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 (may not be active yet) |
| 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 |
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