RegionScan
RegionScan implements region-level genome-wide association testing with integration and visualization of multiple-variant and single-variant statistics.
Key Features:
- Region-level tests: Implements various state-of-the-art region-level tests to improve signal detection under heterogeneous genetic architectures.
- LD-adaptive region definition: Exploits local linkage disequilibrium structure for genomic partitioning and LD-adaptive region definition.
- Input compatibility: Compatible with VCF input file formats for genotyped and imputed variants.
- Multi-allelic and unbalanced phenotype support: Provides options for analysis of multi-allelic variants and unbalanced binary phenotypes.
- Parallel processing: Accommodates parallel region-level processing and analysis to improve computational time and memory efficiency.
- Results comparison and visualization: Facilitates comparison of multiple-variant region-level and single-variant test results with detailed outputs and utility functions for visualization and interpretation.
Scientific Applications:
- Genome-wide association studies: Enables comprehensive and scalable genome-wide association testing at the region level.
- Genetic architecture analysis: Improves signal detection across diverse genetic architectures through integrated multiple-variant and single-variant testing approaches.
- Genomic partitioning: Supports LD-based genomic partitioning for adaptive region definition in association studies.
Methodology:
RegionScan exploits local linkage disequilibrium structure for genomic partitioning and LD-adaptive region definition, with parallel region-level processing and analysis.
Topics
Details
- Programming Languages:
- R
- Added:
- 1/14/2026
- Last Updated:
- 1/14/2026