Final Program - Society for Risk Analysis

any point in the food chain. The five modules are animal exposure, animal pharmacokinetics,processing, human consumption, and comparison values. The first modulewill calculate total chemical doses from multiple exposure pathways for cattle, swine,and poultry. The animal pharmacokinetics module estimates the chemical distributionamong the animals’ edible tissues, based on the dose received and the physicaland metabolic characteristics of the chemical. Tissue concentrations and commonproduction practices are used by the processing module to predict contaminantconcentrations in various retail products. The module can also incorporate in-plantcontamination or data from residue testing of products. The human consumptionmodule uses NHANES data to estimate human exposure from contaminated product.Finally, the exposure is compared to available reference doses or other regulatoryand public health exposure limits. The modules are being developed simultaneouslyby USDA scientists, some in cooperation with external partners, and are connectedand integrated within a novel risk evaluation framework. This model is flexible, allowingfor either a full, farm-to-fork analysis, or a streamlined analysis, using onlythe relevant modules, if contamination is detected during processing. These modelshave wide application, from a strategic tiered approach, to evaluating a wide array ofchemical residues, to guiding laboratory detection and risk management decisionsduring chemical incidents.M3-C.2 Donadue D; woodley.dd@gmail.comUniversity of MaineLET THE DATA SPEAK: EXTRAPOLATING INFORMATION FORBIOTHREATSAs the US Army Public Health Command (USAPHC) establishes BiologicalMilitary Exposure Guidelines (BMEGs) many different types of data are examined,notably scientific data for predicting dose-response relationships for adverse healtheffects in humans. Typically biological agent data are sparse and extrapolation fromthose animal data is fraught with both variability and uncertainty. Published data setson pneumonic tularemia were of particular interest to USAPHC due to rich, but confounded,datasets for diverse primates including human volunteers. These datasetswere studied using neural networks and other statistical modeling techniques. Datawere examined using statistical techniques to provide some guidance on the uncertaintybounds for estimates when developing interspecies scaling for dose-responsemodels. As expected, uncertainty and variability are overwhelming in these models,and mechanistic knowledge for biologically-based scaling is fragmentary. The informationgleaned from this study will inform the USAPHC as BMEGs are establishedand updated and high priority research needs are identified for reducing uncertaintyin predictions for likelihood and severity of illness in humans.90P.19 Dopchiz LP, Martin P, Michieli JL, Demichelis SO; sandrademichelis@yahoo.comUniversity John F. Kennedy of Argentina, National University of La PlataANALYSIS OF COASTAL POLLUTION: LOOKING FOR WATER QUAL-ITY INDEX WHICH CORRELATES PHYSICOCHEMICAL PARAM-ETERS AND BIOMARKERS IN NATIVE AQUATIC PLANTS USED ASSENTINELSThe goal of the present project is to characterize the coastal pollution and itspossible effect on the biota along a thousand km of coast from navigable rivers DelPlata Basin in the second from the continent It receives effluents from 128.718.445inhabitants. Their waters arrive at the sea through Río de la Plata river The goal ofthe present project is to characterize the coastal pollution and its possible effect on thebiota along a thousand km of coast from navigable rivers. In this sense surface water,sediments and vegetation samples from several localities were analyzed. Echinodorusuruguayensis Arechav. (Alismataceae), Eichornia crasipes (Mart.) Solms (Pontederiaceae),Pistia statiotes L. (Araceae), Scirpus giganteus Kunth (Cyperaceae) were usedand some biomarkers were considered. Chromosome count, characterization as wellas Mitotic Index were analyzed. Pistia statiotes showed 2n= 28; the Mitotic Indexcalculated as (IM= nro total of cells in divivsión x 100/nro total of observed cells) remainunder (MI= 1) and abnormalities were not recorded. The chromosomal countsin Eichornia crassipes was 2n=32 whereas in Scirpus giganteus Kunth (Cyperaceae)2n ca.= 28 without any previous publication. The IM in both cases were very under(IM ca.=1). Abnormalities in the studied localities of both species were not registeredeither. Nevertheless, Echinodorus uruguayensis, with 2n= 22 informed for the firsttime, presented an outstanding rank of anomalies in the analyzed locality (anaphasesdiagonals, prophases disorganized, metaphases disorganized, c metaphases). The occurrenceof spontaneous clastogenic and aneugenic effects in species of some localitiescontrasts with the absence of them in others areas. Other cytogenetic biomarkersare under study. This information compared with physicochemical characterizationof water were included in multivariate analysis in order to adequate water quality indexesto Del Plata basin and estimate risk associated to human activitiesP.65 Dourson ML, Haber LT, Maier A, Reichard J, Abraham IM; Dourson@tera.orgTERAUSE OF GENOMICS DATA AND OTHER EARLY EFFECT BIOMARK-ERS IN RISK ASSESSMENT: OPPORTUNITIES AND CHALLENGESSignificant research is ongoing developing and validating high- and mediumthroughputmethods as an enhancement of traditional toxicology testing. This burgeoningeffort suggests the need for equivalent effort to develop risk assessmentmethods for the meaningful application of such data. This project outlines key risk