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Evolution of risk assessment strategies for food and feed uses of stacked GM events
Data requirements are not harmonized globally for the regulation of food and feed derived from stacked genetically modified (GM) events, produced by combining individual GM events through conventional breeding. The data required by some regulatory agencies have increased despite the absence of subst...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5071656/ https://www.ncbi.nlm.nih.gov/pubmed/26914314 http://dx.doi.org/10.1111/pbi.12551 |
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author | Kramer, Catherine Brune, Phil McDonald, Justin Nesbitt, Monique Sauve, Alaina Storck‐Weyhermueller, Sabine |
author_facet | Kramer, Catherine Brune, Phil McDonald, Justin Nesbitt, Monique Sauve, Alaina Storck‐Weyhermueller, Sabine |
author_sort | Kramer, Catherine |
collection | PubMed |
description | Data requirements are not harmonized globally for the regulation of food and feed derived from stacked genetically modified (GM) events, produced by combining individual GM events through conventional breeding. The data required by some regulatory agencies have increased despite the absence of substantiated adverse effects to animals or humans from the consumption of GM crops. Data from studies conducted over a 15‐year period for several stacked GM event maize (Zea mays L.) products (Bt11 × GA21, Bt11 × MIR604, MIR604 × GA21, Bt11 × MIR604 × GA21, Bt11 × MIR162 × GA21 and Bt11 × MIR604 × MIR162 × GA21), together with their component single events, are presented. These data provide evidence that no substantial changes in composition, protein expression or insert stability have occurred after combining the single events through conventional breeding. An alternative food and feed risk assessment strategy for stacked GM events is suggested based on a problem formulation approach that utilizes (i) the outcome of the single event risk assessments, and (ii) the potential for interactions in the stack, based on an understanding of the mode of action of the transgenes and their products. |
format | Online Article Text |
id | pubmed-5071656 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-50716562016-11-02 Evolution of risk assessment strategies for food and feed uses of stacked GM events Kramer, Catherine Brune, Phil McDonald, Justin Nesbitt, Monique Sauve, Alaina Storck‐Weyhermueller, Sabine Plant Biotechnol J Research Articles Data requirements are not harmonized globally for the regulation of food and feed derived from stacked genetically modified (GM) events, produced by combining individual GM events through conventional breeding. The data required by some regulatory agencies have increased despite the absence of substantiated adverse effects to animals or humans from the consumption of GM crops. Data from studies conducted over a 15‐year period for several stacked GM event maize (Zea mays L.) products (Bt11 × GA21, Bt11 × MIR604, MIR604 × GA21, Bt11 × MIR604 × GA21, Bt11 × MIR162 × GA21 and Bt11 × MIR604 × MIR162 × GA21), together with their component single events, are presented. These data provide evidence that no substantial changes in composition, protein expression or insert stability have occurred after combining the single events through conventional breeding. An alternative food and feed risk assessment strategy for stacked GM events is suggested based on a problem formulation approach that utilizes (i) the outcome of the single event risk assessments, and (ii) the potential for interactions in the stack, based on an understanding of the mode of action of the transgenes and their products. John Wiley and Sons Inc. 2016-03-28 2016-09 /pmc/articles/PMC5071656/ /pubmed/26914314 http://dx.doi.org/10.1111/pbi.12551 Text en © 2016 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Kramer, Catherine Brune, Phil McDonald, Justin Nesbitt, Monique Sauve, Alaina Storck‐Weyhermueller, Sabine Evolution of risk assessment strategies for food and feed uses of stacked GM events |
title | Evolution of risk assessment strategies for food and feed uses of stacked GM events |
title_full | Evolution of risk assessment strategies for food and feed uses of stacked GM events |
title_fullStr | Evolution of risk assessment strategies for food and feed uses of stacked GM events |
title_full_unstemmed | Evolution of risk assessment strategies for food and feed uses of stacked GM events |
title_short | Evolution of risk assessment strategies for food and feed uses of stacked GM events |
title_sort | evolution of risk assessment strategies for food and feed uses of stacked gm events |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5071656/ https://www.ncbi.nlm.nih.gov/pubmed/26914314 http://dx.doi.org/10.1111/pbi.12551 |
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