RAS: Regional Association Score for Genome-Wide Association Studies
Implements the Regional Association Score (RAS) method for
genome-wide association studies (GWAS). For each single nucleotide
polymorphism (SNP), RAS quantifies the strength of association within its
surrounding genomic region, arranges these regional scores along the
chromosome into a signal profile, and locates association regions on that
profile with one of two detectors: the original changepoint detector, or a
box-scan region detector that also delimits broad plateau-shaped regions.
Genotypes can be streamed from a chunked on-disk format through compiled
code so that peak memory no longer grows with chromosome size, and the
regional weights can be taken from an independent external GWAS
(harmonised summary statistics) instead of a within-sample split. The
method is described in Jiang and Zhang (2025) <doi:10.1073/pnas.2419721122>.
| Version: |
1.1.2 |
| Imports: |
grDevices, graphics, parallel, segmented, stats, tools, utils |
| Suggests: |
testthat (≥ 3.0.0) |
| Published: |
2026-09-26 |
| DOI: |
10.32614/CRAN.package.RAS |
| Author: |
Jiahe Jin [aut],
Yiran Jiang [aut],
Heping Zhang [aut, cre] |
| Maintainer: |
Heping Zhang <heping.zhang at yale.edu> |
| BugReports: |
https://github.com/hepingzhangyale/RAS/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/hepingzhangyale/RAS |
| NeedsCompilation: |
yes |
| Language: |
en-GB |
| Citation: |
RAS citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
RAS results |
Documentation:
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