Estimating noncancer uncertainty factors: are ratios NOAELs informative?
The prominent role of animal bioassay evidence in environmental regulatory decisions compels a careful characterization of extrapolation uncertainties. In noncancer risk assessment, uncertainty factors are incorporated to account for each of several extrapolations required to convert a bioassay outcome into a putative subthreshold dose for humans. Measures of relative toxicity taken between different dosing regimens, different endpoints, or different species serve as a reference for establishing the uncertainty factors. Ratios of no observed adverse effect levels (NOAELs) have been used for this purpose; statistical summaries of such ratios across sets of chemicals are widely used to guide the setting of uncertainty factors. Given the poor statistical properties of NOAELs, the informativeness of these summary statistics is open to question. To evaluate this, we develop an approach to "calibrate" the ability of NOAEL ratios to reveal true properties of a specified distribution for relative toxicity. A priority of this analysis is to account for dependencies of NOAEL ratios on experimental design and other exogenous factors. Our analysis of NOAEL ratio summary statistics finds (1) that such dependencies are complex and produce pronounced systematic errors and (2) that sampling error associated with typical sample sizes (50 chemicals) is nonnegligible. These uncertainties strongly suggest that NOAEL ratio summary statistics cannot be taken at face value; conclusions based on such ratios reported in well over a dozen published papers should be reconsidered.
Brand
K P
KP
Dept. of Environmental Health, University of Washington, Seattle 98105-6099, USA.
Rhomberg
L
L
Evans
J S
JS
D000465:Algorithms; D000818:Animals; D015982:Bias; D001681:Biological Assay; D002138:Calibration; D003198:Computer Simulation; D016001:Confidence Intervals; D003657:Decision Making; D004305:Dose-Response Relationship, Drug; D004785:Environmental Pollutants / Q000009:adverse effects; D006291:Health Policy; D006801:Humans; D051379:Mice; D008954:Models, Biological; D009374:Neoplasms, Experimental / Q000139:chemically induced*; D019055:No-Observed-Adverse-Effect Level; D011336:Probability; D051381:Rats; D012107:Research Design; D018570:Risk Assessment / Q000379:methods* / Q000706:statistics & numerical data; D014116:Toxicology
D004785:Environmental Pollutants