New approaches to population stratification in genome-wide association studies.
Nat Rev Genet
Authors | |
Keywords | |
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. |
Year of Publication | 2010
|
Journal | Nat Rev Genet
|
Volume | 11
|
Issue | 7
|
Pages | 459-63
|
Date Published | 2010 Jul
|
ISSN | 1471-0064
|
URL | |
DOI | 10.1038/nrg2813
|
PubMed ID | 20548291
|
PubMed Central ID | PMC2975875
|
Links | |
Grant list | T32 ES007142 / ES / NIEHS NIH HHS / United States
T32 ES007142-27 / ES / NIEHS NIH HHS / United States
|