Appendix C
Overview of Risk Assessment

The objective of chemical risk assessment methodologies is to facilitate both scientific and data-informed decision making and also is increasingly expected to provide more accurate predictions of actual risk. The validity of a prediction of risk derived from a risk assessment depends largely on the quality and accuracy of data. Where data do not exist or are contradictory, regulatory agencies are forced to rely on default values, uncertainty factors, and modeling approaches to fill in the blanks. These defaults and extrapolations introduce uncertainty into the risk estimates. New methodologies and testing methods could fill key data gaps, clarify data inconsistencies, or otherwise reduce uncertainty. If applied appropriately, these approaches have the potential to improve the accuracy and scientific credibility of regulatory decision making.

An Overview of Current Risk Assessment Practice

Government agencies charged with protecting public and worker health are required to review, quantify, and ultimately regulate chemicals, physical agents, and pharmaceuticals in a manner that will protect and enhance the public health and the environment. One of these regulatory responsibilities is to assess the risk to human health from chemical exposures. This section provides a brief overview of the aspects of regulatory risk assessment practices most relevant to toxicogenomic technologies. Further details about the risk-assessment process can be found in several references (EPA 1986, 2004, 2005; PCCRARM 1997).

Human health risk assessment is the process of analyzing information to determine whether an environmental hazard might cause harm to exposed persons (EPA 2004). The risk-assessment process integrates many disciplines of toxicology. It has both qualitative and quantitative components and consists of



The National Academies | 500 Fifth St. N.W. | Washington, D.C. 20001
Copyright © National Academy of Sciences. All rights reserved.
Terms of Use and Privacy Statement



Below are the first 10 and last 10 pages of uncorrected machine-read text (when available) of this chapter, followed by the top 30 algorithmically extracted key phrases from the chapter as a whole.
Intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text on the opening pages of each chapter. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.

Do not use for reproduction, copying, pasting, or reading; exclusively for search engines.

OCR for page 270
Appendix C Overview of Risk Assessment The objective of chemical risk assessment methodologies is to facilitate both scientific and data-informed decision making and also is increasingly ex- pected to provide more accurate predictions of actual risk. The validity of a pre- diction of risk derived from a risk assessment depends largely on the quality and accuracy of data. Where data do not exist or are contradictory, regulatory agen- cies are forced to rely on default values, uncertainty factors, and modeling ap- proaches to fill in the blanks. These defaults and extrapolations introduce uncer- tainty into the risk estimates. New methodologies and testing methods could fill key data gaps, clarify data inconsistencies, or otherwise reduce uncertainty. If applied appropriately, these approaches have the potential to improve the accu- racy and scientific credibility of regulatory decision making. An Overview of Current Risk Assessment Practice Government agencies charged with protecting public and worker health are required to review, quantify, and ultimately regulate chemicals, physical agents, and pharmaceuticals in a manner that will protect and enhance the public health and the environment. One of these regulatory responsibilities is to assess the risk to human health from chemical exposures. This section provides a brief overview of the aspects of regulatory risk assessment practices most relevant to toxicogenomic technologies. Further details about the risk-assessment process can be found in several references (EPA 1986, 2004, 2005; PCCRARM 1997). Human health risk assessment is the process of analyzing information to determine whether an environmental hazard might cause harm to exposed per- sons (EPA 2004). The risk-assessment process integrates many disciplines of toxicology. It has both qualitative and quantitative components and consists of 270

OCR for page 270
271 Appendix C four general steps: hazard identification, dose-response assessment, exposure assessment, and risk characterization (NRC 1983, 1994). Step 1: Hazard identification entails identifying the contaminants that are suspected to pose health hazards, quantifying the concentrations at which they are present in the environment, describing the specific forms of toxicity (neuro- toxicity, carcinogenicity, etc.) that the contaminants of concern can cause, and evaluating the conditions under which these forms of toxicity might be ex- pressed in exposed humans. Step 2: Dose-response assessment entails further evaluating the condi- tions under which the toxic properties of a chemical might be manifested in ex- posed people, with particular emphasis on the quantitative relation between the dose and the toxic response. The development of this relationship may involve the use of mathematical models. This step may include an assessment of varia- tions in response—for example, differences in susceptibility between young and old people. Step 3: Exposure assessment involves specifying the population that might be exposed to the agent of concern, identifying the routes through which exposure can occur, and estimating the magnitude, duration, and timing of the doses that people might receive as a result of their exposure. Step 4: Risk characterization involves integrating information from the first three steps to develop a qualitative or quantitative estimate of the likelihood that any of the hazards associated with the agent of concern will be realized in exposed people. This is the step in which risk-assessment results are expressed. Risk characterization should also include a full discussion of the uncertainties associated with the estimates of risk (Adapted from NRC 1994). Toxicogenomic information has a potential role in all aspects of the risk- assessment process. For example, in hazard identification, toxicogenomic data could inform the types of hazard a chemical presents (for example, whether it poses cancer or noncancer risks) and the modes and mechanisms of toxic action1 1 The EPA (EPA 2005) provides the following definitions: “The term ‘mode of action’ is defined as a sequence of key events and processes, starting with interaction of an agent with a cell, proceeding through operational and anatomical changes, and resulting in can- cer formation. A ‘key event’ is an empirically observable precursor step that is itself a necessary element of the mode of action or is a biologically based marker for such an element. Mode of action is contrasted with ‘mechanism of action,’ which implies a more detailed understanding and description of events, often at the molecular level, than is meant by mode of action. The toxicokinetic processes that lead to formation or distribu- tion of the active agent to the target tissue are considered in estimating dose but are not part of the mode of action as the term is used here. There are many examples of possible

