META-GSA: Combining Findings from Gene-Set Analyses across Several Genome-Wide Association Studies.

ABSTRACT:

Introduction

Gene-set analysis (GSA) methods are used as complementary approaches to genome-wide association studies (GWASs). The single marker association estimates of a predefined set of genes are either contrasted with those of all remaining genes or with a null non-associated background. To pool the p-values from several GSAs, it is important to take into account the concordance of the observed patterns resulting from single marker association point estimates across any given gene set. Here we propose an enhanced version of Fisher's inverse χ2-method META-GSA, however weighting each study to account for imperfect correlation between association patterns.

Simulation and power

We investigated the performance of META-GSA by simulating GWASs with 500 cases and 500 controls a

SUBMITTER: Rosenberger A 

PROVIDER: S-EPMC4621033 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature