Journal article
Community Approaches for Integrating Environmental Exposures into Human Models of Disease
Environmental health perspectives, Vol.128(12), pp.125002-125002
12/2020
DOI: 10.1289/EHP7215
PMCID: PMC7769179
PMID: 33369481
Abstract
A critical challenge in genomic medicine is identifying the genetic and environmental risk factors for disease. Currently, the available data links a majority of known coding human genes to phenotypes, but the environmental component of human disease is extremely underrepresented in these linked data sets. Without environmental exposure information, our ability to realize precision health is limited, even with the promise of modern genomics. Achieving integration of gene, phenotype, and environment will require extensive translation of data into a standard, computable form and the extension of the existing gene/phenotype data model. The data standards and models needed to achieve this integration do not currently exist.
Our objective is to foster development of community-driven data-reporting standards and a computational model that will facilitate the inclusion of exposure data in computational analysis of human disease. To this end, we present a preliminary semantic data model and use cases and competency questions for further community-driven model development and refinement.
There is a real desire by the exposure science, epidemiology, and toxicology communities to use informatics approaches to improve their research workflow, gain new insights, and increase data reuse. Critical to success is the development of a community-driven data model for describing environmental exposures and linking them to existing models of human disease. https://doi.org/10.1289/EHP7215.
Details
- Title: Subtitle
- Community Approaches for Integrating Environmental Exposures into Human Models of Disease
- Creators
- Anne E Thessen - Ronin Institute for Independent Scholarship, Montclair, New Jersey, USACynthia J Grondin - Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USAResham D Kulkarni - Biomedical Informatics and Data Science, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USASusanne Brander - Environmental and Molecular Toxicology, Oregon State University, Corvallis, Oregon, USALisa Truong - Environmental and Molecular Toxicology, Oregon State University, Corvallis, Oregon, USANicole A Vasilevsky - Department of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health & Science University, Portland, Oregon, USATiffany J Callahan - Department of Pharmacology, School of Medicine, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USALauren E Chan - Nutrition, Oregon State University, Corvallis, Oregon, USABrian Westra - University Libraries, University of Iowa, Iowa City, Iowa, USAMary Willis - School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USASarah E Rothenberg - School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USAAnnie M Jarabek - Center for Public Health and Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USALyle Burgoon - U.S. Army Engineering Research and Development Center, Vicksburg, Mississippi, USASusan A Korrick - Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USAMelissa A Haendel - Environmental and Molecular Toxicology, Oregon State University, Corvallis, Oregon, USA
- Resource Type
- Journal article
- Publication Details
- Environmental health perspectives, Vol.128(12), pp.125002-125002
- Publisher
- United States
- DOI
- 10.1289/EHP7215
- PMID
- 33369481
- PMCID
- PMC7769179
- ISSN
- 0091-6765
- eISSN
- 1552-9924
- Grant note
- R01 ES014065 / NIEHS NIH HHS U13 CA221044 / NCI NIH HHS
- Language
- English
- Date published
- 12/2020
- Academic Unit
- Humanities and Social Sciences/Scholarly Impact
- Record Identifier
- 9984067698602771
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