Accounting for population stratification in practice: a comparison of the main strategies dedicated to genome-wide association studies.

ABSTRACT: Genome-Wide Association Studies are powerful tools to detect genetic variants associated with diseases. Their results have, however, been questioned, in part because of the bias induced by population stratification. This is a consequence of systematic differences in allele frequencies due to the difference in sample ancestries that can lead to both false positive or false negative findings. Many strategies are available to account for stratification but their performances differ, for instance according to the type of population structure, the disease susceptibility locus minor allele frequency, the degree of sampling imbalanced, or the sample size. We focus on the type of population structure and propose a comparison of the most commonly used methods to deal with stratification that are th

SUBMITTER: Bouaziz M 

PROVIDER: S-EPMC3244428 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature