Nuclear regulatory disturbances precede and predict the development of Type-2 diabetes in Asian populations.

ABSTRACT: To identify biomarkers and pathways to Type-2 diabetes (T2D), a major global disease, we completed array-based epigenome-wide association in whole blood in 5,709 Asian people. We found 323 Sentinel CpGs (from 314 genetic loci) that predict future T2D. The CpGs reveal coherent, nuclear regulatory disturbances in canonical immune activation pathways, as well as metabolic networks involved in insulin signalling, fatty acid metabolism and lipid transport, which are causally linked to development of T2D. The CpGs have potential clinical utility as biomarkers. An array-based composite Methylation Risk Score (MRS) is predictive for future T2D (RR: 5.2 in Q4 vs Q1; P=7×10^-25), and is additive to genetic risk. Targeted methylation sequencing revealed multiple additional CpGs predicting T

SUBMITTER: Jain PR 

PROVIDER: S-EPMC11844604 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature