Literature DB >> 3574331

An approach to identifying specialized batteries of bioassays for specific classes of chemicals: class analysis using mutagenicity and carcinogenicity relationships and phylogenetic concordance and discordance patterns. 1. Composition and analysis of the overall data base. A report of phase II of the U.S. Environmental Protection Agency Gene-Tox Program.

V A Ray, L D Kier, K L Kannan, R T Haas, A E Auletta, J S Wassom, S Nesnow, M D Waters.   

Abstract

This report of the Gene-Tox Assessment Panel is a compilation of data that documents the chemical testing efforts in genetic toxicology through mid-1979. It thus provides an historical perspective of the major efforts in this field and the utility of test models. The total number of chemicals tested in assays reflects chemical availability, commercial interest in specific structural types, the ease or difficulty in assay performance, as well as methodological development resulting from testing experience. Other factors that have been important in assay selection and utility are the perceptions of relevance to hazard evaluation of chemicals and the role that genetic factors may have in other disease states as well as in heritable defects. The phylogenetic diversity of test systems attests to the tremendous effort that has been applied to the testing and evaluation of the effect chemicals can have on genetic structure. The data also illustrate the fact that certain chemicals have an intrinsic capability to alter the genetic structure of cells of diverse biological origin in an heritable manner, whereas others do not. Any attempt to summarize and analyze a data base of this magnitude is a formidable task that would be almost impossible without a computer capability. A computerized system of analysis has been developed at the Environmental Mutagen Information Center (EMIC) that makes it possible to examine the performance of any particular assay in any of 30 chemical classes and to make comparisons with all the other assays individually or in designated groupings. Components of this system include: A distribution of the 2622 chemicals into 30 chemical classes with results of testing in each class. A tabulation of assay results showing the total numbers of chemicals tested, with their definitive and nondefinitive results. A subdivision of assays and results of testing into four major groups: gene mutation, chromosomal aberrations, other genotoxic effects, and in vitro cell transformation assays. These major groups are further subdivided into phylogenetic categories and type of assay. A system of analysis of results utilizing mutagenicity and carcinogenicity comparisons and phylogenetic concordance and discordance. The major utility and/or benefit of this compilation will be derived from a chemical class by chemical class comparative analysis of individual assay performance. Obviously, the data base will serve as a resource for safety evaluation of chemicals through structural correlations and biological end point analyses.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1987        PMID: 3574331     DOI: 10.1016/0165-1110(87)90018-2

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  4 in total

Review 1.  Utility of short-term tests for genetic toxicity.

Authors:  D M DeMarini; J Lewtas; H E Brockman
Journal:  Cell Biol Toxicol       Date:  1989-06       Impact factor: 6.691

Review 2.  The Salmonella mutagenicity assay: the stethoscope of genetic toxicology for the 21st century.

Authors:  Larry D Claxton; Gisela de A Umbuzeiro; David M DeMarini
Journal:  Environ Health Perspect       Date:  2010-11       Impact factor: 9.031

3.  Current status of the Gene-Tox Program.

Authors:  A E Auletta; M Brown; J S Wassom; M C Cimino
Journal:  Environ Health Perspect       Date:  1991-12       Impact factor: 9.031

4.  Structure-activity relations: maximizing the usefulness of mutagenicity and carcinogenicity databases.

Authors:  G Klopman; H Rosenkranz
Journal:  Environ Health Perspect       Date:  1991-12       Impact factor: 9.031

  4 in total

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