Author

Jason Hartford

Primary ORCID profile (0000-0002-4229-2588 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Jason HartfordiD2 papers · University of Manchester

Biology Disciplines

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Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Archer Yi Yang· 1 shared Benoît J. ArsenaultiD· 1 shared Joëlle PineauiD· 1 shared Marc‐André LegaultiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Archer Yi Yang

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1 paper

Recent·Most cited

A novel and efficient machine learning Mendelian randomization estimator applied to predict the safety and efficacy of sclerostin inhibition

Marc‐André Legault, Jason Hartford, Benoît J. Arsenault, Archer Yi Yang, Joëlle Pineau

This paper introduces a machine learning Mendelian randomization estimator, Quantile IV, to assess the causal effects of sclerostin inhibition on bone and cardiovascular outcomes using UK Biobank data.

The American Journal of Human Genetics · May 15, 2025Peer-reviewedGenetic & Genomic Medicine