ClinicalTrials.gg
RecruitingNCT07641582PREGENCEUpdated Jun 11, 2026

Prediction of Atrial Fibrillation Using Polygenic Risk Score

An interventional study of 7-day continuous ECG patch monitor and Six-lead handheld electrocardiogram device in Atrial Fibrillation (AF), sponsored by Seoul St. Mary's Hospital. Recruiting at 5 sites in South Korea. Open to participants aged 20 Years to 79 Years. Per ClinicalTrials.gov, last updated 2026-06-11.

Sponsored by Seoul St. Mary's Hospital · Not applicable, Interventional, and Diagnostic

From the registry’s dates

  • Registered 1 year 6 months after the study started (first participant enrolled Nov 2024, registered Jun 2026).
  • Started Nov 2024; still recruiting 1 year 11 months later.
Phase
Not applicable
Study type
Interventional
Enrollment
800
Allocation
Not applicable
Ages
20 Years to 79 Years
Sex
All
01

Where this study stands

Counted across the records on this site · 2026-11-12

Among 207 studies in Atrial Fibrillation with a site in Korea, Republic of — 59 open to participants now, 67 under way, 2 of them phase 3. Atrial Fibrillation · Korea, Republic of.

Planned enrollment
39th of 142
800 · median 299
Started
2024
with 10 others
No phase
89 of 207
34 open now
Primary completion
2026-12
later than 21 of 66 live
Registered
195th of 207
by date

Among the 207 studies in Atrial Fibrillation with a site in Korea, Republic of, this one is the 39th largest by planned enrollment of the 142 interventional ones that give a count, is one of 11 that started in 2024, is one of 89 with no phase, reaches primary completion later than 21 of the 66 other live ones, and was the 195th registered.

Atrial Fibrillation

4,009 studies on the registry are indexed under Atrial Fibrillation; 961 are open to participants now.

This study's planned enrollment of 800 is above the median of 150 across 2,476 interventional studies indexed under Atrial Fibrillation.

Browse Atrial Fibrillation studies →

Open to participants now

59 of the 207 studies in Atrial Fibrillation with a site in Korea, Republic of are open now.

All 59 open studies →

A study can be open while its sites in Korea, Republic of have not opened yet or have stopped. Only those recruiting at a site in Korea, Republic of →

Who these studies take

Of the 612 Atrial Fibrillation studies recruiting now, 407 (67%) set no upper age limit and 44 (7%) stop at 75 or younger; 21 take children under 18; 43 take healthy volunteers.

This study: 20 Years to 79 Years · all sexes · no healthy volunteers.

The full table on the hub →
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Watch this landscapeDownload CSVNarrow it in search →With an account: a weekly mail of what changed among 207 studies in Atrial Fibrillation with a site in Korea, Republic of, or all of them as a file.
02

Study summary

The goal of this clinical trial is to learn whether a genetic risk score can help identify undiagnosed atrial fibrillation (AF) in adults who may have it. AF is an irregular heartbeat that raises the risk of stroke if not treated early.

The main questions it aims to answer are:

Can a polygenic risk score (PRS) - a score based on a person's genes - identify who is more likely to have AF? Does combining PRS with a person's medical history predict AF better than using medical history alone?

Participants will:

Wear a continuous ECG patch for 7 days to record heart rhythm Give a blood sample for genetic testing to calculate their PRS Use a six-lead handheld ECG device (HATIV® P30, VUNO Inc., Seoul, Republic of Korea) to check their own heart rhythm at home once or twice a week for 1 year Visit the clinic 5 times over 1 year

Researchers will use the genetic and clinical information collected to build a scoring system that predicts who is at risk for AF.

Read the detailed description

Atrial fibrillation (AF) is the most common cardiac arrhythmia worldwide, affecting approximately 34 million individuals. While early diagnosis and treatment can significantly reduce the risk of stroke, paroxysmal AF often goes undetected due to its intermittent nature. Current screening guidelines lack clear recommendations on which populations benefit most from AF screening and what screening strategies are optimal.

Genome-wide association studies have identified numerous genetic loci associated with AF susceptibility, and the SNP heritability of AF has been estimated at approximately 22%. A polygenic risk score (PRS) aggregates the effects of thousands of common genetic variants across the genome to estimate an individual's genetic predisposition to AF. Prior studies have demonstrated that PRS can stratify AF risk independently of conventional clinical risk factors, suggesting its potential utility in targeted screening strategies.

Genetic Assessment At enrollment, a blood sample of 5cc is collected for DNA extraction via centrifugation. A SNP array is performed using a commercially available SNP chip kit. The resulting genotype data are used to calculate a weighted PRS for AF based on previously published genome-wide association study results.

ECG Monitoring In addition to standard 12-lead ECG and 7-day continuous ECG patch monitoring performed at enrollment, all participants are provided with a six-lead handheld ECG device (HATIV® P30, VUNO Inc., Seoul, Republic of Korea). Participants perform self-ECG recordings at least once or twice per week and additionally upon symptom onset for 1 year after enrollment.

