About the RTEN Center

Our research uses human population data to investigate the impact of environmental mixtures on disease outcomes using innovative study designs, including novel measurement approaches (eg, untargeted high-throughput omics profiling or fine resolution exposure mapping) and integration of data across various exposures and omics biomarkers.

Through translational study design, these human studies are complemented by lab-based experiments designed to discover a mechanistic understanding of the effect of environmental exposures using in vivo or in vitro models. These types of studies will be over-lapping and inter-connected in ways that demand coordinated and integrated evidence-based solutions that utilize ‘big data’ and state of the art analysis methods to identify novel risk factors and associated “precision environmental health”.

This unique translational design improves our ability to identify causal inference, thus, enhancing the certitude with which regulatory agencies could rely on a given study.  The overarching goal of the center is to utilize this comprehensive understanding of exposure risks for informed decision-making, policy change, and protection of human health.