Author

Jing Tang

Regeneron (United States)ORCID 0009-0001-3530-0463Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Jing Tang6 papers · University of Helsinki

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 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Anthony MarckettaiD· 1 shared Arkopravo GhoshiD· 1 shared Carlo SidoreiD· 1 shared Christopher E. GilliesiD· 1 shared Gonçalo R. AbecasisiD· 1 shared Jack A. KosmickiiD· 1 shared Joelle S. MbatchouiD· 1 shared Jonathan MarchiniiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Anthony MarckettaORCID

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1 paper

Recent·Most cited

Computationally efficient meta-analysis of gene-based tests using summary statistics in large-scale genetic studies

Tyler Joseph, Joelle S. Mbatchou, Arkopravo Ghosh, Anthony Marcketta, Christopher E. Gillies, Jing Tang, Priyanka Nakka, Xinyuan Zhang, Jack A. Kosmicki, Carlo Sidore, Lauren Gurski, Maya Ghoussaini, Manuel A. R. Ferreira, Gonçalo R. Abecasis, Jonathan Marchini

The paper introduces REMETA, a tool for efficiently performing meta-analysis of gene-based tests using summary statistics, demonstrating its application on UK Biobank data.

Nature Genetics · Nov 12, 2025Peer-reviewedGenetic & Genomic Medicine