title: Mathematical modelling and quantitative methods.
abstract: The present review reports on the mathematical methods and statistical techniques presently available for hazard characterisation. The state of the art of mathematical modelling and quantitative methods used currently for regulatory decision-making in Europe and additional potential methods for risk assessment of chemicals in food and diet are described. Existing practices of JECFA, FDA, EPA, etc., are examined for their similarities and differences. A framework is established for the development of new and improved quantitative methodologies. Areas for refinement, improvement and increase of efficiency of each method are identified in a gap analysis. Based on this critical evaluation, needs for future research are defined. It is concluded from our work that mathematical modelling of the dose-response relationship would improve the risk assessment process. An adequate characterisation of the dose-response relationship by mathematical modelling clearly requires the use of a sufficient number of dose groups to achieve a range of different response levels. This need not necessarily lead to an increase in the total number of animals in the study if an appropriate design is used. Chemical-specific data relating to the mode or mechanism of action and/or the toxicokinetics of the chemical should be used for dose-response characterisation whenever possible. It is concluded that a single method of hazard characterisation would not be suitable for all kinds of risk assessments, and that a range of different approaches is necessary so that the method used is the most appropriate for the data available and for the risk characterisation issue. Future refinements to dose-response characterisation should incorporate more clearly the extent of uncertainty and variability in the resulting output.
authors.affiliation: Deutsches Krebsforschungszentrum, German Cancer Research Center, Abteilung Biostatistik R 0700, Postfach 10 19 49, D-69009, Heidelberg, Germany.
authors.forename: L
authors.initials: L
authors.lastname: Edler
authors.forename: K
authors.initials: K
authors.lastname: Poirier
authors.forename: M
authors.initials: M
authors.lastname: Dourson
authors.forename: J
authors.initials: J
authors.lastname: Kleiner
authors.forename: B
authors.initials: B
authors.lastname: Mileson
authors.forename: H
authors.initials: H
authors.lastname: Nordmann
authors.forename: A
authors.initials: A
authors.lastname: Renwick
authors.forename: W
authors.initials: W
authors.lastname: Slob
authors.forename: K
authors.initials: K
authors.lastname: Walton
authors.forename: G
authors.initials: G
authors.lastname: Würtzen
mesh_terms: D000818:Animals; D003657:Decision Making; D004305:Dose-Response Relationship, Drug; D005062:European Union; D015386:Hazardous Substances / Q000493:pharmacokinetics / Q000633:toxicity*; D006801:Humans; D023421:Models, Animal; D008962:Models, Theoretical; D018570:Risk Assessment / Q000379:methods; D013329:Structure-Activity Relationship; D020711:Threshold Limit Values
chemical_list: D015386:Hazardous Substances