Author

Jasper P. Hof

Aarhus UniversityORCID 0000-0002-7461-6364Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 3 Organism:human· 3 Research Focus:GWAS / association mapping· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Approach:mixed model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Doug SpeediD· 3 shared Chao NingiD· 2 shared Liam James Elgaard QuinniD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Doug SpeedORCID

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3 papers

Recent·Most cited

Quantifying the genetic separability of disease subtypes

Chao Ning, Jasper Hof, Doug Speed

This paper introduces GenSep, a framework to quantify genetic separability of disease subtypes, showing current PRSs fall short of theoretical limits.

medRxiv · Oct 12, 2026 · PreprintGenetic & Genomic Medicine

Incorporating phenotype heterogeneity in disease GWAS improves power while maintaining specificity

Jasper P. Hof, Chao Ning, Liam James Elgaard Quinn, Doug Speed

StratGWAS improves GWAS power by incorporating phenotype heterogeneity while maintaining specificity, identifying more significant loci in depression and other traits.

medRxiv · Mar 27, 2026 · PreprintGenetic & Genomic Medicine

LDAK-KVIK performs fast and powerful mixed-model association analysis of quantitative and binary phenotypes

Jasper P. Hof, Doug Speed

LDAK-KVIK is a mixed-model association analysis tool that outperforms existing methods in power and efficiency for quantitative and binary phenotypes.

Nature Genetics · Aug 11, 2025Peer-reviewedGenetic & Genomic Medicine