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毒性试验的统计设计:实验动物群体遗传结构的作用

Statistical design of toxicity assays: role of genetic structure of test animal population.

作者信息

Haseman J K, Hoel D G

出版信息

J Toxicol Environ Health. 1979 Jan;5(1):89-101. doi: 10.1080/15287397909529728.

Abstract

This paper concerns certain statistical aspects of the problem of among-strain differences in cancer susceptibility and how these differences may affect the design of toxicity assays. First, the data of Innes et al. (1969) were examined to investigate the magnitude of within-study, between-strain differences in tumor induction. Although there was a very high overall association between mouse strains with respect to the induction of hepatomas, evidence of strain-to-strain variability was found for several compounds. Next, a number of long-term carcinogenicity studies with DDT were considered, and among-strain differences in cancer susceptibility for this compound were noted. Finally, it was shown that if susceptible subgroups do exist, and certain simplifying assumptions are made, then in many cases tumor increases can be detected more readily by studying several inbred mouse strains rather than a single outbred stock.

摘要

本文涉及癌症易感性的品系间差异问题的某些统计学方面,以及这些差异如何影响毒性试验的设计。首先,研究了因尼斯等人(1969年)的数据,以调查研究内品系间肿瘤诱导差异的程度。尽管在肝癌诱导方面,小鼠品系之间总体关联性很高,但对于几种化合物,发现了品系间变异性的证据。接下来,考虑了多项关于滴滴涕的长期致癌性研究,并注意到该化合物在癌症易感性方面的品系间差异。最后表明,如果确实存在易感亚组,并且做出某些简化假设,那么在许多情况下,通过研究多个近交系小鼠品系而非单一远交群体,能够更容易地检测到肿瘤增加情况。

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