GRAB: Genome-Wide Robust Analysis for Biobank Data (GRAB)
Provides a comprehensive suite of genome-wide association study (GWAS) methods specifically designed for biobank-scale data, including but not limited to, robust approaches for time-to-event traits (Li et al., 2025 <doi:10.1038/s43588-025-00864-z>) and ordinal categorical traits (Bi et al., 2021 <doi:10.1016/j.ajhg.2021.03.019>). The package also offers general frameworks for GWAS of any trait type (Bi et al., 2020 <doi:10.1016/j.ajhg.2020.06.003>), while accounting for sample relatedness (Xu et al., 2025 <doi:10.1038/s41467-025-56669-1>) or population structure (Ma et al., 2025 <doi:10.1186/s13059-025-03827-9>). By accurately approximating score statistic distributions using saddlepoint approximation (SPA), these methods can effectively control type I error rates for rare variants and in the presence of unbalanced phenotype distributions. Additionally, the package includes functions for simulating genotype and phenotype data to support research and method development.
| Version: | 0.2.4 |
| Depends: | R (≥ 3.5.0) |
| Imports: | dplyr,data.table,mvtnorm,Matrix,RSQLite,lme4,ordinal,survival,Rcpp,RcppParallel,igraph |
| LinkingTo: | Rcpp,RcppArmadillo,RcppParallel,BH |
| Suggests: | SKAT,dbplyr,tidyr,R.utils |
| Published: | 2025-12-05 |
| DOI: | 10.32614/CRAN.package.GRAB |
| Author: | Wenjian Bi [aut], Wei Zhou [aut], Rounak Dey [aut], Zhangchen Zhao [aut], Seunggeun Lee [aut], Woody Miao [cre] |
| Maintainer: | Woody Miao <miaolin at pku.edu.cn> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | GRAB results |
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