iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: http://www.ncbi.nlm.nih.gov/pubmed/20548291
New approaches to population stratification in genome-wide association studies - PubMed Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2010 Jul;11(7):459-63.
doi: 10.1038/nrg2813.

New approaches to population stratification in genome-wide association studies

Affiliations
Review

New approaches to population stratification in genome-wide association studies

Alkes L Price et al. 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 Disclaimer

Figures

Figure 1
Figure 1. P-P plots for visualization of stratification or other confounders
We display simulated P-P plots for genome-wide scans with no causal markers under three scenarios. (a) No stratification: P-values fit the expected distribution. (b) Stratification without unusually differentiated markers: P-values exhibit modest genome-wide inflation. (c) Stratification with unusually differentiated markers: P-value exhibit modest genome-wide inflation, plus severe inflation at a small number of markers.
Figure 1
Figure 1. P-P plots for visualization of stratification or other confounders
We display simulated P-P plots for genome-wide scans with no causal markers under three scenarios. (a) No stratification: P-values fit the expected distribution. (b) Stratification without unusually differentiated markers: P-values exhibit modest genome-wide inflation. (c) Stratification with unusually differentiated markers: P-value exhibit modest genome-wide inflation, plus severe inflation at a small number of markers.

Comment in

Similar articles

Cited by

References

    1. McCarthy MI, et al. Genome-wide association studies for complex traits: consensus, uncertainty and challenges. Nat Rev Genet. 2008;9:356–369. - PubMed
    1. Campbell CD, et al. Demonstrating stratification in a European American population. Nat Genet. 2005;37:868–872. - PubMed
    1. Tian C, Gregersen PK, Seldin MF. Accounting for ancestry: population substructure and genome-wide association studies. Hum Mol Genet. 2008;17:R143–R150. - PMC - PubMed
    1. Tian C, et al. Analysis and application of European genetic substructure using 300 K SNP information. PLoS Genet. 2008;4:e4. - PMC - PubMed
    1. Voight BF, Pritchard JK. Confounding from cryptic relatedness in case-control association studies. PLoS Genet. 2005;1:e32. - PMC - PubMed