Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease

Laura J. Smyth, Emma H. Dahlström, Anna Syreeni, Katie Kerr, Jill Kilner, Ross Doyle, Eoin Brennan, Viji Nair, Damian Fermin, Robert G. Nelson, Helen C. Looker, Christopher Wooster, Darrell Andrews, Kerry Anderson, Gareth J. McKay, Joanne B. Cole, Rany M. Salem, Peter J. Conlon, Matthias Kretzler, Joel N. Hirschhorn, Denise Sadlier, Catherine Godson, Jose C. Florez, Carol Forsblom, Alexander P. Maxwell, Per-Henrik Groop, Niina Sandholm () and Amy Jayne McKnight ()
Additional contact information
Laura J. Smyth: Queen’s University Belfast
Emma H. Dahlström: Folkhälsan Research Center
Anna Syreeni: Folkhälsan Research Center
Katie Kerr: Queen’s University Belfast
Jill Kilner: Queen’s University Belfast
Ross Doyle: University College Dublin
Eoin Brennan: University College Dublin
Viji Nair: University of Michigan School of Medicine
Damian Fermin: University of Michigan School of Medicine
Robert G. Nelson: National Institute of Diabetes and Digestive and Kidney Diseases
Helen C. Looker: National Institute of Diabetes and Digestive and Kidney Diseases
Christopher Wooster: Queen’s University Belfast
Darrell Andrews: University College Dublin
Kerry Anderson: Queen’s University Belfast
Gareth J. McKay: Queen’s University Belfast
Joanne B. Cole: Broad Institute
Rany M. Salem: University of California San Diego
Peter J. Conlon: Beaumont Hospital and Department of Medicine Royal College of Surgeons in Ireland
Matthias Kretzler: University of Michigan
Joel N. Hirschhorn: Broad Institute
Denise Sadlier: Mater Misericordiae Hospital
Catherine Godson: University College Dublin
Jose C. Florez: Broad Institute
Carol Forsblom: Folkhälsan Research Center
Alexander P. Maxwell: Queen’s University Belfast
Per-Henrik Groop: Folkhälsan Research Center
Niina Sandholm: Folkhälsan Research Center
Amy Jayne McKnight: Queen’s University Belfast

Nature Communications, 2022, vol. 13, issue 1, 1-16

Abstract: Abstract 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.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-022-34963-6 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34963-6

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-022-34963-6

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().