Package: subgxe 0.9.1

Alexander Rix

subgxe: Combine Multiple GWAS by Using Gene-Environment Interactions

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.

Authors:Youfei Yu [aut], Alexander Rix [aut, cre]

subgxe_0.9.1.tar.gz
subgxe_0.9.1.zip(r-4.5)subgxe_0.9.1.zip(r-4.4)subgxe_0.9.1.zip(r-4.3)
subgxe_0.9.1.tgz(r-4.5-any)subgxe_0.9.1.tgz(r-4.4-any)subgxe_0.9.1.tgz(r-4.3-any)
subgxe_0.9.1.tar.gz(r-4.5-noble)subgxe_0.9.1.tar.gz(r-4.4-noble)
subgxe_0.9.1.tgz(r-4.4-emscripten)subgxe_0.9.1.tgz(r-4.3-emscripten)
subgxe.pdf |subgxe.html
subgxe/json (API)
NEWS

# Install 'subgxe' in R:
install.packages('subgxe', repos = c('https://umich-cphds.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/umich-cphds/subgxe/issues

Datasets:
  • studies - Synthetic data for subgxe

On CRAN:

Conda:

3.70 score 3 scripts 108 downloads 1 exports 0 dependencies

Last updated 6 years agofrom:5e2173eb74. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 11 2025
R-4.5-winOKMar 11 2025
R-4.5-macOKMar 11 2025
R-4.5-linuxOKMar 11 2025
R-4.4-winOKMar 11 2025
R-4.4-macOKMar 11 2025
R-4.4-linuxOKMar 11 2025
R-4.3-winOKMar 11 2025
R-4.3-macOKMar 11 2025

Exports:pasta

Dependencies:

Getting started with subgxe

Rendered fromsubgxe.Rmdusingknitr::rmarkdownon Mar 11 2025.

Last update: 2019-08-14
Started: 2019-06-13