A genome-wide association study of diabetic kidney disease in subjects with type 2 diabetes

Natalie R. Van Zuydam, 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 Perna, Erica Rurali, M. Loredana Marcovecchio, Robert P. Igo, Rany M. Salem, Norberto PericoMaria 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 Tregouet, Alexander P. Maxwell, Su Chi Lim, Ronald C.W. Ma, E. Shyong Tai, Shiro Maeda, Valeriya Lyssenko, Tiinamaija Tuomi, Andrzej S. 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

研究成果: Article査読

78 被引用数 (Scopus)


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.

出版ステータスPublished - 01-01-2018

All Science Journal Classification (ASJC) codes

  • 内科学
  • 内分泌学、糖尿病および代謝内科学


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