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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
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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. |
format | Online Article Text |
id | pubmed-4526797 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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