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DNA methylation and cardiovascular disease in humans: a systematic review and database of known CpG methylation sites

Overview of attention for article published in Clinical Epigenetics, March 2023
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  • High Attention Score compared to outputs of the same age and source (81st percentile)

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39 Mendeley
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Title
DNA methylation and cardiovascular disease in humans: a systematic review and database of known CpG methylation sites
Published in
Clinical Epigenetics, March 2023
DOI 10.1186/s13148-023-01468-y
Pubmed ID
Authors

Mykhailo Krolevets, Vincent ten Cate, Jürgen H. Prochaska, Andreas Schulz, Steffen Rapp, Stefan Tenzer, Miguel A. Andrade-Navarro, Steve Horvath, Christof Niehrs, Philipp S. Wild

Abstract

Cardiovascular disease (CVD) is the leading cause of death worldwide and considered one of the most environmentally driven diseases. The role of DNA methylation in response to the individual exposure for the development and progression of CVD is still poorly understood and a synthesis of the evidence is lacking. A systematic review of articles examining measurements of DNA cytosine methylation in CVD was conducted in accordance with PRISMA (preferred reporting items for systematic reviews and meta-analyses) guidelines. The search yielded 5,563 articles from PubMed and CENTRAL databases. From 99 studies with a total of 87,827 individuals eligible for analysis, a database was created combining all CpG-, gene- and study-related information. It contains 74,580 unique CpG sites, of which 1452 CpG sites were mentioned in ≥ 2, and 441 CpG sites in ≥ 3 publications. Two sites were referenced in ≥ 6 publications: cg01656216 (near ZNF438) related to vascular disease and epigenetic age, and cg03636183 (near F2RL3) related to coronary heart disease, myocardial infarction, smoking and air pollution. Of 19,127 mapped genes, 5,807 were reported in ≥ 2 studies. Most frequently reported were TEAD1 (TEA Domain Transcription Factor 1) and PTPRN2 (Protein Tyrosine Phosphatase Receptor Type N2) in association with outcomes ranging from vascular to cardiac disease. Gene set enrichment analysis of 4,532 overlapping genes revealed enrichment for Gene Ontology molecular function "DNA-binding transcription activator activity" (q = 1.65 × 10-11) and biological processes "skeletal system development" (q = 1.89 × 10-23). Gene enrichment demonstrated that general CVD-related terms are shared, while "heart" and "vasculature" specific genes have more disease-specific terms as PR interval for "heart" or platelet distribution width for "vasculature." STRING analysis revealed significant protein-protein interactions between the products of the differentially methylated genes (p = 0.003) suggesting that dysregulation of the protein interaction network could contribute to CVD. Overlaps with curated gene sets from the Molecular Signatures Database showed enrichment of genes in hemostasis (p = 2.9 × 10-6) and atherosclerosis (p = 4.9 × 10-4). This review highlights the current state of knowledge on significant relationship between DNA methylation and CVD in humans. An open-access database has been compiled of reported CpG methylation sites, genes and pathways that may play an important role in this relationship.

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The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Student > Bachelor 5 13%
Other 4 10%
Student > Master 2 5%
Researcher 2 5%
Other 5 13%
Unknown 13 33%
Readers by discipline Count As %
Medicine and Dentistry 8 21%
Biochemistry, Genetics and Molecular Biology 8 21%
Environmental Science 1 3%
Mathematics 1 3%
Veterinary Science and Veterinary Medicine 1 3%
Other 4 10%
Unknown 16 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 June 2023.
All research outputs
#6,578,681
of 25,394,764 outputs
Outputs from Clinical Epigenetics
#449
of 1,437 outputs
Outputs of similar age
#114,731
of 421,839 outputs
Outputs of similar age from Clinical Epigenetics
#10
of 55 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,437 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 421,839 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.