EFSA Journal

EFSA publishes all its scientific outputs, including its scientific opinions, in the EFSA Journal. It also issues a range of supporting publications. See also Definitions of EFSA Scientific Outputs and Supporting Publications.

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Risk assessment of information on the subcombination Bt11 × 1507 × GA21, related to the application of Syngenta (EFSA-GMO-DE-2011-99) for authorisation of food and feed containing, consisting and produced from genetically modified maize Bt11 × 59122 × MIR

The GMO Panel has previously assessed the single events Bt11, 59122, MIR604, 1507 and GA21 as well as different stacked events corresponding to combinations of these events and no safety concerns were identified. In its assessment of the five-event maize ...

Statement
19 December 2017

Database on the taxonomical characterisation and potential toxigenic capacities of microorganisms used for the industrial production of food enzymes and feed additives, which do not have a recommendation for Qualified Presumption of Safety

No abstract available. Keywords:  Systematic review, literature search, safety, QPS, risk assessment, data collection doi:  10.2903/sp.efsa.2017.EN-1274 Question Number:  EFSA-Q-2016-00296 Adopted:  2 March 2017 Contact:  FEEDADDITIVES@efsa.europa.eu On r ...

Risk assessment of information on the subcombination Bt11 × MIR162, related to the application of Syngenta (EFSA-GMO-DE-2009-66) for authorisation of food and feed containing, consisting and produced from genetically modified maize Bt11 × MIR162 × MIR604

The EFSA Panel on Genetically Modified Organisms (GMO) has previously assessed the single events Bt11, MIR162, MIR604 and GA21 as well as different stacked events corresponding to combinations of these events. These maize events were found to be as safe a ...

Statement
24 March 2017

New sequencing information on GM maize DAS-59122-7

The EFSA Panel on Genetically Modified Organisms (GMO Panel) has previously assessed genetically modified (GM) maize DAS-59122-7 as a single event as well as part of several stacked events. These maize events were found to be as safe as their conventional ...

Statement
05 December 2016

Analysis of multi-drug resistance in the EU

No abstract available. Keywords:  Antimicrobial resistance; Bayesian networks; Classification trees; Generalised estimating equations; Hierarchical clustering; Latent class analysis; Pattern attribution; Source attribution; Spatiotemporal models doi:  10. ...

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