Evidence map›Paper›PMID 32257424›Full record

ArticleInternational journal of hypertension2020

Association between Single Nucleotide Polymorphisms in Cardiovascular Developmental Critical Genes and Hypertension: A Propensity Score Matching Analysis.

Zhiqiang Zhao, Chunmei Gong, Yanfang Gao, Xiaoli Liu, Sai Wu, Heping Zhao, Xiaohui Wang, Huaixiang Liu, Chen Xiao, Jieyi Liu and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of hypertension, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. VEGF-A related SNPs: a cardiovascular context.Frontiers in cardiovascular medicine · 2023
    Review
  5. 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

12 authors at 4 institutions in 2 countries.

Zhiqiang ZhaoDepartment of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Chunmei GongLabortory Research Institution, Shenzhen Center for Chronic Disease Control, Shenzhen 518020, China.
Yanfang GaoKey Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou 341000, China.
Xiaoli LiuLabortory Research Institution, Shenzhen Center for Chronic Disease Control, Shenzhen 518020, China.
Sai WuDepartment of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Heping ZhaoDepartment of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Xiaohui WangDepartment of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Huaixiang LiuDepartment of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Chen XiaoDepartment of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Jieyi LiuDepartment of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Jiong LiDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus 8200, Denmark.
Yun HeDepartment of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.ORCID https://orcid.org/0000-0001-7263-3243
Sun Yat-sen University · CNShenzhen Nanshan Center for Chronic Disease Control · CNAarhus University Hospital · DKGannan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular development critical genes are key determinants in cardiovascular diseases. We hypothesize that SNPs in these genes may play critical roles in the development of hypertension. Therefore, we enrolled 516 paired hypertension patients and controls in a total of 2,742 subjects in a cross-sectional population study by the propensity score matching (PSM) method. Twenty-one SNPs from 5 cardiovascular developmental related genes were detected by the improved multiplex ligase detection reaction (iMLDR) method. Conditioned logistic regression under three different genetic models, namely, additive model, dominant model, and recessive model, was performed. The odds ratio (ORs) and 95% confidence intervals (95% CIs) were used to estimate the associations of SNPs with hypertension. We found that the distribution of genotypes at rs833061, rs3025010, and rs699947 within the VEGFA gene and the distribution of alleles at rs3025010 in hypertension subjects were different from those in controls. Both rs833061 and rs3025010 were associated with hypertension in crude models, but only rs3025010 remains associated with hypertension after adjusting with confounding factors in the additive model and the dominant model. We also found that hypertension subjects with C/T and C/C genotypes at rs3025010 had lower SBP and DBP levels. In addition, rs3025010 could interact with rs6784267 within the CCM3 gene in the association. In conclusion, our findings suggest that rs3025010 may play a role in the pathogenesis of hypertension, which may be a potential target for individualized prevention and treatment of hypertension.

Identifiers

PMID32257424
PMCPMC7106934
OpenAlexW3010660971

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.