Journal
NATURE REVIEWS GENETICS
Volume 11, Issue 7, Pages 459-463Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/nrg2813
Keywords
-
Categories
Funding
- NIEHS NIH HHS [T32 ES007142, T32 ES007142-27] Funding Source: Medline
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available