Package: GxEprs 1.2
GxEprs: Genotype-by-Environment Interaction in Polygenic Score Models
A novel PRS model is introduced to enhance the prediction accuracy by utilising GxE effects. This package performs Genome Wide Association Studies (GWAS) and Genome Wide Environment Interaction Studies (GWEIS) using a discovery dataset. The package has the ability to obtain polygenic risk scores (PRSs) for a target sample. Finally it predicts the risk values of each individual in the target sample. Users have the choice of using existing models (Li et al., 2015) <doi:10.1093/annonc/mdu565>, (Pandis et al., 2013) <doi:10.1093/ejo/cjt054>, (Peyrot et al., 2018) <doi:10.1016/j.biopsych.2017.09.009> and (Song et al., 2022) <doi:10.1038/s41467-022-32407-9>, as well as newly proposed models for genomic risk prediction (refer to the URL for more details).
Authors:
GxEprs_1.2.tar.gz
GxEprs_1.2.zip(r-4.5)GxEprs_1.2.zip(r-4.4)GxEprs_1.2.zip(r-4.3)
GxEprs_1.2.tgz(r-4.4-any)GxEprs_1.2.tgz(r-4.3-any)
GxEprs_1.2.tar.gz(r-4.5-noble)GxEprs_1.2.tar.gz(r-4.4-noble)
GxEprs_1.2.tgz(r-4.4-emscripten)GxEprs_1.2.tgz(r-4.3-emscripten)
GxEprs.pdf |GxEprs.html✨
GxEprs/json (API)
# Install 'GxEprs' in R: |
install.packages('GxEprs', repos = c('https://dovinij.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dovinij/gxeprs/issues
- Bcov_discovery - Covariate data file of the discovery dataset when the outcome is binary. This contains covariate information of the individuals in the discovery dataset following confounders.
- Bcov_target - Covariate data file of the target dataset when the outcome is binary. This contains covariate information of the individuals in the target dataset following confounders.
- Bphe_discovery - Phenotype data file of the discovery dataset when the outcome is binary. This contains phenotype information of the individuals in the discovery dataset.
- Bphe_target - Phenotype data file of the target dataset when the outcome is binary. This contains phenotype information of the individuals in the target dataset.
- DummyData.bim - PLINK .bim file
- DummyData.fam - PLINK .fam file
- DummyData.map - PLINK .map file
- DummyData.ped - PLINK .ped file
- Qcov_discovery - Covariate data file of the discovery dataset when the outcome is quantitative. This contains covariate information of the individuals in the discovery dataset following confounders.
- Qcov_target - Covariate data file of the target dataset when the outcome is quantitative. This contains covariate information of the individuals in the target dataset following confounders.
- Qphe_discovery - Phenotype data file of the discovery dataset when the outcome is quantitative. This contains phenotype information of the individuals in the discovery dataset.
- Qphe_target - Phenotype data file of the target dataset when the outcome is quantitative. This contains phenotype information of the individuals in the target dataset.
Last updated 6 months agofrom:f4395d5441. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 22 2024 |
R-4.5-win | OK | Nov 22 2024 |
R-4.5-linux | OK | Nov 22 2024 |
R-4.4-win | OK | Nov 22 2024 |
R-4.4-mac | OK | Nov 22 2024 |
R-4.3-win | OK | Nov 22 2024 |
R-4.3-mac | OK | Nov 22 2024 |
Exports:GWAS_binaryGWAS_quantitativeGWEIS_binaryGWEIS_quantitativePRS_binaryPRS_quantitativesummary_permuted_binarysummary_permuted_quantitativesummary_regular_binarysummary_regular_quantitative
Dependencies: