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Publication Detail

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

Authors: Price, Alkes L; Zaitlen, Noah A; Reich, David; Patterson, Nick

Published In Nat Rev Genet, (2010 Jul)

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.

PubMed ID: 20548291 Exiting the NIEHS site

MeSH Terms: Computer Simulation; Genome-Wide Association Study/methods*; Humans; Models, Genetic*; Polymorphism, Single Nucleotide

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