A Genome-Wide Association Study of Diabetic Kidney Disease in Subjects With Type 2 Diabetes

Finnish Diabetic Nephropathy Study (FinnDiane), Surrogate Markers for Micro- and Macro-Vascular Hard Endpoints for Innovative Diabetes Tools (SUMMIT) Study Group, , GENIE (GEnetics of Nephropathy an International Effort) Consortium, Warren 3 and Genetics of Kidneys in Diabetes (GoKinD) Study Group, Natalie R. Van Zuydam (Lead / Corresponding author), Emma Ahlqvist, Niina Sandholm, Harshal Deshmukh, N. William Rayner, Moustafa Abdalla, Claes Ladenvall, Daniel Ziemek, Eric Fauman, Neil R. Robertson, Paul M. McKeigue, Erkka Valo, Carol Forsblom, Valma Harjutsalo, Annalisa PernaErica Rurali, M. Loredana Marcovecchio, Robert P. Igo, Rany M. Salem, Norberto Perico, Maria Lajer, Annemari Käräjämäki, Minako Imamura, Michiaki Kubo, Atsushi Takahashi, Xueling Sim, Jianjun Liu, Rob M. Van Dam, Guozhi Jiang, Claudia H.T. Tam, Andrea O.Y. Luk, Heung Man Lee, Cadmon K.P. Lim, Cheuk Chun Szeto, Wing Yee So, Juliana C.N. Chan, Su Fen Ang, Rajkumar Dorajoo, Ling Wang, Tan Si Hua Clara, Amy Jayne McKnight, Seamus Duffy, Marcus G. Pezzolesi, Michel Marre, Beata Gyorgy, Samy Hadjadj, Linda T. Hiraki, Tarunveer S. Ahluwalia, Peter Almgren, Christina-Alexandra Schulz, Marju Orho-Melander, Allan Linneberg, Cramer Christensen, Daniel R. Witte, Niels Grarup, Ivan Brandslund, Olle Melander, Andrew D. Paterson, David-Alexandre Trégouët, Alexander P. Maxwell, Su Chi Lim, Ronald C. W. Ma, E. Shyong Tai, Shiro Maeda, Valeriya Lyssenko, Tiinamaija Tuomi, Andrzej Krolewski, Stephen S. Rich, Joel N. Hirschhorn, Jose C. Florez, David Dunger, Oluf Pedersen, Torben Hansen, Peter Rossing, Giuseppe Remuzzi, Mary Julia Brosnan, Colin N.A. Palmer, Per-Henrik Groop, Helen M. Colhoun, Leif C. Groop, Mark I. McCarthy

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Identification of sequence variants robustly associated with predisposition to diabetic kidney disease (DKD) has the potential to provide insights into the pathophysiological mechanisms responsible. We conducted a genome-wide association study (GWAS) of DKD in type 2 diabetes (T2D) using eight complementary dichotomous and quantitative DKD phenotypes: the principal dichotomous analysis involved 5,717 T2D subjects, 3,345 with DKD. Promising association signals were evaluated in up to 26,827 subjects with T2D (12,710 with DKD). A combined (T1D+T2D) GWAS was performed using complementary data available for subjects with T1D, which, with replication samples, involved up to 40,340 diabetic subjects (and 18,582 DKD cases). Analysis of specific DKD phenotypes identified a novel signal near GABRR1 (rs9942471, p=4.5×10-8) associated with 'microalbuminuria' in European T2D cases. However, no replication of this signal was observed in Asian subjects with T2D, or in the equivalent T1D analysis. There was only limited support, in this substantially enlarged analysis, for association at previously-reported DKD signals, except for those at UMOD and PRKAG2, both associated with 'EGFR'. We conclude that, despite challenges in addressing phenotypic heterogeneity, access to increased sample sizes will continue to provide more robust inference regarding risk-variant discovery for DKD.

Original languageEnglish
Pages (from-to)1414-1427
Number of pages14
Issue number7
Early online date27 Apr 2018
Publication statusPublished - Jul 2018


  • diabetes
  • kidney
  • genetic
  • association
  • nephropathy
  • SNP

ASJC Scopus subject areas

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism


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