Proteomic Signatures for Risk Prediction of Atrial Fibrillation
Protein risk score derived from a single plasma sample improved risk prediction of AF. Further research using proteomic signatures in AF screening and prevention is needed.
Authors
- Hanjin Park (ORCID: https://orcid.org/0000-0002-7965-532X)
- Jae‐Sun Uhm (ORCID: https://orcid.org/0000-0002-1611-8172)
- Boyoung Joung (ORCID: https://orcid.org/0000-0001-9036-7225)
- Hui‐Nam Pak (ORCID: https://orcid.org/0000-0002-3256-3620)
- Moon‐Hyoung Lee (ORCID: https://orcid.org/0000-0002-7268-0741)
- Daehoon Kim (ORCID: https://orcid.org/0000-0002-9736-450X)
- Faye L. Norby (ORCID: https://orcid.org/0000-0002-1975-0405)
- Eunsun Jang (ORCID: https://orcid.org/0000-0001-6991-4765)
- Hee Tae Yu (ORCID: https://orcid.org/0000-0002-6835-4759)
- Jung‐Hoon Sung (ORCID: https://orcid.org/0000-0003-3515-5283)
- Pil‐Sung Yang (ORCID: https://orcid.org/0000-0002-6552-1742)
- Tae‐Hoon Kim (ORCID: https://orcid.org/0000-0003-4200-3456)
Institutions
- University of Minnesota (US)
- Yonsei University (KR)
- CHA University Bundang Medical Center (KR)
- Minnesota Department of Health (US)
Publication Details
- Journal
- Circulation
- Published
- 2025-05-22
- DOI
- https://doi.org/10.1161/circulationaha.124.073457
- Citations
- 10
- Primary Topic
- Lipoproteins and Cardiovascular Health
- Type
- article
- Field-Weighted Citation Impact
- 20.06