Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2009-1-22
pubmed:abstractText
A workshop was organised to investigate whether risk assessment strategies and methodologies used in classical/conventional toxicology may be used for risk assessment of allergenic foods, to discuss the advantages and limitations of different approaches and to determine the research needed to move the area forward. Three possible approaches to safety assessment and risk assessment for allergenic foods were presented and discussed: safety assessment using NOAEL/LOAEL and uncertainty factors, safety assessment using Benchmark Dose and Margin of Exposure (MoE), and risk assessment using probabilistic models. The workshop concluded that all the three approaches to safety and risk assessment of allergenic foods should continue to be considered. A particular strength of the MoE and probabilistic approaches is that they do not rely on low-dose extrapolations with its inherent issues. Probabilistic modelling is considered to be the most promising approach for use in population risk assessment (which is a particular focus for risk managers). For all approaches, further improvement of input data is desirable, particularly data on consumption patterns/food choices in food allergic consumers, data on minimum eliciting doses and data that can be used to evaluate whether the whole population at risk has been modelled accurately. Specific research topics were identified.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
1873-6351
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
47
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
480-9
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Approaches to risk assessment in food allergy: report from a workshop ''developing a framework for assessing the risk from allergenic foods".
pubmed:affiliation
Department of Toxicology and Risk Assessment, National Food Institute, Technical University of Denmark, Research Leader, 19 Mørkhøj Bygade, DK-2860 Søborg, Denmark. charm@food.dtu.dk
pubmed:publicationType
Congresses, Research Support, Non-U.S. Gov't