Literature DB >> 27000791

Genetic toxicology at the crossroads-from qualitative hazard evaluation to quantitative risk assessment.

Paul A White, George E Johnson1.   

Abstract

Applied genetic toxicology is undergoing a transition from qualitative hazard identification to quantitative dose-response analysis and risk assessment. To facilitate this change, the Health and Environmental Sciences Institute (HESI) Genetic Toxicology Technical Committee (GTTC) sponsored a workshop held in Lancaster, UK on July 10-11, 2014. The event included invited speakers from several institutions and the contents was divided into three themes-1: Point-of-departure Metrics for Quantitative Dose-Response Analysis in Genetic Toxicology; 2: Measurement and Estimation of Exposures for Better Extrapolation to Humans and 3: The Use of Quantitative Approaches in Genetic Toxicology for human health risk assessment (HHRA). A host of pertinent issues were discussed relating to the use of in vitro and in vivo dose-response data, the development of methods for in vitro to in vivo extrapolation and approaches to use in vivo dose-response data to determine human exposure limits for regulatory evaluations and decision-making. This Special Issue, which was inspired by the workshop, contains a series of papers that collectively address topics related to the aforementioned themes. The Issue includes contributions that collectively evaluate, describe and discuss in silico, in vitro, in vivo and statistical approaches that are facilitating the shift from qualitative hazard evaluation to quantitative risk assessment. The use and application of the benchmark dose approach was a central theme in many of the workshop presentations and discussions, and the Special Issue includes several contributions that outline novel applications for the analysis and interpretation of genetic toxicity data. Although the contents of the Special Issue constitutes an important step towards the adoption of quantitative methods for regulatory assessment of genetic toxicity, formal acceptance of quantitative methods for HHRA and regulatory decision-making will require consensus regarding the relationships between genetic damage and disease, and the concomitant ability to use genetic toxicity results per se. © Her Majesty the Queen in Right of Canada 2016. Reproduced with the permission of the Minister of Health.

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Year:  2016        PMID: 27000791     DOI: 10.1093/mutage/gew011

Source DB:  PubMed          Journal:  Mutagenesis        ISSN: 0267-8357            Impact factor:   3.000


  6 in total

1.  Comparative potency analysis of whole smoke solutions in the bacterial reverse mutation test.

Authors:  Fanxue Meng; Nan Mei; Jian Yan; Xiaoqing Guo; Patricia A Richter; Tao Chen; Mamata De
Journal:  Mutagenesis       Date:  2021-08-27       Impact factor: 3.000

2.  Applied genetic toxicology: From principles to practice.

Authors:  Catherine F Gibbons; Matthew J LeBaron
Journal:  Environ Mol Mutagen       Date:  2017-06       Impact factor: 3.579

3.  Comprehensive interpretation of in vitro micronucleus test results for 292 chemicals: from hazard identification to risk assessment application.

Authors:  Byron Kuo; Marc A Beal; John W Wills; Paul A White; Francesco Marchetti; Andy Nong; Tara S Barton-Maclaren; Keith Houck; Carole L Yauk
Journal:  Arch Toxicol       Date:  2022-04-21       Impact factor: 6.168

4.  Comparing BMD-derived genotoxic potency estimations across variants of the transgenic rodent gene mutation assay.

Authors:  John W Wills; George E Johnson; Hannah L Battaion; Wout Slob; Paul A White
Journal:  Environ Mol Mutagen       Date:  2017-09-25       Impact factor: 3.216

5.  In utero Exposure to Genotoxicants Leading to Genetic Mosaicism: An Overlooked Window of Susceptibility in Genetic Toxicology Testing?

Authors:  Roger W L Godschalk; Carole L Yauk; Jan van Benthem; George R Douglas; Francesco Marchetti
Journal:  Environ Mol Mutagen       Date:  2019-12-05       Impact factor: 3.216

Review 6.  Benchmark Dose Modeling of In Vitro Genotoxicity Data: a Reanalysis.

Authors:  Xiaoqing Guo; Nan Mei
Journal:  Toxicol Res       Date:  2018-10-15
  6 in total

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