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TGFB1 L10P polymorphism is associated with breast cancer susceptibility: evidence from a meta-analysis involving 47,817 subjects
Authors:Li-Xin Qiu  Lei Yao  Chen Mao  Bo Chen  Ping Zhan  Kai Xue  Jian Zhang  Hui Yuan and Xi-Chun Hu
Institution:(1) Department of Medical Oncology, Cancer Hospital, Fudan University, Shanghai, China;(2) Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China;(3) State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, China;(4) Department of Epidemiology, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou, China;(5) Department of Geriatrics, First Affiliated Hospital, Nanjing Medical University, Nanjing, China;(6) Department of Respiratory Medicine, Nanjing Chest Hospital, Nanjing, China;(7) Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China;
Abstract:Published data on the association between TGFB1 L10P polymorphism and breast cancer risk are inconclusive. In order to derive a more precise estimation of the relationship, a meta-analysis was performed. Crude ORs with 95% CIs were used to assess the strength of association between them. A total of 30 studies including 20,401 cases and 27,416 controls were involved in this meta-analysis. Overall, significantly elevated breast cancer risk was associated with TGFB1 10P allele when all studies were pooled into the meta-analysis (LP vs. LL: OR = 1.046, 95% CI = 1.003–1.090; dominant model: OR = 1.052, 95% CI = 1.012–1.095). In the subgroup analysis by ethnicity, statistically significantly elevated risk was found in Caucasians (dominant model: OR = 1.045, 95% CI = 1.001–1.091). When stratified by study design, statistically significantly elevated risk was found based on population-based studies (dominant model: OR = 1.076, 95% CI = 1.019–1.136). In conclusion, this meta-analysis suggests that the TGFB1 10P allele may be a low-penetrant risk factor for developing breast cancer. However, large sample and representative population-based studies with homogeneous breast cancer patients and well-matched controls are warranted to confirm this finding.
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