Methylome-wide association studies and epigenetic biomarker development for 133 mass spectrometry-assessed circulating proteins in 14,671 Generation Scotland participants
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background: DNA methylation (DNAm) can regulate gene expression, and its genome-wide patterns (epigenetic scores or EpiScores) can act as biomarkers for complex traits. The relative stability of methylation profiles may enable better assessment of chronic exposures compared to single time-point protein measures. We present the first large-scale epigenetic study of the highly-abundant serum proteome measured via ultra-high throughput mass spectrometry in 14,671 samples from the Generation Scotland cohort. We further demonstrate the first large-scale comparison of protein EpiScores and their respective proteins as predictors of incident cardiovascular disease. Conclusions: We highlight a complex interplay between the blood-based methylome and proteome. Importantly, we show that protein EpiScores correlate with measured proteins and demonstrate that the, as-yet understudied, high-abundance proteome may yield clinically relevant biomarkers. The protein EpiScores demonstrate more significant associations with cardiovascular disease than directly measured proteins, suggesting their potential as clinical biomarkers for monitoring or predicting disease risk. We suggest that biomarker development could be enhanced by the consideration of protein EpiScores alongside measured proteins. Supplementary information: The online version contains supplementary material available at 10.1186/s13059-025-03892-0.
DOI: 10.5167/uzh-282596
Authors: Robertson, Josephine A., Bajzik, Jakub, Vernardis, Spyros, Chybowska, Aleksandra D., McCartney, Daniel L., Grauslys, Arturas, Mur, Jure, Smith, Hannah M., Campbell, Archie, Drake, Camilla, Grant, Hannah, Pearce, Jamie, Russ, Tom C., Adkin, Poppy, White, Matthew, Brigden, Charles, Messner, Christoph B., Porteous, David J., Hayward, Caroline, Cox, Simon R., Zelezniak, Aleksej, Ralser, Markus, Robinson, Matthew R., Marioni, Riccardo E.
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7124708952
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