Evidence map›Paper›PMID 27391264›Full record

ArticleOncotarget2016

Association of genetic variations in the Wnt signaling pathway genes with myocardial infarction susceptibility in Chinese Han population.

Jing Tao, Yong-Tao Wang, Mayila Abudoukelimu, Yi-Ning Yang, Xiao-Mei Li, Xiang Xie, Bang-Dang Chen, Fen Liu, Chun-Hui He, Hua-Yin Li and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. WNT Signaling in Cardiac and Vascular Disease.Pharmacological reviews · 2018
    Review
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  8. 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

11 authors at 3 institutions in 1 country.

Jing TaoDepartment of Cardiology, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Yong-Tao WangDepartment of Cardiology, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Mayila AbudoukelimuDepartment of Cardiology, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Yi-Ning YangDepartment of Cardiology, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Xiao-Mei LiDepartment of Cardiology, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Xiang XieDepartment of Cardiology, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Bang-Dang ChenXinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi, Xinjiang, China.
Fen LiuXinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi, Xinjiang, China.
Chun-Hui HeDepartment of Cardiology, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Hua-Yin LiDepartment of Cardiology, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Yi-Tong MaDepartment of Cardiology, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
First Affiliated Hospital of Xinjiang Medical University · CNXinjiang Medical University · CNXinjiang Uygur Autonomous Region Disease Prevention and Control Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous studies have implicated the Wnt pathway in the development and progression of myocardial infarction (MI); however, there are very few investigations addressing the effects of polymorphisms in the Wnt pathway genes on MI susceptibility. We investigated the possible correlation between genetic variations in Wnt pathway genes and MI risk. Three polymorphisms (rs7832767 C > T in SFRP1 gene, rs2293303 C > T in CTNNB1 gene, rs16893344 C > T in WISP1 gene) were finally selected and genotyped in 465 MI patients and 485 healthy controls, using the PCR-RFLP method. We found that the SFRP1 rs7832767 variant allele (T) was associated with a significantly increased risk of MI [TT vs. CC: adjusted odds ratio (AOR) = 3.13, 95% CI = 1.78-5.51; CT/TT vs. CC: AOR = 1.53, 95% CI = 1.12-2.08; TT vs. CC/CT: AOR = 2.87, 95% CI = 1.66-4.97)]. The significant association with MI risk was also found for the CTNNB1 rs2293303 (CT vs. CC: AOR = 3.48, 95% CI = 2.28-5.33; TT vs. CC: AOR = 7.37, 95% CI = 2.08-26.16; CT/TT vs. CC: AOR = 3.72, 95% CI = 2.46-5.62; TT vs. CC/CT: AOR = 5.52, 95% CI = 1.58-19.28), and WISP1 rs16893344 polymorphisms (CT vs. CC: AOR = 2.43, 95% CI = 1.70-3.47; TT vs. CC: AOR = 5.17, 95% CI = 1.85-14.41; CT/TT vs. CC: AOR = 2.58, 95% CI = 1.83-3.66; TT vs. CC/CT: AOR = 3.88, 95% CI = 1.41-10.64). The associations remain significant in stratified analysis by demographic and clinical characteristics of participants, with few exceptions. Our study provided the first evidence of the association between polymorphisms in the Wnt pathway genes and MI susceptibility in Chinese Han population. Epidemiological studies with larger samples and functional analyses are warranted to further verify our results.

Indexed as

Polymorphism, Single NucleotideAdultAgedAged, 80 and overAsian Peoplebeta CateninCCN Intercellular Signaling ProteinsChinaFemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansIntercellular Signaling Peptides and ProteinsLogistic ModelsMalebeta CateninCCN4 protein, humanCCN Intercellular Signaling ProteinsCTNNB1 protein, humanIntercellular Signaling Peptides and ProteinsMembrane ProteinsProto-Oncogene ProteinsSecreted Frizzled-Related ProteinsSFRP1 protein, humanmyocardial infarctionPathology SectionpolymorphismsusceptibilityWnt signaling pathway

Identifiers

PMID27391264
PMCPMC5288145
OpenAlexW2471452809

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.