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Validating the meta-analytical results on MDM2, CASP8, XRCC3 polymorphisms and breast cancer risk: examination of Hardy-Weinberg Equilibrium.

机译:验证有关MDM2,CASP8,XRCC3多态性和乳腺癌风险的荟萃分析结果:检查Hardy-Weinberg平衡。

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摘要

Following the valuable methodological remarks by Mao et al. [1] regarding our meta-analysis on glutatbione-S-transferase polymorphisms and breast cancer risk [2], we decided to present elaborate sensitivity analyses on Hardy-Weinberg Equilibrium (HWE) in our three previous meta-analyses examining MDM2 SNP309 [3], CASP8 [4] and XRCC3 Thr241Met [5] polymorphisms and breast cancer risk.Sensitivity analyses were performed excluding studies whose allele frequencies in controls exhibited significant deviation from HWE, given that the deviation may denote bias [6]. For the assessment of the deviation from HWE, the appropriate goodness-of-fit x~2 test was performed [6, 7].Of note a deviation from HWE in a mixed control population was allowed as the underlying assumptions of HWE are not fulfilled [8]. For the evaluation of the goodness-of-fit x~2 test, statistical significance was defined as P < 0.05.
机译:遵循毛等人的方法论观点。 [1]关于我们对谷胱甘肽-S-转移酶多态性和乳腺癌风险的荟萃分析[2],我们决定在检查MDM2 SNP309的前三项荟萃分析中介绍有关Hardy-Weinberg平衡(HWE)的详尽敏感性分析。 ],CASP8 [4]和XRCC3 Thr241Met [5]多态性与乳腺癌风险。进行了敏感性分析,排除了研究中等位基因频率与HWE显着偏离的研究,因为该偏离可能表明存在偏倚[6]。为了评估与HWE的偏差,进行了适当的拟合优度x〜2检验[6,7]。值得注意的是,由于未满足HWE的基本假设,允许在混合对照组中与HWE进行偏差。 [8]。为了评估拟合优度x〜2检验,统计学显着性定义为P <0.05。

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