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Abstract
Diabetes is the leading cause of end stage renal disease. Despite evidence for a substantial heritability of diabetic kidney disease, efforts to identify genetic susceptibility variants have had limited success. We extended previous efforts in three dimensions, examining a more comprehensive set of genetic variants in larger numbers of subjects with type 1 diabetes characterized for a wider range of cross-sectional diabetic kidney disease phenotypes. In 2,843 subjects, we estimated that the heritability of diabetic kidney disease was
35% (
p=6x10-3 ). Genome-wide association analysis and replication in 12,540 individuals identified no single variants reaching stringent levels of significance and, despite excellent power, provided little independent confirmation of previously published associated variants. Whole exome sequencing in 997 subjects failed to identify any large-effect coding alleles of lower frequency influencing the risk of diabetic kidney disease.
However, sets of alleles increasing body mass index (
p=2.2×10-5) and the risk of type 2 diabetes (p=6.1x10-4 ) were associated with the risk of diabetic kidney disease. We also found genome-wide genetic correlation
between diabetic kidney disease and failure at smoking cessation (
p=1.1×10-4 ). Pathway analysis implicated
ascorbate and aldarate metabolism (
p=9×10-6), and pentose and glucuronate interconversions (
p=3×10-6) in pathogenesis of diabetic kidney disease.
These data provide further evidence for the role of genetic factors influencing diabetic kidney disease in those with type 1 diabetes and highlight some key pathways that may be responsible. Altogether these results reveal important biology behind the major cause of kidney disease.
| Original language | English |
|---|---|
| Pages (from-to) | 557-574 |
| Number of pages | 8 |
| Journal | Journal of the American Society of Nephrology |
| Volume | 28 |
| Issue number | 2 |
| Early online date | 19 Sept 2016 |
| DOIs | |
| Publication status | Published - Feb 2017 |
Bibliographical note
Copyright © 2016 by the American Society of Nephrology. This article has been accepted for publication in the Journal of the American Society of Nephrology. Funded by European Research CouncilUN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Fingerprint
Dive into the research topics of 'The Genetic Landscape of Renal Complications in Type 1 Diabetes'. Together they form a unique fingerprint.Projects
- 1 Finished
-
R4744CPH: Integrative genomic, epigenetic and functional studies in diabetic kidney disease
Maxwell, P. (PI), McKay, G. (CoI) & McKnight, A. J. (CoI)
27/01/2016 → 31/03/2023
Project: Research
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