Toward good read-across practice (GRAP) guidance

Nicholas Ball, Mark T D Cronin, Jie Shen, Karen Blackburn, Ewan D. Booth, Mounir Bouhifd, Elizabeth Donley, Laura Egnash, Charles Hastings, Daland R. Juberg, Andre Kleensang, Nicole Kleinstreuer, E. Dinant Kroese, Adam C. Lee, Thomas Luechtefeld, Alexandra Maertens, Sue Marty, Jorge M. Naciff, Jessica Palmer, David PamiesMike Penman, Andrea Nicole Richarz, Daniel P. Russo, Sharon B. Stuard, Grace Patlewicz, Bennard Van Ravenzwaay, Shengde Wu, Hao Zhu, Thomas Hartung

Research output: Contribution to journalArticle

Abstract

Grouping of substances and utilizing read-across of data within those groups represents an important data gap filling technique for chemical safety assessments. Categories/analogue groups are typically developed based on structural similarity and, increasingly often, also on mechanistic (biological) similarity. While read-across can play a key role in complying with legislation such as the European REACH regulation, the lack of consensus regarding the extent and type of evidence necessary to support it often hampers its successful application and acceptance by regulatory authorities. Despite a potentially broad user community, expertise is still concentrated across a handful of organizations and individuals. In order to facilitate the effective use of read-across, this document presents the state of the art, summarizes insights learned from reviewing ECHA published decisions regarding the relative successes/pitfalls surrounding read-across under REACH, and compiles the relevant activities and guidance documents. Special emphasis is given to the available existing tools and approaches, an analysis of ECHA's published final decisions associated with all levels of compliance checks and testing proposals, the consideration and expression of uncertainty, the use of biological support data, and the impact of the ECHA Read-Across Assessment Framework (RAAF) published in 2015.

Original languageEnglish (US)
Pages (from-to)149-166
Number of pages18
JournalAltex
Volume33
Issue number2
DOIs
Publication statusPublished - 2016

    Fingerprint

Keywords

  • Chemical similarity
  • Computational toxicology
  • Hazard assessment
  • Read-across
  • Uncertainty

ASJC Scopus subject areas

  • Medical Laboratory Technology
  • Pharmacology

Cite this

Ball, N., Cronin, M. T. D., Shen, J., Blackburn, K., Booth, E. D., Bouhifd, M., ... Hartung, T. (2016). Toward good read-across practice (GRAP) guidance. Altex, 33(2), 149-166. https://doi.org/10.14573/altex.1601251