GRAB
0.2.5Genome-Wide Robust Analysis for Biobank Data (GRAB)
Overview
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.
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Documentation
- Examples that run
- 100%
- Documented parameters
- 88%
- Return-value docs
- 100%
- References docs
- 25%
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Package metadata
- First published
- 2025-07-25
- Total releases
- 5 / 1 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 1.7 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet