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subgxe  

Combine Multiple GWAS by Using Gene-Environment Interactions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("subgxe", "0.9.0")



Attach the package and use:
library("subgxe")
Maintained by
Alexander Rix
[Scholar Profile | Author Map]
First Published: 2019-06-14
Latest Update: 2019-06-14
Description:
Classical methods for combining summary data from genome-wide association studies (GWAS) only use marginal genetic effects and power can be compromised in the presence of heterogeneity. 'subgxe' is a R package that implements p-value assisted subset testing for association (pASTA), a method developed by Yu et al. (2019) <doi:10.1159/000496867>. pASTA generalizes association analysis based on subsets by incorporating gene-environment interactions into the testing procedure.
How to cite:
Alexander Rix (2019). subgxe: Combine Multiple GWAS by Using Gene-Environment Interactions. R package version 0.9.0, https://cran.r-project.org/web/packages/subgxe. Accessed 07 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited subgxe R package
View subgxe citation profile
Other R packages that subgxe depends, imports, suggests or enhances
Complete documentation for subgxe
Functions, R codes and Examples using the subgxe R package
Some associated functions: pasta . studies . 
Some associated R codes: data.R . pasta.R .  Full subgxe package functions and examples
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