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t(4) report: Toward Good Read-Across Practice (GRAP) Guidance

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)...

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Autores principales: Ball, Nicholas, Cronin, Mark T. D., Shen, Jie, Blackburn, Karen, Booth, Ewan D., Bouhifd, Mounir, Donley, Elizabeth, Egnash, Laura, Hastings, Charles, Juberg, Daland R., Kleensang, Andre, Kleinstreuer, Nicole, Kroese, E. Dinant, Lee, Adam C., Luechtefeld, Thomas, Maertens, Alexandra, Marty, Sue, Naciff, Jorge M., Palmer, Jessica, Pamies, David, Penman, Mike, Richarz, Andrea-Nicole, Russo, Daniel P., Stuard, Sharon B., Patlewicz, Grace, van Ravenzwaay, Bennard, Wu, Shengde, Zhu, Hao, Hartung, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5581000/
https://www.ncbi.nlm.nih.gov/pubmed/26863606
http://dx.doi.org/10.14573/altex.1601251
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author Ball, Nicholas
Cronin, Mark T. D.
Shen, Jie
Blackburn, Karen
Booth, Ewan D.
Bouhifd, Mounir
Donley, Elizabeth
Egnash, Laura
Hastings, Charles
Juberg, Daland R.
Kleensang, Andre
Kleinstreuer, Nicole
Kroese, E. Dinant
Lee, Adam C.
Luechtefeld, Thomas
Maertens, Alexandra
Marty, Sue
Naciff, Jorge M.
Palmer, Jessica
Pamies, David
Penman, Mike
Richarz, Andrea-Nicole
Russo, Daniel P.
Stuard, Sharon B.
Patlewicz, Grace
van Ravenzwaay, Bennard
Wu, Shengde
Zhu, Hao
Hartung, Thomas
author_facet Ball, Nicholas
Cronin, Mark T. D.
Shen, Jie
Blackburn, Karen
Booth, Ewan D.
Bouhifd, Mounir
Donley, Elizabeth
Egnash, Laura
Hastings, Charles
Juberg, Daland R.
Kleensang, Andre
Kleinstreuer, Nicole
Kroese, E. Dinant
Lee, Adam C.
Luechtefeld, Thomas
Maertens, Alexandra
Marty, Sue
Naciff, Jorge M.
Palmer, Jessica
Pamies, David
Penman, Mike
Richarz, Andrea-Nicole
Russo, Daniel P.
Stuard, Sharon B.
Patlewicz, Grace
van Ravenzwaay, Bennard
Wu, Shengde
Zhu, Hao
Hartung, Thomas
author_sort Ball, Nicholas
collection PubMed
description 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.
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spelling pubmed-55810002017-09-01 t(4) report: Toward Good Read-Across Practice (GRAP) Guidance Ball, Nicholas Cronin, Mark T. D. Shen, Jie Blackburn, Karen Booth, Ewan D. Bouhifd, Mounir Donley, Elizabeth Egnash, Laura Hastings, Charles Juberg, Daland R. Kleensang, Andre Kleinstreuer, Nicole Kroese, E. Dinant Lee, Adam C. Luechtefeld, Thomas Maertens, Alexandra Marty, Sue Naciff, Jorge M. Palmer, Jessica Pamies, David Penman, Mike Richarz, Andrea-Nicole Russo, Daniel P. Stuard, Sharon B. Patlewicz, Grace van Ravenzwaay, Bennard Wu, Shengde Zhu, Hao Hartung, Thomas ALTEX Article 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. 2016-02-11 2016 /pmc/articles/PMC5581000/ /pubmed/26863606 http://dx.doi.org/10.14573/altex.1601251 Text en This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is appropriately cited.
spellingShingle Article
Ball, Nicholas
Cronin, Mark T. D.
Shen, Jie
Blackburn, Karen
Booth, Ewan D.
Bouhifd, Mounir
Donley, Elizabeth
Egnash, Laura
Hastings, Charles
Juberg, Daland R.
Kleensang, Andre
Kleinstreuer, Nicole
Kroese, E. Dinant
Lee, Adam C.
Luechtefeld, Thomas
Maertens, Alexandra
Marty, Sue
Naciff, Jorge M.
Palmer, Jessica
Pamies, David
Penman, Mike
Richarz, Andrea-Nicole
Russo, Daniel P.
Stuard, Sharon B.
Patlewicz, Grace
van Ravenzwaay, Bennard
Wu, Shengde
Zhu, Hao
Hartung, Thomas
t(4) report: Toward Good Read-Across Practice (GRAP) Guidance
title t(4) report: Toward Good Read-Across Practice (GRAP) Guidance
title_full t(4) report: Toward Good Read-Across Practice (GRAP) Guidance
title_fullStr t(4) report: Toward Good Read-Across Practice (GRAP) Guidance
title_full_unstemmed t(4) report: Toward Good Read-Across Practice (GRAP) Guidance
title_short t(4) report: Toward Good Read-Across Practice (GRAP) Guidance
title_sort t(4) report: toward good read-across practice (grap) guidance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5581000/
https://www.ncbi.nlm.nih.gov/pubmed/26863606
http://dx.doi.org/10.14573/altex.1601251
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