Epigenome-wide association study of blood proteome in the Atherosclerosis Risk in Communities study
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.
Authors
- Morgan E. Grams (ORCID: https://orcid.org/0000-0002-4430-6023)
- Zulema Rodriguez-Hernandez (ORCID: https://orcid.org/0000-0003-0720-384X)
- Pascal Schlosser
- Josef Coresh
- Eric Boerwinkle
- Megan L. Grove
- Bing Yu
- Eugene P. Rhee
- Aditya Surapaneni
- Yang Li (7082)
Institutions
- Johns Hopkins University (US)
- University of Freiburg (DE)
- University Medical Center Freiburg (DE)
- Mass General Brigham (US)
- New York University (US)
- The University of Texas Health Science Center at Houston (US)
Publication Details
- Journal
- Human Genetics and Genomics Advances
- Published
- 2026-03-04
- DOI
- https://doi.org/10.1016/j.xhgg.2026.100585
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00