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.
Package details |
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Maintainer | |
License | What license it uses |
Version | 0.0.0.9000 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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