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CHAPGWAS (version 0.1.3)

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

Description

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.

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Version

Install

install.packages('CHAPGWAS')

Version

0.1.3

License

GPL-3

Maintainer

Shibo Wang

Last Published

January 8th, 2026

Functions in CHAPGWAS (0.1.3)

test.HAP

test.HAP: Test haplotype effects for a local region
RANDOM

RANDOM: Mixed model and haplotype random effect test
SEL.HAP

SEL.HAP: Haplotype selection and extension along the genome