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) . pASTA generalizes association analysis based on subsets by incorporating gene-environment interactions into the testing procedure.


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install.packages("subgxe")

0.9.0 by Alexander Rix, a year ago


https://github.com/umich-cphds/subgxe


Report a bug at https://github.com/umich-cphds/subgxe/issues


Browse source code at https://github.com/cran/subgxe


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


Documentation:   PDF Manual  


GPL-3 license


Suggests lmtest, knitr, rmarkdown


See at CRAN