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APPLICATION OF VISUAL ANALYTIC TOOLS TO EVALUATE COMPLEX RELATIONSHIPS BETWEEN ENVIRONMENTAL FACTORS AND HEALTH OUTCOMES
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Impact/Purpose:
Improving Linkages in the Source-to-Outcome Paradigm - Advanced Computational Toxicology Approaches to Improve Cumulative Risk Predictions
Description:
Characterizing cumulative risk and understanding the complex relationships between environmental exposures and human health outcomes requires collection and analysis of a wide range of data. Information on the characteristics of multiple stressors (chemical, physical, biological and psychosocial), the characteristics of the human receptor (genetics, health status, life stage, behaviors, social factors, etc.) at multiple levels of organization (individual, community, population), and the temporal and spatial patterns of exposures and outcomes must be combined to assess cumulative risk.
Current approaches for designing studies and evaluating collected data tend to focus on a limited number of environmental factors and/or measures of outcome. As such, it is difficult to understand the potential impacts of the full range of factors on environmental health. More holistic approaches for interrogating this multidimensional data space are required to identify potentially important relationships for further study and analysis. Application of emerging computational tools will allow us to optimize utility of collected data, improve understanding of complex exposure-outcome systems, and improve risk assessment.
Record Details:
Record Type:PROJECTRelated Records:
FRAMEWORK TO USE BIOMONITORING DATA TO INFORM EXPOSURE ASSESSMENT IN CHILDRENRelationship Reason:FRAMEWORK TO USE BIOMONITORING DATA TO INFORM EXPOSURE ASSESSMENT IN CHILDREN144440DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
Predicting Residential Exposure to Phthalate Plasticizer Emitted from Vinyl Flooring: Sensitivity, Uncertainty, and Implications for Biomonitoring
Relationship Reason:Predicting Residential Exposure to Phthalate Plasticizer Emitted from Vinyl Flooring: Sensitivity, Uncertainty, and Implications for Biomonitoring209893DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
Source-to-Dose Modeling of Phthalates: Lessons for Prioritization
Relationship Reason:Source-to-Dose Modeling of Phthalates: Lessons for Prioritization205003DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
Exposure Science and the US EPA National Center for Computational Toxicology
Relationship Reason:Exposure Science and the US EPA National Center for Computational Toxicology198166DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
Mechanistic Indicators of Childhood Asthma (MICA) Study
Relationship Reason:Mechanistic Indicators of Childhood Asthma (MICA) Study198130DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
Exposure to Phthalate Emitted from Vinyl Flooring and Sorbed to Interior Surfaces, Dust, Airborne Particles and Human Skin
Relationship Reason:Exposure to Phthalate Emitted from Vinyl Flooring and Sorbed to Interior Surfaces, Dust, Airborne Particles and Human Skin198065DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
A Balanced Accuracy Fitness Function Leads to Robust Analysis Using Grammatical Evolution Neural Networks in the Case of Class Imbalance
Relationship Reason:A Balanced Accuracy Fitness Function Leads to Robust Analysis Using Grammatical Evolution Neural Networks in the Case of Class Imbalance197963DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
Exposure Considerations for Chemical Prioritization and Toxicity Testing
Relationship Reason:Exposure Considerations for Chemical Prioritization and Toxicity Testing197864DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
Comparing Surface Residue Transfer Efficiencies to Hands Using Polar and Non-Polar Florescent Tracers
Relationship Reason:Comparing Surface Residue Transfer Efficiencies to Hands Using Polar and Non-Polar Florescent Tracers196190DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
Detection and characterization of gene-gene and gene-environment interactions in common human diseases and complex clinical endpoints
Relationship Reason:Detection and characterization of gene-gene and gene-environment interactions in common human diseases and complex clinical endpoints186290DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
Novel methods for detecting epistasis in pharmacogenomics studies
Relationship Reason:Novel methods for detecting epistasis in pharmacogenomics studies186270DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
Evaporative Cooling Feature Selection Identifies Mixed Interaction and Main Effects in SNP Association Study Data
Relationship Reason:Evaporative Cooling Feature Selection Identifies Mixed Interaction and Main Effects in SNP Association Study Data186269DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
EVAPORATIVE COOLING OPTIMIZED FEATURE SELECTION FOR GENOTYPIC DATA INVOLVING INTERACTIONS.
Relationship Reason:EVAPORATIVE COOLING OPTIMIZED FEATURE SELECTION FOR GENOTYPIC DATA INVOLVING INTERACTIONS.169763DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
DETECTION AND CHARACTERIZATION OF GENE-GENE AND GENE-ENVIRONMENT INTERACTIONS IN COMMON HUMAN DISEASES AND COMPLEX CLINICAL ENDPOINTS.
