Fanny Laliève, Stéphane Decramer, Laurence Heidet, Véronique Baudouin, Annie Lahoche, Brigitte Llanas, Pierre Cochat, Julie Tenenbaum, Marie-Pierre Lavocat, Philippe Eckart, Françoise Broux, Gwenaelle Roussey, Sylvie Cloarec, Isabelle Vrillon, Olivier Dunand, Lucie Bessenay, Michel Tsimaratos, François Nobili, Christine Pietrement, Loïc De Parscau, Valérie Bonneville, Nicolas Rodier, Cécile Saint-Martin, Nicolas Chassaing, Laurence Michel-Calemard, Vincent Moriniere, Christine Bellanné-Chantelot, Claire Bahans, Vincent Guigonis
School level of children carrying a HNF1B variant or a deletion
European journal of human genetics : EJHG
quantitative microbial risk assessment qmra current method choice determining risk human health exposure microorganisms concern however current approaches often constrained availability required data may able incorporate many varied factors influence risk systems models based bayesian networks bns emerging effective complementary approach overcomes limitations article aims provide comparative evaluation capabilities challenges current qmra methods bn models scoping review recent published articles adopt latter microbial risk assessment pros cons systems approaches context distilled discussed search peerreviewed literature revealed 15 articles describing bns used context qmras foodborne waterborne pathogens studies analysed terms application uses benefits qmra applications notable diversity bns used make predictions scenario assessment risk minimisation reduce uncertainty separate uncertainty variability studies focused segment exposure pathway indicating broad potential method qmra steps bns offer number useful features enhance qmra including transparency ability deal poor quality data support causal reasoning method significant untapped potential describe complex relationships microbial environmental exposures health