YangLabHKUST/MR-APSS: The MRAPSS package implement the MR-APPSS approach to test for the causal effect of an exposure on a outcome disease.

The MRAPSS package implement the MR-APPSS approach to test for the causal effects between an exposure and a outcome disease. The MR-APPSS is a unified approach to Mendelian Randomization accounting for polygenicity, pleiotropy and sample structure using genome-wide summary statistics. Specifically, MR-APPSS uses a background-foreground model to characterize both SNP-exposure effects and SNP-outcome effects estimates, where the background model accounts for confounding from genetic correlation and sample structure and the foreground model captures the valid signal for causal inference.

Getting started

Package details

Maintainer
LicenseWhat license it uses
Version0.0.0.9000
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("YangLabHKUST/MR-APSS")
YangLabHKUST/MR-APSS documentation built on April 13, 2025, 7:56 p.m.