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Chunk #7 — PART 1: EMPIRICAL APPRAISAL OF PUBLISHED GWA META-ANALYSES — 1.1. METHODS

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The power of meta-analysis in genome-wide association studies.
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From each eligible GWA report and the corresponding meta-analyses, we extracted the following information: first author, year and journal of publication, disease/trait, sample size in the discovery and replication stages, population ancestries in the discovery and replication stages, platform used for genotyping and SNPs passing quality control, number of datasets combined through meta-analysis in the discovery stage, method of synthesis (i.e. fixed-effects, random-effects, other), heterogeneity testing, threshold used for determining genome-wide significance, imputation methods and number of imputed SNPs, quality control, criteria for replication, generalizability to diverse ancestry groups, extension to testing for diverse phenotypes and which, phenotypic cross-checks performed, and finally functional analyses performed.