A1 Journal article – refereed
A Genome-Wide Association Study of Diabetic Kidney Disease in Subjects With Type 2 Diabetes

List of Authors: 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, Finnish Diabetic
Nephropathy Study (FinnDiane), Annalisa Perna, Erica Rurali, M. Loredana Marcovecchio,
Robert P. Igo Jr., 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,
Hong Kong Diabetes Registry Theme-based Research Scheme Project Group, Su Fen Ang,
Rajkumar Dorajoo, Ling Wang, Tan Si Hua Clara, Amy-Jayne McKnight, Seamus Duffy,
Warren and Genetics of Kidneys in Diabetes (GoKinD) Study Group, Marcus G. Pezzolesi,
GENIE (GEnetics of Nephropathy an International Effort) Consortium, Michel Marre, Beata Gyorgy,
Samy Hadjadj, Linda T. Hiraki, Diabetes Control and Complications Trial
(DCCT)/Epidemiology of Diabetes Interventions and Complications (EDIC) Research Group,
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, SUrrogate markers for Micro- and Macrovascular
hard endpoints for Innovative diabetes Tools (SUMMIT) Consortium, Mary Julia Brosnan,
Colin N.A. Palmer, Per-Henrik Groop, Helen M. Colhoun, Leif C. Groop,
Mark I. McCarthy

Publication year: 2018
Journal: Diabetes
Journal name in source: Diabetes
Journal acronym: Diabetes
Volume number: 67
Issue number: 7
ISSN: 0012-1797
eISSN: 1939-327X



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 subjects with diabetes (18,582 with DKD). Analysis of specific DKD phenotypes identified a novel signal near GABRR1 (rs9942471, P = 4.5 × 10−8) associated with microalbuminuria in European T2D case subjects. 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 estimated glomerular filtration rate. 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.

Last updated on 2019-07-02 at 12:47