CHAPGWAS: CHAP-GWAS: Leveraging Chromosomal Haplotypes to Improve Genome-Wide Association Studies

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

Documentation:

Reference manual:

CHAPGWAS.html , CHAPGWAS.pdf

Downloads:

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

Linking:

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