Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease
| Autor: | Smyth, Laura J, Dahlström, Emma H, Syreeni, Anna, Kerr, Katie, Kilner, Jill, Doyle, Ross, Brennan, Eoin, Nair, Viji, Fermin, Damian, Nelson, Robert G, Looker, Helen C, Wooster, Christopher, Andrews, Darrell, Anderson, Kerry, McKay, Gareth J, Cole, Joanne B, Salem, Rany M, Conlon, Peter J, Kretzler, Matthias, Hirschhorn, Joel N, Sadlier, Denise, Godson, Catherine, Florez, Jose C, GENIE consortium, Forsblom, Carol, Maxwell, Alexander P, Groop, Per-Henrik, Sandholm, Niina, McKnight, Amy Jayne |
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| Přispěvatelé: | Research Programs Unit, HUS Internal Medicine and Rehabilitation, HUS Abdominal Center, Nefrologian yksikkö, CAMM - Research Program for Clinical and Molecular Metabolism, Medicum, Clinicum, Institute for Molecular Medicine Finland, Department of Medicine, Per Henrik Groop / Principal Investigator |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
GENIE consortium
Kidney Disease Renal and urogenital General Physics and Astronomy Expression Autoimmune Disease Losartan General Biochemistry Genetics and Molecular Biology Epigenesis Genetic Epigenome Genetic Diabetes Mellitus Genetics 2.1 Biological and endogenous factors Humans Diabetic Nephropathies Aetiology Metabolic and endocrine Multidisciplinary Progression Loci DNA Methylation - genetics Human Genome Diabetes General Chemistry DNA DNA Methylation Nephropathy Diabetes Mellitus Type 1 Diabetic Nephropathies - genetics 3121 General medicine internal medicine and other clinical medicine Diabetes Mellitus Type 1 - complications - genetics CpG Islands Biomarkers Type 1 Epigenesis Genome-Wide Association Study |
| Zdroj: | Smyth, L J, Dahlström, E H, Syreeni, A, Kerr, K, Kilner, J, Doyle, R, Brennan, E, Nair, V, Fermin, D, Nelson, R G, Looker, H C, Wooster, C, Andrews, D, Anderson, K, McKay, G J, Cole, J B, Salem, R M, Conlon, P J, Kretzler, M, Hirschhorn, J N, Sadlier, D, Godson, C, Florez, J C, GENIE Consortium, Forsblom, C, Maxwell, A P, Groop, P H, Sandholm, N & McKnight, A J 2022, ' Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease ', Nature Communications, vol. 13, 7891 . https://doi.org/10.1038/s41467-022-34963-6 Nature communications, vol 13, iss 1 |
| DOI: | 10.1038/s41467-022-34963-6 |
| Popis: | Type 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. |
| Databáze: | OpenAIRE |
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