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Data from a series of mouse micronucleus assays have been reanalysed to illustrate various statistical issues raised by Ashby and co-workers during the development of the assay. Most of the statistical points discussed in these earlier papers can be explained by the stochastic nature of the data. Reanalysis shows that the type of data collected in mammalian micronucleus assays is amenable to analysis by standard biometric methods. It is concluded that statistical analysis has an important role in the exploration and interpretation of data from the micronucleus assay.

Confidence in results from monitoring genetic end points in environmentally or occupationally exposed individuals can be improved with knowledge of the normal variability of changes in genetic end points in the general population. Confounding effects can be determined, and study interpretation can be improved by correlation of this variability with various lifestyle factors such as sex and age, smoking and drinking habits, viral infections, exposure to diagnostic X-rays, etc. Eight blood samples were taken from each of24 male and 24 female volunteers over a period of2 years. Questionnaires pertaining to lifestyle were completed at the time of each sampling. Whole blood was cultured and slides prepared for chromosome abberration (CA) or sister chromatid exchange (SCE) analysis. Separated mononuclear cells were cultured with a range of phytohemagglutinin concentrations, and the maximum level of mitogen-induced blastogenesis was determined by measurement of [3H]thymidine uptake. There was a significant effect of both year and season of sampling for all three end points. Because there was no consistent pattern in 2 successive years, effects were thought to be independent of season. No significant effects in any of the three end points were found with respect to sex or age nor any of the other lifestyle factors, although SCE frequency and mitogen-induced blastogenesis were nearly always higher in females than in males. These results point to the need for concurrent sampling of controls with exposed populations.