A Study on Application of Multivariate Permutation Test to Statistical Evaluation of Substantial Equivalence for Genetically Modified Products
Date Issued
2011
Date
2011
Author(s)
Chen, Cheng-I
Abstract
Human modifies organisms using many kinds of techniques, such as selective breeding, mutation breeding, and somaclonal variation. A Genetically modified food (GM Food), which is derived from genetically modified organism (GMO), is an organism food whose genetic material has been changed by genetic engineering techniques. Genetic modification aims to render the resulting plant variety more favorable in nutritional quality or agronomic characteristics. The substantial equivalence is an important concept in the safety assessment of GM products including GM crops and/or the food derived from GM crops.
In our study, we will introduce the concept of substantial equivalence for evaluation of GM products. Substantial equivalence is claimed if no biologically or safety meaningful difference is found between the GM product and its conventional non-GM product. With consideration of the correlation between the nutritional and agronomic characteristics within the same crop, we applied multivariate permutation test to evaluate substantial equivalence of GM foods. We conducted simulation study in different correlations and different number of variables to compare the performance between the multivariate permutation test and t test. We also used a numerical example to illustrate the proposed procedure.
In our study, we will introduce the concept of substantial equivalence for evaluation of GM products. Substantial equivalence is claimed if no biologically or safety meaningful difference is found between the GM product and its conventional non-GM product. With consideration of the correlation between the nutritional and agronomic characteristics within the same crop, we applied multivariate permutation test to evaluate substantial equivalence of GM foods. We conducted simulation study in different correlations and different number of variables to compare the performance between the multivariate permutation test and t test. We also used a numerical example to illustrate the proposed procedure.
Subjects
GM products
substantial equivalence
multivariate permutation test
student t
SDGs
Type
thesis
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