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Meta-Analysis
. 2021 Apr;99(4):926-939.
doi: 10.1016/j.kint.2020.09.030. Epub 2020 Oct 31.

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

Mathias Gorski  1 Bettina Jung  2 Yong Li  3 Pamela R Matias-Garcia  4 Matthias Wuttke  5 Stefan Coassin  6 Chris H L Thio  7 Marcus E Kleber  8 Thomas W Winkler  9 Veronika Wanner  9 Jin-Fang Chai  10 Audrey Y Chu  11 Massimiliano Cocca  12 Mary F Feitosa  13 Sahar Ghasemi  14 Anselm Hoppmann  3 Katrin Horn  15 Man Li  16 Teresa Nutile  17 Markus Scholz  15 Karsten B Sieber  18 Alexander Teumer  14 Adrienne Tin  19 Judy Wang  13 Bamidele O Tayo  20 Tarunveer S Ahluwalia  21 Peter Almgren  22 Stephan J L Bakker  23 Bernhard Banas  2 Nisha Bansal  24 Mary L Biggs  25 Eric Boerwinkle  26 Erwin P Bottinger  27 Hermann Brenner  28 Robert J Carroll  29 John Chalmers  30 Miao-Li Chee  31 Miao-Ling Chee  31 Ching-Yu Cheng  32 Josef Coresh  33 Martin H de Borst  23 Frauke Degenhardt  34 Kai-Uwe Eckardt  35 Karlhans Endlich  36 Andre Franke  34 Sandra Freitag-Wolf  37 Piyush Gampawar  38 Ron T Gansevoort  23 Mohsen Ghanbari  39 Christian Gieger  40 Pavel Hamet  41 Kevin Ho  42 Edith Hofer  43 Bernd Holleczek  44 Valencia Hui Xian Foo  31 Nina Hutri-Kähönen  45 Shih-Jen Hwang  46 M Arfan Ikram  47 Navya Shilpa Josyula  48 Mika Kähönen  49 Chiea-Chuen Khor  50 Wolfgang Koenig  51 Holly Kramer  52 Bernhard K Krämer  53 Brigitte Kühnel  54 Leslie A Lange  55 Terho Lehtimäki  56 Wolfgang Lieb  57 Lifelines Cohort StudyRegeneron Genetics CenterRuth J F Loos  58 Mary Ann Lukas  59 Leo-Pekka Lyytikäinen  56 Christa Meisinger  60 Thomas Meitinger  61 Olle Melander  62 Yuri Milaneschi  63 Pashupati P Mishra  56 Nina Mononen  56 Josyf C Mychaleckyj  64 Girish N Nadkarni  65 Matthias Nauck  66 Kjell Nikus  67 Boting Ning  68 Ilja M Nolte  7 Michelle L O'Donoghue  69 Marju Orho-Melander  22 Sarah A Pendergrass  70 Brenda W J H Penninx  63 Michael H Preuss  71 Bruce M Psaty  72 Laura M Raffield  73 Olli T Raitakari  74 Rainer Rettig  75 Myriam Rheinberger  76 Kenneth M Rice  77 Alexander R Rosenkranz  78 Peter Rossing  21 Jerome I Rotter  79 Charumathi Sabanayagam  80 Helena Schmidt  38 Reinhold Schmidt  81 Ben Schöttker  28 Christina-Alexandra Schulz  22 Sanaz Sedaghat  82 Christian M Shaffer  29 Konstantin Strauch  83 Silke Szymczak  37 Kent D Taylor  79 Johanne Tremblay  84 Layal Chaker  85 Pim van der Harst  86 Peter J van der Most  7 Niek Verweij  87 Uwe Völker  88 Melanie Waldenberger  89 Lars Wallentin  90 Dawn M Waterworth  18 Harvey D White  91 James G Wilson  92 Tien-Yin Wong  80 Mark Woodward  30 Qiong Yang  68 Masayuki Yasuda  93 Laura M Yerges-Armstrong  18 Yan Zhang  44 Harold Snieder  7 Christoph Wanner  94 Carsten A Böger  76 Anna Köttgen  95 Florian Kronenberg  6 Cristian Pattaro  96 Iris M Heid  97
Collaborators, Affiliations
Meta-Analysis

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

Mathias Gorski et al. Kidney Int. 2021 Apr.

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.

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

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Figures

Figure 1 |
Figure 1 |. Illustration of the case-control definitions of Rapid3 and CKDi25.
Rapid3 defines cases as individuals with an eGFRcrea decline>3 mL/min/1.73m2 per year and controls with an eGFRcrea decline between −1 and +1 mL/min/1.73m2 per year. CKDi25 defines cases as a ≥25% drop from baseline eGFRcrea≥60 mL/min/1.73m2 into eGFRcrea<60 mL/min/1.73m2 at follow-up and controls as an eGFRcrea≥60 mL/min/1.73m2 at baseline and follow-up. Shown are cases (red), controls (black) and excluded individuals (grey) according to the eGFRcrea values observed at baseline and follow-up.
Figure 2 |
Figure 2 |. Four loci identified with genome-wide significance for Rapid3 or CKDi25.
Shown are association P-values versus genomic position for Rapid3 (34,874 cases; 107,090 controls) and CKDi25 (19,901 cases; 175,244 controls). Horizontal dashed lines indicate genome-wide (5.00×10−8), Bonferroni-corrected (0.05/265≈1.89×10−4) and nominal (0.05) significance thresholds. The four identified genome-wide significant loci are annotated by the nearest genes (blue). The 264 loci reported previously for cross-sectional eGFRcrea are marked in orange and respective lead variants as red dots.

Comment in

References

    1. Nelson MR, Tipney H, Painter JL, et al. The support of human genetic evidence for approved drug indications. Nat Genet. 2015. doi:10.1038/ng.3314 - DOI - PubMed
    1. Matsushita K, Selvin E, Bash LD, Franceschini N, Astor BC, Coresh J. Change in estimated GFR associates with coronary heart disease and mortality. J Am Soc Nephrol. 2009. doi:10.1681/ASN.2009010025 - DOI - PMC - PubMed
    1. Coresh J, Turin TC, Matsushita K, et al. Decline in estimated glomerular filtration rate and subsequent risk of end-stage renal disease and mortality. JAMA - J Am Med Assoc. 2014. doi:10.1001/jama.2014.6634 - DOI - PMC - PubMed
    1. Matsushita K, van der Velde M, Astor BC, et al. Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis. Lancet. 2010. doi:10.1016/S0140-6736(10)60674-5 - DOI - PMC - PubMed
    1. Astor BC, Matsushita K, Gansevoort RT, et al. Lower estimated glomerular filtration rate and higher albuminuria are associated with mortality and end-stage renal disease. A collaborative meta-analysis of kidney disease population cohorts. Kidney Int. 2011. doi:10.1038/ki.2010.550 - DOI - PMC - PubMed

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