Choice of population structure informative principal components for adjustment in a case-control study.

ABSTRACT:

Background

There are many ways to perform adjustment for population structure. It remains unclear what the optimal approach is and whether the optimal approach varies by the type of samples and substructure present. The simplest and most straightforward approach is to adjust for the continuous principal components (PCs) that capture ancestry. Through simulation, we explored the issue of which ancestry informative PCs should be adjusted for in an association model to control for the confounding nature of population structure while maintaining maximum power. A thorough examination of selecting PCs for adjustment in a case-control study across the possible structure scenarios that could occur in a genome-wide association study has not been previously reported.

Results

We found

SUBMITTER: Peloso GM 

PROVIDER: S-EPMC3150322 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature