ArticleAging2019
Integrated DNA methylation and gene expression analysis in the pathogenesis of coronary artery disease.
Article in Aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled 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.
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
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.
- DNA methylation and cardiovascular disease in humans: a systematic review and database of known CpG methylation sites.Clinical epigenetics · 2023Pooled it
- Exploring the predictive values of ABSI and BRI in premature coronary artery disease based on a real world study.Scientific reports · 2025Article
- The Genetic Risk Score with Variants in PDGFs and PDGFRB for the Risk of Major Cardiovascular Adverse Events in Patients with Coronary Artery Disease.Journal of atherosclerosis and thrombosis · 2025Article
- Colorectal Cancer Biomarker Identification via Joint DNA-Methylation and Transcriptomics Analysis Workflow.Genes · 2025Article
- Associations of genetic variation and mRNA expression of PDGF/PDGFRB pathway genes with coronary artery disease in the Chinese population.Journal of cellular and molecular medicine · 2024Article
- Dissecting the epigenomic differences between smoking and nicotine dependence in a veteran cohort.Addiction biology · 2023Article
- Large-scale integration of DNA methylation and gene expression array platforms identifies bothEpigenetics · 2022Article
- DNA Methylation: A Promising Approach in Management of Alzheimer's Disease and Other Neurodegenerative Disorders.Biology · 2022Review
- Review
- Identification of Biomarkers of Autophagy-Related Genes Between Early and Advanced Carotid Atherosclerosis.International journal of general medicine · 2022Article
- Analyzing Corin-BNP-NEP Protein Pathway Revealing Differential Mechanisms in AF-Related Ischemic Stroke and No AF-Related Ischemic Stroke.Frontiers in aging neuroscience · 2022Article
- Identification and Validation of Dilated Cardiomyopathy-Related Genes via Bioinformatics Analysis.International journal of general medicine · 2022Article
- Heart Failure in Breast Cancer Survivors: Focus on Early Detection and Novel Biomarkers.Current heart failure reports · 2021Review
- Identification of MYH6 as the potential gene for human ischaemic cardiomyopathy.Journal of cellular and molecular medicine · 2021Article
- Comprehensive Analysis of mRNA Expression Profiling and Identification of Potential Diagnostic Biomarkers in Coronary Artery Disease.ACS omega · 2021Article
- Influence of Maternal Lifestyle and Diet on Perinatal DNA Methylation Signatures Associated With Childhood Arterial Stiffness at 8 to 9 Years.Hypertension (Dallas, Tex. : 1979) · 2021Article
- Whole-Genome Differentially Hydroxymethylated DNA Regions among Twins Discordant for Cardiovascular Death.Genes · 2021Article
- ITGB1 Drives Hepatocellular Carcinoma Progression by Modulating Cell Cycle Process Through PXN/YWHAZ/AKT Pathways.Frontiers in cell and developmental biology · 2021Article
- Classifiers for Predicting Coronary Artery Disease Based on Gene Expression Profiles in Peripheral Blood Mononuclear Cells.International journal of general medicine · 2021Article
- Integrated DNA Methylation and Gene Expression Analysis Identified S100A8 and S100A9 in the Pathogenesis of Obesity.Frontiers in cardiovascular medicine · 2021Article
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 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To evaluate DNA methylation sites and gene expression associated with coronary artery disease (CAD) and the possible pathological mechanism involved, we performed (1) genome-wide DNA methylation and mRNA expression profiling in peripheral blood datasets from the Gene Expression Omnibus repository of CAD samples and controls; (2) functional enrichment analysis and differential methylation gene regulatory network construction; (3) validation tests of 11 differential methylation positions of interest and the corresponding gene expression; and (4) correlation analysis for DNA methylation and mRNA expression data. A total of 669 differentially expressed mRNAs were matched to differentially methylated genes. After disease ontology, Kyoto Encyclopedia of Genes and Genomes pathway, gene ontology, protein-protein interaction and network construction and module analyses, 11 differentially methylated positions (DMPs) corresponding to 11 unique genes were observed:
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.