Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies.
Authors
Mathias Gorski, Humaira Rasheed, Alexander Teumer, Laurent F Thomas, Sarah E Graham, Gardar Sveinbjornsson, Thomas W Winkler, Felix Günther, Klaus J Stark, Jin-Fang Chai, Bamidele O Tayo, Matthias Wuttke, Yong Li, Adrienne Tin, Tarunveer S Ahluwalia, Johan Ärnlöv, Bjørn Olav Åsvold, Stephan J L Bakker, Bernhard Banas, Nisha Bansal, Mary L Biggs, Ginevra Biino, Michael Böhnke, Eric Boerwinkle, Erwin P Bottinger, Hermann Brenner, Ben Brumpton, Robert J Carroll, Layal Chaker, John Chalmers, Miao-Li Chee, Miao-Ling Chee, Ching-Yu Cheng, Audrey Y Chu, Marina Ciullo, Massimiliano Cocca, James P Cook, Josef Coresh, Daniele Cusi, Martin H de Borst, Frauke Degenhardt, Kai-Uwe Eckardt, Karlhans Endlich, Michele K Evans, Mary F Feitosa, Andre Franke, Sandra Freitag-Wolf, Christian Fuchsberger, Piyush Gampawar, Ron T Gansevoort, Mohsen Ghanbari, Sahar Ghasemi, Vilmantas Giedraitis, Christian Gieger, Daniel F Gudbjartsson, Stein Hallan, Pavel Hamet, Asahi Hishida, Kevin Ho, Edith Hofer, Bernd Holleczek, Hilma Holm, Anselm Hoppmann, Katrin Horn, Nina Hutri-Kähönen, Kristian Hveem, Shih-Jen Hwang, M Arfan Ikram, Navya Shilpa Josyula, Bettina Jung, Mika Kähönen, Irma Karabegović, Chiea-Chuen Khor, Wolfgang Koenig, Holly Kramer, Bernhard K Krämer, Brigitte Kühnel, Johanna Kuusisto, Markku Laakso, Leslie A Lange, Terho Lehtimäki, Man Li, Wolfgang Lieb, Lars Lind, Cecilia M Lindgren, Ruth J F Loos, Mary Ann Lukas, Leo-Pekka Lyytikäinen, Anubha Mahajan, Pamela R Matias-Garcia, Christa Meisinger, Thomas Meitinger, Olle Melander, Yuri Milaneschi, Pashupati P Mishra, Nina Mononen, Andrew P Morris, Josyf C Mychaleckyj, Girish N Nadkarni, Mariko Naito, Masahiro Nakatochi, Mike A Nalls, Matthias Nauck, Kjell Nikus, Boting Ning, Ilja M Nolte, Teresa Nutile, Michelle L O’Donoghue, Jeffrey O’Connell, Isleifur Olafsson, Marju Orho-Melander, Afshin Parsa, Sarah A Pendergrass, Brenda W J H Penninx, Mario Pirastu, Michael H Preuss, Bruce M Psaty, Laura M Raffield, Olli T Raitakari, Myriam Rheinberger, Kenneth M Rice, Federica Rizzi, Alexander R Rosenkranz, Peter Rossing, Jerome I Rotter, Daniela Ruggiero, Kathleen A Ryan, Charumathi Sabanayagam, Erika Salvi, Helena Schmidt, Reinhold Schmidt, Markus Scholz, Ben Schöttker, Christina-Alexandra Schulz, Sanaz Sedaghat, Christian M Shaffer, Karsten B Sieber, Xueling Sim, Mario Sims, Harold Snieder, Kira J Stanzick, Unnur Thorsteinsdottir, Hannah Stocker, Konstantin Strauch, Heather M Stringham, Patrick Sulem, Silke Szymczak, Kent D Taylor, Chris H L Thio, Johanne Tremblay, Simona Vaccargiu, Pim van der Harst, Peter J van der Most, Niek Verweij, Uwe Völker, Kenji Wakai, Melanie Waldenberger, Lars Wallentin, Stefan Wallner, Judy Wang, Dawn M Waterworth, Harvey D White, Cristen J Willer, Tien-Yin Wong, Mark Woodward, Qiong Yang, Laura M Yerges-Armstrong, Martina Zimmermann, Alan B Zonderman, Tobias Bergler, Kari Stefansson, Carsten A Böger, Cristian Pattaro, Anna Köttgen, Florian Kronenberg, Iris M Heid
Year of publication
2022Journal
KIDNEY INTVolume
102Issue
3Abstract
Estimated glomerular filtration rate (eGFR) reflects kidney function. Progressive eGFR-decline can lead to kidney failure, necessitating dialysis or transplantation. Hundreds of loci from genome-wide association studies (GWAS) for eGFR help explain population cross section variability. Since the contribution of these or other loci to eGFR-decline remains largely unknown, we derived GWAS for annual eGFR-decline and meta-analyzed 62 longitudinal studies with eGFR assessed twice over time in all 343,339 individuals and in high-risk groups. We also explored different covariate adjustment. Twelve genome-wide significant independent variants for eGFR-decline unadjusted or adjusted for eGFR-baseline (11 novel, one known for this phenotype), including nine variants robustly associated across models were identified. All loci for eGFR-decline were known for cross-sectional eGFR and thus distinguished a subgroup of eGFR loci. Seven of the nine variants showed variant-by-age interaction on eGFR cross section (further about 350,000 individuals), which linked genetic associations for eGFR-decline with age-dependency of genetic cross-section associations. Clinically important were two to four-fold greater genetic effects on eGFR-decline in high-risk subgroups. Five variants associated also with chronic kidney disease progression mapped to genes with functional in-silico evidence (UMOD, SPATA7, GALNTL5, TPPP). An unfavorable versus favorable nine-variant genetic profile showed increased risk odds ratios of 1.35 for kidney failure (95% confidence intervals 1.03-1.77) and 1.27 for acute kidney injury (95% confidence intervals 1.08-1.50) in over 2000 cases each, with matched controls). Thus, we provide a large data resource, genetic loci, and prioritized genes for kidney function decline, which help inform drug development pipelines revealing important insights into the age-dependency of kidney function genetics.