Evidence map›Paper›PMID 25084356›Full record

ArticlePloS one2014

A preliminary study of the relationship between promoter methylation of the ABCG1, GALNT2 and HMGCR genes and coronary heart disease.

Ping Peng, Lu Wang, Xi Yang, Xiaoyan Huang, Yanna Ba, Xiaoliang Chen, Jian Guo, Jiangfang Lian, Jianqing Zhou

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 5 pooled it
2.1field-weighted citation impact, top 13% 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

39 citing papers in PubMed, 5 syntheses or guidelines pooled it, 74 citations in OpenAlex.

  1. Accelerated epigenetic age in hypertension: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Pooled it
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  6. Article
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  10. Apo CIII Proteoforms, Plasma Lipids, and Cardiovascular Risk in MESA.Arteriosclerosis, thrombosis, and vascular biology · 2023
    Observational
  11. Article
  12. Article
  13. Article
  14. Effects of DNA methylation on cardiometabolic risk factors: a systematic review and meta-analysis.Archives of public health = Archives belges de sante publique · 2022
    Review
  15. Article
  16. Review
  17. DNA Methylation Aberrant in Atherosclerosis.Frontiers in pharmacology · 2022
    Review
  18. Frontiers in genetics · 2022
    Article
  19. Genomic Variants and Multilevel Regulation ofJournal of cardiovascular development and disease · 2021
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Ping PengNingbo Medical Center, Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China; The Affiliated Hospital, School of Medicine, Ningbo University, Ningbo, Zhejiang, China.
Lu WangSchool of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Xi YangNingbo Medical Center, Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China.
Xiaoyan HuangNingbo Medical Center, Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China.
Yanna BaNingbo Medical Center, Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China; The Affiliated Hospital, School of Medicine, Ningbo University, Ningbo, Zhejiang, China.
Xiaoliang ChenNingbo Medical Center, Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China; The Affiliated Hospital, School of Medicine, Ningbo University, Ningbo, Zhejiang, China.
Jian GuoNingbo Medical Center, Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China; The Affiliated Hospital, School of Medicine, Ningbo University, Ningbo, Zhejiang, China.
Jiangfang LianNingbo Medical Center, Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China.
Jianqing ZhouNingbo Medical Center, Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China.
Ningbo Medical Center Lihuili Hospital · CNNingbo University · CNUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo investigate the association of ABCG1, GALNT2 and HMGCR genes promoter DNA methylation with coronary heart disease (CHD) and explore the interaction between their methylation status and the CHD patients' clinical characteristics in Han Chinese population. METHODS AND

resultsMethylation-specific polymerase chain reaction (MSP) technology was used to examine the role of the aberrant gene promoter methylation in CHD in Han Chinese population. A total of 85 CHD patients and 54 participants without CHD confirmed by angiography were recruited. 82.8% of the participants with ABCG1 gene promoter hypermethylation have CHD, while only 17.4% of the participants without hypermethylation have it. The average age of the participants with GALNT2 gene promoter hypermethylation is 62.10 ± 8.21, while that of the participants without hypermethylation is 57.28 ± 9.87; in the former group, 75.4% of the participants have CHD, compared to only 50% in the latter group. As for the HMGCR gene, the average age of the participants with promoter hypermethylation is 63.24 ± 8.10 and that of the participants without hypermethylation is 57.79 ± 9.55; its promoter hypermethylation is likely to be related to smoking. Our results indicated a significant statistical association of promoter methylation of the ABCG1 gene with increased risk of CHD (OR = 19.966; 95% CI, 7.319-54.468; P*<0.001; P*: adjusted for age, gender, smoking, lipid level, hypertension, and diabetes). Similar results were obtained for that of the GALNT2 gene (OR = 2.978; 95% CI, 1.335-6.646; P* = 0.008), but not of HMGCR gene (OR = 1.388; 95% CI, 0.572-3.371; P*  = 0.469).

conclusionsThe present work provides evidence to support the association of promoter DNA methylation status with the risk profile of CHD. Our data indicates that promoter DNA hypermethylation of the ABCG1 and GALNT2 genes, but not the HMGCR gene, is associated with an increased risk of CHD. CHD, smoking and aging are likely to be the important factors influencing DNA hypermethylation.

Indexed as

DNA MethylationPromoter Regions, GeneticAgedATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily G, Member 1BiomarkersCoronary DiseaseFemaleHumansHydroxymethylglutaryl CoA ReductasesMaleMiddle AgedN-AcetylgalactosaminyltransferasesPolypeptide N-acetylgalactosaminyltransferaseRiskABCG1 protein, humanATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily G, Member 1BiomarkersHMGCR protein, humanHydroxymethylglutaryl CoA ReductasesN-AcetylgalactosaminyltransferasesPolypeptide N-acetylgalactosaminyltransferase

Identifiers

PMID25084356
PMCPMC4118847
OpenAlexW2041375863

What OpenQuestion holds

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LicenceCC BY
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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.