Power Comparisons of Methods for Joint Association Analysis of Multiple Phenotypes.

Abstract excerpt

BACKGROUND/AIMS: Genome-wide association studies (GWAS) have identified many variants that each affect multiple phenotypes, which suggests that pleiotropic effects on human complex phenotypes may be widespread. Therefore, statistical methods that can jointly analyze multiple phenotypes in GWAS may have advantages over analyzing each phenotype individually. Several statistical methods have been developed to...

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