Evidence map›Paper›PMID 41424234›Full record

ArticleEpigenomics2026

Epigenome-wide mediation analysis identified Cytosine-phosphate-Guanine sites linking environmental factors with diabetes indicators.

Wan-Yu Lin

Abstract read
In one paragraph

Article in Epigenomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

Wan-Yu LinInstitute of Health Data Analytics and Statistics, College of Public Health, National Taiwan University, Taipei, Taiwan.ORCID 0000-0002-3385-4702

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsEnvironmental factors can alter DNA methylation (DNAm) levels, influence gene expression, and then change fasting glucose (FG) or hemoglobin A1c (HbA1c).

methodsThrough analyzing DNAm data of 2366 Taiwan Biobank individuals aged between 30 and 70 years, I evaluated the role of DNAm in mediating the associations of seven non-genetic factors (BMI, chronological age, sex, smoking, drinking alcoholic beverages, education, and regular exercise) with FG and HbA1c.

resultsAmong 846,232 Cytosine-phosphate-Guanine (CpG) sites, the single-mediator model explored that 21, 15, 10, 3, 3, and 1 CpGs significantly mediated (

conclusionFour of the 8 CpGs (cg19693031, cg04816311, cg00574958, and cg11024682) were associated with the expression of genes implicated in diabetes and metabolism, including the

Indexed as

Diabetes MellitusDNA MethylationEpigenesis, GeneticEpigenomeAdultAgedBlood GlucoseCpG IslandsFemaleGenome-Wide Association StudyGlycated HemoglobinHumansMaleMediation AnalysisMiddle AgedBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanAgingbiomarkersDNA methylationoxidative stresssmoking

Identifiers

PMID41424234
PMCPMC12826702

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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.