GEVACO: Joint Test of Gene and GxE Interactions via Varying Coefficients
A novel statistical model to detect the joint genetic and dynamic gene-environment (GxE) interaction with continuous traits in genetic association studies. It uses varying-coefficient models to account for different GxE trajectories, regardless whether the relationship is linear or not. The package includes one function, GxEtest(), to test a single genetic variant (e.g., a single nucleotide polymorphism or SNP), and another function, GxEscreen(), to test for a set of genetic variants. The method involves a likelihood ratio test described in Crainiceanu, C. M., and Ruppert, D. (2004) <doi:10.1111/j.1467-9868.2004.00438.x>.
| Version: |
1.0.1 |
| Depends: |
R (≥ 3.6) |
| Imports: |
nlme, RLRsim, stats |
| Suggests: |
rmarkdown, knitr |
| Published: |
2021-12-10 |
| Author: |
Zhengyang Zhou [aut]
Sydney Manning [aut, cre]
Chao Xing [aut]
Hung-Chih Ku [aut] |
| Maintainer: |
Sydney Manning <sydney.manning at unthsc.edu> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
GEVACO results |
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