Review of noncancer risk assessment: Applications of benchmark dose methods

Abstract The overall goal of this project is to evaluate and compare risk assessment methods traditionally used for noncancer health risks and to compare them with new approaches. These methods include the no observed adverse effect level (NOAEL), lowest observed adverse effect level (LOAEL), and the more recently proposed benchmark dose (BMD), in which a dose is identified using a curve‐fitting procedure and a prespecified effect level. Applications of the BMD method are reviewed for developmental toxicity, reproductive toxicity, neurotoxicity, ecological toxicity, carcinogenicity, and other biological impacts. Evaluations have shown that the benchmark method is generally no more conservative than the NOAEL approach and confers several significant advantages for safety assessment. In addition, traditional safety factor approaches used for RfD calculation based on LOAEL values are overly conservative. Studies show that exposures at NOAELs are not “risk free”; but may represent effect levels ranging from 3...

[1]  R L Kodell,et al.  Neurotoxicity modeling for risk assessment. , 1995, Regulatory toxicology and pharmacology : RTP.

[2]  T. Auton Calculation of benchmark doses from teratology data. , 1994, Regulatory toxicology and pharmacology : RTP.

[3]  B C Allen,et al.  Dose-response assessment for developmental toxicity. III. Statistical models. , 1994, Fundamental and applied toxicology : official journal of the Society of Toxicology.

[4]  J J Chen,et al.  Precision of benchmark dose estimates for continuous (nonquantal) measurements of toxic effects. , 1996, Regulatory toxicology and pharmacology : RTP.

[5]  C. Kimmel,et al.  Characterization of a developmental toxicity dose-response model. , 1989, Environmental health perspectives.

[6]  T. Auton,et al.  Application of benchmark dose risk assessment methodology to developmental toxicity: an industrial view. , 1995, Toxicology Letters.

[7]  Kenny S. Crump,et al.  Calculation of Benchmark Doses from Continuous Data , 1995 .

[8]  R J Kavlock,et al.  The developmental toxicity of inhaled methanol in the CD-1 mouse, with quantitative dose-response modeling for estimation of benchmark doses. , 1993, Teratology.

[9]  D W Gaylor,et al.  Incidence of developmental defects at the no observed adverse effect level (NOAEL). , 1992, Regulatory toxicology and pharmacology : RTP.

[10]  R L Kodell,et al.  Mathematical modeling of reproductive and developmental toxic effects for quantitative risk assessment. , 1991, Risk analysis : an official publication of the Society for Risk Analysis.

[11]  W Leisenring,et al.  Statistical properties of the NOAEL. , 1992, Regulatory toxicology and pharmacology : RTP.

[12]  L. Ryan The use of generalized estimating equations for risk assessment in developmental toxicity. , 1992, Risk analysis : an official publication of the Society for Risk Analysis.

[13]  A. John Bailer,et al.  Statistical analysis of the Ceriodaphnia toxicity test: Sample size determination for reproductive effects , 1993 .

[14]  H. Koëter Testing and risk assessment strategies: international perspectives. , 1997, Reproductive Toxicology.

[15]  R J Kavlock,et al.  Benchmark Dose Workshop: criteria for use of a benchmark dose to estimate a reference dose. , 1995, Regulatory toxicology and pharmacology : RTP.

[16]  R J Kavlock,et al.  A simulation study of the influence of study design on the estimation of benchmark doses for developmental toxicity. , 1995, Risk analysis : an official publication of the Society for Risk Analysis.

[17]  J. Timbrell,et al.  Casarett and Doull's Toxicology: The Basic Science of Poisons , 1981 .

[18]  M. D. Hogan,et al.  The impact of litter effects on dose-response modeling in teratology. , 1986, Biometrics.

[19]  D W Gaylor,et al.  Issues in qualitative and quantitative risk analysis for developmental toxicology. , 1988, Risk analysis : an official publication of the Society for Risk Analysis.

[20]  W Pease,et al.  Comparing alternative approaches to establishing regulatory levels for reproductive toxicants: DBCP as a case study. , 1991, Environmental health perspectives.

[21]  K S Crump,et al.  A new method for determining allowable daily intakes. , 1984, Fundamental and applied toxicology : official journal of the Society of Toxicology.

[22]  D. Mattison,et al.  Summary of the workshop on issues in risk assessment: quantitative methods for developmental toxicology. , 1994, Risk analysis : an official publication of the Society for Risk Analysis.

[23]  H. J. Clewell,et al.  Pharmacokinetic dose estimates of mercury in children and dose-response curves of performance tests in a large epidemiological study , 1995 .

[24]  B C Allen,et al.  Dose-response assessment for developmental toxicity. I. Characterization of database and determination of no observed adverse effect levels. , 1994, Fundamental and applied toxicology : official journal of the Society of Toxicology.

[25]  B C Allen,et al.  Dose-response assessments for developmental toxicity. IV. Benchmark doses for fetal weight changes. , 1995, Fundamental and applied toxicology : official journal of the Society of Toxicology.

[26]  A. John Bailer,et al.  Modeling reproductive toxicity in Ceriodaphnia tests , 1993 .

[27]  K. Rai,et al.  A dose-response model for teratological experiments involving quantal responses. , 1985, Biometrics.

[28]  D. Krewski,et al.  Applications of multinomial dose-response models in developmental toxicity risk assessment. , 1994, Risk analysis : an official publication of the Society for Risk Analysis.

[29]  D. Krewski,et al.  A simple data transformation for estimating benchmark doses in developmental toxicity experiments. , 1995, Risk analysis : an official publication of the Society for Risk Analysis.

[30]  Daniel Krewski,et al.  Dose-Response Models for Correlated Multinomial Data from Developmental Toxicity Studies , 1994 .

[31]  R. Kavlock Recent advances in mathematical modeling of developmental abnormalities using mechanistic information. , 1997, Reproductive toxicology.

[32]  R. Kavlock,et al.  Biologically based dose-response modeling in developmental toxicology: biochemical and cellular sequelae of 5-fluorouracil exposure in the developing rat. , 1994, Toxicology and Applied Pharmacology.

[33]  W Slikker,et al.  Risk assessment for neurotoxic effects. , 1990, Neurotoxicology.

[34]  S H Moolgavkar,et al.  A biologically-based dose-response model for developmental toxicology. , 1996, Risk analysis : an official publication of the Society for Risk Analysis.

[35]  C J Price,et al.  Benchmark dose analysis of developmental toxicity in rats exposed to boric acid. , 1996, Fundamental and applied toxicology : official journal of the Society of Toxicology.

[36]  D. Gaylor,et al.  Analysis of trinomial responses from reproductive and developmental toxicity experiments. , 1991, Biometrics.

[37]  Elaine M. Faustman,et al.  Dose-response assessment for developmental toxicity , 1994 .

[38]  Dale Hattis,et al.  Improvements in Quantitative Noncancer Risk Assessment , 1993 .

[39]  K. Victorin,et al.  Application of the benchmark method to risk assessment of trichloroethene. , 1995, Regulatory toxicology and pharmacology : RTP.

[40]  D. Gaylor,et al.  Process of building biologically based dose-response models for developmental defects. , 1992, Teratology.

[41]  L. Ryan,et al.  Modeling fetal death and malformation in developmental toxicity studies. , 1994, Risk analysis : an official publication of the Society for Risk Analysis.

[42]  C. Kimmel,et al.  Dose-response assessment for developmental toxicity. II. Comparison of generic benchmark dose estimates with no observed adverse effect levels. , 1994, Fundamental and applied toxicology : official journal of the Society of Toxicology.