Evidence map›Paper›PMID 39906985›Full record

ArticleEuropean heart journal2025

Clinical utility and implementation of polygenic risk scores for predicting cardiovascular disease: A clinical consensus statement of the ESC Council on Cardiovascular Genomics, the ESC Cardiovascular Risk Collaboration, and the European Association of Preventive Cardiology

Heribert Schunkert, Emanuele Di Angelantonio, Michael Inouye, Riyaz S Patel, Samuli Ripatti, Elisabeth Widen, Saskia C Sanderson, Juan Pablo Kaski, John W McEvoy, Panos Vardas and 7 more

Abstract readConsensus Statement
In one paragraph

Article in European heart journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
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  7. Article
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  10. Review
  11. Clinical utility of polygenic risk scores in cardiovascular disorders.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
    Article
  12. Polygenic risk scores in neurological disorders: restless legs syndrome as a translational model.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
    Article
  13. Inflammatory Stewardship-A Perspective for Active Management of Acute Inflammation.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  14. Review
  15. Review
  16. Article
  17. Review
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  19. Article
  20. Genetic factors contributing to atherosclerosis.Current opinion in cardiology · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Heribert SchunkertDepartment of Cardiology, Deutsches Herzzentrum München, Universitätsklinikum der Technischen Universität München, 80636 Munich, Lazarettstrasse 36, Germany.ORCID 0000-0001-6428-3001
Emanuele Di AngelantonioBHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID 0000-0001-8776-6719
Michael InouyeBHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Riyaz S PatelInstitute of Cardiovascular Sciences, University College London, London, UK.ORCID 0000-0003-4603-2393
Samuli RipattiInstitute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Finland.
Elisabeth WidenInstitute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland.
Saskia C SandersonPublic Health Genomics (PHG) Foundation, Cambridge, UK.
Juan Pablo KaskiCentre for Paediatric Inherited and Rare Cardiovascular Disease, UCL Institute of Cardiovascular Science, London, and Centre for Inherited Cardiovascular Diseases, Great Ormond Street Hospital, London, UK.ORCID 0000-0002-0014-9927
John W McEvoyNational Institute for Prevention and Cardiovascular Health, University of Galway School of Medicine, Galway, Ireland.
Panos VardasUniversity of Crete, Greece.
Angela WoodBHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID 0000-0002-7937-304X
Victor AboyansInserm U1094, IRD U270, Univ. Limoges, CHU Limoges, EpiMaCT-Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France.ORCID 0000-0002-0322-9818
Vassilios S VassiliouDepartment of Cardiology, Norwich Medical School, University of East Anglia and Norfolk and Norwich University Hospital, Norwich, UK.ORCID 0000-0002-4005-7752
Frank L J VisserenDepartment of Vascular Medicine, University Medical Centre Utrecht, The Netherlands.
Luis R LopesInstitute of Cardiovascular Sciences, University College London, London, UK.
Perry ElliottInstitute of Cardiovascular Sciences, University College London, London, UK.
Maryam KavousiDepartment of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0001-5976-6519

Funding

British Heart FoundationCambridge BHF Centre of Research ExcellenceChief Scientist Office of the Scottish Government Health and Social Care DirectoratesDepartment of Health and Social Care (England)Economic and Social Research CouncilHealth and Social Care Research and Development DivisionNIHR Cambridge Biomedical Research CentrePublic Health Agency (Northern Ireland)UK Medical Research Council, Engineering and Physical Sciences Research CouncilWellcomeWellcome Trust
6 · The paper itself

Abstract

Genome-wide association studies have revealed hundreds of genetic variants associated with cardiovascular diseases (CVD). Polygenic risk scores (PRS) can capture this information in a single metric and hold promise for use in CVD risk prediction. Importantly, PRS information can reflect the causally mediated risk to which the individual is exposed throughout life. Although European Society of Cardiology guidelines do not currently advocate their use in routine clinical practice, PRS are commercially available and increasingly sought by clinicians, health systems, and members of the public to inform personalized health care decision-making. This clinical consensus statement provides an overview of the scientific basis of PRS and evidence to date on their role in CVD risk prediction for the purposes of disease prevention. It provides the reader with a summary of the opportunities and challenges for implementation and identifies current gaps in supporting evidence. The document also lays out a potential roadmap by which the scientific and clinical community can navigate any future transition of PRS into routine clinical care. Finally, clinical scenarios are presented where information from PRS may hold most value and discuss organizational frameworks to enable responsible use of PRS testing while more evidence is being generated by clinical studies.

Indexed as

Cardiovascular DiseasesMultifactorial InheritanceGenetic Predisposition to DiseaseGenetic Risk ScoreGenome-Wide Association StudyHumansRisk AssessmentRisk FactorsGeneticsPolygenic risk scoreRisk prediction

Identifiers

PMID39906985
PMCPMC11997548

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.