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AMESFIT: a microcomputer program for fitting linear-exponential dose-response models in the Ames Salmonella assay

B G Leroux1, D Krewski

  • 1Department of Biostatistics, University of Washington, Seattle 98195.

Environmental and Molecular Mutagenesis
|January 1, 1993
PubMed
Summary

A new microcomputer program analyzes Ames test genotoxicity data using a linear-exponential model. This approach accounts for mutagenic effects and high-dose cytotoxicity, improving data interpretation for chemical safety assessments.

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Area of Science:

  • Toxicology
  • Computational Biology
  • Genetics

Background:

  • The Ames Salmonella/microsome assay is a standard microbial test for detecting genotoxicity.
  • Accurate modeling of dose-response data, including high-dose downturns, is crucial for reliable genotoxicity assessment.

Purpose of the Study:

  • To introduce a microcomputer program for analyzing Ames assay data.
  • To implement a linear-exponential dose-response model that incorporates cytotoxicity effects.

Main Methods:

  • Development of a microcomputer program to fit a linear-exponential model to Ames assay data.
  • Utilizing quasi-likelihood methods for parameter estimation, accommodating extra-Poisson variation.
  • Application of the model to data from a large-scale collaborative Ames assay study.

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Main Results:

  • The program successfully fits a linear-exponential model to Ames assay data.
  • Quasi-likelihood methods provide robust parameter estimates, handling experimental data variations.
  • The model effectively addresses dose-response downturns caused by cytotoxicity.

Conclusions:

  • The developed program and linear-exponential model offer an improved method for analyzing Ames test genotoxicity data.
  • This approach enhances the interpretation of mutagenicity and cytotoxicity in chemical safety evaluations.
  • The tool is valuable for analyzing data from collaborative genotoxicity studies.