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

Abstract:

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.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.2337/db17-0914

Authors

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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
NDM; Human Genetics Wt Centre
Role:
Author
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Role:
Author
ORCID:
0000-0003-4322-6942
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
RDM; OCDEM
Role:
Author



Publisher:
American Diabetes Association
Journal:
Diabetes More from this journal
Volume:
67
Issue:
7
Pages:
1414-1427
Publication date:
2018-04-27
Acceptance date:
2018-03-29
DOI:
EISSN:
1939-327X
ISSN:
0012-1797
Pmid:
29703844


Language:
English
Keywords:
Pubs id:
pubs:568311
UUID:
uuid:f3860d36-645b-4890-aee3-a8d256ea1146
Local pid:
pubs:568311
Source identifiers:
568311
Deposit date:
2018-06-01
ARK identifier:

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