Meta-analysis Methods for Genome-wide Association Studies and Beyond

Overview

Journal Nat Rev Genet

Specialty Genetics

Date 2013 May 10

PMID 23657481

Citations 294

Authors

Evangelos Evangelou

John P A Ioannidis

Affiliations

Soon will be listed here.

Abstract

Meta-analysis of genome-wide association studies (GWASs) has become a popular method for discovering genetic risk variants. Here, we overview both widely applied and newer statistical methods for GWAS meta-analysis, including issues of interpretation and assessment of sources of heterogeneity. We also discuss extensions of these meta-analysis methods to complex data. Where possible, we provide guidelines for researchers who are planning to use these methods. Furthermore, we address special issues that may arise for meta-analysis of sequencing data and rare variants. Finally, we discuss challenges and solutions surrounding the goals of making meta-analysis data publicly available and building powerful consortia.

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