Use of epidemiologic data in Integrated Risk Information System (IRIS) assessments.

Abstract

In human health risk assessment, information from epidemiologic studies is typically utilized in the hazard identification step of the risk assessment paradigm. However, in the assessment of many chemicals by the Integrated Risk Information System (IRIS), epidemiologic data, both observational and experimental, have also been used in the derivation of toxicological risk estimates (i.e., reference doses [RfD], reference concentrations [RfC], oral cancer slope factors [CSF] and inhalation unit risks [IUR]). Of the 545 health assessments posted on the IRIS database as of June 2007, 44 assessments derived non-cancer or cancer risk estimates based on human data. RfD and RfC calculations were based on a spectrum of endpoints from changes in enzyme activity to specific neurological or dermal effects. There are 12 assessments with IURs based on human data, two assessments that extrapolated human inhalation data to derive CSFs and one that used human data to directly derive a CSF. Lung or respiratory cancer is the most common endpoint for cancer assessments based on human data. To date, only one chemical, benzene, has utilized human data for derivation of all three quantitative risk estimates (i.e., RfC, RfD, and dose-response modeling for cancer assessment). Through examples from the IRIS database, this paper will demonstrate how epidemiologic data have been used in IRIS assessments for both adding to the body of evidence in the hazard identification process and in the quantification of risk estimates in the dose-response component of the risk assessment paradigm.

• Authors: Amanda S Persad, Glinda S Cooper
• Journal: Toxicology and applied pharmacology (Toxicol Appl Pharmacol) Vol. 233 Issue 1 Pg. 137-45 (Nov 15 2008) ISSN: 1096-0333 [Electronic] United States
• PMID: 18329062 (Publication Type: Journal Article)

Topics

• Animals
• Database Management Systems (standards, statistics & numerical data)
• Databases, Factual (standards, statistics & numerical data)
• Humans
• Information Systems (standards, statistics & numerical data)
• Integrated Advanced Information Management Systems (standards, statistics & numerical data)
• Risk Assessment
• Systems Integration