Literature DB >> 33137338

Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline.

Mathias Gorski1, Bettina Jung2, Yong Li3, Pamela R Matias-Garcia4, Matthias Wuttke5, Stefan Coassin6, Chris H L Thio7, Marcus E Kleber8, Thomas W Winkler9, Veronika Wanner9, Jin-Fang Chai10, Audrey Y Chu11, Massimiliano Cocca12, Mary F Feitosa13, Sahar Ghasemi14, Anselm Hoppmann3, Katrin Horn15, Man Li16, Teresa Nutile17, Markus Scholz15, Karsten B Sieber18, Alexander Teumer14, Adrienne Tin19, Judy Wang13, Bamidele O Tayo20, Tarunveer S Ahluwalia21, Peter Almgren22, Stephan J L Bakker23, Bernhard Banas2, Nisha Bansal24, Mary L Biggs25, Eric Boerwinkle26, Erwin P Bottinger27, Hermann Brenner28, Robert J Carroll29, John Chalmers30, Miao-Li Chee31, Miao-Ling Chee31, Ching-Yu Cheng32, Josef Coresh33, Martin H de Borst23, Frauke Degenhardt34, Kai-Uwe Eckardt35, Karlhans Endlich36, Andre Franke34, Sandra Freitag-Wolf37, Piyush Gampawar38, Ron T Gansevoort23, Mohsen Ghanbari39, Christian Gieger40, Pavel Hamet41, Kevin Ho42, Edith Hofer43, Bernd Holleczek44, Valencia Hui Xian Foo31, Nina Hutri-Kähönen45, Shih-Jen Hwang46, M Arfan Ikram47, Navya Shilpa Josyula48, Mika Kähönen49, Chiea-Chuen Khor50, Wolfgang Koenig51, Holly Kramer52, Bernhard K Krämer53, Brigitte Kühnel54, Leslie A Lange55, Terho Lehtimäki56, Wolfgang Lieb57, Ruth J F Loos58, Mary Ann Lukas59, Leo-Pekka Lyytikäinen56, Christa Meisinger60, Thomas Meitinger61, Olle Melander62, Yuri Milaneschi63, Pashupati P Mishra56, Nina Mononen56, Josyf C Mychaleckyj64, Girish N Nadkarni65, Matthias Nauck66, Kjell Nikus67, Boting Ning68, Ilja M Nolte7, Michelle L O'Donoghue69, Marju Orho-Melander22, Sarah A Pendergrass70, Brenda W J H Penninx63, Michael H Preuss71, Bruce M Psaty72, Laura M Raffield73, Olli T Raitakari74, Rainer Rettig75, Myriam Rheinberger76, Kenneth M Rice77, Alexander R Rosenkranz78, Peter Rossing21, Jerome I Rotter79, Charumathi Sabanayagam80, Helena Schmidt38, Reinhold Schmidt81, Ben Schöttker28, Christina-Alexandra Schulz22, Sanaz Sedaghat82, Christian M Shaffer29, Konstantin Strauch83, Silke Szymczak37, Kent D Taylor79, Johanne Tremblay84, Layal Chaker85, Pim van der Harst86, Peter J van der Most7, Niek Verweij87, Uwe Völker88, Melanie Waldenberger89, Lars Wallentin90, Dawn M Waterworth18, Harvey D White91, James G Wilson92, Tien-Yin Wong80, Mark Woodward30, Qiong Yang68, Masayuki Yasuda93, Laura M Yerges-Armstrong18, Yan Zhang44, Harold Snieder7, Christoph Wanner94, Carsten A Böger76, Anna Köttgen95, Florian Kronenberg6, Cristian Pattaro96, Iris M Heid97.   

Abstract

Rapid decline of glomerular filtration rate estimated from creatinine (eGFRcrea) is associated with severe clinical endpoints. In contrast to cross-sectionally assessed eGFRcrea, the genetic basis for rapid eGFRcrea decline is largely unknown. To help define this, we meta-analyzed 42 genome-wide association studies from the Chronic Kidney Diseases Genetics Consortium and United Kingdom Biobank to identify genetic loci for rapid eGFRcrea decline. Two definitions of eGFRcrea decline were used: 3 mL/min/1.73m2/year or more ("Rapid3"; encompassing 34,874 cases, 107,090 controls) and eGFRcrea decline 25% or more and eGFRcrea under 60 mL/min/1.73m2 at follow-up among those with eGFRcrea 60 mL/min/1.73m2 or more at baseline ("CKDi25"; encompassing 19,901 cases, 175,244 controls). Seven independent variants were identified across six loci for Rapid3 and/or CKDi25: consisting of five variants at four loci with genome-wide significance (near UMOD-PDILT (2), PRKAG2, WDR72, OR2S2) and two variants among 265 known eGFRcrea variants (near GATM, LARP4B). All these loci were novel for Rapid3 and/or CKDi25 and our bioinformatic follow-up prioritized variants and genes underneath these loci. The OR2S2 locus is novel for any eGFRcrea trait including interesting candidates. For the five genome-wide significant lead variants, we found supporting effects for annual change in blood urea nitrogen or cystatin-based eGFR, but not for GATM or LARP4B. Individuals at high compared to those at low genetic risk (8-14 vs. 0-5 adverse alleles) had a 1.20-fold increased risk of acute kidney injury (95% confidence interval 1.08-1.33). Thus, our identified loci for rapid kidney function decline may help prioritize therapeutic targets and identify mechanisms and individuals at risk for sustained deterioration of kidney function.
Copyright © 2020 International Society of Nephrology. All rights reserved.

Entities:  

Keywords:  acute kidney injury; end-stage kidney disease; genome-wide association study; rapid eGFRcrea decline

Mesh:

Substances:

Year:  2020        PMID: 33137338      PMCID: PMC8010357          DOI: 10.1016/j.kint.2020.09.030

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   18.998


  49 in total

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