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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.
Getting started
Browse package contents
Package details |
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| Author | Youfei Yu [aut], Alexander Rix [cre] |
| Maintainer | Alexander Rix <alexrix@umich.edu> |
| License | GPL-3 |
| Version | 0.9.0 |
| URL | https://github.com/umich-cphds/subgxe |
| Package repository | View on CRAN |
| Installation |
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