Evidence map›Paper›PMID 32324503›Full record

ReviewCirculation research2020

Polygenic Scores to Assess Atherosclerotic Cardiovascular Disease Risk: Clinical Perspectives and Basic Implications.

Krishna G Aragam, Pradeep Natarajan

Abstract readReview
In one paragraph

Review in Circulation research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 1 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

93 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Precision Cardiogenomics in Athletes.International journal of molecular sciences · 2026
    Review
  5. Article
  6. Review
  7. Review
  8. 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
  9. Article
  10. Article
  11. Article
  12. Several antiplatelet gene SNPs, their haplotypes andFrontiers in cardiovascular medicine · 2026
    Article
  13. Article
  14. Article
  15. What's the Ultimate Risk Score for CAD Patients?Journal of atherosclerosis and thrombosis · 2025
    Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Review

33 more citing papers are in PubMed but not listed here.

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

2 authors.

Krishna G AragamFrom the Cardiovascular Research Center, Massachusetts General Hospital, Boston; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA; and Department of Medicine, Harvard Medical School, Boston, MA.
Pradeep NatarajanFrom the Cardiovascular Research Center, Massachusetts General Hospital, Boston; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA; and Department of Medicine, Harvard Medical School, Boston, MA.

Funding

Clonal hematopoiesis in the Womens Health Initiative Memory StudyR01HL148565 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ALEXANDER P REINER, Eric A. Whitsel · 2019 to 2026
$5.9M
Clonal hematopoiesis in humans: determinants of development and progressionR01HL148050 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI BALLANTYNE, CHRISTIE MITCHELL, NATARAJAN, PRADEEP · 2019 to 2022
$5.9M
Whole genome sequences in individuals to comprehensively characterize the genetic mechanisms of dyslipidemiasR01HL142711 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Satoshi Koyama, Gina Marie Peloso · 2019 to 2026
$4.7M
NHLBI NIH HHS R01 HL142711NHLBI NIH HHS R01 HL148050NHLBI NIH HHS R01 HL148565
6 · The paper itself

Abstract

An individual's susceptibility to atherosclerotic cardiovascular disease is influenced by numerous clinical and lifestyle factors, motivating the multifaceted approaches currently endorsed for primary and secondary cardiovascular disease prevention. With growing knowledge of the genetic basis of atherosclerotic cardiovascular disease-in particular, coronary artery disease-and its contribution to disease pathogenesis, there is increased interest in understanding the potential clinical utility of a genetic predictor that might further refine the assessment and management of atherosclerotic cardiovascular disease risk. Rapid scientific and technological advances have enabled widespread genotyping efforts and dynamic research in the field of coronary artery disease genetic risk prediction. In this review, we describe how genomic analyses of coronary artery disease have been leveraged to create polygenic risk scores. We then discuss evaluations of the clinical utility of these scores, pertinent mechanistic insights gleaned, and practical considerations relevant to the implementation of polygenic risk scores in the health care setting.

Indexed as

Gene Expression ProfilingModels, GeneticMultifactorial InheritanceAnimalsCoronary Artery DiseaseGenetic Predisposition to DiseaseGenome-Wide Association StudyHeart Disease Risk FactorsHeredityHumansPredictive Value of TestsRisk Assessmentatherosclerosiscardiovascular diseasecoronary artery diseasegenome-wide association studygenotype

Identifiers

PMID32324503
PMCPMC7926201

What OpenQuestion holds

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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 OpenQuestion graph.