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

Matthew Muller1,2,3,4, MacIntosh G Cornwell1,2, Sandhya Rajkumar1,2,4

  • 1Division of Precision Medicine, Department of Medicine, New York University Langone Health, New York, NY, USA.

Nature Communications
|June 16, 2026
PubMed

Insights

New blood tests using multi-omic data can identify distinct chronic coronary disease (CCD) subtypes. These subtypes predict cardiovascular event risk better than current methods, improving personalized treatment for CCD patients.

Area of Science:

  • Cardiovascular Medicine
  • Genomics
  • Molecular Biology

Background:

  • Chronic coronary disease (CCD) is a major global health burden.
  • Current clinical assessments inadequately predict cardiovascular (CV) event risk in CCD patients.
  • A need exists for improved risk stratification tools in established CCD.

Purpose of the Study:

  • To molecularly characterize patients with CCD using high-dimensional omic data.
  • To identify distinct molecular subtypes of CCD associated with CV event risk.
  • To validate these subtypes in independent cohorts for generalizability.

Main Methods:

  • Integrated transcriptomic (N=646) and methylomic (N=732) data from the ISCHEMIA Trial biorepository.
  • Combined molecular data with core-lab confirmed clinical phenotyping.
  • Validated molecular subtypes in two independent external cohorts.

Main Results:

  • Identified distinct whole-blood molecular subtypes of CCD.
  • These subtypes showed differential CV event risks, independent of clinical scores.
  • Subtypes exhibited unique molecular and immune profiles, confirmed by external validation.

Conclusions:

  • Blood-based multi-omic approaches can refine risk stratification in CCD.
  • Molecular subtypes offer potential for personalized treatment strategies.
  • These findings advance secondary prevention efforts for patients with CCD.

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