SLC30A4 and chronic kidney disease: Across all four metaCCA/CCA analyses (the CKDGen, the BioBank Japan, both CKDGen and BioBank Japan, and the CKDGen, NURTuRE-CKD and SKS analyses), we identified a total of 11 genes (EXOG, FLOT1, GOSR2, NFE2L2, RPH3A, RRAGD, SLC30A4, SPTBN1, THBS3, TRAP1, TSPAN14) that colocalised with the identified 11 previously unreported lead SNPs for multivariate kidney function, in CKD-relevant tissues, and also showed differential expression between CKD and healthy individuals in two published GEO datasets.