Whole blood epigenomic and transcriptomic characterization identifies vulnerable molecular subtypes of chronic coronary disease

Chronic coronary disease (CCD) remains a leading cause of morbidity and mortality worldwide. However, current clinical assessments, including tests of inducible ischemia or coronary artery disease severity poorly discriminate risk for future cardiovascular (CV) disease events among this population with established CCD. To address this gap, our study leverages high-dimensional molecular data from the ISCHEMIA (International Study of Comparative Health Effectiveness with Medical and Invasive Approaches) Trials biorepository to molecularly characterize patients with CCD. By integrating transcriptomic (N = 646) and methylomic (N = 732) data with core-lab confirmed clinical phenotyping, we describe molecular signatures associated with disease severity and identify distinct whole-blood molecular subtypes of CCD. These subtypes demonstrate differential risks of CV events, independent of traditional clinical risk scores, and have distinct molecular and immune profiles. Validation of the transcriptomic and methylomic subtypes in two independent external cohorts confirms the clinical relevance and generalizability of our findings. These findings underscore the potential of blood-based multi-omic approaches to refine risk stratification, improve personalized treatment strategies and advance secondary prevention in CCD. Clinical Trial Registration: ClinicalTrials.gov identifier: NCT01471522; https://clinicaltrials.gov/ct2/show/NCT01471522.

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Publication Details

Journal
Nature Communications
Published
2026-06-16
DOI
https://doi.org/10.1038/s41467-026-73815-5
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Whole blood epigenomic and transcriptomic characterization identifies vulnerable molecular subtypes of chronic coronary disease

Gabin Drouard, Kelly V. Ruggles, Matthew Muller, David J. Maron et al.
Nature Communications
Genetic Associations and Epidemiology
article

Whole blood epigenomic and transcriptomic characterization identifies vulnerable molecular subtypes of chronic coronary disease

Gabin Drouard, Kelly V. Ruggles, Matthew Muller, David J. Maron, Jonathan Newman, MacIntosh Cornwell, Sandhya Rajkumar, David Coit, Terho Lehtimäki, Judith S. Hochman, Jeffrey S. Berger, Paul Sastourne-Haletou, Huan Yang, Olli Raitakari, Ze Chen
article en

Abstract

Chronic coronary disease (CCD) remains a leading cause of morbidity and mortality worldwide. However, current clinical assessments, including tests of inducible ischemia or coronary artery disease severity poorly discriminate risk for future cardiovascular (CV) disease events among this population with established CCD. To address this gap, our study leverages high-dimensional molecular data from the ISCHEMIA (International Study of Comparative Health Effectiveness with Medical and Invasive Approaches) Trials biorepository to molecularly characterize patients with CCD. By integrating transcriptomic (N = 646) and methylomic (N = 732) data with core-lab confirmed clinical phenotyping, we describe molecular signatures associated with disease severity and identify distinct whole-blood molecular subtypes of CCD. These subtypes demonstrate differential risks of CV events, independent of traditional clinical risk scores, and have distinct molecular and immune profiles. Validation of the transcriptomic and methylomic subtypes in two independent external cohorts confirms the clinical relevance and generalizability of our findings. These findings underscore the potential of blood-based multi-omic approaches to refine risk stratification, improve personalized treatment strategies and advance secondary prevention in CCD. Clinical Trial Registration: ClinicalTrials.gov identifier: NCT01471522; https://clinicaltrials.gov/ct2/show/NCT01471522.

Nature Communications
University of Helsinki (FI), Tampere University of Applied Sciences (FI), University of Turku (FI), NYU Langone Health (US), Finland University (FI), Tampere University (FI), Institute for Molecular Medicine Finland (FI), Stanford Medicine (US), New York University (US), Stanford University (US)
National Institutes of Health, National Center for Advancing Translational Sciences
No poverty
Openalex Percentile: Top 8%
Genetic Associations and Epidemiology
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