Evidence map›Paper›PMID 35980763›Full record

ArticleEuropean heart journal2023

A polygenic risk score predicts atrial fibrillation in cardiovascular disease.

Nicholas A Marston, Amanda C Garfinkel, Frederick K Kamanu, Giorgio M Melloni, Carolina Roselli, Petr Jarolim, David D Berg, Deepak L Bhatt, Marc P Bonaca, Christopher P Cannon and 10 more

Open access · greenAbstract read
In one paragraph

Article in European heart journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
10.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 72 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Understanding the Diseased Atria.Physiology (Bethesda, Md.) · 2026
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Polygenic risk scores for cardiovascular disease: clinical utility and limitations.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2026
    Review
  11. Article
  12. Article
  13. Review
  14. Polygenic risk score translation across diverse populations.Frontiers in cardiovascular medicine · 2026
    Review
  15. Article
  16. Dynamic Increase of the CJournal of the American Heart Association · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 4 institutions in 2 countries.

Nicholas A MarstonDepartment for Medicine, TIMI Study Group, Boston, MA, USA.ORCID 0000-0001-6164-4617
Amanda C GarfinkelDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Frederick K KamanuDepartment for Medicine, TIMI Study Group, Boston, MA, USA.
Giorgio M MelloniDepartment for Medicine, TIMI Study Group, Boston, MA, USA.
Carolina RoselliCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-5267-6756
Petr JarolimDepartment of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-9612-8652
David D BergDepartment for Medicine, TIMI Study Group, Boston, MA, USA.
Deepak L BhattDivision of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Marc P BonacaDepartment for Medicine, CPC Clinical Research, Aurora, CO, USA.
Christopher P CannonDivision of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA, USA.ORCID 0000-0003-4596-2791
Robert P GiuglianoDepartment for Medicine, TIMI Study Group, Boston, MA, USA.
Michelle L O'DonoghueDepartment for Medicine, TIMI Study Group, Boston, MA, USA.
Itamar RazDepartment for Medicine, Hebrew University Hospital, Jerusalem, Israel.
Benjamin M SciricaDepartment for Medicine, TIMI Study Group, Boston, MA, USA.
Eugene BraunwaldDepartment for Medicine, TIMI Study Group, Boston, MA, USA.ORCID 0000-0002-3472-626X
David A MorrowDepartment for Medicine, TIMI Study Group, Boston, MA, USA.
Patrick T EllinorCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-2067-0533
Steven A LubitzCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-9599-4866
Marc S SabatineDepartment for Medicine, TIMI Study Group, Boston, MA, USA.
Christian T RuffDepartment for Medicine, TIMI Study Group, Boston, MA, USA.
Brigham and Women's Hospital · USBroad Institute · USHebrew University of Jerusalem · ILMeridian Clinical Research · US

Funding

Discovery and Application of Germline and Somatic Mutations for Risk Prediction and Personalized Therapy to Prevent Recurrent Myocardial InfarctionK08HL153950 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MARSTON, NICHOLAS · 2020 to 2024
$647k
NHLBI NIH HHS K08 HL153950
6 · The paper itself

Abstract

aimsInterest in targeted screening programmes for atrial fibrillation (AF) has increased, yet the role of genetics in identifying patients at highest risk of developing AF is unclear. METHODS AND

resultsA total of 36,662 subjects without prior AF were analyzed from four TIMI trials. Subjects were divided into quintiles using a validated polygenic risk score (PRS) for AF. Clinical risk for AF was calculated using the CHARGE-AF model. Kaplan-Meier event rates, adjusted hazard ratios (HRs), C-indices, and net reclassification improvement were used to determine if the addition of the PRS improved prediction compared with clinical risk and N-terminal pro-B-type natriuretic peptide (NT-proBNP). Over 2.3 years, 1018 new AF cases developed. AF PRS predicted a significant risk gradient for AF with a 40% increased risk per 1-SD increase in PRS [HR: 1.40 (1.32-1.49); P < 0.001]. Those with high AF PRS (top 20%) were more than two-fold more likely to develop AF [HR 2.45 (1.99-3.03), P < 0.001] compared with low PRS (bottom 20%). Furthermore, PRS provided an additional gradient of risk stratification on top of the CHARGE-AF clinical risk score, ranging from a 3-year incidence of 1.3% in patients with low clinical and genetic risk to 8.7% in patients with high clinical and genetic risk. The subgroup of patients with high clinical risk, high PRS, and elevated NT-proBNP had an AF risk of 16.7% over 3 years. The C-index with the CHARGE-AF clinical risk score alone was 0.65, which improved to 0.67 (P < 0.001) with the addition of NT-proBNP, and increased further to 0.70 (P < 0.001) with the addition of the PRS.

conclusionIn patients with cardiovascular conditions, AF PRS is a strong independent predictor of incident AF that provides complementary predictive value when added to a validated clinical risk score and NT-proBNP.

Indexed as

Atrial FibrillationCardiovascular DiseasesBiomarkersHumansNatriuretic Peptide, BrainPeptide FragmentsPrognosisRisk FactorsBiomarkersNatriuretic Peptide, BrainPeptide FragmentsAtrial fibrillationGeneticsNatriuretic peptidesPolygenic risk scoreRisk prediction

Identifiers

PMID35980763
PMCPMC10310983
OpenAlexW4292249170

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.