The challenge of the application of 'omics technologies in chemicals risk assessment: Background and outlook

Regul Toxicol Pharmacol. 2017 Dec:91 Suppl 1:S14-S26. doi: 10.1016/j.yrtph.2017.09.020. Epub 2017 Sep 18.

Abstract

This survey by the European Centre for Ecotoxicology and Toxicology of Chemicals (ECETOC) highlights that 'omics technologies are generally not yet applied to meet standard information requirements during regulatory hazard assessment. While they are used within weight-of-evidence approaches to investigate substances' modes-of-action, consistent approaches for the generation, processing and interpretation of 'omics data are not applied. To date, no 'omics technology has been standardised or validated. Best practices for performing 'omics studies for regulatory purposes (e.g., microarrays for transcriptome profiling) remain to be established. Therefore, three frameworks for (i) establishing a Good-Laboratory Practice-like context for collecting, storing and curating 'omics data; (ii) 'omics data processing; and (iii) quantitative WoE approaches to interpret 'omics data have been developed, that are presented in this journal supplement. Application of the frameworks will enable between-study comparison of results, which will facilitate the regulatory applicability of 'omics data. The frameworks do not constitute prescriptive protocols precluding any other data analysis method, but provide a baseline for analysis that can be applied to all data allowing ready cross-comparison. Data analysis that does not follow the frameworks can be justified and the resulting data can be compared with the Framework-based common analysis output.

Keywords: Hazard assessment; Omics; Plant protection products; Registration, Evaluation, Authorisation, and Restriction (REACH); Regulatory toxicology; Test method standardisation; Test method validation; Transcriptomics; Weight-of-evidence.

Publication types

  • Review

MeSH terms

  • Animals
  • Ecotoxicology / methods*
  • Ecotoxicology / trends
  • Genomics / methods*
  • Genomics / trends
  • Humans
  • Metabolomics / methods*
  • Metabolomics / trends
  • Proteomics / methods*
  • Proteomics / trends
  • Risk Assessment
  • Statistics as Topic / methods
  • Statistics as Topic / trends