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CHAP-GWAS (Chromosomal Haplotype-Integrated Genome-Wide Association Study) provides a dynamically adaptive framework for genome-wide association studies (GWAS) that integrates chromosome-scale haplotypes with single nucleotide polymorphism (SNP) analysis. The method identifies and extends haplotype variants based on their phenotypic associations rather than predefined linkage blocks, enabling high-resolution detection of quantitative trait loci (QTL). By leveraging long-range phased haplotype information, CHAP-GWAS improves statistical power and offers a more comprehensive view of the genetic architecture underlying complex traits.
| Version: | 0.1.2 |
| Depends: | R (≥ 4.0.0) |
| Imports: | MASS, plyr |
| Published: | 2025-12-12 |
| DOI: | 10.32614/CRAN.package.CHAPGWAS |
| Author: | Shibo Wang [aut, cre], Qiong Jia [aut], Zhenyu Jia [aut, ctb] |
| Maintainer: | Shibo Wang <shibow at ucr.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | CHAPGWAS results |
| Reference manual: | CHAPGWAS.html , CHAPGWAS.pdf |
| Package source: | CHAPGWAS_0.1.2.tar.gz |
| Windows binaries: | r-devel: not available, r-release: CHAPGWAS_0.1.2.zip, r-oldrel: CHAPGWAS_0.1.2.zip |
| macOS binaries: | r-release (arm64): CHAPGWAS_0.1.2.tgz, r-oldrel (arm64): CHAPGWAS_0.1.2.tgz, r-release (x86_64): CHAPGWAS_0.1.2.tgz, r-oldrel (x86_64): CHAPGWAS_0.1.2.tgz |
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