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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...

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Autores principales: Kramer, Catherine, Brune, Phil, McDonald, Justin, Nesbitt, Monique, Sauve, Alaina, Storck‐Weyhermueller, Sabine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
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.
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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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