A catalog of genetic loci associated with kidney function from analyses of a million individuals

Matthias Wuttke, Yong Li, Man Li, Karsten B. Sieber, Mary F. Feitosa, Mathias Gorski, Adrienne Tin, Lihua Wang, Audrey Y. Chu, Anselm Hoppmann, Holger Kirsten, Ayush Giri, Jin-Fang Chai, Gardar Sveinbjornsson, Bamidele O. Tayo, Teresa Nutile, Christian Fuchsberger, Jonathan Marten, Massimiliano Cocca, Sahar GhasemiYizhe Xu, Katrin Horn, Damia Noce, Peter J. van der Most, Sanaz Sedaghat, Zhi Yu, Masato Akiyama, Saima Afaq, Tarunveer S. Ahluwalia, Peter Almgren, Najaf Amin, Johan Ärnlöv, Stephan J. L. Bakker, Nisha Bansal, Daniela Baptista, Sven Bergmann, Mary L. Biggs, Ginevra Biino, Michael Boehnke, Eric Boerwinkle, Mathilde Boissel, Erwin P. Bottinger, Thibaud S. Boutin, Hermann Brenner, Marco Brumat, Ralph Burkhardt, Adam S. Butterworth, Eric Campana, Yuri Milaneschi, Brenda W. J. H. Penninx, Anna Köttgen, Cristian Pattaro, Lifelines Cohort Study, V. A. Million Veteran Program

Research output: Contribution to journalArticleAcademicpeer-review


Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through trans-ancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these, 147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.
Original languageEnglish
Pages (from-to)957-972
JournalNature Genetics
Issue number6
Publication statusPublished - 1 Jun 2019

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