ArticleEnvironmental health perspectives2020
Community Approaches for Integrating Environmental Exposures into Human Models of Disease.
Article in Environmental health perspectives, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Invited Perspective: Drilling Down into the Mechanisms Linking Oil and Gas Development to Adverse Perinatal Health Outcomes.Environmental health perspectives · 2024Article
- Transforming environmental health datasets from the comparative toxicogenomics database into chord diagrams to visualize molecular mechanisms.Frontiers in toxicology · 2024Article
- CTD tetramers: a new online tool that computationally links curated chemicals, genes, phenotypes, and diseases to inform molecular mechanisms for environmental health.Toxicological sciences : an official journal of the Society of Toxicology · 2023Article
- Modeling the enigma of complex disease etiology.Journal of translational medicine · 2023Article
- The Environmental Conditions, Treatments, and Exposures Ontology (ECTO): connecting toxicology and exposure to human health and beyond.Journal of biomedical semantics · 2023Article
- Workshop Report: Catalyzing Knowledge-Driven Discovery in Environmental Health Sciences through a Harmonized Language.International journal of environmental research and public health · 2023Article
- Comparative Toxicogenomics Database (CTD): update 2023.Nucleic acids research · 2023Article
- High Resolution and Spatiotemporal Place-Based Computable Exposures at Scale.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023Article
- Novel Insights into The Roles of NInternational journal of biological sciences · 2023Review
- Implementation of Zebrafish Ontologies for Toxicology Screening.Frontiers in toxicology · 2022Article
- Catalyzing Knowledge-Driven Discovery in Environmental Health Sciences through a Community-Driven Harmonized Language.International journal of environmental research and public health · 2021Article
- Why and how to engage expert stakeholders in ontology development: insights from social and behavioural sciences.Journal of biomedical semantics · 2021Review
- CTD Anatomy: analyzing chemical-induced phenotypes and exposures from an anatomical perspective, with implications for environmental health studies.Current research in toxicology · 2021Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
backgroundA 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.
objectivesOur 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. DISCUSSION: 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.