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Journal Articles Environmental Health Perspectives Year : 2016

The next generation of risk assessment multi-year study-highlights of findings, applications to risk assessment, and future directions

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Ila Cote
  • Function : Author
Melvin E. Andersen
  • Function : Author
Gerald Ankley
  • Function : Author
Stanley Barone
  • Function : Author
Linda Birnbaum
  • Function : Author
Kim Boekelheide
  • Function : Author
Lyle D. Burgoon
  • Function : Author
Weihsueh A. Chiu
  • Function : Author
Douglas Crawford-Brown
  • Function : Author
Kevin Crofton
  • Function : Author
Michael Devito
  • Function : Author
Robert B. Devlin
  • Function : Author
Stephen W. Edwards
  • Function : Author
Dale B. Hattis
  • Function : Author
Richard S. Judson
  • Function : Author
Derek Knight
  • Function : Author
Daniel Krewski
  • Function : Author
Jason Lambert
  • Function : Author
Elizabeth Anne Maull
  • Function : Author
Donna Mendrick
  • Function : Author
Gregory M. Paoli
  • Function : Author
Chirag Jagdish Patel
  • Function : Author
Edward J. Perkins
  • Function : Author
Gerald Poje
  • Function : Author
Christopher J. Portier
  • Function : Author
Ivan Rusyn
  • Function : Author
Paul A. Schulte
  • Function : Author
Anton Simeonov
  • Function : Author
Martyn T. Smith
  • Function : Author
  • PersonId : 1035931
Kristina A. Thayer
  • Function : Author
Russell S. Thomas
  • Function : Author
Reuben Thomas
  • Function : Author
Raymond R. Tice
  • Function : Author
John Vandenberg
  • Function : Author
Daniel L. Villeneuve
  • Function : Author
Scott Wesselkamper
  • Function : Author
Christine Whittaker
  • Function : Author
Ronald White
  • Function : Author
Menghang Xia
  • Function : Author
Carole Yauk
  • Function : Author
Lauren Zeise
  • Function : Author
Jay Zhao
  • Function : Author
Robert S. Dewoskin
  • Function : Author

Abstract

Background : The Next Generation (NexGen) of Risk Assessment effort is a multi-year collaboration among several organizations evaluating new, potentially more efficient molecular, computational, and systems biology approaches to risk assessment. This article 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.
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ineris-01863108 , version 1 (28-08-2018)

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Ila Cote, Melvin E. Andersen, Gerald Ankley, Stanley Barone, Linda Birnbaum, et al.. The next generation of risk assessment multi-year study-highlights of findings, applications to risk assessment, and future directions. Environmental Health Perspectives, 2016, 124 (11), pp.1671-1682. ⟨10.1289/EHP233⟩. ⟨ineris-01863108⟩

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