Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Oct;30(10):2000-2016.
doi: 10.1681/ASN.2019030218. Epub 2019 Sep 19.

Genome-Wide Association Study of Diabetic Kidney Disease Highlights Biology Involved in Glomerular Basement Membrane Collagen

Rany M Salem  1 Jennifer N Todd  2   3   4 Niina Sandholm  5   6   7 Joanne B Cole  2   3   4 Wei-Min Chen  8 Darrell Andrews  9 Marcus G Pezzolesi  10 Paul M McKeigue  11 Linda T Hiraki  12 Chengxiang Qiu  13 Viji Nair  14 Chen Di Liao  12 Jing Jing Cao  12 Erkka Valo  5   6   7 Suna Onengut-Gumuscu  8 Adam M Smiles  15 Stuart J McGurnaghan  16 Jani K Haukka  5   6   7 Valma Harjutsalo  5   6   7   17 Eoin P Brennan  9 Natalie van Zuydam  18   19 Emma Ahlqvist  20 Ross Doyle  9 Tarunveer S Ahluwalia  21 Maria Lajer  21 Maria F Hughes  9 Jihwan Park  13 Jan Skupien  15 Athina Spiliopoulou  11 Andrew Liu  22 Rajasree Menon  14   23 Carine M Boustany-Kari  24 Hyun M Kang  23   25 Robert G Nelson  26 Ronald Klein  27 Barbara E Klein  27 Kristine E Lee  27 Xiaoyu Gao  28 Michael Mauer  29 Silvia Maestroni  30 Maria Luiza Caramori  29 Ian H de Boer  31 Rachel G Miller  32 Jingchuan Guo  32 Andrew P Boright  12 David Tregouet  33   34 Beata Gyorgy  33   34 Janet K Snell-Bergeon  35 David M Maahs  36 Shelley B Bull  37 Angelo J Canty  38 Colin N A Palmer  39 Lars Stechemesser  40 Bernhard Paulweber  40 Raimund Weitgasser  40   41 Jelizaveta Sokolovska  42 Vita Rovīte  43 Valdis Pīrāgs  42   44 Edita Prakapiene  45 Lina Radzeviciene  46 Rasa Verkauskiene  46 Nicolae Mircea Panduru  6   47 Leif C Groop  20   48 Mark I McCarthy  18   19   49   50 Harvest F Gu  51   52 Anna Möllsten  53 Henrik Falhammar  54   55 Kerstin Brismar  54   55 Finian Martin  9 Peter Rossing  21   56 Tina Costacou  32 Gianpaolo Zerbini  30 Michel Marre  57   58   59   60 Samy Hadjadj  61   62   63 Amy J McKnight  64 Carol Forsblom  5   7   7 Gareth McKay  64 Catherine Godson  9 A Peter Maxwell  64 Matthias Kretzler  14   23 Katalin Susztak  13 Helen M Colhoun  16 Andrzej Krolewski  15 Andrew D Paterson  12 Per-Henrik Groop  5   6   7   65 Stephen S Rich  8 Joel N Hirschhorn  2   3 Jose C Florez  66   4   67   68 SUMMIT Consortium, DCCT/EDIC Research Group, GENIE Consortium
Affiliations

Genome-Wide Association Study of Diabetic Kidney Disease Highlights Biology Involved in Glomerular Basement Membrane Collagen

Rany M Salem et al. J Am Soc Nephrol. 2019 Oct.

Abstract

Background: Although diabetic kidney disease demonstrates both familial clustering and single nucleotide polymorphism heritability, the specific genetic factors influencing risk remain largely unknown.

Methods: To identify genetic variants predisposing to diabetic kidney disease, we performed genome-wide association study (GWAS) analyses. Through collaboration with the Diabetes Nephropathy Collaborative Research Initiative, we assembled a large collection of type 1 diabetes cohorts with harmonized diabetic kidney disease phenotypes. We used a spectrum of ten diabetic kidney disease definitions based on albuminuria and renal function.

