An empirical comparison of meta-analysis and mega-analysis of individual participant data for identifying gene-environment interactions.

ABSTRACT: For analysis of the main effects of SNPs, meta-analysis of summary results from individual studies has been shown to provide comparable results as "mega-analysis" that jointly analyzes the pooled participant data from the available studies. This fact revolutionized the genetic analysis of complex traits through large GWAS consortia. Investigations of gene-environment (G×E) interactions are on the rise since they can potentially explain a part of the missing heritability and identify individuals at high risk for disease. However, for analysis of gene-environment interactions, it is not known whether these methods yield comparable results. In this empirical study, we report that the results from both methods were largely consistent for all four tests; the standard 1 degree of freedom (df) te

SUBMITTER: Sung YJ 

PROVIDER: S-EPMC4332385 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature