Multivariate Meta-Analysis of Genetic Association Studies: A Simulation Study.

ABSTRACT: In a meta-analysis with multiple end points of interests that are correlated between or within studies, multivariate approach to meta-analysis has a potential to produce more precise estimates of effects by exploiting the correlation structure between end points. However, under random-effects assumption the multivariate estimation is more complex (as it involves estimation of more parameters simultaneously) than univariate estimation, and sometimes can produce unrealistic parameter estimates. Usefulness of multivariate approach to meta-analysis of the effects of a genetic variant on two or more correlated traits is not well understood in the area of genetic association studies. In such studies, genetic variants are expected to roughly maintain Hardy-Weinberg equilibrium within studies, and

SUBMITTER: Neupane B 

PROVIDER: S-EPMC4509672 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature