SynthesisPloS one2012
Systematic testing of literature reported genetic variation associated with coronary restenosis: results of the GENDER Study.
Synthesis in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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.
Who cites it
11 citing papers in PubMed, 22 citations in OpenAlex.
- Genetic Variants in PHACTR1 & LPL Mediate Restenosis Risk in Coronary Artery Patients.Vascular health and risk management · 2023Article
- Vascular Endothelial Growth Factor Genetic Variant Is Associated with in-Stent Restenosis after Percutaneous Coronary Intervention.The journal of Tehran Heart Center · 2022Article
- Genetic risk model for in-stent restenosis of second-and third-generation drug-eluting stents.iScience · 2021Article
- Treatment of coronary in-stent restenosis: a systematic review.Journal of geriatric cardiology : JGC · 2018Review
- Association ofFrontiers in pharmacology · 2018Article
- Association between VEGF Gene Polymorphisms and In-Stent Restenosis after Coronary Intervention Treated with Bare Metal Stent.Disease markers · 2017Article
- Genetic risk factors for restenosis after percutaneous coronary intervention in Kazakh population.Human genomics · 2016Article
- Genetics of coronary artery disease and myocardial infarction.World journal of cardiology · 2016Review
- The rs1803274 polymorphism of the BCHE gene is associated with an increased risk of coronary in-stent restenosis.BMC cardiovascular disorders · 2015Article
- Article
- Pathway analysis using genome-wide association study data for coronary restenosis--a potential role for the PARVB gene.PloS one · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCoronary restenosis after percutaneous coronary intervention still remains a significant problem, despite all medical advances. Unraveling the mechanisms leading to restenosis development remains challenging. Many studies have identified genetic markers associated with restenosis, but consistent replication of the reported markers is scarce. The aim of the current study was to analyze the joined effect of previously in literature reported candidate genes for restenosis in the GENetic DEterminants of Restenosis (GENDER) databank. METHODOLOGY/PRINCIPAL
findingsCandidate genes were selected using a MEDLINE search including the terms 'genetic polymorphism' and 'coronary restenosis'. The final set included 36 genes. Subsequently, all single nucleotide polymorphisms (SNPs) in the genomic region of these genes were analyzed in GENDER using set-based analysis in PLINK. The GENDER databank contains genotypic data of 2,571,586 SNPs of 295 cases with restenosis and 571 matched controls. The set, including all 36 literature reported genes, was, indeed, significantly associated with restenosis, p = 0.024 in the GENDER study. Subsequent analyses of the individual genes demonstrated that the observed association of the complete set was determined by 6 of the 36 genes.
conclusionDespite overt inconsistencies in literature, with regard to individual candidate gene studies, this is the first study demonstrating that the joint effect of all these genes together, indeed, is associated with restenosis.
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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.