Evidence map›Paper›PMID 35793981›Full record

ArticleJournal of atherosclerosis and thrombosis2023

Genetic Variants Associated with Supernormal Coronary Arteries.

Beomsu Kim, Chan Joo Lee, Hong-Hee Won, Sang-Hak Lee

Open access · diamondAbstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Treatment Target Discovery From Vasculo-Protective Phenotypes.Journal of lipid and atherosclerosis · 2026
    Review
  2. Lipid-lowering and kidney.Kidney research and clinical practice · 2023
    Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Beomsu KimSamsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center.
Chan Joo LeeDivision of Cardiology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine.
Hong-Hee WonSamsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center.
Sang-Hak LeeDivision of Cardiology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine.
Sungkyunkwan University · KRSeverance Hospital · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsGenetic and medical insights from studies on cardioprotective phenotypes aid the development of novel therapeutics. This study identified genetic variants associated with supernormal coronary arteries using genome-wide association study data and the corresponding genes based on expression quantitative trait loci (eQTL).

methodsStudy participants were selected from two Korean cohorts according to inclusion criteria that included males with high cardiovascular risk (Framingham risk score ≥ 14, 10-year risk ≥ 16%) but with normal coronary arteries (supernormal group) or coronary artery disease (control group). After screening 12,309 individuals, males meeting the supernormal phenotype (n=72) and age-matched controls (n=94) were enrolled. Genetic variants associated with the supernormal phenotype were identified using Firth's logistic regression, and eQTL was used to evaluate whether the identified variants influence the expression of particular genes in human tissues.

resultsApproximately 5 million autosomal variants were tested for association with the supernormal phenotype, and 10 independent loci suggestive of supernormal coronary arteries (p<5.0×10

conclusionsThis study identified genetic variants and eQTL genes associated with supernormal coronary arteries. These results suggest candidate genes representing potential therapeutic targets for coronary artery disease.

Indexed as

Coronary Artery DiseaseGenetic Predisposition to DiseaseGenome-Wide Association StudyGTPase-Activating ProteinsHumansMalePhenotypePolymorphism, Single NucleotideQuantitative Trait LociARHGAP19 protein, humanGTPase-Activating ProteinsCoronary angiographyCoronary artery diseaseDrug developmentGenomicsHealth

Identifiers

PMID35793981
PMCPMC10164599
OpenAlexW4284899456

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.