# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "CHAPGWAS" in publications use:'
type: software
license: GPL-3.0-only
title: 'CHAPGWAS: CHAP-GWAS: Leveraging Chromosomal Haplotypes to Improve Genome-Wide
  Association Studies'
version: 0.1.3
doi: 10.32614/CRAN.package.CHAPGWAS
abstract: 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.
authors:
- family-names: Wang
  given-names: Shibo
  email: shibow@ucr.edu
- family-names: Jia
  given-names: Qiong
  email: qjia009@ucr.edu
- family-names: Jia
  given-names: Zhenyu
  email: arthur.jia@ucr.edu
repository: https://hmu5050.r-universe.dev
commit: e1c8a29b3898d2c6367a8441bd39f077001abdb0
date-released: '2026-01-08'
contact:
- family-names: Wang
  given-names: Shibo
  email: shibow@ucr.edu