Author

Junyi Song

McGill UniversityORCID 0009-0003-6832-2452Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 2 Organism:human· 2 Research Focus:polygenic risk· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Shadi ZabadiD· 2 shared Simon GraveliD· 2 shared Yue LiiD· 2 shared Archer Yi Yang· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersGenetics

Shadi ZabadORCID

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2 papers

Recent·Most cited

GeneticsbioRxivPreprintOct 30, 2026

BLocPRS: locus-aware ensembles of polygenic scores provide accurate linear prediction

Junyi Song, Shadi Zabad, Simon Gravel, Yue Li

BLocPRS improves polygenic risk score prediction by combining locus-specific weights from different PRSs, achieving higher accuracy in UK Biobank and extending to non-European populations.

DOI 10.64898/2026.10.26.759503

humanGWAS summary statistics

Genetic & Genomic MedicineBioinformaticsPeer-reviewedOct 15, 2025

Sparse Polygenic Risk Score Inference with the Spike-and-Slab LASSO

Junyi Song, Shadi Zabad, Archer Yi Yang…·Yue Li

This paper introduces SSLPRS, a Polygenic Risk Score method using Spike-and-Slab LASSO, showing improved variable selection and prediction accuracy over existing methods.

2 citations

humanGWAS summary statistics