Author

Will Shaffer

The University of QueenslandORCID 0009-0007-3071-6236Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:plant (other)· 1

Frequent Co-Authors

Ben J. HayesiD· 2 shared Eric G. DinglasaniD· 2 shared Kai P. Voss‐FelsiD· 2 shared Lee Thomas HickeyiD· 2 shared Victor PapiniD· 2 shared Hannah M. RobinsoniD· 1 shared Jingyang TongiD· 1 shared Kira VilliersiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersGenetics

Ben J. HayesORCID

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2 papers

Recent·Most cited

GeneticsbioRxivPreprintJul 13, 2026

Comparison of localGEBV and Optimal Haplotype Stacking Fitness Functions using a Novel R Package: HapSelect

Will Shaffer, Victor Papin, Zane Carter…·Eric G. Dinglasan

The paper compares localGEBV and OHS fitness functions for parent selection in inbred crops using a novel R package, finding similar long-term genetic gains with dosage-based localGEBV offering simpler workflows.

3 citations

statistical modelbenchmarking

𝕏 PostBluesky

GeneticsbioRxivPreprintAug 28, 2025

Local genomic estimates provide a powerful framework for haplotype discovery

Will Shaffer, Victor Papin, Seema Yadav…·Eric G. Dinglasan

This paper introduces localGEBV, a haplotype-based method that improves QTL discovery and phenotypic prediction compared to traditional GWAS approaches in barley.

6 citations

plant (other)GWAS summary statistics

𝕏 PostBluesky