title: Meta-analysis methods for genome-wide association studies and beyond.
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.
authors: Clinical and Molecular Epidemiology Unit, Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina 45110, Greece.
authors: Evangelos
authors: E
authors: Evangelou
authors: John P A
authors: JP
authors: Ioannidis
mesh_terms: D001499:Bayes Theorem; D003627:Data Interpretation, Statistical; D018740:Genetic Heterogeneity; D055106:Genome-Wide Association Study / Q000379:methods*; D006801:Humans; D015201:Meta-Analysis as Topic; D010641:Phenotype; D012984:Software
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