ArticleScientific reports2019
DNA methylation of antisense noncoding RNA in the INK locus (ANRIL) is associated with coronary artery disease in a Chinese population.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Long noncoding RNAs in familial hypercholesterolemia: biomarkers, therapeutics, and AI in precision medicine.Lipids in health and disease · 2025Review
- miR194 hypomethylation regulates coronary artery disease pathogenesis.BMC medical genomics · 2022Article
- In silico identification of single nucleotide variations at CpG sites regulating CpG island existence and size.Scientific reports · 2022Article
- Article
- Genetic and epigenetic associations of ANRIL with coronary artery disease and risk factors.BMC medical genomics · 2021Article
- Altered ANRIL Methylation in Epileptic Patients.Journal of molecular neuroscience : MN · 2021Article
- The Role of Long Non-coding RNAs in Sepsis-Induced Cardiac Dysfunction.Frontiers in cardiovascular medicine · 2021Review
- The correlation of serum long non-coding RNA ANRIL with risk factors, functional outcome, and prognosis in atrial fibrillation patients with ischemic stroke.Journal of clinical laboratory analysis · 2020Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To explore the association between methylation of antisense non-coding RNA in the INK4 locus (ANRIL) and coronary artery disease (CAD) development. Methylation levels of ANRIL in 100 subjects with CAD and 100 controls were quantitatively analyzed using Sequenom MassARRAY. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was used to identify novel pathways. Our analyses indicated that 7 to 8 CpG sites within the 2
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