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Enhanced resolution profiling in twins reveals differential methylation signatures of type 2 diabetes with links to its complications.
- Source :
-
EBioMedicine [EBioMedicine] 2024 May; Vol. 103, pp. 105096. Date of Electronic Publication: 2024 Apr 04. - Publication Year :
- 2024
-
Abstract
- Background: Type 2 diabetes (T2D) susceptibility is influenced by genetic and environmental factors. Previous findings suggest DNA methylation as a potential mechanism in T2D pathogenesis and progression.<br />Methods: We profiled DNA methylation in 248 blood samples from participants of European ancestry from 7 twin cohorts using a methylation sequencing platform targeting regulatory genomic regions encompassing 2,048,698 CpG sites.<br />Findings: We find and replicate 3 previously unreported T2D differentially methylated CpG positions (T2D-DMPs) at FDR 5% in RGL3, NGB and OTX2, and 20 signals at FDR 25%, of which 14 replicated. Integrating genetic variation and T2D-discordant monozygotic twin analyses, we identify both genetic-based and genetic-independent T2D-DMPs. The signals annotate to genes with established GWAS and EWAS links to T2D and its complications, including blood pressure (RGL3) and eye disease (OTX2).<br />Interpretation: The results help to improve our understanding of T2D disease pathogenesis and progression and may provide biomarkers for its complications.<br />Funding: Funding acknowledgements for each cohort can be found in the Supplementary Note.<br />Competing Interests: Declaration of interests The authors have no conflicts to declare.<br /> (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)
- Subjects :
- Humans
Female
Male
Genome-Wide Association Study
Genetic Predisposition to Disease
Middle Aged
Epigenesis, Genetic
Otx Transcription Factors genetics
Otx Transcription Factors metabolism
Diabetes Complications genetics
Gene Expression Profiling
Diabetes Mellitus, Type 2 genetics
DNA Methylation
CpG Islands
Subjects
Details
- Language :
- English
- ISSN :
- 2352-3964
- Volume :
- 103
- Database :
- MEDLINE
- Journal :
- EBioMedicine
- Publication Type :
- Academic Journal
- Accession number :
- 38574408
- Full Text :
- https://doi.org/10.1016/j.ebiom.2024.105096