Principal components analysis corrects for stratification in genome-wide association studies
Alkes L. Price; Nick J. Patterson; Robert M. Plenge; Michael E. Weinblatt; Nancy A. Shadick; David Reich · Nature Genetics · 2006
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APA 7
Price, A. L, Patterson, N. J, Plenge, R. M, Weinblatt, M. E, Shadick, N. A, & Reich, D. (2006). Principal components analysis corrects for stratification in genome-wide association studies. https://doi.org/10.1038/ng1847
MLA
Price, Alkes L, et al. "Principal components analysis corrects for stratification in genome-wide association studies." 2006. https://doi.org/10.1038/ng1847.
Chicago
Price, Alkes L, Nick J. Patterson, Robert M. Plenge, Michael E. Weinblatt, Nancy A. Shadick, and David Reich. 2006. "Principal components analysis corrects for stratification in genome-wide association studies.". https://doi.org/10.1038/ng1847.
Harvard
Price, A. L. et al. 2006, Principal components analysis corrects for stratification in genome-wide association studies, Nature Genetics, available at: https://doi.org/10.1038/ng1847 [Accessed 9 Aug. 2026].
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- Title
- Principal components analysis corrects for stratification in genome-wide association studies
- Author / contributors
- Alkes L. Price; Nick J. Patterson; Robert M. Plenge; Michael E. Weinblatt; Nancy A. Shadick; David Reich
- Publisher
- Nature Genetics
- Publication year
- 2006
- Language
- English
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