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A UK framework for the assessment and integration of different scientific evidence streams in chemical risk assessmentt

Doerr, B. ORCID:, Botham, P., Clare, G., Gott, D., Gowers, A., Guercio, V., Kuhnle, G. ORCID:, Loizou, G., Lovell, D. P., Pearce, N., Rushton, L., Toledano, M., Wallace, H. M. and Boobis, A. R. (2024) A UK framework for the assessment and integration of different scientific evidence streams in chemical risk assessmentt. Regulatory Toxicology and Pharmacology, 151. 105652. ISSN 0273-2300

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To link to this item DOI: 10.1016/j.yrtph.2024.105652


Background Few methods are available for transparently combining different evidence streams for chemical risk assessment to reach an integrated conclusion on the probability of causation. Hence, the UK Committees on Toxicity (COT) and on Carcinogenicity (COC) have reviewed current practice and developed guidance on how to achieve this in a transparent manner, using graphical visualisation. Methods/approach All lines of evidence, including toxicological, epidemiological, new approach methodologies, and mode of action should be considered, taking account of their strengths/weaknesses in their relative weighting towards a conclusion on the probability of causation. A qualitative estimate of the probability of causation is plotted for each line of evidence and a combined estimate provided. Discussion/conclusions Guidance is provided on integration of multiple lines of evidence for causation, based on current best practice. Qualitative estimates of probability for each line of evidence are plotted graphically. This ensures a deliberative, consensus conclusion on likelihood of causation is reached. It also ensures clear communication of the influence of the different lines of evidence on the overall conclusion on causality. Issues on which advice from the respective Committees is sought varies considerably, hence the guidance is designed to be sufficiently flexible to meet this need.

Item Type:Article
Divisions:Life Sciences > School of Chemistry, Food and Pharmacy > Department of Food and Nutritional Sciences > Human Nutrition Research Group
ID Code:116743

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