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Issues in Qualitative and Quantitative Risk Analysis for Developmental Toxicology 1
Author(s) -
Kimmel Carole A.,
Gaylor David W.
Publication year - 1988
Publication title -
risk analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.972
H-Index - 130
eISSN - 1539-6924
pISSN - 0272-4332
DOI - 10.1111/j.1539-6924.1988.tb01149.x
Subject(s) - extrapolation , risk assessment , developmental toxicity , interpretation (philosophy) , toxicology , statistics , risk analysis (engineering) , computer science , mathematics , biology , medicine , pregnancy , gestation , computer security , genetics , programming language
The qualitative and quantitative evaluation of risk in developmental toxicology has been discussed in several recent publications.( 1–3 ) A number of issues still are to be resolved in this area. The qualitative evaluation and interpretation of end points in developmental toxicology depends on an understanding of the biological events leading to the end points observed, the relationships among end points, and their relationship to dose and to maternal toxicity. The interpretation of these end points is also affected by the statistical power of the experiments used for detecting the various end points observed. The quantitative risk assessment attempts to estimate human risk for developmental toxicity as a function of dose. The current approach is to apply safety (uncertainty) factors to die no observed effect level (NOEL). An alternative presented and discussed here is to model the experimental data and apply a safety factor to an estimated risk level to achieve an “acceptable” level of risk. In cases where the dose‐response curves upward, this approach provides a conservative estimate of risk. This procedure does not preclude the existence of a threshold dose. More research is needed to develop appropriate dose‐response models that can provide better estimates for low‐dose extrapolation of developmental effects.