Higher eQTL power reveals signals that boost GWAS colocalization

Rosen et al. quantify how eQTL study sample size influences signal discovery and GWAS colocalization. Integrating evidence from recent eQTL studies, they show that limited statistical power influences the comparison of GWAS and eQTL studies. Well-powered eQTL datasets uncover additional signals, substantially increasing GWAS colocalization rates compared with smaller studies.