HaploVar: an R package for defining local haplotype variants for trait association and trait prediction analyses

Research output: Contribution to journalArticlepeer-review

Abstract

Marker assisted breeding (MAB) supports breeding by identifying individuals or molecular markers associated with important traits. MAB methods include genome-wide association studies (GWAS) and genomic selection (GS). Local haplotypes are regions of DNA that are inherited together due to high levels of linkage disequilibrium. Local haplotypes can improve the prediction accuracy and power of GS and GWAS. Currently available local haplotyping tools improve GWAS power through fine-mapping of candidate regions or through haplotype-based GWAS. However, no local haplotyping tools utilize the benefits of haplotypes for GS. Here we present HaploVar, a local haplotyping tool designed to improve both GWAS and GS pipelines by identifying local haplotypes and formatting the output to be compatible with all major GWAS and GS tools.HaploVar can be used in any haplotype-based MAB study. Availability and implementation HaploVar can be downloaded from CRAN with R > 4.0.0 (DOI: 10.32614/CRAN.package.HaploVar).

Original languageEnglish
Article numberbtaf602
JournalBioinformatics
Volume41
Issue number12
DOIs
Publication statusE-pub ahead of print - 6 Dec 2025

Funding

FundersFunder number
ARC Australian Research Council DP200100762, DP210100296, LP230100351

    Fingerprint

    Dive into the research topics of 'HaploVar: an R package for defining local haplotype variants for trait association and trait prediction analyses'. Together they form a unique fingerprint.

    Cite this