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


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.

SUBMITTER: Salem RM 

PROVIDER: S-EPMC6779358 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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

Salem Rany M RM   Todd Jennifer N JN   Sandholm Niina N   Cole Joanne B JB   Chen Wei-Min WM   Andrews Darrell D   Pezzolesi Marcus G MG   McKeigue Paul M PM   Hiraki Linda T LT   Qiu Chengxiang C   Nair Viji V   Di Liao Chen C   Cao Jing Jing JJ   Valo Erkka E   Onengut-Gumuscu Suna S   Smiles Adam M AM   McGurnaghan Stuart J SJ   Haukka Jani K JK   Harjutsalo Valma V   Brennan Eoin P EP   van Zuydam Natalie N   Ahlqvist Emma E   Doyle Ross R   Ahluwalia Tarunveer S TS   Lajer Maria M   Hughes Maria F MF   Park Jihwan J   Skupien Jan J   Spiliopoulou Athina A   Liu Andrew A   Menon Rajasree R   Boustany-Kari Carine M CM   Kang Hyun M HM   Nelson Robert G RG   Klein Ronald R   Klein Barbara E BE   Lee Kristine E KE   Gao Xiaoyu X   Mauer Michael M   Maestroni Silvia S   Caramori Maria Luiza ML   de Boer Ian H IH   Miller Rachel G RG   Guo Jingchuan J   Boright Andrew P AP   Tregouet David D   Gyorgy Beata B   Snell-Bergeon Janet K JK   Maahs David M DM   Bull Shelley B SB   Canty Angelo J AJ   Palmer Colin N A CNA   Stechemesser Lars L   Paulweber Bernhard B   Weitgasser Raimund R   Sokolovska Jelizaveta J   Rovīte Vita V   Pīrāgs Valdis V   Prakapiene Edita E   Radzeviciene Lina L   Verkauskiene Rasa R   Panduru Nicolae Mircea NM   Groop Leif C LC   McCarthy Mark I MI   Gu Harvest F HF   Möllsten Anna A   Falhammar Henrik H   Brismar Kerstin K   Martin Finian F   Rossing Peter P   Costacou Tina T   Zerbini Gianpaolo G   Marre Michel M   Hadjadj Samy S   McKnight Amy J AJ   Forsblom Carol C   McKay Gareth G   Godson Catherine C   Maxwell A Peter AP   Kretzler Matthias M   Susztak Katalin K   Colhoun Helen M HM   Krolewski Andrzej A   Paterson Andrew D AD   Groop Per-Henrik PH   Rich Stephen S SS   Hirschhorn Joel N JN   Florez Jose C JC  

Journal of the American Society of Nephrology : JASN 20190919 10


<h4>Background</h4>Although diabetic kidney disease demonstrates both familial clustering and single nucleotide polymorphism heritability, the specific genetic factors influencing risk remain largely unknown.<h4>Methods</h4>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  ...[more]

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