This rigorous and practical account of the interpretation of mutagenicity test data draws upon the expertise of toxicologists and statisticians.This rigorous and practical account of the interpretation of mutagenicity test data draws upon the expertise of toxicologists and statisticians. Chemicals, such as drugs, food additives and pesticides, all need careful screening to eliminate potentially mutagenic compounds.This rigorous and practical account of the interpretation of mutagenicity test data draws upon the expertise of toxicologists and statisticians. Chemicals, such as drugs, food additives and pesticides, all need careful screening to eliminate potentially mutagenic compounds.The expertise of toxicologists and statisticians to provide a rigorous and practical account of the interpretation of mutagenicity test data has been drawn upon for this volume. Now, chemicals such as drugs, food additives and pesticides all need careful screening to eliminate potentially mutagenic compounds. Although guidelines exist on the performance of these tests, advice on data evolution is scarce. This niche is now filled by providing the statistical background necessary for toxicologists to understand, design and interpret mutagenicity tests. In addition to the nine chapters dealing with the different tests explained, there is an introductory chapter on some of the statistical principles included, a glossary of useful terms and an appendix providing vital information on the availability of computer software.Steering group; Contributors; Preface; List of abbreviations; 1. Statistics and genetic toxicology - setting the scene D. P. Lovell; 2. Analysis of data from microbial colony assays G. A. T. Mahon, M. H. L. Green, B. Middleton, I. de G. Mitchell, W. D. Robinson and D. J. Tweats (group leader); 3. Mammalian cell gene mutation assays based upon colony formation C. F. Arlett (group leader), D. M. Smith, G. M. Clarke, M. H. L. Green, J. Cole, D. B. McGregor and J. C. AsquithlC}