Double genomic control is not effective to correct for population stratification in meta-analysis for genome-wide association studies.

ABSTRACT: Meta-analysis of genome-wide association studies (GWAS) has become a useful tool to identify genetic variants that are associated with complex human diseases. To control spurious associations between genetic variants and disease that are caused by population stratification, double genomic control (GC) correction for population stratification in meta-analysis for GWAS has been implemented in the software METAL and GWAMA and is widely used by investigators. In this research, we conducted extensive simulation studies to evaluate the double GC correction method in meta-analysis and compared the performance of the double GC correction with that of a principal components analysis (PCA) correction method in meta-analysis. Results show that when the data consist of population stratification, using

SUBMITTER: Wang S 

PROVIDER: S-EPMC3529452 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature