Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease
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Published:2022-12-22
Issue:1
Volume:13
Page:
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ISSN:2041-1723
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Container-title:Nature Communications
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language:en
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Short-container-title:Nat Commun
Author:
Smyth Laura J.ORCID, Dahlström Emma H.ORCID, Syreeni AnnaORCID, Kerr Katie, Kilner JillORCID, Doyle Ross, Brennan EoinORCID, Nair Viji, Fermin Damian, Nelson Robert G., Looker Helen C., Wooster ChristopherORCID, Andrews Darrell, Anderson Kerry, McKay Gareth J., Cole Joanne B.ORCID, Salem Rany M.ORCID, Conlon Peter J., Kretzler MatthiasORCID, Hirschhorn Joel N., Sadlier Denise, Godson Catherine, Florez Jose C.ORCID, Forsblom CarolORCID, Maxwell Alexander P.ORCID, Groop Per-HenrikORCID, Sandholm NiinaORCID, McKnight Amy JayneORCID,
Abstract
AbstractType 1 diabetes affects over nine million individuals globally, with approximately 40% developing diabetic kidney disease. Emerging evidence suggests that epigenetic alterations, such as DNA methylation, are involved in diabetic kidney disease. Here we assess differences in blood-derived genome-wide DNA methylation associated with diabetic kidney disease in 1304 carefully characterised individuals with type 1 diabetes and known renal status from two cohorts in the United Kingdom-Republic of Ireland and Finland. In the meta-analysis, we identify 32 differentially methylated CpGs in diabetic kidney disease in type 1 diabetes, 18 of which are located within genes differentially expressed in kidneys or correlated with pathological traits in diabetic kidney disease. We show that methylation at 21 of the 32 CpGs predict the development of kidney failure, extending the knowledge and potentially identifying individuals at greater risk for diabetic kidney disease in type 1 diabetes.
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry,Multidisciplinary
Reference75 articles.
1. Pasarica, M., St Onge, E. & Lee, E. Diabetes: Type 1 Diabetes. FP Essent 11–15 (2021). 2. UK Renal Registry (2021) UK Renal Registry 23rd Annual Report - data to 31/12/2019, Bristol, UK. Available from renal.org/audit-research/annual-report. 3. United States Renal Data System. 2020 USRDS Annual Data Report: Epidemiology of Kidney Disease in the United States (National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, 2020). 4. Lee, Y. et al. Risk of end-stage renal disease from chronic kidney disease defined by decreased glomerular filtration rate in type 1 diabetes: a comparison with type 2 diabetes and the effect of metabolic syndrome. Diabetes Metab. Res. Rev. 35, e3197 (2019). 5. Stankov, K., Benc, D. & Draskovic, D. Genetic and epigenetic factors in etiology of diabetes mellitus type 1. Pediatrics 132, 1112–1122 (2013).
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