Prediction Model Development At the end of follow-up, participants are classified into AF-diagnosed and non-AF groups. A scoring system integrating clinical history and PRS will be developed to predict AF occurrence and its predictive performance will be evaluated.

03

Conditions studied

  • Atrial Fibrillation (AF)

Keywords

  • Polygenic Risk Score
  • Atrial Fibrillation Screening
  • Handheld ECG
  • SNP Array
  • Holter Monitoring
  • Genetic Risk
04

Who can participate

Ages eligible
20 Years to 79 Years
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

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 ( greater than 30), or chronic alcohol dependence (drinking more than 3 times per week)

Exclusion criteria

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
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

BMI (body mass index)

Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.

What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.

05

Study design

Phase
Not applicable
Primary purpose
Diagnostic
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
800 participants (estimated)

Study arms

  • Experimental
    AF Risk Group

    Participants at risk for atrial fibrillation undergo 7-day continuous ECG patch monitoring and SNP array genotyping at enrollment, followed by 1-year self-monitoring with a six-lead handheld ECG device (HATIV® P30, VUNO Inc.).

    Device: 7-day continuous ECG patch monitor · Device: Six-lead handheld electrocardiogram device · Genetic: SNP array genotyping

Interventions

  • Device7-day continuous ECG patch monitor

    Continuous ECG patch worn for 7 days at enrollment to detect atrial fibrillation and other arrhythmias.

  • DeviceSix-lead handheld electrocardiogram device

    Six-lead ECG device used for self-monitoring at least once or twice weekly and upon symptoms for 1 year.

    Also known as: HATIV® P30

  • GeneticSNP array genotyping

    DNA extracted from a 5cc blood sample is used to perform SNP array genotyping. The resulting data are used to calculate a polygenic risk score (PRS) for atrial fibrillation based on previously published genome-wide association study results.

06

What researchers measure

Primary outcomes

  1. Incidence of newly diagnosed atrial fibrillation

    New diagnosis of atrial fibrillation confirmed by 7-day continuous ECG patch monitor, six-lead handheld ECG device, or standard 12-lead ECG during the 1-year follow-up period.

    Time frame: 1 year

Secondary outcomes

  1. Incidence of newly diagnosed atrial flutter

    New diagnosis of atrial flutter confirmed by ECG monitoring during the 1-year follow-up period.

    Time frame: 1 year

  2. Predictive performance of the AF prediction model

    Discrimination and calibration of a scoring system integrating polygenic risk score and clinical risk factors for predicting atrial fibrillation, assessed by area under the receiver operating characteristic curve (AUC).