Relationship Reason:DETECTION AND CHARACTERIZATION OF GENE-GENE AND GENE-ENVIRONMENT INTERACTIONS IN COMMON HUMAN DISEASES AND COMPLEX CLINICAL ENDPOINTS.166264DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
A COMPARISON OF ANALYTICAL METHODS FOR GENETIC ASSOCIATION STUDIES.
Relationship Reason:A COMPARISON OF ANALYTICAL METHODS FOR GENETIC ASSOCIATION STUDIES.165303DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
CHARACTERIZING POTENTIAL EXPOSURE PATHWAYS BASED ON PROPERTIES OF RESIDENTIAL CONTAMINANTS.
Relationship Reason:CHARACTERIZING POTENTIAL EXPOSURE PATHWAYS BASED ON PROPERTIES OF RESIDENTIAL CONTAMINANTS. 163824DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
APPLICATION OF PROBABILISTIC APPROACHES TO CHILDREN'S EXPOSURE ESTIMATION.
Relationship Reason:APPLICATION OF PROBABILISTIC APPROACHES TO CHILDREN'S EXPOSURE ESTIMATION.163763DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
VULNERABILITY AS A FUNCTION OF INDIVIDUAL AND GROUP RESOURCES IN CUMULATIVE RISK ASSESSMENT(S)
Relationship Reason:VULNERABILITY AS A FUNCTION OF INDIVIDUAL AND GROUP RESOURCES IN CUMULATIVE RISK ASSESSMENT(S)163747DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
DIFFERENTIAL LUNG GENE EXPRESSION IN IMMUNOLOGICALLY-CHALLENGED RATS EXPOSED TO CONCENTRATED AIRBORNE PARTICULATES.
Relationship Reason:DIFFERENTIAL LUNG GENE EXPRESSION IN IMMUNOLOGICALLY-CHALLENGED RATS EXPOSED TO CONCENTRATED AIRBORNE PARTICULATES.163130DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
LINKAGE DISEQUILIBRIUM IN GENETIC ASSOCIATION STUDIES IMPROVES THE PERFORMANCE OF GRAMMATICAL EVOLUTION NEURAL NETWORKS.
Relationship Reason:LINKAGE DISEQUILIBRIUM IN GENETIC ASSOCIATION STUDIES IMPROVES THE PERFORMANCE OF GRAMMATICAL EVOLUTION NEURAL NETWORKS.163004DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
Exposure Assessment-Fundamentals of Human Health Risk Assessment With A Case Study Approach/Continuing Education Course AM05
Relationship Reason:Exposure Assessment-Fundamentals of Human Health Risk Assessment With A Case Study Approach/Continuing Education Course AM05162768DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
USING BIOMARKERS TO INFORM CUMULATIVE RISK ASSESSMENT
Relationship Reason:USING BIOMARKERS TO INFORM CUMULATIVE RISK ASSESSMENT161663DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
VULNERABILITY AS A FUNCTION OF INDIVIDUAL AND GROUP RESOURCES IN CUMULATIVE RISK ASSESSMENT
Relationship Reason:VULNERABILITY AS A FUNCTION OF INDIVIDUAL AND GROUP RESOURCES IN CUMULATIVE RISK ASSESSMENT157304DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
CUMULATIVE RISK CHARACTERIZATION RESEARCH IN US EPA'S NATIONAL CENTER FOR COMPUTATIONAL TOXICOLOGY.
