Evidence mapPaperPMID 28415751Full record

ArticleOncotarget2017

Gene-gene interaction between PPARG and CYP1A1 gene on coronary artery disease in the Chinese Han Population.

Xiaojiang Zhang, Shuzheng Lv, Chengjun Guo, Conghong Shi, Yunpeng Chi, Lin Zhao, Guozhong Wang, Zhisheng Wang

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Association of theMolecular biology research communications · 2021
    Article
  7. Article
  8. Review
  9. Oncotarget · 2017
    Article
  10. 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

8 authors at 2 institutions in 1 country.

Xiaojiang ZhangDepartment of Cardiology, Beijing Anzhen Hospital, Capital University of Medical Sciences, Beijing 100029, China.
Shuzheng LvDepartment of Cardiology, Beijing Anzhen Hospital, Capital University of Medical Sciences, Beijing 100029, China.
Chengjun GuoDepartment of Cardiology, Beijing Anzhen Hospital, Capital University of Medical Sciences, Beijing 100029, China.
Conghong ShiBaotou Fourth Hospital, Baotou, Inner Mongolia, 014030, China.
Yunpeng ChiDepartment of Cardiology, Beijing Anzhen Hospital, Capital University of Medical Sciences, Beijing 100029, China.
Lin ZhaoDepartment of Cardiology, Beijing Anzhen Hospital, Capital University of Medical Sciences, Beijing 100029, China.
Guozhong WangDepartment of Cardiology, Beijing Anzhen Hospital, Capital University of Medical Sciences, Beijing 100029, China.
Zhisheng WangDepartment of Cardiology, Beijing Anzhen Hospital, Capital University of Medical Sciences, Beijing 100029, China.
Beijing Anzhen Hospital · CNFourth Hospital of Inner Mongolia · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo observe the influence of the peroxisome proliferator-activator receptor-G (PPAR-G) gene and cytochrome P4501A1 (CYP1A1) single-nucleotide polymorphisms (SNPs), and interactions among several SNPs on coronary artery disease (CAD) risk.

methodsA total of 1106 participants (including 583 males and 523 females) including 550 CAD patients and 556 control subjects were recruited in this study, and the mean age for these participants was 55.5 ± 11.8 years old. Logistic regression was used to observe association of SNP within PPARG and CYP1A1 with CAD risk and GMDR model was used to screen the best interaction combinations.

resultsCAD susceptibility was higher in those with homozygous mutant of rs10865710, rs1805192 and rs4646903 than those with wild-type homozygotes, OR (95%CI) were 1.47 (1.15-1.92), 1.69 (1.27-2.09) and 1.72 (1.35-2.32), respectively. We also found a significant two-locus model involving rs1805192 and rs4646903 (p = 0.0107), and the cross-validation consistency of this locus model was 10 of 10, the testing accuracy of this model is 62.17%. Logistic regression shown that CAD risk was the highest in those with rs1805192- Pro/Ala or Ala/Ala and rs4646903- AG+GG genotype, and was lowest in those with rs1805192- Pro/ Pro and rs4646903- AA genotype, OR(95%CI) = 3.56 (1.91-5.42).

conclusionsPolymorphism in rs10865710, rs1805192 and rs4646903 and interaction between rs1805192 and rs4646903 were related with increased CAD susceptibility.

Indexed as

Polymorphism, Single NucleotideAdultAgedAsian PeopleChinaCoronary Artery DiseaseCytochrome P-450 CYP1A1Epistasis, GeneticFemaleGenetic Predisposition to DiseaseHumansLogistic ModelsMaleMiddle AgedPPAR gammaCYP1A1 protein, humanCytochrome P-450 CYP1A1PPAR gammacoronary artery diseaseCYP4A11interactionPPAR GSNP

Identifiers

PMID28415751
PMCPMC5470977
OpenAlexW2599512393

What Socratic holds

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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 Socratic graph.