GWAS Meta-Analysis and Heterogeneity across Cohorts

Most large GWAS are meta-analyses; heterogeneity is a warning sign when transferring effects across ancestries.

Questions this Concept answers

Why is heterogeneity across cohorts assessed (for example with an \( I^{2} \) statistic) after a GWAS meta-analysis?

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Meta-Analysis of GWAS Summary Statistics in Statistical Genetics

GWAS meta-analysis combines summary statistics from independently-run genome-wide association studies to estimate a combined effect per variant, increase statistical power, assess cross-cohort hetero…