%0 Journal Article
%A Gorski, Mathias
%A Rasheed, Humaira
%A Teumer, Alexander
%A Thomas, Laurent F
%A Graham, Sarah E
%A Sveinbjornsson, Gardar
%A Winkler, Thomas W
%A Günther, Felix
%A Stark, Klaus J
%A Chai, Jin-Fang
%A Tayo, Bamidele O
%A Wuttke, Matthias
%A Li, Yong
%A Tin, Adrienne
%A Ahluwalia, Tarunveer S
%A Ärnlöv, Johan
%A Åsvold, Bjørn Olav
%A Bakker, Stephan J L
%A Banas, Bernhard
%A Bansal, Nisha
%A Biggs, Mary L
%A Biino, Ginevra
%A Böhnke, Michael
%A Boerwinkle, Eric
%A Bottinger, Erwin P
%A Brenner, Hermann
%A Brumpton, Ben
%A Carroll, Robert J
%A Chaker, Layal
%A Chalmers, John
%A Chee, Miao-Li
%A Chee, Miao-Ling
%A Cheng, Ching-Yu
%A Chu, Audrey Y
%A Ciullo, Marina
%A Cocca, Massimiliano
%A Cook, James P
%A Coresh, Josef
%A Cusi, Daniele
%A de Borst, Martin H
%A Degenhardt, Frauke
%A Eckardt, Kai-Uwe
%A Endlich, Karlhans
%A Evans, Michele K
%A Feitosa, Mary F
%A Franke, Andre
%A Freitag-Wolf, Sandra
%A Fuchsberger, Christian
%A Gampawar, Piyush
%A Gansevoort, Ron T
%A Ghanbari, Mohsen
%A Ghasemi, Sahar
%A Giedraitis, Vilmantas
%A Gieger, Christian
%A Gudbjartsson, Daniel F
%A Hallan, Stein
%A Hamet, Pavel
%A Hishida, Asahi
%A Ho, Kevin
%A Hofer, Edith
%A Holleczek, Bernd
%A Holm, Hilma
%A Hoppmann, Anselm
%A Horn, Katrin
%A Hutri-Kähönen, Nina
%A Hveem, Kristian
%A Hwang, Shih-Jen
%A Ikram, M Arfan
%A Josyula, Navya Shilpa
%A Jung, Bettina
%A Kähönen, Mika
%A Karabegović, Irma
%A Khor, Chiea-Chuen
%A Koenig, Wolfgang
%A Kramer, Holly
%A Krämer, Bernhard K
%A Kühnel, Brigitte
%A Kuusisto, Johanna
%A Laakso, Markku
%A Lange, Leslie A
%A Lehtimäki, Terho
%A Li, Man
%A Lieb, Wolfgang
%A Lind, Lars
%A Lindgren, Cecilia M
%A Loos, Ruth J F
%A Lukas, Mary Ann
%A Lyytikäinen, Leo-Pekka
%A Mahajan, Anubha
%A Matias-Garcia, Pamela R
%A Meisinger, Christa
%A Meitinger, Thomas
%A Melander, Olle
%A Milaneschi, Yuri
%A Mishra, Pashupati P
%A Mononen, Nina
%A Morris, Andrew P
%A Mychaleckyj, Josyf C
%A Nadkarni, Girish N
%A Naito, Mariko
%A Nakatochi, Masahiro
%A Nalls, Mike A
%A Nauck, Matthias
%A Nikus, Kjell
%A Ning, Boting
%A Nolte, Ilja M
%A Nutile, Teresa
%A O'Donoghue, Michelle L
%A O'Connell, Jeffrey
%A Olafsson, Isleifur
%A Orho-Melander, Marju
%A Parsa, Afshin
%A Pendergrass, Sarah A
%A Penninx, Brenda W J H
%A Pirastu, Mario
%A Preuss, Michael H
%A Psaty, Bruce M
%A Raffield, Laura M
%A Raitakari, Olli T
%A Rheinberger, Myriam
%A Rice, Kenneth M
%A Rizzi, Federica
%A Rosenkranz, Alexander R
%A Rossing, Peter
%A Rotter, Jerome I
%A Ruggiero, Daniela
%A Ryan, Kathleen A
%A Sabanayagam, Charumathi
%A Salvi, Erika
%A Schmidt, Helena
%A Schmidt, Reinhold
%A Scholz, Markus
%A Schöttker, Ben
%A Schulz, Christina-Alexandra
%A Sedaghat, Sanaz
%A Shaffer, Christian M
%A Sieber, Karsten B
%A Sim, Xueling
%A Sims, Mario
%A Snieder, Harold
%A Stanzick, Kira J
%A Thorsteinsdottir, Unnur
%A Stocker, Hannah
%A Strauch, Konstantin
%A Stringham, Heather M
%A Sulem, Patrick
%A Szymczak, Silke
%A Taylor, Kent D
%A Thio, Chris H L
%A Tremblay, Johanne
%A Vaccargiu, Simona
%A van der Harst, Pim
%A van der Most, Peter J
%A Verweij, Niek
%A Völker, Uwe
%A Wakai, Kenji
%A Waldenberger, Melanie
%A Wallentin, Lars
%A Wallner, Stefan
%A Wang, Judy
%A Waterworth, Dawn M
%A White, Harvey D
%A Willer, Cristen J
%A Wong, Tien-Yin
%A Woodward, Mark
%A Yang, Qiong
%A Yerges-Armstrong, Laura M
%A Zimmermann, Martina
%A Zonderman, Alan B
%A Bergler, Tobias
%A Stefansson, Kari
%A Böger, Carsten A
%A Pattaro, Cristian
%A Köttgen, Anna
%A Kronenberg, Florian
%A Heid, Iris M
%T Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies.
%J Kidney international
%V 102
%N 3
%@ 0085-2538
%C New York, NY
%I Elsevier
%M DKFZ-2022-01294
%P 624-639
%D 2022
%Z 2022 Sep;102(3):624-639
%X 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
%K acute kidney injury (Other)
%K chronic kidney disease (Other)
%K diabetes (Other)
%K gene expression (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:35716955
%R 10.1016/j.kint.2022.05.021
%U https://inrepo02.dkfz.de/record/180380