Molecular Phenogroups in Heart Failure: Large-Scale Proteomics in a Population-Based Cohort
Our study demonstrates that molecular phenomapping can stratify patients with HF into distinct subgroups that go beyond predefined clinical classifications.
Authors
- Bruce M. Psaty (ORCID: https://orcid.org/0000-0002-7278-2190)
- Suzette J. Bielinski (ORCID: https://orcid.org/0000-0002-2905-5430)
- Jorge R. Kizer (ORCID: https://orcid.org/0000-0001-9936-7803)
- Carolina G Downie (ORCID: https://orcid.org/0000-0001-6972-9981)
- Véronique L. Roger (ORCID: https://orcid.org/0000-0002-9347-7865)
- Kayode O. Kuku (ORCID: https://orcid.org/0000-0003-3366-0702)
- Jungnam Joo (ORCID: https://orcid.org/0000-0001-6961-8122)
- Joseph J. Shearer (ORCID: https://orcid.org/0000-0002-1443-7428)
Institutions
- San Francisco VA Medical Center (US)
- Mayo Clinic (US)
- National Heart, Lung, and Blood Institute (US)
- Department of Health (TW)
- Mayo Clinic in Arizona (US)
- San Francisco VA Health Care System (US)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- Circulation Genomic and Precision Medicine
- Published
- 2025-07-16
- DOI
- https://doi.org/10.1161/circgen.124.004953
- Citations
- 2
- Primary Topic
- GDF15 and Related Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 3.34