Results: Our GWAS meta-analysis included association results for up to 19,406 individuals of European descent with type 1 diabetes. We identified 16 genome-wide significant risk loci. The variant with the strongest association (rs55703767) is a common missense mutation in the collagen type IV alpha 3 chain (COL4A3) gene, which encodes a major structural component of the glomerular basement membrane (GBM). Mutations in COL4A3 are implicated in heritable nephropathies, including the progressive inherited nephropathy Alport syndrome. The rs55703767 minor allele (Asp326Tyr) is protective against several definitions of diabetic kidney disease, including albuminuria and ESKD, and demonstrated a significant association with GBM width; protective allele carriers had thinner GBM before any signs of kidney disease, and its effect was dependent on glycemia. Three other loci are in or near genes with known or suggestive involvement in this condition (BMP7) or renal biology (COLEC11 and DDR1).

Conclusions: The 16 diabetic kidney disease-associated loci may provide novel insights into the pathogenesis of this condition and help identify potential biologic targets for prevention and treatment.

Keywords: diabetes; diabetic nephropathy; end-stage renal disease; genetic renal disease; human genetics; kidney disease.

PubMed Disclaimer

Figures

None
Graphical abstract
Figure 1.
Figure 1.
Phenotypic analysis of DKD. Schematic diagram of outcomes analyzed in this study. Numbers indicate the total number of cases (darker gray) and controls (lighter gray) included in the meta-analyses for each phenotype. ESKD defined as eGFR<15 ml/min per 1.73 m2 or undergoing dialysis or having renal transplant.
Figure 2.
Figure 2.
Genome-wide association testing of all ten phenotypic comparisons. Multiphenotype Manhattan plot shows lowest P value at each marker for each of the ten phenotypic comparisons, under the standard and fully-adjusted model. Significance of SNPs (−log10[P value], y axis) is plotted against genomic location (x axis). Loci surpassing genome-wide significance (red line) and/or study-wide significance (blue line) are colored by phenotype.
Figure 3.
Figure 3.
Adjusted residuals of GBM width by rs55703767 genotype and sex. Box and whisker plot of residuals of mean GBM width after adjusting for age, sex, and diabetes duration, stratified by GG, GT, or TT genotype at rs55703767, with overlay of individual data points for both women (pink) and men (blue).
Figure 4.
Figure 4.
Association at rs55703767 (COL4A3) stratified by HbA1c below or above 7.5%, for the phenotypes reaching genome-wide significance in the combined meta-analysis. Analysis included 1344 individuals with time-weighted mean HbA1c <7.5% (58 mmol/mol), and 2977 with mean HbA1c ≥7.5% from the FinnDiane study; the individuals had median 19 HbA1c measurements (range 1–129).
Figure 5.
Figure 5.
Single-cell RNA-sequencing in mouse kidney shows COL4A3, SNCAIP, and BMP7 are specifically expressed in podocytes. Mean expression values of the genes were calculated in each cluster. The color scheme is on the basis of z-score distribution; the map shows genes with z-score >2. In the heatmap, each row represents one gene and each column is a single cell type. Percentages of assigned cell types are summarized in the right panel. CD-IC, collecting duct intercalated cell; CD-PC, collecting duct principal cell; CD-Trans, collecting duct transitional cell; DCT, distal convoluted tubule; Endo, containing endothelial, vascular, and descending loop of Henle; Fib, fibroblast; LOH, ascending loop of Henle; Lymph, lymphocyte; Macro, macrophage; Neutro, neutrophil; NK, natural killer cell; Podo, podocyte; PT, proximal tubule.

Comment in

References

    1. Centers for Disease Control and Prevention : National Diabetes Statistics Report, 2017 Estimates of Diabetes and its Burden in the United States Background, Atlanta, GA, Centers for Disease Control and Prevention, US Department of Health and Human Services, 2017
    1. Tuttle KR, Bakris GL, Bilous RW, Chiang JL, de Boer IH, Goldstein-Fuchs J, et al. .: Diabetic kidney disease: A report from an ADA Consensus conference. Am J Kidney Dis 64: 510–533, 2014 - PubMed
    1. Krolewski M, Eggers PW, Warram JH: Magnitude of end-stage renal disease in IDDM: A 35 year follow-up study. Kidney Int 50: 2041–2046, 1996 - PubMed
    1. Harjutsalo V, Katoh S, Sarti C, Tajima N, Tuomilehto J: Population-based assessment of familial clustering of diabetic nephropathy in type 1 diabetes. Diabetes 53: 2449–2454, 2004 - PubMed
    1. Quinn M, Angelico MC, Warram JH, Krolewski AS: Familial factors determine the development of diabetic nephropathy in patients with IDDM. Diabetologia 39: 940–945, 1996 - PubMed

Publication types