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 |
Documentation:
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