0. Installation | 1. Overview | 2. Multi-SNP Mediation Intersection-Union Test (SMUT) : Testing mediation effects of multiple SNPs on a continuous outcome through a continuous mediator | 2.1 Mediator model | 2.2 Outcome model | 2.3 Testing $\beta$ in the mediator model and $\theta$ in the outcome model | 2.4 Example of running R function SMUT | 2.5 References | 3. Generalized Multi-SNP Mediation Intersection-Union Test (GSMUT) : Testing mediation effects of multiple SNPs on a continuous, binary, count or time-to-event outcome through a continuous mediator | 3.1 Mediator model | 3.2 Outcome model | 3.2.1 For a continuous, binary or count outcome | 3.2.2 For a time-to-event outcome | 3.3 Testing $\beta$ in the mediator model and $\theta$ in the outcome model | 3.4 Example of running R function GSMUT | 3.5 Options for the parameter outcome_type in the GSMUT function | 3.6 References