Accès ouvert déclaré
2022
review
Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies
Mathias Gorski, Humaira Rasheed, Alexander Teumer, Laurent F. Thomas, Sarah E. Graham, Garðar Sveinbjörnsson, Thomas W. Winkler, Felix Günther, Klaus 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. Böttinger, 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, André Franke, Sandra Freitag‐Wolf, Christian Fuchsberger, Piyush Gampawar, Ron T. Gansevoort, Mohsen Ghanbari, Sahar Ghasemi, Vilmantas Giedraitis, Christian Gieger, Daníel F. Guðbjartsson, Stein Hallan, Pavel Hamet, Asahi Hishida, Kevin Ho, Edith Hofer, Bernd Holleczek, Hilma Hólm, 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 Köenig, 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. Matías‐García, 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 R. O’Connell, Ísleifur Ólafsson, Marju Orho‐Melander, Afshin Parsa, Sarah A. Pendergrass, Brenda W.J.H. Penninx, Mario Pirastu, Michael Preuß, Bruce M. Psaty, Laura M. Raffield, Olli Raitakari, Myriam Rheinberger, Kenneth 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 Þorsteinsdóttir, 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, Mélanie Waldenberger, Lars Wallentin, Stefan Wallner, Judy Wang, Dawn Waterworth, Harvey D. White, Cristen J. Willer, Tien Yin Wong, Mark Woodward, Qiong Yang, Laura M. Yerges-Armstrong, Martina E. Zimmermann, Alan B. Zonderman, Tobias Bergler, Kāri Stefánsson, Carsten A. Böger, Cristian Pattaro, Anna Köttgen, Florian Kronenberg, Iris M. Heid
58Citations signalées, ce qui n’est pas une note de qualité
141Institutions déclarées
18Pays d’affiliation déclarés
Rattachement africain : de, no, gb, pl, us, is, sg, dk, se, nl, it, au, at, ir, ca, jp, fi, nz.
Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
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.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies
- Date Crossref
- 01/09/2022
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Les institutions déclarées
Une affiliation ne permet pas de déduire la nationalité d’un auteur.
Les sujets associés
Birth, Development, and HealthGenetic Associations and EpidemiologyChronic Kidney Disease and Diabetes