Evidence map›Paper›PMID 41782372›Full record

ArticleHGG advances2026

Epigenome-wide association study of blood proteome in the Atherosclerosis Risk in Communities study.

Yang Li, Aditya Surapaneni, Zulema Rodriguez-Hernandez, Pascal Schlosser, Eugene P Rhee, Eric Boerwinkle, Bing Yu, Megan L Grove, Kelly V Ruggles, Josef Coresh and 1 more

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Yang LiDivision of Precision Medicine, New York University Grossman School of Medicine, New York, NY, USA.
Aditya SurapaneniDivision of Precision Medicine, New York University Grossman School of Medicine, New York, NY, USA.
Zulema Rodriguez-HernandezInstitute of Epidemiology and Prevention, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Pascal SchlosserInstitute of Epidemiology and Prevention, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Centre for Integrative Biological Signaling Studies (CIBSS), University of Freiburg, Freiburg, Germany.
Eugene P RheeNephrology Division, Mass General Brigham, Boston, MA, USA.
Eric BoerwinkleHuman Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.
Bing YuHuman Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.
Megan L GroveHuman Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.
Kelly V RugglesDivision of Precision Medicine, New York University Grossman School of Medicine, New York, NY, USA.
Josef CoreshOptimal Aging Institute, New York University Grossman School of Medicine, New York, NY, USA.
Morgan GramsDivision of Precision Medicine, New York University Grossman School of Medicine, New York, NY, USA. Electronic address: morgan.grams@nyulangone.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterizing the relationship between DNA methylation and circulating proteins is critical to understanding the epigenetic regulation of the human plasma proteome. Here, we performed an epigenome-wide association study of 5,032 circulating proteins in 1,449 White and 315 Black participants from the Atherosclerosis Risk in Communities cohort. We identified 12,500 significant protein quantitative trait methylation (pQTM)-protein associations involving 1,647 proteins. Among 7,796 unique pQTMs, 14.7% were classified as cis-pQTMs, which were enriched for fundamental cellular processes, whereas trans-pQTMs were predominantly linked to immune-related functions. Trans-pQTMs also exhibited stronger associations with demographic, lifestyle, and clinical traits as compared with cis-pQTMs. We identified proteins such as GM2A and EPHB6, whose expression appears to be strongly associated with DNA methylation, suggesting potential as targets for epigenetic-based therapeutic interventions. These findings demonstrate the extensive impact of DNA methylation on the circulating proteome through cis- and trans-regulatory mechanisms and underscore the influence of population-level traits on epigenetic regulation. These findings highlight a broad impact of DNA methylation on circulating proteins through both cis- and trans-regulatory mechanisms and the roles of population-level phenotypes.

Indexed as

AtherosclerosisBlood ProteinsEpigenesis, GeneticEpigenomeGenome-Wide Association StudyProteomeDNA MethylationFemaleHumansMaleMiddle AgedBlood ProteinsProteomeblood proteomecis-pQTMepigenome-wide association studytrans-pQTM

Identifiers

PMID41782372
PMCPMC13014933

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LicenceCC BY-NC-ND
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Registered trials

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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.