OCR for page 270
272 Appendix C through which it acts. Information on the mode of action is also a component in deciding the appropriate approach to dose-response assessment (described fur- ther below). Toxicogenomic approaches could support exposure assessment by indicating cellular exposure to toxicants. Toxicogenomic data may also be used to better understand areas of uncertainty, including variability in the human population, extrapolation of data from one species to another, identification of susceptible subpopulations, and provision of quantitative data to improve risk assessments. Quantification of Risk Different analytical techniques are used in cancer and noncancer risk as- sessments to quantify risk. The end result of a noncancer risk assessment can be the determination of a quantitative human reference dose (RfD) for oral expo- sures or a reference concentration (RfC) for inhalation exposures (both are gen- erically referred to as a “reference value”).2 As summarized by the U.S. Environmental Protection Agency (EPA) (EPA 2004): When developing a noncancer reference value (a RfD or RfC) for a chemical substance, EPA surveys the scientific literature and selects a critical study and a critical effect. The critical effect is defined as the adverse effect, or its known precursor, that occurs at the lowest dose identified in the most sensi- tive species as the dose rate of an agent increases. When a no-observed-adverse- effect level (NOAEL)3 can be identified in a critical study, it becomes the basis for the reference value derivation. If NOAEL cannot be identified, then a low- est-observed-adverse-effect level (LOAEL)4 is identified instead. Recently, benchmark doses (BMDs) (EPA 2000) from the modeling of dose-response data modes of carcinogenic action, such as mutagenicity, mitogenesis, inhibition of cell death, cytotoxicity with reparative cell proliferation, and immune suppression.” 2 Reference concentration (RfC): An estimate (with uncertainty spanning perhaps an order of magnitude) of a continuous inhalation exposure to the human population (includ- ing sensitive subgroups) that is likely to be without an appreciable risk of deleterious effects during a lifetime. Reference dose (RfD): An estimate (with uncertainty spanning perhaps an order of magnitude) of a daily oral exposure to the human population (includ- ing sensitive subgroups) that is likely to be without an appreciable risk of deleterious effects during a lifetime. (Source: EPA 2007) 3 The highest exposure level at which there are no statistically or biologically signifi- cant increases in the frequency or severity of adverse effects between the exposed popu- lation and its appropriate control is called the no-observed-adverse-effect level (NOAEL) (EPA 2004). 4 “A LOAEL is the lowest exposure level at which there are biologically significant increases (with or without statistical significance) in frequency or severity of adverse effects between the exposed population and its appropriate control group. The NOAEL is generally presumed to lie between zero and the LOAEL, so an UF [uncertainty factor] (generally 10 but sometimes 3 or 1) is applied to the LOAEL to derive a nominal NOAEL” (EPA 2004).

OCR for page 270
273 Appendix C have been used instead of the traditional NOAEL/LOAEL approach; however, most RfDs are based on NOAELs (EPA 2004). The NOAEL, LOAEL, or BMD is divided by appropriate uncertainty factor to derive the final reference value. The uncertainty factors are generally 10-fold (but can be higher or lower if in- formed by data) and are intended to account for uncertainty in the available data from (1) variation in the human population, (2) extrapolating animal data to hu- mans, (3) extrapolating from less-than-lifetime exposures to lifetime exposure, (4) extrapolating from a LOAEL rather than from a NOAEL, and (5) using in- complete databases.5 For carcinogenic compounds, data from human epidemi- ologic studies are preferred, but, in the absence of human epidemiologic data, animal data are used.6 Dose-response curves are constructed from these studies; however, the range of doses is frequently above the levels of environmental in- terest. To estimate the risks below the levels tested, the observed data are used to derive a point of departure7 followed by extrapolation to lower exposures (EPA 2005). Linear or nonlinear approaches can be used to extrapolate to low doses, and the choice of methods is critical because the derived risk estimates vary by technique. In general, linear approaches produce more conservative risk esti- mates than nonlinear approaches (NRC 2006). The selection of the various models used to extrapolate to low doses is in- formed by a compound’s mode of action. The EPA cancer guidance (EPA 2005) states that “when available data are insufficient to establish the mode of action for a tumor site and when scientifically plausible based on the available data, linear extrapolation is used as a default approach.”8 Further, “A nonlinear ap- proach should be selected when there are sufficient data to ascertain the mode of action and conclude that it is not linear at low doses and the agent does not dem- onstrate mutagenic or other activity consistent with linearity at low doses.” For 5 In some cases, the largest divisor the EPA will use is 3,000 because of the uncer- tainty when so many uncertainty factors are applied (for example, see the risk assessment for trichloroethylene (EPA 2001). 6 As described by the EPA (2005): “When animal studies are the basis of the analysis, the estimation of a human-equivalent dose should utilize toxicokinetic data to inform cross-species dose scaling if appropriate and if adequate data are available. Otherwise, default procedures [described the EPA 2005] should be applied.” 7 As described by the EPA (2005): “A ‘point of departure’ (POD) marks the beginning of extrapolation to lower doses. The POD is an estimated dose (usually expressed in hu- man-equivalent terms) near the lower end of the observed range, without significant ex- trapolation to lower doses.” 8 The 2005 Cancer Guidance also states: “Linear extrapolation should be used when there are MOA [mode of action] data to indicate that the dose-response curve is expected to have a linear component below the POD [point of departure]. Agents that are generally considered to be linear in this region include: agents that are DNA-reactive and have direct mutagenic activity, or agents for which human exposures or body burdens are high and near doses associated with key precursor events in the carcinogenic process, so that background exposures to this and other agents operating through a common mode of action are in the increasing, approximately linear, portion of the dose-response curve.”

