Taking account of genomics in quantitative microbial risk assessment: what methods? what issues?

The application of whole-genome sequencing (WGS) to the risk assessment foodborne pathogens is a key challenge. WGS offers highest level strain discrimination for more precise hazard identification, characterization and exposure leading deeper characterization. Genome‐wide association studies represent today powerful tools identification associations between genomic elements microbial phenotypic properties. Other cutting-edge include machine learning or statistical methods characterize phenotype distribution on phylogenetic tree. A panorama available presented as well specific issues associated with these phenotypes interest assessment. • Numerous are identify markers pathogen phenotypes, complexity acquiring challenges methods, First applications in MRA show concept precision food safety.