ObjectiveTo study the correlation between CYP1A1 MspI gene polymorphisms and the risk of breast cancer (BC) in Chinese population.MethodsThe case-control studies on the correlation between polymorphisms of CYP1A1 MspI and BC in Chinese population were electronically retrieved in online English database (PubMed and Web of Science) and Chinese database (Chinese National Knowledge Infrastructure, Wanfang, and VIP database) from the date of their establishment to December 31, 2018. Two reviewers completed literature screening according to the inclusion and exclusion criteria, data extraction, and methodological quality assessment of the included studies independently. Reman 5.3 software was used to meta-analysis.ResultsA total 14 case-control studies involving 3 372 cases and 3 510 controls were finally included. The meta-analysis results showed that the CYP1A1 MspI gene polymorphism was associated with BC in Chinese population. Dominant genetic model [OR=1.24, 95%CI was (0.98, 1.58), P=0.08] and heterozygote model [OR=1.11, 95%CI was (0.89, 1.39), P=0.37] had no association with BC in Chinese population, while recessive genetic model [OR=1.66, 95%CI was (1.28, 2.14), P=0.000 1], homozygote model [OR=1.76, 95%CI was (1.26, 2.45), P=0.000 9], and allele contrast genetic model [OR=1.30, 95%CI was (1.08, 1.56), P=0.005] increased the risk of BC in Chinese population.ConclusionIt is demonstrated that in Chinese population, CYP1A1 MspI gene polymorphisms related to the risk of BC, recessive genetic model, homozygote model, and allele contrast genetic model might be the risk factor for BC.
Based on the noninvasive detection indeices and fuzzy mathematics method, this paper studied the noninvasive, convenient and economical cardiovascular health assessment system. The health evaluation index of cardiovascular function was built based on the internationally recognized risk factors of cardiovascular disease and the noninvasive detection index. The weight of 12 indexes was completed by the analytic hierarchy process, and the consistency test was passed. The membership function, evaluation matrix and evaluation model were built by fuzzy mathematics. The introducted methods enhanced the scientificity of the evaluation system. Through the Kappa consistency test, McNemer statistical results (P = 0.995 > 0.05) and Kappa values (Kappa = 0.616, P < 0.001) suggest that the comprehensive evaluation results of model in this paper are relatively consistent with the clinical, which is of certain scientific significance for the early detection of cardiovascular diseases.
