Abstract

BackgroundWhether glutathione S-transferase (GST) null polymorphisms, namely GSTM1 null, GSTP1 null and GSTT1 null polymorphisms, influence the risk of coronary artery disease (CAD) or not remains unclear. Thus, the authors performed a meta-analysis to more robustly estimate associations between GST null polymorphisms and the risk of CAD by integrating the results of previous publications.MethodsMedline, Embase, Wanfang, VIP and CNKI were searched comprehensively for eligible studies, and 45 genetic association studies were finally selected to be included in this meta-analysis.ResultsWe found that GSTM1 null polymorphism was significantly associated with the risk of CAD in overall population (OR = 1.37, p = 0.003) and mixed population (OR = 1.61, p = 0.004), GSTP1 null polymorphism was significantly associated with the risk of CAD in overall population (OR = 1.23, p = 0.03), whereas GSTT1 null polymorphism was significantly associated with the risk of CAD in overall population (OR = 1.23, p = 0.02), Caucasians (OR = 1.23, p = 0.02) and East Asians (OR = 1.38, p < 0.0001).ConclusionsThis meta-analysis demonstrated that GSTM1 null, GSTP1 null and GSTT1 null polymorphisms were all significantly associated with an increased risk of CAD.

Highlights

  • Whether glutathione S-transferase (GST) null polymorphisms, namely GSTM1 null, GSTP1 null and GSTT1 null polymorphisms, influence the risk of coronary artery disease (CAD) or not remains unclear

  • Nine duplicate reports as well as one hundred and four unrelated publications were omitted, and 71 publications were selected to screen for eligibility

  • The integrated analyses demonstrated that GSTP1 null polymorphism was significantly associated with the risk of Coronary artery disease (CAD) in overall population (OR = 1.23, p = 0.03)

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Summary

Results

Characteristics of included studies One hundred and eighty-four publications were retrieved by using our searching strategy. The integrated analyses demonstrated that GSTM1 null polymorphism was significantly associated with the risk of CAD in overall population (OR = 1.37, p = 0.003) and mixed population (OR = 1.61, p = 0.004) (see Table 2 and Fig. 2). The integrated analyses demonstrated that GSTP1 null polymorphism was significantly associated with the risk of CAD in overall population (OR = 1.23, p = 0.03) (see Table 2 and Fig. 2). GSTT1 null polymorphism and the risk of CAD Thirty-nine studies (17,120 cases and 38,115 controls) assessed relationship between GSTT1 null polymorphism. The integrated analyses demonstrated that GSTT1 null polymorphism was significantly associated with the risk of CAD in overall population (OR = 1.23, p = 0.02), Caucasians (OR = 1.23, p = 0.02) and East Asians (OR = 1.38, p < 0.0001) (see Table 2 and Fig. 2). Funnel plots were found to be generally symmetrical, which indicated that our integrated analyses results were not likely to be severely deteriorated by publication biases (see Fig. 3)

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