OCR for page 270
274 Appendix C cancer risk assessments, extrapolations from the point of departure can be used to calculate a cancer slope factor9 (for linear extrapolation) and a RfD or RfC among other outputs (for nonlinear extrapolation) (EPA 2005). The values derived from the cancer and noncancer risk assessments are used to protect the public from unacceptable chemical exposures and can be the basis of regulatory decision making (for example, in establishing standards for water and air quality and requirements for environmental cleanup). These values have a range of implications to stakeholders and, because of the uncertainty in- herent in the risk assessment process, their derivation can be quite controversial (e.g., NRC 1999, 2001, 2005, 2006). As a result, tools such as toxicogenomics that can be used in the risk-assessment process to increase the certainty of risk estimates are of great importance for protecting public health. REFERENCES EPA (U.S. Environmental Protection Agency). 1986. Guidelines for Carcinogen Risk Assessment. EPA/630/R-00/004. Risk Assessment Forum, U.S. Environmental Protection Agency, Washington, DC. EPA (U.S. Environmental Protection Agency). 2000. Benchmark Dose Technical Guid- ance Document. External Review Draft. EPA/630/R-00/001. Risk Assessment Fo- rum, U.S. Environmental Protection Agency, Washington, DC. October 2000 [online]. Available: http://www.epa.gov/nceawww1/pdfs/bmds/BMD-External_ 10_13_2000.pdf [accessed April 13, 2007]. EPA (U.S. Environmental Protection Agency). 2001. Trichloroethylene Health Risk As- sessment: Synthesis and Characterization. External Review Draft. EPA/600/P- 01/002A. Office of Research and Development, U.S. Environmental Protection Agency, Washington, DC. August 2001. EPA (U.S. Environmental Protection Agency). 2004. An Examination of EPA Risk As- sessment Principles and Practices. Staff Paper. Prepared for the U.S. Environ- mental Protection Agency by Members of the Risk Assessment Task Force. EPA/100/B-04/001. Office of the Science Advisor, U.S. Environmental Protection Agency, Washington, DC [online]. Available: http://www.epa.gov/OSA/pdfs/ratf- final.pdf [accessed Jan.13, 2006]. EPA (U.S. Environmental Protection Agency). 2005. Guidelines for Carcinogen Risk Assessment. EPA/630/P-03/001F. Risk Assessment Forum, U.S. Environmental Protection Agency, Washington, DC. March 2005 [online]. Available: http://www. epa.gov/iriswebp/iris/cancer032505.pdf .[accessed April 13, 2007]. EPA (U.S. Environmental Protection Agency). 2007. Glossary of IRIS Terms. Integrated Risk Information System, U.S. Environmental Protection Agency [online]. Avail- able: http://www.epa.gov/iris/gloss8.htm [accessed April 13, 2007]. NRC (National Research Council). 1983. Risk Assessment in the Federal Government: Managing the Process. Washington, DC: National Academy Press. 9 An upper bound, approximating a 95% confidence limit, on the increased cancer risk from a lifetime exposure to an agent. This estimate is usually expressed in units of pro- portion (of a population) affected per mg/kg-day (Adapted from EPA 2007).

OCR for page 270
275 Appendix C NRC (National Research Council). 1994. Science and Judgment in Risk Assessment. Washington, DC: National Academy Press. NRC (National Research Council). 1999. Arsenic in Drinking Water. Washington, DC: National Academy Press. NRC (National Research Council). 2001. Arsenic in Drinking Water: 2001 Update. Washington, DC: National Academy Press. NRC (National Research Council). 2005. Health Implications of Perchlorate Ingestion. Washington, DC: National Academy Press. NRC (National Research Council). 2006. Assessing the Human Health Risks of Tri- chloroethylene: Key Scientific Issues. Washington, DC: The National Academies Press. PCCRARM (Presidential/Congressional Commission on Risk Assessment and Risk Management). 1997. Framework for Environmental Health Risk Management. Vol. 1. Washington, DC: The Commission.

OCR for page 270