Literature DB >> 21197601

A semi-quantitative approach to GMO risk-benefit analysis.

E Jane Morris1.   

Abstract

In many countries there are increasing calls for the benefits of genetically modified organisms (GMOs) to be considered as well as the risks, and for a risk-benefit analysis to form an integral part of GMO regulatory frameworks. This trend represents a shift away from the strict emphasis on risks, which is encapsulated in the Precautionary Principle that forms the basis for the Cartagena Protocol on Biosafety, and which is reflected in the national legislation of many countries. The introduction of risk-benefit analysis of GMOs would be facilitated if clear methodologies were available to support the analysis. Up to now, methodologies for risk-benefit analysis that would be applicable to the introduction of GMOs have not been well defined. This paper describes a relatively simple semi-quantitative methodology that could be easily applied as a decision support tool, giving particular consideration to the needs of regulators in developing countries where there are limited resources and experience. The application of the methodology is demonstrated using the release of an insect resistant maize variety in South Africa as a case study. The applicability of the method in the South African regulatory system is also discussed, as an example of what might be involved in introducing changes into an existing regulatory process.

Entities:  

Mesh:

Year:  2011        PMID: 21197601     DOI: 10.1007/s11248-010-9480-8

Source DB:  PubMed          Journal:  Transgenic Res        ISSN: 0962-8819            Impact factor:   2.788


  10 in total

1.  How green biotech turned white and blue.

Authors:  Lucas Laursen
Journal:  Nat Biotechnol       Date:  2010-05       Impact factor: 54.908

Review 2.  General principles for risk assessment of living modified organisms: lessons from chemical risk assessment.

Authors:  Ryan A Hill; Cyrie Sendashonga
Journal:  Environ Biosafety Res       Date:  2003 Apr-Jun

3.  Efficacy of rice-based oral rehydration solution containing recombinant human lactoferrin and lysozyme in Peruvian children with acute diarrhea.

Authors:  Nelly Zavaleta; Dante Figueroa; Juan Rivera; Julia Sánchez; Segundo Alfaro; Bo Lönnerdal
Journal:  J Pediatr Gastroenterol Nutr       Date:  2007-02       Impact factor: 2.839

Review 4.  A multidisciplinary approach directed towards the commercial release of transgenic herbicide-tolerant rice in Costa Rica.

Authors:  Ana M Espinoza-Esquivel; Griselda Arrieta-Espinoza
Journal:  Transgenic Res       Date:  2007-07-06       Impact factor: 2.788

Review 5.  The release of genetically modified crops into the environment. Part II. Overview of ecological risk assessment.

Authors:  Anthony J Conner; Travis R Glare; Jan-Peter Nap
Journal:  Plant J       Date:  2003-01       Impact factor: 6.417

Review 6.  Gene flow, invasiveness, and ecological impact of genetically modified crops.

Authors:  Suzanne I Warwick; Hugh J Beckie; Linda M Hall
Journal:  Ann N Y Acad Sci       Date:  2009-06       Impact factor: 5.691

Review 7.  Integration of risk and benefit analysis-the window of benefit as a new tool?

Authors:  Andreu Palou; Catalina Pico; Jaap Keijer
Journal:  Crit Rev Food Sci Nutr       Date:  2009-08       Impact factor: 11.176

8.  GM directive deficiencies in the European Union. The current framework for regulating GM crops in the EU weakens the precautionary principle as a policy tool.

Authors:  Shane H Morris; Charles Spillane
Journal:  EMBO Rep       Date:  2008-06       Impact factor: 8.807

9.  Social benefit versus technological risk.

Authors:  C Starr
Journal:  Science       Date:  1969-09-19       Impact factor: 47.728

10.  Perception of risk.

Authors:  P Slovic
Journal:  Science       Date:  1987-04-17       Impact factor: 47.728

  10 in total
  2 in total

1.  GMOs in animal agriculture: time to consider both costs and benefits in regulatory evaluations.

Authors:  Alison L Van Eenennaam
Journal:  J Anim Sci Biotechnol       Date:  2013-09-25

2.  An exposure pathway-based risk assessment system for GM plants.

Authors:  Yongbo Liu; Charles Neal Stewart
Journal:  Plant Biotechnol J       Date:  2019-05-17       Impact factor: 9.803

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.