Evidence map›Paper›PMID 33156471›Full record

ReviewCardiovascular drugs and therapy2021

Polygenic Risk Score: Clinically Useful Tool for Prediction of Cardiovascular Disease and Benefit from Lipid-Lowering Therapy?

Natalie Arnold, Wolfgang Koenig

Erratum issuedAbstract readReview
In one paragraph

Review in Cardiovascular drugs and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Cumulative Genetic Score andNeurology. Genetics · 2023
    Article
  11. Review
  12. Article
  13. Article
  14. Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2021
    Article
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Natalie ArnoldDepartment of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany.
Wolfgang KoenigDeutsches Herzzentrum München, Technische Universität München, Lazarettstr. 36, 80636, Munich, Germany. koenig@dhm.mhn.de.ORCID http://orcid.org/0000-0002-2064-9603

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improvement in risk prediction of atherosclerotic cardiovascular disease (ASCVD) using information on the genetic predisposition at an individual level might offer new possibilities for the successful management of such complex trait. Latest developments in genetic research with the conduction of genome-wide association studies have facilitated a broader utility of polygenic risk score (PRS) as a potent risk prognosticator, being strongly associated with future cardiovascular events. Although its discriminative ability beyond traditional risk factors is still a matter of controversy, PRS possesses at least comparable risk information to that provided by traditional risk tools. More importantly, increased genetic risk for ASCVD might be discovered at younger ages, much longer before conventional risk factors become manifest, thereby providing a potent instrument for aggressive primordial and primary prevention in those at high risk. Furthermore, there is strong evidence that inherited risk may be successfully modulated by a healthy lifestyle or medication use (e.g., statins or PCSK-9 inhibitors). Here, we provide a short overview of the current research related to the possible application of PRS in clinical routine and critically discuss existing pitfalls, which still limit a widespread utility of PRS outside a research setting.

Indexed as

AtherosclerosisBiomarkersCardiovascular DiseasesGenetic Predisposition to DiseaseGenome-Wide Association StudyHealthy LifestyleHumansHypolipidemic AgentsMultifactorial InheritancePolymorphism, Single NucleotidePrecision MedicineRisk AssessmentRisk FactorsBiomarkersHypolipidemic AgentsCardiovascular diseaseGenetic risk scoresPrecision medicinePredictionResponse to treatment

Identifiers

PMID33156471
PMCPMC8481165

What OpenQuestion holds

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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.