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Nat Rev Genet DOI:10.1038/nrg2813

New approaches to population stratification in genome-wide association studies.

Publication TypeJournal Article
Year of Publication2010
AuthorsPrice, AL, Zaitlen, NA, Reich, D, Patterson, N
JournalNat Rev Genet
Volume11
Issue7
Pages459-63
Date Published2010 Jul
ISSN1471-0064
KeywordsComputer Simulation, Genome-Wide Association Study, Humans, Models, Genetic, Polymorphism, Single Nucleotide
Abstract

Genome-wide association (GWA) studies are an effective approach for identifying genetic variants associated with disease risk. GWA studies can be confounded by population stratification--systematic ancestry differences between cases and controls--which has previously been addressed by methods that infer genetic ancestry. Those methods perform well in data sets in which population structure is the only kind of structure present but are inadequate in data sets that also contain family structure or cryptic relatedness. Here, we review recent progress on methods that correct for stratification while accounting for these additional complexities.

URLhttp://dx.doi.org/10.1038/nrg2813
DOI10.1038/nrg2813
Pubmed

http://www.ncbi.nlm.nih.gov/pubmed/20548291?dopt=Abstract

Alternate JournalNat. Rev. Genet.
PubMed ID20548291
PubMed Central IDPMC2975875
Grant ListT32 ES007142 / ES / NIEHS NIH HHS / United States
T32 ES007142-27 / ES / NIEHS NIH HHS / United States