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. © 2013 Macmillan Publishers Limited.
CITATION STYLE
Evangelou, E., & Ioannidis, J. P. A. (2013, June). Meta-analysis methods for genome-wide association studies and beyond. Nature Reviews Genetics. https://doi.org/10.1038/nrg3472
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