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Nat Rev Genet. 2013 Jun;14(6):379-89. doi: 10.1038/nrg3472. Epub 2013 May 9.

Meta-analysis methods for genome-wide association studies and beyond.

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1
Clinical and Molecular Epidemiology Unit, Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina 45110, Greece.

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.

PMID:
23657481
DOI:
10.1038/nrg3472
[Indexed for MEDLINE]
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