Evidence map›Paper›PMID 34368511›Full record

ReviewJACC. Basic to translational science2021

Coronary Artery Disease Genetics Enlightened by Genome-Wide Association Studies.

Thorsten Kessler, Heribert Schunkert

Open access · goldAbstract readReview
In one paragraph

Review in JACC. Basic to translational science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
14.4field-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

59 citing papers in PubMed, 1 synthesis or guideline pooled it, 103 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Journal of clinical medicine · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. Identification of novel and known variants inFrontiers in cardiovascular medicine · 2026
    Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. NAD Metabolism Regulates Proliferation of Macrophages in Atherosclerosis.Arteriosclerosis, thrombosis, and vascular biology · 2025
    Article
  17. Article
  18. Review
  19. Article
  20. 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

2 authors at 2 institutions in 1 country.

Thorsten KesslerGerman Heart Centre Munich, Department of Cardiology, Technical University of Munich, Munich, Germany.
Heribert SchunkertGerman Heart Centre Munich, Department of Cardiology, Technical University of Munich, Munich, Germany.
Deutsches Herzzentrum München · DEGerman Centre for Cardiovascular Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many cardiovascular diseases are facilitated by strong inheritance. For example, large-scale genetic studies identified hundreds of genomic loci that affect the risk of coronary artery disease. At each of these loci, common variants are associated with disease risk with robust statistical evidence but individually small effect sizes. Only a minority of candidate genes found at these loci are involved in the pathophysiology of traditional risk factors, but experimental research is making progress in identifying novel, and, in part, unexpected mechanisms. Targets identified by genome-wide association studies have already led to the development of novel treatments, specifically in lipid metabolism. This review summarizes recent genetic and experimental findings in this field. In addition, the development and possible clinical usefulness of polygenic risk scores in risk prediction and individualization of treatment, particularly in lipid metabolism, are discussed.

Indexed as

CAD, coronary artery diseasecardiovascular diseasescoronary artery diseaseCXCL1, chemokine (C-X-C motif) ligand 1genome-wide association studiesGWAS, genome-wide association studyLDLR, low-density lipoprotein receptorlncRNA, long non-coding RNALPL, lipoprotein lipaseMI, myocardial infarctionPCSK9, proprotein convertase subtilisin/kexin type 9polygenic risk scoresprecision medicine

Identifiers

PMID34368511
PMCPMC8326228
OpenAlexW3184293131

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.