Re-analysis and meta-analysis of summary statistics from gene-environment interaction studies.

ABSTRACT:

Motivation

statistics from genome-wide association studies enable many valuable downstream analyses that are more efficient than individual-level data analysis while also reducing privacy concerns. As growing sample sizes enable better-powered analysis of gene-environment interactions, there is a need for gene-environment interaction-specific methods that manipulate and use summary statistics.

Results

We introduce two tools to facilitate such analysis, with a focus on statistical models containing multiple gene-exposure and/or gene-covariate interaction terms. REGEM (RE-analysis of GEM summary statistics) uses summary statistics from a single, multi-exposure genome-wide interaction study to derive analogous sets of summary statistics with arbitrary sets of exposures and inte

SUBMITTER: Pham DT 

PROVIDER: S-EPMC10724851 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature