Predicting Atrial Fibrillation with a Genetic Risk Score
Official title: Development of an Atrial Fibrillation Prediction Model Using Polygenic Risk Score: A Prospective Cohort Study
Run by Seoul St. Mary's Hospital · NCT07641582 · Data updated 2026-11-12
Researchers test whether a polygenic risk score can help flag people likely to have undiagnosed atrial fibrillation, alongside at-home and clinic heart monitoring.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 20 Years to 79 Years |
| Sex | All |
| Enrollment | 800 (estimated) |
| Sponsor | Seoul St. Mary's Hospital Academic / other |
| Locations | 5 sites (Incheon and 4 other locations) |
| Status | Recruiting |
| Started | November 19, 2024 |
| Main results expected | December 30, 2026 |
| Study ends | June 30, 2027 |
| Registry record updated | June 11, 2026 |
| Trial ID | NCT07641582 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 60 or older with AF risk factors or symptoms suggestive of paroxysmal AF, who have not been previously diagnosed with AF.
✕Probably not a fit
Individuals younger than 60 without risk factors or those with existing AF diagnosis may derive less benefit from this approach.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study enrolls adults at risk for AF and uses a genetic risk score derived from SNP data to predict AF. Participants wear a 7-day continuous ECG patch, provide a blood sample for SNP genotyping, and use a handheld six-lead ECG at home for up to a year, with five in-clinic visits. The goal is to see if combining genetic risk with medical history improves AF prediction over using history alone. The study will develop and validate a scoring system to identify individuals at higher AF risk to inform targeted screening. Overall, the trial integrates genetic testing with wearable and handheld ECG monitoring to enhance early AF detection.
Why it matters
Potential benefit: If successful, the approach could enable earlier and more targeted AF screening, potentially reducing stroke risk through timely treatment.
How similar studies have gone: Prior research suggests polygenic risk scores can stratify AF risk, but integrating PRS with practical screening tools in a prospective design is still being evaluated.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients with symptoms suggestive of paroxysmal atrial fibrillation, such as intermittent palpitations or chest discomfort * Asymptomatic patients aged 60 or older with at least one of the following risk factors for atrial fibrillation: hypertension, diabetes, coronary artery disease, valvular heart disease, cardiomyopathy, sleep apnea, hyperthyroidism, obesity (BMI greater than 30), or chronic alcohol dependence (drinking more than 3 times per week) Exclusion Criteria: * Age under 20 years or over 80 years * Moderate or severe cognitive impairment * Previously diagnosed with atrial fibrillation prior to study enrollment * Does not consent to participate in the study
Where it's running
-
The Catholic University of Korea Incheon St. Mary's Hospital
Incheon, South Korea Recruiting -
The Catholic University of Korea Seoul St. Mary's Hospital
Seoul, South Korea Recruiting -
The Catholic University of Korea Eunpyeong St. Mary's Hospital
Seoul, South Korea Recruiting -
The Catholic University of Korea St. Vincent's Hospital
Suwon, South Korea Recruiting -
The Catholic University of Korea Uijeongbu St. Mary's Hospital
Uijeongbu-si, South Korea Recruiting
Study contacts
- Principal investigator: Young Choi, MD, PhD — The Catholic University of Korea
- Study coordinator: Young Choi, MD, PhD
- Email: superstar@catholic.ac.kr
- Phone: 82-2-1588-1511
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.