Affiliation: Gillings School of Global Public Health, Department of Environmental Sciences and Engineering
The Adverse Outcome Pathway (AOP) framework connects molecular perturbations with organism and population level endpoints used for regulatory decision-making by providing a conceptual construct of the mechanistic basis for toxicity. Development of an AOP typically begins with the adverse outcome, and intermediate effects connect the outcome with a molecular initiating event amenable to high-throughput toxicity testing (HTT). Publicly available controlled vocabularies were used to provide terminology supporting AOP’s at all levels of biological organization. The resulting data model contains terms from 22 ontologies and controlled vocabularies annotating currently existing AOP’s. The model provides the ability to attach evidence in support of the AOP, supports data aggregation, and promotes the development of AOP networks. Long term, this structured description of the AOP will enable logical reasoning for hazard identification and for dose-response assessment. Case studies showcase how the model informs AOP development in the context of chemical risk assessment.