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Title: Integrating omic technologies into aquatic ecological risk assessment and environmental monitoring: hurdles, achievements, and future outlook.

Authors: Van Aggelen, Graham; Ankley, Gerald T; Baldwin, William S; Bearden, Daniel W; Benson, William H; Chipman, J Kevin; Collette, Tim W; Craft, John A; Denslow, Nancy D; Embry, Michael R; Falciani, Francesco; George, Stephen G; Helbing, Caren C; Hoekstra, Paul F; Iguchi, Taisen; Kagami, Yoshi; Katsiadaki, Ioanna; Kille, Peter; Liu, Li; Lord, Peter G; McIntyre, Terry; O'Neill, Anne; Osachoff, Heather; Perkins, Ed J; Santos, Eduarda M; Skirrow, Rachel C; Snape, Jason R; Tyler, Charles R; Versteeg, Don; Viant, Mark R; Volz, David C; Williams, Tim D; Yu, Lorraine

Published In Environ Health Perspect, (2010 Jan)

Abstract: In this commentary we present the findings from an international consortium on fish toxicogenomics sponsored by the U.K. Natural Environment Research Council (Fish Toxicogenomics-Moving into Regulation and Monitoring, held 21-23 April 2008 at the Pacific Environmental Science Centre, Vancouver, BC, Canada).The consortium from government agencies, academia, and industry addressed three topics: progress in ecotoxicogenomics, regulatory perspectives on roadblocks for practical implementation of toxicogenomics into risk assessment, and dealing with variability in data sets.Participants noted that examples of successful application of omic technologies have been identified, but critical studies are needed to relate molecular changes to ecological adverse outcome. Participants made recommendations for the management of technical and biological variation. They also stressed the need for enhanced interdisciplinary training and communication as well as considerable investment into the generation and curation of appropriate reference omic data.The participants concluded that, although there are hurdles to pass on the road to regulatory acceptance, omics technologies are already useful for elucidating modes of action of toxicants and can contribute to the risk assessment process as part of a weight-of-evidence approach.

PubMed ID: 20056575 Exiting the NIEHS site

MeSH Terms: No MeSH terms associated with this publication

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