Case-case genome-wide association studies (GWAS) within a single genotyped cohort have proven useful in identifying genetic variants explaining different health outcomes, yet they are limited by data availability. A new study by Peyrot and Price proposes a clever statistical method to overcome this problem by inferring case-case GWAS results from a pair of standard case-control GWAS summary statistics that need not be from the same cohort.