Evidence map›Paper›PMID 41334702›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Epigenome-Wide Association Study in Asian Cohort Identifies Novel DNA Methylation Markers for Carotid Intima-Media Thickness.

Konstanze Tan, Sarah E Harris, Jane Maddock, Darwin Tay, Pritesh R Jain, HELIOS Study Team, Shi Qi Mok, Maxime Herbrard, Ulf Schminke, Can Can Xue and 16 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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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0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

26 authors.

Konstanze TanLee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore.ORCID 0000-0003-2663-3327
Sarah E HarrisLothian Birth Cohorts, Department of Psychology, University of Edinburgh Edinburgh, United Kingdom.ORCID 0000-0002-4941-5106
Jane MaddockDivision of Surgery and Interventional Science, University College London London, United Kingdom.ORCID 0000-0002-7975-4221
Darwin TayLee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore.ORCID 0000-0002-4309-2772
Pritesh R JainLee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore.ORCID 0000-0002-3720-8409
HELIOS Study Team
Shi Qi MokLaboratory of Complex Disease Genetics, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore.
Maxime HerbrardNPM-Genomic Intelligence & Informatics Engine (NPM-GINIE), Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore.
Ulf SchminkeDepartment of Neurology, University Medicine Greifswald, Greifswald, Germany.ORCID 0000-0002-7508-3176
Can Can XueSingapore Eye Research Institute, Singapore National Eye Centre, Singapore.ORCID 0000-0002-2747-6215
Liuh Ling GohPersonalised Medicine Service, Tan Tock Seng Hospital, Singapore, Singapore.ORCID 0000-0002-1387-3682
Theresia MinaLee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore.ORCID 0000-0002-5360-9915
Alexander TeumerDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.ORCID 0000-0002-8309-094X
Weng Khong LimSingHealth Duke-NUS Institute of Precision Medicine, Singapore, 169609, Singapore.ORCID 0000-0003-4391-1130
Khai Pang LeongPersonalised Medicine Service, Tan Tock Seng Hospital, Singapore, Singapore.ORCID 0000-0003-4060-5525
Khung Keong YeoSingHealth Duke-NUS Institute of Precision Medicine, Singapore, 169609, Singapore.ORCID 0000-0002-5457-4881
Ching-Yu ChengSingapore Eye Research Institute, Singapore National Eye Centre, Singapore.ORCID 0000-0003-0655-885X
Xueling SimSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, 117549, Singapore.ORCID 0000-0002-1233-7642
Lee Eng SingLee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore.ORCID 0000-0003-4963-535X
Joanna M WardlawCentre for Clinical Brain Sciences, UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-9812-6642
Henry VölzkeInstitute for Community Medicine, University Medicine Greifswald Greifswald, Germany.ORCID 0000-0001-7003-399X
Andrew WongUnit for Lifelong Health and Ageing, MRC National Survey of Health and Development, University College London, London, United Kingdom.ORCID 0000-0003-2079-4779
Simon R CoxLothian Birth Cohorts, Department of Psychology, University of Edinburgh Edinburgh, United Kingdom.ORCID 0000-0003-4036-3642
Rinkoo DalanSenior Consultant, Department of Endocrinology, Tan Tock Seng Hospital, National Healthcare Group, Singapore, Singapore.ORCID 0000-0001-9769-2696
Abbas DehghanSchool of Public Health, Faculty of Medicine, Imperial College London, United Kingdom.ORCID 0000-0001-6403-016X
Marie LohLee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore.ORCID 0000-0003-3626-8466

Funding

Longitudinal multi-omic biomarkers for neurocognitive decline prior to dementia onsetU01AG083829 · NIA · UNIVERSITY OF EDINBURGH · PI Sarah Elizabeth Harris · 2024 to 2026
$3.5M
NIA NIH HHS U01 AG083829Wellcome Trust
6 · The paper itself

Abstract

Background: Carotid-intima media-thickness predicts cardiovascular events and informs mechanistic research on cardiovascular diseases (CVD). However, CVD research remains Eurocentric despite etiological differences across ancestries. Incorporating Asian populations- who face substantial CVD burden with distinct etiological landscape- can enhance our understanding of cIMT biology and subclinical processes linked to CVD. This study aimed to elucidate methylation-based mechanisms of cIMT through DNA methylation profiling integrated with multi-omics data and clinically informative cIMT thresholds, leveraging an Asian cohort to enhance discovery. Methods: We conducted an epigenome-wide association study (EWAS) of cIMT using peripheral blood DNA methylation at ~850,000 CpG sites in the Asian Health for Life in Singapore (HELIOS) cohort (n=1,357), followed by targeted trans-ancestry meta-analysis with European cohorts (overall n=2,765). Causal inference analyses (summary data-based Mendelian Randomisation [SMR] and colocalisation) evaluated methylation-mediated effects on cIMT, CVD and proximal gene expression. We derived a methylation risk score (MRS) and tested its association with cIMT thresholds indicative of elevated cardiovascular risk (≥75 Results: Three novel CpG-cIMT associations were identified (P<9.35E-07). Causal analyses supported cg08227773 methylation-mediated effects on both coronary artery disease risk (P Conclusions: Through Asian-led discovery, this study identifies three novel DNA methylation markers for cIMT that are linked to cIMT elevation above clinically meaningful risk thresholds. Causal inference analyses suggest methylation-mediated CAD risk via

Indexed as

AsianatherosclerosisCarotid intima-media thickness (cIMT)DNA methylationEpigenome-wide association study (EWAS)

Identifiers

PMID41334702
PMCPMC12668099

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