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Published on: October 13, 2023
A Biomedical Knowledge Graph System to Propose Mechanistic Hypotheses for Real-World Environmental Health
Karamarie Fecho1,2, Chris Bizon1, Frederick Miller3
1Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
The Reasoning Over Biomedical Objects linked in Knowledge Oriented Pathways (ROBOKOP) system validated associations between workplace exposures and immune-mediated diseases. ROBOKOP generated mechanistic hypotheses for these links, aiding scientific discovery.
Area of Science:
- Biomedical Informatics
- Environmental Health
- Immunology
Background:
- Knowledge graphs are crucial for representing biomedical information.
- The Reasoning Over Biomedical Objects linked in Knowledge Oriented Pathways (ROBOKOP) is an open system with a user interface and a large knowledge graph.
- ROBOKOP integrates data from over 30 sources, comprising approximately 6 million nodes and 140 million edges.
Purpose of the Study:
- To apply ROBOKOP to survey data from the Environmental Polymorphisms Registry (EPR).
- To investigate associations between workplace exposures and immune-mediated diseases.
Main Methods:
- Analyzed EPR survey data from 4574 participants, identifying 45 associations between chemical exposures and self-reported immune-mediated diseases.
- Utilized ROBOKOP to validate these associations and propose potential biological mechanisms.
- Focused on three exemplar associations: carbon monoxide-multiple sclerosis, ammonia-asthma, and isopropanol-allergic disease.
Main Results:
- ROBOKOP successfully generated answer sets for queries related to the exemplar associations.
- The system identified potential intermediary genes and supporting evidence for the observed links.
- ROBOKOP demonstrated its capability to validate and explain complex biological associations.
Conclusions:
- ROBOKOP effectively generates mechanistic hypotheses for associations between workplace exposures and immune-mediated diseases.
- The system's generalizability, speed, and hypothesis-generation capabilities suggest broad applicability in biomedical research and other scientific fields.
- ROBOKOP facilitates discovery and mechanistic understanding in complex biological systems.
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