The Next Generation of Risk Assessment Multiyear Study- Highlights of Findings, Applications to Risk Assessment and Future Directions.

Paradigms and Technologies
Methods Development


BACKGROUND: The Next Generation (NexGen) of Risk Assessment effort is a multiyear collaboration among several organizations evaluating new, potentially more efficient molecular, computational and systems biology approaches to risk assessment. This paper summarizes our findings, suggests applications to risk assessment, and identifies strategic research directions. OBJECTIVE: Our specific objectives were to test whether advanced biological data and methods could better inform our understanding of public health risks posed by environmental exposures. METHODS: New data and methods were applied and evaluated for use in hazard identification and dose-response assessment. Biomarkers of exposure and effect, and risk characterization were also examined. Consideration was given to various decision contexts with increasing regulatory and public health impacts. Data types included transcriptomics, genomics, and proteomics; methods included molecular epidemiology and clinical studies, bioinformatic knowledge mining, pathway and network analyses, short-duration in vivo and in vitro bioassays, and quantitative structure activity relationship modeling. DISCUSSION: NexGen has advanced our ability to apply new science by more rapidly identifying chemicals and exposures of potential concern, helping characterize mechanisms of action that influence conclusions about causality, exposure-response relationships, susceptibility and cumulative risk, and by elucidating new biomarkers of exposure and effects. Additionally, NexGen has fostered extensive discussion among risk scientists and managers and improved confidence in interpreting and applying new data streams. CONCLUSIONS: While considerable uncertainties remain, thoughtful application of new knowledge to risk assessment appears reasonable for augmenting major scope assessments, forming the basis for or augmenting limited scope assessments, and for prioritization and screening of very data limited chemicals.


Cote, Ila; Andersen, Melvin E; Ankley, Gerald T; Barone, Stanley; Birnbaum, Linda S; Boekelheide, Kim; Bois, Frederic Y; Burgoon, Lyle D; Chiu, Weihsueh A; Crawford-Brown, Douglas; Crofton, Kevin M; DeVito, Michael; Devlin, Robert B; Edwards, Stephen W; Guyton, Kathryn Z; Hattis, Dale; Judson, Richard S; Knight, Derek; Krewski, Daniel; Lambert, Jason; Maull, Elizabeth Anne; Mendrick, Donna; Paoli, Gregory M; Patel, Chirag Jagdish; Perkins, Edward J; Poje, Gerald; Portier, Christopher J; Rusyn, Ivan; Schulte, Paul A; Simeonov, Anton; Smith, Martyn T; Thayer, Kristina A; Thomas, Russell S; Thomas, Reuben; Tice, Raymond R; Vandenberg, John J; Villeneuve, Daniel L; Wesselkamper, Scott; Whelan, Maurice; Whittaker, Christine; White, Ronald; Xia, Menghang; Yauk, Carole; Zeise, Lauren; Zhao, Jay; DeWoskin, Robert S;

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