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• W3150386035 abstract "A number of studies have been investigated the association between CYP17 T34C polymorphism and the risk of breast cancer; the results of these studies are inconsistent, however. This fact implies that the effect of CYP17 T34C polymorphism on susceptibility to breast cancer may be modified by other risk factors. In order to provide a more definitive conclusion, a full meta-analysis combining and summarizing 24 studies was first per- formed. Both traditional method and Bayesian approach were applied. Odds ratio was estimated using a dominant mode of inheritance after a biological justification for the choice of genetic model. The results of homogeneity analysis (H = 1.16, I 2 = 25.4%, and P = 0.127) sug- gested the presence of heterogeneity across the studies. Thus, random effects models simulated by the DerSimo- nian-Laird method were employed. The capability of a Bayesian approach was highlighted in the estimation of a pooled odds ratio and 95% confidence interval. The results of meta-analysis (OR = 1.001, CI = 0.832-1.208) suggest no significant association in the combined populations. Furthermore, Bayesian meta-regression and subgroup analysis were conducted to investigate the sources of het- erogeneity. The risk factors evaluated in the study were menopausal status, ethnicity, age at menarche, age at first birth, parity, use of oral contraceptives, body mass index (BMI), and use of hormone repair therapy (HRT). After these population stratifications, there was evidence indi- cating that a possible impact of menopausal status, age at menarche, and BMI on the association between CYP17 T34C polymorphism and the risk of breast cancer." @default.
• W3150386035 created "2021-04-13" @default.
• W3150386035 creator A5029082979 @default.
• W3150386035 date "2010-01-01" @default.
• W3150386035 modified "2023-09-27" @default.
• W3150386035 title "Factors influencing the association between CYP17 T34C polymorphism and the risk of breast cancer: meta-regression and subgroup analysis" @default.
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