Literature DB >> 23160540

Putting problem formulation at the forefront of GMO risk analysis.

Mark Tepfer1, Monica Racovita, Wendy Craig.   

Abstract

When applying risk assessment and the broader process of risk analysis to decisions regarding the dissemination of genetically modified organisms (GMOs), the process has a tendency to become remarkably complex. Further, as greater numbers of countries consider authorising the large-scale dissemination of GMOs, and as GMOs with more complex traits reach late stages of development, there has been increasing concern about the burden posed by the complexity of risk analysis. We present here an improved approach for GMO risk analysis that gives a central role to problem formulation. Further, the risk analysis strategy has been clarified and simplified in order to make rigorously scientific risk assessment and risk analysis more broadly accessible to diverse stakeholder groups.

Keywords:  GMO; problem formulation; risk analysis; risk assessment; training

Mesh:

Year:  2012        PMID: 23160540     DOI: 10.4161/gmcr.22906

Source DB:  PubMed          Journal:  GM Crops Food        ISSN: 2164-5698            Impact factor:   3.074


  7 in total

1.  Evaluation of the potential for interspecific hybridization between Camelina sativa and related wild Brassicaceae in anticipation of field trials of GM camelina.

Authors:  Stéphane Julié-Galau; Yannick Bellec; Jean-Denis Faure; Mark Tepfer
Journal:  Transgenic Res       Date:  2013-06-23       Impact factor: 2.788

2.  Recommendations for environmental risk assessment of gene drive applications for malaria vector control.

Authors:  John B Connolly; John D Mumford; Debora C M Glandorf; Sarah Hartley; Owen T Lewis; Sam Weiss Evans; Geoff Turner; Camilla Beech; Naima Sykes; Mamadou B Coulibaly; Jörg Romeis; John L Teem; Willy Tonui; Brian Lovett; Aditi Mankad; Abraham Mnzava; Silke Fuchs; Talya D Hackett; Wayne G Landis; John M Marshall; Fred Aboagye-Antwi
Journal:  Malar J       Date:  2022-05-25       Impact factor: 3.469

3.  Risk assessment of gene flow from genetically engineered virus resistant cassava to wild relatives in Africa: an expert panel report.

Authors:  Karen E Hokanson; Norman C Ellstrand; Alfred G O Dixon; Heneriko P Kulembeka; Kenneth M Olsen; Alan Raybould
Journal:  Transgenic Res       Date:  2015-12-14       Impact factor: 2.788

Review 4.  Genetic basis and detection of unintended effects in genetically modified crop plants.

Authors:  Gregory S Ladics; Andrew Bartholomaeus; Phil Bregitzer; Nancy G Doerrer; Alan Gray; Thomas Holzhauser; Mark Jordan; Paul Keese; Esther Kok; Phil Macdonald; Wayne Parrott; Laura Privalle; Alan Raybould; Seung Yon Rhee; Elena Rice; Jörg Romeis; Justin Vaughn; Jean-Michel Wal; Kevin Glenn
Journal:  Transgenic Res       Date:  2015-02-26       Impact factor: 2.788

5.  Obligatory metabolomic profiling of gene-edited crops is risk disproportionate.

Authors:  Maria Fedorova; Rod A Herman
Journal:  Plant J       Date:  2020-07-20       Impact factor: 6.417

Review 6.  Development of a construct-based risk assessment framework for genetic engineered crops.

Authors:  M P Beker; P Boari; M Burachik; V Cuadrado; M Junco; S Lede; M A Lema; D Lewi; A Maggi; I Meoniz; G Noé; C Roca; C Robredo; C Rubinstein; C Vicien; A Whelan
Journal:  Transgenic Res       Date:  2016-06-23       Impact factor: 2.788

7.  Unconventional P-35S sequence identified in genetically modified maize.

Authors:  Nisreen Al-Hmoud; Nawar Al-Husseini; Mohammed A Ibrahim-Alobaide; Eric Kübler; Mahmoud Farfoura; Hytham Alobydi; Hiyam Al-Rousan
Journal:  GM Crops Food       Date:  2014-01-02       Impact factor: 3.074

  7 in total

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