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Building Better Environmental Risk Assessments

Risk assessment is a reasoned, structured approach to address uncertainty based on scientific and technical evidence. It forms the foundation for regulatory decision-making, which is bound by legislative and policy requirements, as well as the need for making timely decisions using available resourc...

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Autores principales: Layton, Raymond, Smith, Joe, Macdonald, Phil, Letchumanan, Ramatha, Keese, Paul, Lema, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4526797/
https://www.ncbi.nlm.nih.gov/pubmed/26301217
http://dx.doi.org/10.3389/fbioe.2015.00110
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author Layton, Raymond
Smith, Joe
Macdonald, Phil
Letchumanan, Ramatha
Keese, Paul
Lema, Martin
author_facet Layton, Raymond
Smith, Joe
Macdonald, Phil
Letchumanan, Ramatha
Keese, Paul
Lema, Martin
author_sort Layton, Raymond
collection PubMed
description Risk assessment is a reasoned, structured approach to address uncertainty based on scientific and technical evidence. It forms the foundation for regulatory decision-making, which is bound by legislative and policy requirements, as well as the need for making timely decisions using available resources. In order to be most useful, environmental risk assessments (ERAs) for genetically modified (GM) crops should provide consistent, reliable, and transparent results across all types of GM crops, traits, and environments. The assessments must also separate essential information from scientific or agronomic data of marginal relevance or value for evaluating risk and complete the assessment in a timely fashion. Challenges in conducting ERAs differ across regulatory systems – examples are presented from Canada, Malaysia, and Argentina. One challenge faced across the globe is the conduct of risk assessments with limited resources. This challenge can be overcome by clarifying risk concepts, placing greater emphasis on data critical to assess environmental risk (for example, phenotypic and plant performance data rather than molecular data), and adapting advances in risk analysis from other relevant disciplines.
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spelling pubmed-45267972015-08-21 Building Better Environmental Risk Assessments Layton, Raymond Smith, Joe Macdonald, Phil Letchumanan, Ramatha Keese, Paul Lema, Martin Front Bioeng Biotechnol Bioengineering and Biotechnology Risk assessment is a reasoned, structured approach to address uncertainty based on scientific and technical evidence. It forms the foundation for regulatory decision-making, which is bound by legislative and policy requirements, as well as the need for making timely decisions using available resources. In order to be most useful, environmental risk assessments (ERAs) for genetically modified (GM) crops should provide consistent, reliable, and transparent results across all types of GM crops, traits, and environments. The assessments must also separate essential information from scientific or agronomic data of marginal relevance or value for evaluating risk and complete the assessment in a timely fashion. Challenges in conducting ERAs differ across regulatory systems – examples are presented from Canada, Malaysia, and Argentina. One challenge faced across the globe is the conduct of risk assessments with limited resources. This challenge can be overcome by clarifying risk concepts, placing greater emphasis on data critical to assess environmental risk (for example, phenotypic and plant performance data rather than molecular data), and adapting advances in risk analysis from other relevant disciplines. Frontiers Media S.A. 2015-08-06 /pmc/articles/PMC4526797/ /pubmed/26301217 http://dx.doi.org/10.3389/fbioe.2015.00110 Text en Copyright © 2015 Layton, Smith, Macdonald, Letchumanan, Keese and Lema. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Layton, Raymond
Smith, Joe
Macdonald, Phil
Letchumanan, Ramatha
Keese, Paul
Lema, Martin
Building Better Environmental Risk Assessments
title Building Better Environmental Risk Assessments
title_full Building Better Environmental Risk Assessments
title_fullStr Building Better Environmental Risk Assessments
title_full_unstemmed Building Better Environmental Risk Assessments
title_short Building Better Environmental Risk Assessments
title_sort building better environmental risk assessments
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4526797/
https://www.ncbi.nlm.nih.gov/pubmed/26301217
http://dx.doi.org/10.3389/fbioe.2015.00110
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