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Modeling the Ames Salmonella/microsome assay.

Of the many short-term tests for mutagenicity that have been proposed in recent years, the Ames Salmonella/microsome assay is the single most widely used and most thoroughly validated in vitro test system. This assay uses cells cultured in a soft agar containing a trace amount of histidine to allow growth of auxotrophic bacteria, and is designed to detect reverse mutations from auxotrophic cells to histidine-independent prototrophic cells. In this paper, statistical models that have been proposed for the analysis of Ames test data are reviewed, including those of a mechanistic and empirical nature. An extension to the class of biologically based models derived by Margolin, Kaplan, and Zeiger (1981, Proceedings of the National Academy of Sciences 78, 3779-3783) is proposed by allowing for diffusion of histidine within the plate agar. Quasi-likelihood methods for estimating the model parameters are presented, and applied to 1,120 data sets from a recent collaborative trial sponsored by the International Programme on Chemical Safety.

Authors

  • Krewski, D, Krewski D, Health Protection Branch, Health & Welfare Canada, Ottawa, Ontario.

  • Leroux, B G, Leroux BG,

  • Bleuer, S R, Bleuer SR,

  • Broekhoven, L H, Broekhoven LH,

YEAR OF PUBLICATION: 1993
SOURCE: Biometrics. 1993 Jun;49(2):499-510.
JOURNAL TITLE ABBREVIATION: Biometrics
JOURNAL TITLE: Biometrics
ISSN: 0006-341X (Print) 0006-341X (Linking)
VOLUME: 49
ISSUE: 2
PAGES: 499-510
PLACE OF PUBLICATION: England
ABSTRACT:
Of the many short-term tests for mutagenicity that have been proposed in recent years, the Ames Salmonella/microsome assay is the single most widely used and most thoroughly validated in vitro test system. This assay uses cells cultured in a soft agar containing a trace amount of histidine to allow growth of auxotrophic bacteria, and is designed to detect reverse mutations from auxotrophic cells to histidine-independent prototrophic cells. In this paper, statistical models that have been proposed for the analysis of Ames test data are reviewed, including those of a mechanistic and empirical nature. An extension to the class of biologically based models derived by Margolin, Kaplan, and Zeiger (1981, Proceedings of the National Academy of Sciences 78, 3779-3783) is proposed by allowing for diffusion of histidine within the plate agar. Quasi-likelihood methods for estimating the model parameters are presented, and applied to 1,120 data sets from a recent collaborative trial sponsored by the International Programme on Chemical Safety.
LANGUAGE: eng
DATE OF PUBLICATION: 1993 Jun
DATE COMPLETED: 19931013
DATE REVISED: 20061115
MESH DATE: 1993/06/01 00:01
EDAT: 1993/06/01 00:00
STATUS: MEDLINE
PUBLICATION STATUS: ppublish
OWNER: NLM

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Daniel Krewski

Chief Risk Scientist

Dr. Daniel Krewski is Chief Risk Scientist and co-founder of Risk Sciences International (RSI), a firm established in 2006 to bring evidence-based, multidisciplinary expertise to the challenge of understanding, managing, and communicating risk. As RSI’s inaugural CEO and long-time scientific...
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