A flexible and unified framework for single- and multi-outcome Mendelian randomization using summary statistics

Mapping causal genes from molecular QTL data remains challenging due to limited instruments. Kang et al. introduce FusioMR, a Bayesian Mendelian randomization framework that leverages gene-region-specific information and supports multi-outcome analyses, improving causal inference for molecular traits and facilitating the discovery of disease risk genes.