Utilizing Omics Data for Chemical Grouping.

This article explores the use of omics data, such as genomic, transcriptomic, proteomic, and metabolomic data, in chemical grouping and read-across for chemical risk assessment. It explains that traditional approaches to chemical safety rely on in vivo toxicity data, but there is a growing recognition of the need for more mechanistically based approaches that do not involve animal testing. The article introduces non-experts to the concept of grouping and read-across, discusses the value of omics technologies in this context, presents case studies, and identifies challenges and next steps for incorporating omics data into chemical grouping. It also discusses the regulatory landscape and the need for standardized reporting templates. However, it acknowledges that there are limitations to chemical grouping, as structural similarity does not always predict similar biological responses. Overall, the article highlights the potential of omics data in chemical grouping and the need for further research and implementation in this area. [Extracted from the article]