New approaches to population stratification in genome-wide association studies
- PMID: 20548291
- PMCID: PMC2975875
- DOI: 10.1038/nrg2813
New approaches to population stratification in genome-wide association studies
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.
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Comment in
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Response to Sul and Eskin.Nat Rev Genet. 2013 Apr;14(4):300. doi: 10.1038/nrg2813-c2. Epub 2013 Feb 26. Nat Rev Genet. 2013. PMID: 23438870 Free PMC article. No abstract available.
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Mixed models can correct for population structure for genomic regions under selection.Nat Rev Genet. 2013 Apr;14(4):300. doi: 10.1038/nrg2813-c1. Epub 2013 Feb 26. Nat Rev Genet. 2013. PMID: 23438871 No abstract available.
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