Lack of association between CYP1A1 T6235C polymorphism and coronary artery disease: Evidence from a meta-analysis

Zhang, Jin; Wang, Yongwei; Liu, Yuanlin; Zhang, Xiaozhong

doi:10.3892/mmr.2012.1212

Cited by 3 publications

(1 citation statement)

References 33 publications

(62 reference statements)

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“…Taspinar et al [23] also suggested that CYP1A1 genotypes were not significantly different between patients and controls. A meta- analysis [24] suggested that the CYP1A1 rs4646903 polymorphism was not correlated with CAD risk. Yeh et al [25] suggested that CYP1A1 polymorphism may be associated with the lower susceptibility to CAD, particularly in non-smokers.…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2017

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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.

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Section: Discussionmentioning

confidence: 99%

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

et al. 2017

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Blood-based multiple-microRNA assay displays a better diagnostic performance than single-microRNA assay in the diagnosis of breast tumor

Hua

Yang

et al. 2014

Tumor Biol.

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Accumulating evidence has suggested that concentrations of blood-based circulating micro-ribonucleic acids (microRNAs, miRNAs) in breast tumor patients are significantly higher/lower than that in normal individuals, indicating that circulating miRNAs may serve as novel blood-based biomarkers for breast tumor. However, the results of previous studies on this issue have been inconclusive. Therefore, we perform a meta-analysis to determine whether aberrant miRNA expression can be used as molecular markers in blood for the diagnosis of breast tumor. PubMed and other databases were searched to identify eligible studies. The sensitivity and specificity were used to plot the summary receiver operator characteristic curve and calculate the area under the curve (AUC). Finally, 15 articles with a total of 1,428 breast tumor patients and 952 healthy individuals were involved. The summary estimates revealed that the pooled sensitivity was 76 % with 95 % confidence interval (CI) of 67-83 %; the specificity was 87 % with 95 % CI of 77-93 %; the PLR was 5.9 with 95 % CI of 3.3-10.4; the NLR was 0.28 with 95 % CI of 0.20-0.39; the DOR was 21 with 95 % CI of 10-44; and the AUC was 0.88 with 95 % CI of 0.84-0.90. The most noteworthy is that multiple-miRNA assay displayed a better diagnostic performance than single-miRNA assay. In summary, the results of the present meta-analysis suggested that blood-based miRNAs may serve as novel molecular biomarkers for breast tumor, with a relative high level of accuracy, especially based on multiple-miRNA assay. Further large-scale prospective studies are necessary to validate their potential applicability for breast tumor prognosis, treatment, and surveillance.

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Impact of interaction between CYP1A1 genetic polymorphisms and smoking on coronary artery disease in the Han of China

Peng

Xie

2017

Clinical and Experimental Hypertension

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Lack of association between CYP1A1 T6235C polymorphism and coronary artery disease: Evidence from a meta-analysis

Cited by 3 publications

References 33 publications

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

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

Blood-based multiple-microRNA assay displays a better diagnostic performance than single-microRNA assay in the diagnosis of breast tumor

Impact of interaction between CYP1A1 genetic polymorphisms and smoking on coronary artery disease in the Han of China

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