Evidence map›Paper›PMID 41151542›Full record

ArticleDiabetes & metabolism journal2026

Elucidating the Epigenetic Landscape of Type 2 Diabetes Mellitus: A Multi-Omics Analysis Revealing Novel CpG Sites and Their Association with Cardiometabolic Traits.

Ren-Hua Chung, Chun-Chao Wang, Djeane Debora Onthoni, Ben-Yang Liao, Tzu-Sheng Hsu, Eden R Martin, Chao A Hsiung, Wayne Huey-Herng Sheu, Hung-Yi Chiou

Abstract read
In one paragraph

Article in Diabetes & metabolism journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ren-Hua ChungInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.
Chun-Chao WangInstitute of Molecular Medicine & Department of Medical Science, College of Life Sciences and Medicine, National Tsing Hua University, Hsinchu, Taiwan.
Djeane Debora OnthoniInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.
Ben-Yang LiaoInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.
Tzu-Sheng HsuInstitute of Molecular and Cellular Biology, College of Life Sciences and Medicine, National Tsing Hua University, Hsinchu, Taiwan.
Eden R MartinJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA.
Chao A HsiungInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.
Wayne Huey-Herng SheuInstitute of Molecular and Genomic Medicine, National Health Research Institutes, Zhunan, Taiwan.
Hung-Yi ChiouInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.

Funding

The Human Pancreas Analysis Program for Type 2 DiabetesU01DK123594 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Robert Babak Faryabi, KLAUS H KAESTNER · 2019 to 2026
$25.0M
Penn integrated Human Pancreas procurement and Analysis ProgramUC4DK112217 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI BETTS, MICHAEL R, FELDMAN, MICHAEL D · 2016 to 2020
$17.8M
Supplement to Integrated Program for Human Pancreas Procurement and AnalysisUC4DK112232 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ATKINSON, MARK A., POWERS, ALVIN C · 2016 to 2020
$8.4M
Human Pancreas Analysis Program-T2DU01DK123716 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ATKINSON, MARK A., BOTTINO, RITA · 2019 to 2024
$6.6M
National Health Research Institutes PH-112-GP-04National Health Research Institutes PH-112-PP-10National Science and Technology Council in Taiwan MOST 114-2221-E-400-003-MY3NIDDK NIH HHS U01 DK123594NIDDK NIH HHS U01 DK123716NIDDK NIH HHS UC4 DK112217NIDDK NIH HHS UC4 DK112232
6 · The paper itself

Abstract

backgruoundType 2 diabetes mellitus (T2DM) is a complex, multifactorial disease with a significant global burden. Although genome-wide association studies (GWAS) have identified many T2DM-associated variants, most lie in non-coding regions, making it difficult to interpret their functional roles.

methodsWe aimed to identify genetically regulated Cytosine-phosphate-Guanine (CpG) sites associated with T2DM by conducting a methylome-wide association study (MWAS), followed by Mendelian randomization (MR) and functional validation using human pancreatic cells and mouse models. MWAS was performed using summary statistics from large-scale GWAS and a DNA methylation (DNAm) prediction model to test associations between genetically predicted DNAm and T2DM.

resultsWe identified 111 CpG sites significantly associated with T2DM in Europeans, including 8 novel sites near genes not previously linked to T2DM. These findings were replicated in independent datasets. Many CpGs also showed associations with cardiometabolic traits, highlighting shared epigenetic mechanisms. Trans-ethnic MR analysis confirmed consistent effects for six CpGs in East Asians. Functional analysis revealed that several CpGs regulate gene expression in human pancreatic α- and β-cells. Among them, 2´-5´-oligoadenylate synthetase like (OASL) expression, regulated by a significant CpG, was differentially expressed in α-cells of T2DM cases compared to controls. Supporting evidence from mouse models suggests a role for OASL in glucose regulation.

conclusionOur study identifies novel genetically regulated CpG sites associated with T2DM risk and highlights OASL as a potential epigenetic regulator of glucose metabolism in α-cells. These findings provide mechanistic insights into the epigenetic architecture of T2DM and suggest potential targets for cross-ethnic biomarker development and therapeutic intervention.

Indexed as

CpG IslandsDiabetes Mellitus, Type 2DNA MethylationEpigenesis, GeneticAnimalsEpigenomicsGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansInsulin-Secreting CellsMendelian Randomization AnalysisMiceMultiomicsDiabetes mellitus, type 2DNA methylationEpigenomicsGenome-wide association studyMendelian randomization analysis

Identifiers

PMID41151542
PMCPMC12813400

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.