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Article

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

  • Authors:
    • Jin Zhang
    • Yongwei Wang
    • Yuanlin Liu
    • Xiaozhong Zhang
  • View Affiliations / Copyright

    Affiliations: Department of Cardiology, The Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, P.R. China, Department of Emergency, People's Liberation Army General Hospital, Beijing 100853, P.R. China, Institute of Basic Medical Sciences, Academy of Military Medical Sciences, Beijing 100850, P.R. China, Department of Cardiology, The Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, P.R. China
  • Pages: 543-548
    |
    Published online on: November 30, 2012
       https://doi.org/10.3892/mmr.2012.1212
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Abstract

A number of studies have evaluated the correlation between the cytochrome P450 1A1 (CYP1A1) T6235C polymorphism and coronary artery disease (CAD) risk, however, at present the results remain inconclusive. To provide a more robust investigation of this correlation, a meta-analysis was performed. In the present study, a systematic search of PubMed, Embase and CBM databases for studies published prior to June 6, 2012 was performed. The correlation between the CYP1A1 T6235C polymorphism and CAD risk was assessed by calculating pooled odds ratios (ORs) and 95% confidence intervals (95% CIs). Seven studies with a total of 2,903 cases and 2,304 controls were included in the meta-analysis. Overall, the CYP1A1 T6235C polymorphism was not correlated with CAD risk (C vs. T: OR=1.03; 95% CI, 0.87-1.22; P=0.728; CC vs. TT: OR=1.04; 95% CI, 0.84‑1.19; P=0.699; CC+TC vs. TT: OR=1.04; 95% CI, 0.93-1.18; P=0.478; CC vs. TC+TT: OR=1.04; 95% CI, 0.85‑1.28; P=0.704). A meta-analysis of five high-quality studies demonstrated that the CYP1A1 T6235C polymorphism is not correlated with risk of CAD in 4 genetic models. Ethnic subgroup analyses identified no significant correlation in Caucasian, Asian and African populations. The present meta-analysis study indicates that the CYP1A1 T6235C polymorphism is not correlated with CAD risk. Additional studies with a larger sample size and consistent design must be performed to confirm the present hypothesis.
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Copy and paste a formatted citation
Spandidos Publications style
Zhang J, Wang Y, Liu Y and Zhang X: Lack of association between CYP1A1 T6235C polymorphism and coronary artery disease: Evidence from a meta-analysis. Mol Med Rep 7: 543-548, 2013.
APA
Zhang, J., Wang, Y., Liu, Y., & Zhang, X. (2013). Lack of association between CYP1A1 T6235C polymorphism and coronary artery disease: Evidence from a meta-analysis. Molecular Medicine Reports, 7, 543-548. https://doi.org/10.3892/mmr.2012.1212
MLA
Zhang, J., Wang, Y., Liu, Y., Zhang, X."Lack of association between CYP1A1 T6235C polymorphism and coronary artery disease: Evidence from a meta-analysis". Molecular Medicine Reports 7.2 (2013): 543-548.
Chicago
Zhang, J., Wang, Y., Liu, Y., Zhang, X."Lack of association between CYP1A1 T6235C polymorphism and coronary artery disease: Evidence from a meta-analysis". Molecular Medicine Reports 7, no. 2 (2013): 543-548. https://doi.org/10.3892/mmr.2012.1212
Copy and paste a formatted citation
x
Spandidos Publications style
Zhang J, Wang Y, Liu Y and Zhang X: Lack of association between CYP1A1 T6235C polymorphism and coronary artery disease: Evidence from a meta-analysis. Mol Med Rep 7: 543-548, 2013.
APA
Zhang, J., Wang, Y., Liu, Y., & Zhang, X. (2013). Lack of association between CYP1A1 T6235C polymorphism and coronary artery disease: Evidence from a meta-analysis. Molecular Medicine Reports, 7, 543-548. https://doi.org/10.3892/mmr.2012.1212
MLA
Zhang, J., Wang, Y., Liu, Y., Zhang, X."Lack of association between CYP1A1 T6235C polymorphism and coronary artery disease: Evidence from a meta-analysis". Molecular Medicine Reports 7.2 (2013): 543-548.
Chicago
Zhang, J., Wang, Y., Liu, Y., Zhang, X."Lack of association between CYP1A1 T6235C polymorphism and coronary artery disease: Evidence from a meta-analysis". Molecular Medicine Reports 7, no. 2 (2013): 543-548. https://doi.org/10.3892/mmr.2012.1212
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