    Time frame: 1 year

07

Study locations

5 of 5 sites recruiting
08

References and documents

Publications

  • Yang L, Feng H, Ai S, Liu Y, Lei B, Chen J, Tan X, Benedict C, Wang N, Wing YK, Qi L, Zhang J. Association of accelerometer-derived circadian abnormalities and genetic risk with incidence of atrial fibrillation. NPJ Digit Med. 2023 Mar 4;6(1):31. doi: 10.1038/s41746-023-00781-3. PubMed 36869222 ↗
  • Steinhubl SR, Waalen J, Edwards AM, Ariniello LM, Mehta RR, Ebner GS, Carter C, Baca-Motes K, Felicione E, Sarich T, Topol EJ. Effect of a Home-Based Wearable Continuous ECG Monitoring Patch on Detection of Undiagnosed Atrial Fibrillation: The mSToPS Randomized Clinical Trial. JAMA. 2018 Jul 10;320(2):146-155. doi: 10.1001/jama.2018.8102. PubMed 29998336 ↗
  • Roselli C, Chaffin MD, Weng LC, Aeschbacher S, Ahlberg G, Albert CM, Almgren P, Alonso A, Anderson CD, Aragam KG, Arking DE, Barnard J, Bartz TM, Benjamin EJ, Bihlmeyer NA, Bis JC, Bloom HL, Boerwinkle E, Bottinger EB, Brody JA, Calkins H, Campbell A, Cappola TP, Carlquist J, Chasman DI, Chen LY, Chen YI, Choi EK, Choi SH, Christophersen IE, Chung MK, Cole JW, Conen D, Cook J, Crijns HJ, Cutler MJ, Damrauer SM, Daniels BR, Darbar D, Delgado G, Denny JC, Dichgans M, Dorr M, Dudink EA, Dudley SC, Esa N, Esko T, Eskola M, Fatkin D, Felix SB, Ford I, Franco OH, Geelhoed B, Grewal RP, Gudnason V, Guo X, Gupta N, Gustafsson S, Gutmann R, Hamsten A, Harris TB, Hayward C, Heckbert SR, Hernesniemi J, Hocking LJ, Hofman A, Horimoto ARVR, Huang J, Huang PL, Huffman J, Ingelsson E, Ipek EG, Ito K, Jimenez-Conde J, Johnson R, Jukema JW, Kaab S, Kahonen M, Kamatani Y, Kane JP, Kastrati A, Kathiresan S, Katschnig-Winter P, Kavousi M, Kessler T, Kietselaer BL, Kirchhof P, Kleber ME, Knight S, Krieger JE, Kubo M, Launer LJ, Laurikka J, Lehtimaki T, Leineweber K, Lemaitre RN, Li M, Lim HE, Lin HJ, Lin H, Lind L, Lindgren CM, Lokki ML, London B, Loos RJF, Low SK, Lu Y, Lyytikainen LP, Macfarlane PW, Magnusson PK, Mahajan A, Malik R, Mansur AJ, Marcus GM, Margolin L, Margulies KB, Marz W, McManus DD, Melander O, Mohanty S, Montgomery JA, Morley MP, Morris AP, Muller-Nurasyid M, Natale A, Nazarian S, Neumann B, Newton-Cheh C, Niemeijer MN, Nikus K, Nilsson P, Noordam R, Oellers H, Olesen MS, Orho-Melander M, Padmanabhan S, Pak HN, Pare G, Pedersen NL, Pera J, Pereira A, Porteous D, Psaty BM, Pulit SL, Pullinger CR, Rader DJ, Refsgaard L, Ribases M, Ridker PM, Rienstra M, Risch L, Roden DM, Rosand J, Rosenberg MA, Rost N, Rotter JI, Saba S, Sandhu RK, Schnabel RB, Schramm K, Schunkert H, Schurman C, Scott SA, Seppala I, Shaffer C, Shah S, Shalaby AA, Shim J, Shoemaker MB, Siland JE, Sinisalo J, Sinner MF, Slowik A, Smith AV, Smith BH, Smith JG, Smith JD, Smith NL, Soliman EZ, Sotoodehnia N, Stricker BH, Sun A, Sun H, Svendsen JH, Tanaka T, Tanriverdi K, Taylor KD, Teder-Laving M, Teumer A, Theriault S, Trompet S, Tucker NR, Tveit A, Uitterlinden AG, Van Der Harst P, Van Gelder IC, Van Wagoner DR, Verweij N, Vlachopoulou E, Volker U, Wang B, Weeke PE, Weijs B, Weiss R, Weiss S, Wells QS, Wiggins KL, Wong JA, Woo D, Worrall BB, Yang PS, Yao J, Yoneda ZT, Zeller T, Zeng L, Lubitz SA, Lunetta KL, Ellinor PT. Multi-ethnic genome-wide association study for atrial fibrillation. Nat Genet. 2018 Jun 11;50(9):1225-1233. doi: 10.1038/s41588-018-0133-9. PubMed 29892015 ↗
  • Weng LC, Choi SH, Klarin D, Smith JG, Loh PR, Chaffin M, Roselli C, Hulme OL, Lunetta KL, Dupuis J, Benjamin EJ, Newton-Cheh C, Kathiresan S, Ellinor PT, Lubitz SA. Heritability of Atrial Fibrillation. Circ Cardiovasc Genet. 2017 Dec;10(6):e001838. doi: 10.1161/CIRCGENETICS.117.001838. PubMed 29237688 ↗
  • US Preventive Services Task Force; Davidson KW, Barry MJ, Mangione CM, Cabana M, Caughey AB, Davis EM, Donahue KE, Doubeni CA, Epling JW Jr, Kubik M, Li L, Ogedegbe G, Pbert L, Silverstein M, Stevermer J, Tseng CW, Wong JB. Screening for Atrial Fibrillation: US Preventive Services Task Force Recommendation Statement. JAMA. 2022 Jan 25;327(4):360-367. doi: 10.1001/jama.2021.23732. PubMed 35076659 ↗

Individual participant data

Plan to share: No

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started Nov 2024 (actual). Primary completion is estimated for Dec 2026, 25 months after the start.

Of 796 non-industry interventional studies with no phase under Atrial Fibrillation, half reached primary completion within 40 months of starting (the median), counting those still running; a quarter within 21 and three quarters within 59. This study's planned 25 months is below that.

Counting every sponsor, half of 1,051 studies reached it within 33 months; a quarter within 18 and three quarters within 54.

How these figures are worked out, and which studies are left out of them.

Registered
Jun 6, 2026
First posted
Jun 11, 2026
StartActual
Nov 19, 2024
Primary completionEst.
Dec 30, 2026
CompletionEst.
Jun 30, 2027
Last update
Jun 11, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Jun 11, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07641582
Lead sponsor
Seoul St. Mary's Hospital
Responsible party
Young Choi (Associate Professor, Seoul St. Mary's Hospital) — Principal investigator
First posted
Jun 11, 2026
Start date
Nov 19, 2024
Primary completion
Dec 30, 2026 (estimated)
Completion
Jun 30, 2027 (estimated)
Last update
Jun 11, 2026

Study contacts

Young Choi, MD, PhD
Contact
superstar@catholic.ac.kr
82-2-1588-1511
Young Choi, MD, PhD
principal investigator · The Catholic University of Korea

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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