Evidence map›Paper›PMID 35743896›Full record

ReviewLife (Basel, Switzerland)2022

Etiologic Puzzle of Coronary Artery Disease: How Important Is Genetic Component?

Lăcrămioara Ionela Butnariu, Laura Florea, Minerva Codruta Badescu, Elena Țarcă, Irina-Iuliana Costache, Eusebiu Vlad Gorduza

Open access · goldAbstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. 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

6 authors at 1 institution in 1 country.

Lăcrămioara Ionela ButnariuDepartment of Medical Genetics, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iași, Romania.
Laura FloreaDepartment of Nefrology-Internal Medicine, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iași, Romania.
Minerva Codruta BadescuDepartment of Internal Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 16 University Street, 700115 Iași, Romania.ORCID 0000-0001-8942-1909
Elena ȚarcăDepartment of Surgery II-Pediatric Surgery, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iași, Romania.ORCID 0000-0002-3018-8011
Irina-Iuliana CostacheDepartment of Internal Medicine (Cardiology), "Grigore T. Popa" University of Medicine and Pharmacy, 16 University Street, 700115 Iași, Romania.
Eusebiu Vlad GorduzaDepartment of Medical Genetics, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iași, Romania.
Grigore T. Popa University of Medicine and Pharmacy · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the modern era, coronary artery disease (CAD) has become the most common form of heart disease and, due to the severity of its clinical manifestations and its acute complications, is a major cause of morbidity and mortality worldwide. The phenotypic variability of CAD is correlated with the complex etiology, multifactorial (caused by the interaction of genetic and environmental factors) but also monogenic. The purpose of this review is to present the genetic factors involved in the etiology of CAD and their relationship to the pathogenic mechanisms of the disease. Method: we analyzed data from the literature, starting with candidate gene-based association studies, then continuing with extensive association studies such as Genome-Wide Association Studies (GWAS) and Whole Exome Sequencing (WES). The results of these studies revealed that the number of genetic factors involved in CAD etiology is impressive. The identification of new genetic factors through GWASs offers new perspectives on understanding the complex pathophysiological mechanisms that determine CAD. In conclusion, deciphering the genetic architecture of CAD by extended genomic analysis (GWAS/WES) will establish new therapeutic targets and lead to the development of new treatments. The identification of individuals at high risk for CAD using polygenic risk scores (PRS) will allow early prophylactic measures and personalized therapy to improve their prognosis.

Indexed as

atherosclerosiscoronary artery diseasegenetic risk factorsGWASheritabilityischemic heart diseasepolymorphismPRS

Identifiers

PMID35743896
PMCPMC9225091
OpenAlexW4281956571

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.