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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.

Versions across snapshots

VersionRepositoryFileSize
0.9.0 rolling linux/jammy R-4.5 subgxe_0.9.0.tar.gz 222.9 KiB
0.9.0 rolling linux/noble R-4.5 subgxe_0.9.0.tar.gz 222.9 KiB
0.9.0 rolling source/ R- subgxe_0.9.0.tar.gz 209.8 KiB
0.9.0 latest linux/jammy R-4.5 subgxe_0.9.0.tar.gz 222.9 KiB
0.9.0 latest linux/noble R-4.5 subgxe_0.9.0.tar.gz 222.9 KiB
0.9.0 latest source/ R- subgxe_0.9.0.tar.gz 209.8 KiB
0.9.0 2026-04-26 source/ R- subgxe_0.9.0.tar.gz 209.8 KiB
0.9.0 2026-04-23 source/ R- subgxe_0.9.0.tar.gz 209.8 KiB
0.9.0 2026-04-09 windows/windows R-4.5 subgxe_0.9.0.zip 226.6 KiB
0.9.0 2025-04-20 source/ R- subgxe_0.9.0.tar.gz 209.8 KiB

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