Freedman and David Reich: These authors contributed equally to this work.

Authors and Affiliations

  1. Departments of Medicine and Molecular Biology, Massachusetts General Hospital, 55 Fruit Street, Boston, 02114, Massachusetts, USA
    Matthew L Freedman, Kathryn L Penney & David Altshuler
  2. Department of Hematology-Oncology, Massachusetts General Hospital, 55 Fruit Street, Boston, 02114, Massachusetts, USA
    Matthew L Freedman & Kathryn L Penney
  3. Program in Medical and Population Genetics, Broad Institute, One Kendall Square, Building 300, Cambridge, 02139, Massachusetts, USA
    Matthew L Freedman, David Reich, Kathryn L Penney, Gavin J McDonald, Nick Patterson, Stacey B Gabriel, Tracey L Petryshen, Eric S Lander, Pamela Sklar, Joel N Hirschhorn & David Altshuler
  4. Department of Genetics, Harvard Medical School, New Research Building, 77 Avenue Louis Pasteur, Boston, 02115, Massachusetts, USA
    David Reich, Gavin J McDonald, Andre A Mignault, Joel N Hirschhorn & David Altshuler
  5. Department of Cardiovascular Medicine, Cleveland Clinic Foundation, Cleveland, Ohio, USA
    Eric J Topol
  6. Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
    Jordan W Smoller & Pamela Sklar
  7. Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts, USA
    Jordan W Smoller & Pamela Sklar
  8. Veterans Administration, Syracuse, New York, USA
    Carlos N Pato & Michele T Pato
  9. Center for Psychiatric and Molecular Genetics, SUNY/Upstate Medical University, Syracuse, New York, USA
    Carlos N Pato & Michele T Pato
  10. Cancer Etiology Program, Cancer Research Center of Hawaii, University of Hawaii, Honolulu, Hawaii, USA
    Laurence N Kolonel
  11. Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
    Eric S Lander
  12. Department of Preventative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
    Brian Henderson
  13. Divisions of Genetics and Endocrinology, Children's Hospital and Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
    Joel N Hirschhorn
  14. Diabetes Unit, Massachusetts General Hospital, 55 Fruit Street, Boston, 02114, Massachusetts, USA
    David Altshuler

Authors

  1. Matthew L Freedman
  2. David Reich
  3. Kathryn L Penney
  4. Gavin J McDonald
  5. Andre A Mignault
  6. Nick Patterson
  7. Stacey B Gabriel
  8. Eric J Topol
  9. Jordan W Smoller
  10. Carlos N Pato
  11. Michele T Pato
  12. Tracey L Petryshen
  13. Laurence N Kolonel
  14. Eric S Lander
  15. Pamela Sklar
  16. Brian Henderson
  17. Joel N Hirschhorn
  18. David Altshuler

Corresponding author

Correspondence toDavid Reich.

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Competing interests

D.A. is a paid consultant to Genomics Collaborative, which provided the previously published data set (Am. J. Hum. Genet. 71, 304–311; 2002) that was reanalyzed in this paper.

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Freedman, M., Reich, D., Penney, K. et al. Assessing the impact of population stratification on genetic association studies.Nat Genet 36, 388–393 (2004). https://doi.org/10.1038/ng1333

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