Package: subgxe 0.9.0

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 [cre]

subgxe_0.9.0.tar.gz
subgxe_0.9.0.zip(r-4.7)subgxe_0.9.0.zip(r-4.6)subgxe_0.9.0.zip(r-4.5)
subgxe_0.9.0.tgz(r-4.6-any)subgxe_0.9.0.tgz(r-4.5-any)
subgxe_0.9.0.tar.gz(r-4.7-any)subgxe_0.9.0.tar.gz(r-4.6-any)
subgxe_0.9.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
subgxe/json (API)
NEWS

# Install 'subgxe' in R:
install.packages('subgxe', repos = c('https://cranhaven.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:

archivedpackagesr-universe

3.40 score 5 stars 4 scripts 33 downloads 1 exports 0 dependencies

Last updated from:2b0a723607 (on package/subgxe). Checks:7 WARNING, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING93
source / vignettesOK145
linux-release-x86_64WARNING110
macos-release-arm64WARNING103
macos-oldrel-arm64WARNING132
windows-develWARNING87
windows-releaseWARNING61
windows-oldrelWARNING76
wasm-releaseOK89

Exports:pasta

Dependencies:

Getting started with subgxe

Rendered fromsubgxe.Rmdusingknitr::rmarkdownon Jun 07 2026.

Last update: 2026-05-08
Started: 2026-05-08