Bayer AG, Research and Clinical Sciences Statistics, Müllerstr. 178, 13353, Berlin, Germany.
Fraunhofer Institute for Toxicology and Experimental Medicine ITEM, Nikolai-Fuchs-Str. 1, 30625, Hannover, Germany.
Regul Toxicol Pharmacol. 2019 Mar;102:13-22. doi: 10.1016/j.yrtph.2018.12.009. Epub 2018 Dec 17.
Recent updates of the OECD Guidelines for the Testing of Chemicals (Section 4: Health Effects) on genotoxicity testing emphasize the use of appropriate statistical methods for data analysis and proficiency proof. Updates also concern the mammalian erythrocyte micronucleus test (OECD 474), as the currently most often performed regulatory in vivo test. As the updated guideline gives high importance to adequate statistical assessment of historical negative control data to estimate validity of experiments and judge results, the present study evaluated statistical methodologies for handling of historical negative control data sets, and comes forward with respective proposals and reference data. Therefore, the working group "Statistics" within the German-speaking "Gesellschaft für Umwelt-Mutationsforschung e.V." (GUM) compiled a data set of 891 negative control rats from valid OECD 474-studies of four laboratories. Based on these data, Analysis-of-Variance (ANOVA) identified "laboratory" and "strain", but not "gender" as relevant stratification parameters, and argued for approximately normally distributed micronucleus frequencies in polychromatic erythrocytes per animal. This assumption provided the basis for further specifying one-sided parametric tolerance intervals for determination of corresponding upper historical negative control limits. Finally, the stability of such limits was investigated as a function of the number of experiments performed, using a simulation-based statistical strategy.
OECD 化学品测试指南(第 4 部分:健康影响)最近的更新强调了在数据分析和能力验证方面使用适当的统计方法。更新还涉及哺乳动物红细胞微核试验(OECD 474),这是目前最常进行的监管体内测试。由于更新后的指南高度重视对历史阴性对照数据进行充分的统计评估,以估计实验的有效性并判断结果,因此本研究评估了处理历史阴性对照数据集的统计方法,并提出了相应的建议和参考数据。因此,德语区“德国环境诱变学会(Gesellschaft für Umwelt-Mutationsforschung e.V.)”的“统计学”工作组编制了一个由四个实验室的 891 个有效 OECD 474 研究的阴性对照大鼠数据组成的数据集。基于这些数据,方差分析(ANOVA)确定了“实验室”和“品系”,但不是“性别”,是相关的分层参数,并认为每只动物的多色红细胞中的微核频率近似呈正态分布。该假设为进一步确定相应的上历史阴性对照限提供了依据。最后,使用基于模拟的统计策略,研究了这些限制的稳定性与所进行的实验数量之间的关系。