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MPGE  

A Two-Step Approach to Testing Overall Effect of Gene-Environment Interaction for Multiple Phenotypes
View on CRAN: Click here


Download and install MPGE package within the R console
Install from CRAN:
install.packages("MPGE")

Install from Github:
library("remotes")
install_github("cran/MPGE")

Install by package version:
library("remotes")
install_version("MPGE", "1.0.0")



Attach the package and use:
library("MPGE")
Maintained by
Arunabha Majumdar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-23
Latest Update: 2020-10-23
Description:
Interaction between a genetic variant (e.g., a single nucleotide polymorphism) and an environmental variable (e.g., physical activity) can have a shared effect on multiple phenotypes (e.g., blood lipids). We implement a two-step method to test for an overall interaction effect on multiple phenotypes. In first step, the method tests for an overall marginal genetic association between the genetic variant and the multivariate phenotype. The genetic variants which show an evidence of marginal overall genetic effect in the first step are prioritized while testing for an overall gene-environment interaction effect in the second step. Methodology is available from: A Majumdar, KS Burch, S Sankararaman, B Pasaniuc, WJ Gauderman, JS Witte (2020) .
How to cite:
Arunabha Majumdar (2020). MPGE: A Two-Step Approach to Testing Overall Effect of Gene-Environment Interaction for Multiple Phenotypes. R package version 1.0.0, https://cran.r-project.org/web/packages/MPGE. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.0.0 (2020-10-23 17:40)
Other packages that cited MPGE R package
View MPGE citation profile
Other R packages that MPGE depends, imports, suggests or enhances
Complete documentation for MPGE
Functions, R codes and Examples using the MPGE R package
Some associated functions: MPGE . SST . WHT . environment_data . genotype_data . mv_G_GE . mv_G_GxE_pvalues . phenotype_data . 
Some associated R codes: MPGE.R . check.R . data.R . mv_G_GE_P.R . mv_G_GE_P_base.R . sst.R . whmt.R .  Full MPGE package functions and examples
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