Literature DB >> 12505347

Substantial equivalence--an appropriate paradigm for the safety assessment of genetically modified foods?

Harry A Kuiper1, Gijs A Kleter, Hub P J M Noteborn, Esther J Kok.   

Abstract

Safety assessment of genetically modified food crops is based on the concept of substantial equivalence, developed by OECD and further elaborated by FAO/WHO. The concept embraces a comparative approach to identify possible differences between the genetically modified food and its traditional comparator, which is considered to be safe. The concept is not a safety assessment in itself, it identifies hazards but does not assess them. The outcome of the comparative exercise will further guide the safety assessment, which may include (immuno)toxicological and biochemical testing. Application of the concept of substantial equivalence may encounter practical difficulties: (i) the availability of near-isogenic parental lines to compare the genetically modified food with; (ii) limited availability of methods for the detection of (un)intended effects resulting from the genetic modification; and (iii) limited information on natural variations in levels of relevant crop constituents. In order to further improve the methodology for identification of unintended effects, new 'profiling' methods are recommended. Such methods will allow for the screening of potential changes in the modified host organism at different integration levels, i.e. at the genome level, during gene expression and protein translation, and at the level of cellular metabolism.

Mesh:

Year:  2002        PMID: 12505347     DOI: 10.1016/s0300-483x(02)00488-2

Source DB:  PubMed          Journal:  Toxicology        ISSN: 0300-483X            Impact factor:   4.221


  11 in total

Review 1.  Biosafety considerations of RNAi-mediated virus resistance in fruit-tree cultivars and in rootstock.

Authors:  Godwin Nana Yaw Lemgo; Silvia Sabbadini; Tiziana Pandolfini; Bruno Mezzetti
Journal:  Transgenic Res       Date:  2013-07-16       Impact factor: 2.788

2.  Current risk assessment approaches for environmental and food and feed safety assessment.

Authors:  Jeffrey D Wolt
Journal:  Transgenic Res       Date:  2019-08       Impact factor: 2.788

3.  Comparative evaluation of nutritional compositions between transgenic rice harboring the CaMsrB2 gene and the conventional counterpart.

Authors:  Yong-Hwa Cho; Pradeep Puligundla; Sung-Dug Oh; Hyang-Mi Park; Kyung-Min Kim; Si-Myung Lee; Tae-Hun Ryu; Young-Tack Lee
Journal:  Food Sci Biotechnol       Date:  2016-02-29       Impact factor: 2.391

Review 4.  Environmental risk assessments for transgenic crops producing output trait enzymes.

Authors:  Alan Raybould; Ann Tuttle; Scott Shore; Terry Stone
Journal:  Transgenic Res       Date:  2009-11-19       Impact factor: 2.788

5.  Safety assessment of leaf curl virus resistant tomato developed using viral derived sequences.

Authors:  Abinav K Singh; Shelly Praveen; Bhanu P Singh; Anupam Varma; Naveen Arora
Journal:  Transgenic Res       Date:  2009-05-05       Impact factor: 2.788

6.  Assessment of genetically modified soybean in relation to natural variation in the soybean seed metabolome.

Authors:  Joseph D Clarke; Danny C Alexander; Dennis P Ward; John A Ryals; Matthew W Mitchell; Jacob E Wulff; Lining Guo
Journal:  Sci Rep       Date:  2013-10-30       Impact factor: 4.379

7.  Uniform orientation of biotinylated nanobody as an affinity binder for detection of Bacillus thuringiensis (Bt) Cry1Ac toxin.

Authors:  Min Li; Min Zhu; Cunzheng Zhang; Xianjin Liu; Yakun Wan
Journal:  Toxins (Basel)       Date:  2014-12-02       Impact factor: 4.546

8.  Genetic variation assessment of stacked-trait transgenic maize via conventional breeding.

Authors:  Xujing Wang; Xin Zhang; Jiangtao Yang; Xiaojing Liu; Yaya Song; Zhixing Wang
Journal:  BMC Plant Biol       Date:  2019-08-07       Impact factor: 4.215

9.  Composition of forage and grain from genetically modified DP202216 maize is equivalent to non-modified conventional maize (Zea mays L.).

Authors:  Jennifer A Anderson; Bonnie Hong; Emily Moellring; Sarah TeRonde; Carl Walker; Yiwei Wang; Carl Maxwell
Journal:  GM Crops Food       Date:  2019-05-16       Impact factor: 3.074

10.  Compositional equivalence assessment of insect-resistant genetically modified rice using multiple statistical analyses.

Authors:  Seon-Woo Oh; Eun-Ha Kim; So-Young Lee; Da-Young Baek; Sang-Gu Lee; Hyeon-Jung Kang; Young-Soo Chung; Soon-Ki Park; Tae-Hun Ryu
Journal:  GM Crops Food       Date:  2021-01-02       Impact factor: 3.074

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