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Published in: Breast Cancer Research and Treatment 2/2010

01-09-2010 | Epidemiology

Lack of association between MnSOD Val16Ala polymorphism and breast cancer risk: a meta-analysis involving 58,448 subjects

Authors: Li-Xin Qiu, Lei Yao, Chen Mao, Bo Chen, Ping Zhan, Hui Yuan, Kai Xue, Jian Zhang, Xi-Chun Hu

Published in: Breast Cancer Research and Treatment | Issue 2/2010

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Abstract

Published data on the association between MnSOD Val16Ala polymorphism and breast cancer risk are inconclusive. To derive a more precise estimation of the relationship, a meta-analysis was performed. Medline, PubMed, Embase, and Web of Science were searched. Crude ORs with 95% CIs were used to assess the strength of association between the MnSOD Val16Ala polymorphism and breast cancer risk. The pooled ORs were performed for co-dominant model (Val/Ala vs. Val/Val, Ala/Ala vs. Val/Val), dominant model (Ala/Ala + Val/Ala vs. Val/Val), and recessive model (Ala/Ala vs. Val/Ala + Val/Val), respectively. A total of 32 studies including 26,022 cases and 32,426 controls were involved in this meta-analysis. Overall, no significant associations were found between MnSOD Val16Ala polymorphism and breast cancer risk when all studies pooled into the meta-analysis (Val/Ala vs. Val/Val: OR = 1.022, 95% CI = 0.981–1.064; Ala/Ala vs. Val/Val: OR = 1.006, 95% CI = 0.934–1.083; dominant model: OR = 1.013, 95% CI = 0.962–1.066; and recessive model: OR = 0.985, 95% CI = 0.931–1.042). In the subgroup analysis by ethnicity or study design, still no significant associations were found for all comparison models. In conclusion, this meta-analysis suggests that the MnSOD Val16Ala polymorphism may be not associated with breast cancer development. 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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Metadata
Title
Lack of association between MnSOD Val16Ala polymorphism and breast cancer risk: a meta-analysis involving 58,448 subjects
Authors
Li-Xin Qiu
Lei Yao
Chen Mao
Bo Chen
Ping Zhan
Hui Yuan
Kai Xue
Jian Zhang
Xi-Chun Hu
Publication date
01-09-2010
Publisher
Springer US
Published in
Breast Cancer Research and Treatment / Issue 2/2010
Print ISSN: 0167-6806
Electronic ISSN: 1573-7217
DOI
https://doi.org/10.1007/s10549-010-0777-3

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