Systems BiologybioRxivPreprint
Mendelian randomization for multiple exposures and outcomes with Bayesian Directed Acyclic Graphs exploration and causal effects estimation
Verena Zuber, Héléne T. Cronjé, Na Cai…·Leonardo Bottolo
This paper introduces MrDAG, a Bayesian Mendelian randomization method that models complex dependencies among multiple exposures and outcomes to improve causal effect estimation, highlighting education and smoking as key interventions for mental health.