John Wiley & Sons, Ltd.

Omics for aquatic ecotoxicology; Control of extraneous variability to enhance the analysis of environmental effects

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There are multiple sources of biological and technical variation in a typical ecotoxicology study that may not be revealed by traditional endpoints but that become apparent in an omics dataset. As researchers increasingly apply omics technologies to environmental studies, it will be necessary to challenge ourselves to understand and control the main source(s) of variability to facilitate meaningful interpretation of such data. For instance, can variability in omics studies be addressed by changing our approach to study design and data analysis? Are there statistical methods that we can employ to correctly interpret omics data and make use of unattributed, inherent variability? In the present article, we review experimental design and statistical considerations applicable to using omics methods in systems toxicology studies. In addition to highlighting potential sources that contribute to experimental variability, this review suggests strategies with which to reduce and/or control such variability so as to improve reliability, reproducibility, and ultimately the application of omics data for systems toxicology. This article is protected by copyright. All rights reserved

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