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Featured researches published by Claudia Paoletti.


BMC Biotechnology | 2011

A statistical assessment of differences and equivalences between genetically modified and reference plant varieties

Hilko van der Voet; Joe N. Perry; Billy Amzal; Claudia Paoletti

BackgroundSafety assessment of genetically modified organisms is currently often performed by comparative evaluation. However, natural variation of plant characteristics between commercial varieties is usually not considered explicitly in the statistical computations underlying the assessment.ResultsStatistical methods are described for the assessment of the difference between a genetically modified (GM) plant variety and a conventional non-GM counterpart, and for the assessment of the equivalence between the GM variety and a group of reference plant varieties which have a history of safe use. It is proposed to present the results of both difference and equivalence testing for all relevant plant characteristics simultaneously in one or a few graphs, as an aid for further interpretation in safety assessment. A procedure is suggested to derive equivalence limits from the observed results for the reference plant varieties using a specific implementation of the linear mixed model. Three different equivalence tests are defined to classify any result in one of four equivalence classes. The performance of the proposed methods is investigated by a simulation study, and the methods are illustrated on compositional data from a field study on maize grain.ConclusionsA clear distinction of practical relevance is shown between difference and equivalence testing. The proposed tests are shown to have appropriate performance characteristics by simulation, and the proposed simultaneous graphical representation of results was found to be helpful for the interpretation of results from a practical field trial data set.


Trends in Biotechnology | 2018

Unintended Effects in Genetically Modified Food/Feed Safety: A Way Forward

Antonio Fernandez; Claudia Paoletti

Identifying and assessing unintended effects in genetically modified food and feed are considered paramount by the Food and Agricultural Organization (FAO), World Health Organization (WHO), and Codex Alimentarius, despite heated debate. This paper addresses outstanding needs: building consensus on the history-of-safe-use concept, harmonizing criteria to select appropriate conventional counterparts, and improving endpoint selection to identify unintended effects.


Journal of Agricultural and Food Chemistry | 2018

Variability of crops’ compositional characteristics: What do experimental data show?

Claudia Paoletti; Stefania Favilla; Alessandro Leo; Franco Maria Neri; Hermann Broll; Antonio Fernandez

Common pillar across the risk assessment strategies implemented worldwide for genetically modified plants is the comparison of their compositional profile to that of conventional counterparts deemed safe. If differences are observed, those that cannot be attributed to natural variation are further evaluated for their safety relevance. This principle is clear, but its implementation is challenging. Here we first discuss the difficulties of estimating natural variation of crop-specific compositional end-points and the various attempts made, together with their advantages and limitations. Second we present the empirical distribution curves of compositional end-points for two crops bearing a large commercial interest worldwide, maize and soybean. These curves provide novel information on end-point specific variability relevant for further progressing in the risk assessment process.


EFSA Journal | 2017

Guidance for the risk assessment of the presence at low level of genetically modified plant material in imported food and feed under Regulation (EC) No 1829/2003

Hanspeter Naegeli; Andrew Nicholas Birch; Josep Casacuberta; Adinda De Schrijver; Mikołaj Antoni Gralak; Philippe Guerche; Huw Jones; Barbara Manachini; Antoine Messéan; Elsa Ebbesen Nielsen; Fabien Nogué; Christophe Robaglia; Nils Rostoks; Jeremy Sweet; Christoph Tebbe; Francesco Visioli; Jean-Michel Wal; Yann Devos; Antonio Fernandez Dumont; Anna Lanzoni; Claudia Paoletti; Konstantinos Paraskevopoulos; Elisabeth Waigmann

Abstract This document provides guidance for the risk assessment under Regulation (EC) No 1829/2003 of the unintended, adventitious or technically unavoidable presence in food and feed of low level of genetically modified plant material intended for markets other than in the European Union. In this context, the presence at low level is defined to be maximum 0.9% of genetically modified plant material per ingredient. This guidance is intended to assist applicants by indicating which scientific requirements of Annex II of Regulation (EU) No 503/2013 are considered necessary for the risk assessment of the presence at low levels of genetically modified plant material in food and feed.


Transgenic Research | 2014

EFSA’s scientific activities and achievements on the risk assessment of genetically modified organisms (GMOs) during its first decade of existence: looking back and ahead

Yann Devos; Jaime Aguilera; Zoltán Divéki; Ana Gomes; Yi Liu; Claudia Paoletti; Patrick du Jardin; Lieve Herman; Joe N. Perry; Elisabeth Waigmann


European Food Research and Technology | 2006

Kernel lot distribution assessment (KeLDA): a study on the distribution of GMO in large soybean shipments

Claudia Paoletti; Andreas Heissenberger; Marco Mazzara; Sara Larcher; Emanuele Grazioli; Philippe Corbisier; Norbert Hess; Gilbert Berben; Peter S. Lübeck; Marc De Loose; Gillian Moran; C. M. Henry; Carlo Brera; Imma Folch; Jaroslava Ovesná; Guy Van den Eede


Trends in Food Science and Technology | 2008

GMO risk assessment around the world: Some examples

Claudia Paoletti; Eric Flamm; William Yan; Sue Meek; Suzy Renckens; Marc Fellous; Harry A. Kuiper


Seed Science and Technology | 2003

Simulating Kernel Lot Sampling: the Effect of Heterogeneity on the Detection of GMO Contaminations

Claudia Paoletti; M. Donatelli; S. Kay; G. Van Den Eede


Trends in Analytical Chemistry | 2012

Representative sampling of large kernel lots I. Theory of Sampling and variographic analysis

Kim H. Esbensen; Claudia Paoletti; Pentti Minkkinen


Accreditation and Quality Assurance | 2006

Food safety: screening tests used to detect and quantify GMO proteins

Monica Ermolli; Anna Fantozzi; Massimiliano Marini; Domenico Scotti; Branko Balla; Sebastian Hoffmann; Maddalena Querci; Claudia Paoletti; Guy Van den Eede

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Elisabeth Waigmann

European Food Safety Authority

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Anna Lanzoni

European Food Safety Authority

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Pentti Minkkinen

Lappeenranta University of Technology

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Harry A. Kuiper

Wageningen University and Research Centre

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Antonio Fernandez

European Food Safety Authority

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