Chong Meng1, Juan Wang2, Wei-Ning Ge3, Shao-Can Tang4, Guang-Ming Xu5. 1. Urgent Care Center, Shandong Provincial Hospital Affiliated to Shandong University Jinan 250021, Shandong, China. 2. Department of Respiratory Healthcare Medicine, Shandong Provincial Hospital Affiliated to Shandong University Jinan 250021, Shandong Province, China. 3. Department of General Surgery, Qingdao Eighth People's Hospital Qingdao 266100, Shandong, China. 4. Department of Rehabilitation Medicine, Shandong Provincial Hospital Affiliated to Shandong University Jinan 250021, Shandong Province, China. 5. Department of Neurosurgery, Shandong Provincial Hospital Affiliated to Shandong University Jinan 250021, Shandong Province, China.
Abstract
OBJECTIVE: To conduct a meta-analysis for the correlation between cytochrome P450 4F2 (CYP4F2) rs2108622 (V433M) gene polymorphism and ischemic stroke. METHODS: We retrieved the case-control studies on the correlation between CYP4F2 V433M polymorphism and ischemic stroke included in domestic and international databases before January 2015 and selected the best genetic model, using RevMan 5.2 software for meta-analysis. According to the heterogeneity test results of selected literature, the effect model of consolidated data was selected, and the combined OR and 95% CI were calculated. RESULTS: A total of six documents were included. Recessive model (VM + MM vs. VV) was selected as the best genetic model. The combined results showed that: compared with wild-type VV, there are significant association between ischemic stroke and CYP4F2 polymorphism (OR merge = 1.37, 95% CI: 1.21~1.54, P < 0.001). CONCLUSION: CYP4F2 V433M may be the susceptibility gene for ischemic stroke.
OBJECTIVE: To conduct a meta-analysis for the correlation between cytochrome P450 4F2 (CYP4F2) rs2108622 (V433M) gene polymorphism and ischemic stroke. METHODS: We retrieved the case-control studies on the correlation between CYP4F2V433M polymorphism and ischemic stroke included in domestic and international databases before January 2015 and selected the best genetic model, using RevMan 5.2 software for meta-analysis. According to the heterogeneity test results of selected literature, the effect model of consolidated data was selected, and the combined OR and 95% CI were calculated. RESULTS: A total of six documents were included. Recessive model (VM + MM vs. VV) was selected as the best genetic model. The combined results showed that: compared with wild-type VV, there are significant association between ischemic stroke and CYP4F2 polymorphism (OR merge = 1.37, 95% CI: 1.21~1.54, P < 0.001). CONCLUSION:CYP4F2V433M may be the susceptibility gene for ischemic stroke.
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