Relationship Reason:CUMULATIVE RISK CHARACTERIZATION RESEARCH IN US EPA'S NATIONAL CENTER FOR COMPUTATIONAL TOXICOLOGY.156383DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
(ISEA) IDENTIFYING IMPORTANT FACTORS INFLUENCING CHILDREN'S EXPOSURES TO PESTICIDES
Relationship Reason:(ISEA) IDENTIFYING IMPORTANT FACTORS INFLUENCING CHILDREN'S EXPOSURES TO PESTICIDES153984DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
EMISSION OF PHTHALATES FROM POLYMER MATERIALS AND INTERACTION WITH INTEROIR SURFACES
Relationship Reason:EMISSION OF PHTHALATES FROM POLYMER MATERIALS AND INTERACTION WITH INTEROIR SURFACES153983DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
CONCEPTUAL FRAMEWORK FOR CHARACTERIZING TEMPORAL PATTERNS OF EXPOSURE DURING DEVELOPMENT TO ASSESS HEALTH OUTCOMES
Relationship Reason:CONCEPTUAL FRAMEWORK FOR CHARACTERIZING TEMPORAL PATTERNS OF EXPOSURE DURING DEVELOPMENT TO ASSESS HEALTH OUTCOMES153982DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
APPLICATION OF MICRO- AND NANOSCALE SENSOR TECHNOLOGIES FOR MONITORING HUMAN EXPOSURE TO ENVIRONMENTAL CONTAMINANTS
Relationship Reason:APPLICATION OF MICRO- AND NANOSCALE SENSOR TECHNOLOGIES FOR MONITORING HUMAN EXPOSURE TO ENVIRONMENTAL CONTAMINANTS153324DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
USING BIOMONITORING DATA TO INFORM EXPOSURE ASSESSMENT IN CHILDREN
Relationship Reason:USING BIOMONITORING DATA TO INFORM EXPOSURE ASSESSMENT IN CHILDREN152464DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
MEASURING POTENTIAL DERMAL TRANSFER OF A PESTICIDE TO CHILDREN IN A CHILD CARE CENTER
Relationship Reason:MEASURING POTENTIAL DERMAL TRANSFER OF A PESTICIDE TO CHILDREN IN A CHILD CARE CENTER145945DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
CUMULATIVE RISK CHARACTERIZATION RESEARCH IN US EPA’S NATIONAL CENTER FOR COMPUTATIONAL TOXICOLOGY
Relationship Reason:CUMULATIVE RISK CHARACTERIZATION RESEARCH IN US EPA’S NATIONAL CENTER FOR COMPUTATIONAL TOXICOLOGY145851DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
(WISCONSIN) OVERVIEW OF US EPA RESEARCH ACTIVITIES AIMED AT CHARACTERIZING CHILDRENS EXPOSURES
Relationship Reason:(WISCONSIN) OVERVIEW OF US EPA RESEARCH ACTIVITIES AIMED AT CHARACTERIZING CHILDRENS EXPOSURES145843DOCUMENT1.0NONEREVIEWEDPUBLICORDNCCT
Project Information:
Progress :To date some preliminary (and very conceptual) research has been conducted to consider how biomonitoring data can be used to characterize cumulative risk and how psychosocial factors can be incorporated into cumulative risk assessments. In addition, a novel data mining tool is being tested and visual analytic software packages are being evaluated using extant children’s exposure data to identify relationships between exposure factors and body burden for a selected set of chemical agents.Approach :In this project, we plan to use engineering principles to develop conceptual and mathematical models of the human-receptor, source-to-outcome system, and visual analytic tools to address the significant challenges associate with characterizing cumulative risks. First, we will apply a systems approach to develop a human-receptor based conceptual framework. We plan to adapt the strategy for creating conceptual models for complex ecological risk assessments presented by Suter (1999).
We will also identify and evaluate visual analytic tools required to address analysis needs for characterizing multi-factorial relationships between environmental factors and human health outcomes. Visual analytics is a new branch of visualization that merges scientific and information visualization and includes technologies from other fields, including information extraction, knowledge management, and statistical analysis. Visual analytics tools can be developed and applied to represent complex multidimensional data. Large, dynamic and complex data sets containing text, measurements, and images, can be effectively combined to reveal significant relationships and trends and to enhance discovery. Visual analytics can be used for outcome analysis and visualization, to find patterns and subtle relationships in data, and to infer rules that allow predictive analysis to prevent and mitigate environmental disease.
Finally, we will test and demonstrate VA tools using existing available data. We propose doing this demonstration using data from children’s cohort studies to explore the potential of visual analytics to facilitate evaluation of the effects of environmental exposures on child health and development. Another possible demonstration could involve using data collected for a community-based cumulative risk assessment.
Relevance :Across EPA, program and regional offices are being called on to assess cumulative risk resulting from real-world exposures. The Agency is also being required to identify vulnerable populations, characterize life-stage risks, and evaluate gene-environment interactions. Multi-factorial analyses of one form or another are required: to conduct national-scale regulatory-based risk assessments (program offices); to conduct community-based risk screening and remediation (regions and states); to support epidemiology studies investigating gene-environment interactions (interagency); and to characterize exposure and risk for public health tracking (all of the above). The approaches and tools developed through this research will help the Agency meet the increasingly complex needs for cumulative risk assessment. In addition, results of this effort may be used to develop concepts and tools for application to the Detroit Children’s Study, the North Carolina Cohort, and the National Children’s Study.
Project IDs:
ID Code :IIIE-2Project type :Partner Specific