Author

Jing Gu

University of ChicagoORCID 0000-0002-8022-3305Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Jing Gu3 papers · Capital Medical University

Biology Disciplines

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Genetic & Genomic Medicine· 2

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:fine-mapping· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1

Frequent Co-Authors

Anne I. SperlingiD· 1 shared Carole OberiD· 1 shared Donna C. Decker· 1 shared Kaixuan LuoiD· 1 shared Lifan LiangiD· 1 shared Marcelo A. NóbregaiD· 1 shared Matthew StephensiD· 1 shared Nathan SchoettleriD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Anne I. SperlingORCID

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2 papers

Recent·Most cited

Single-cell multiomic profiling of lung immune cells identifies novel asthma risk genes and cell-type specific functions

Jing Gu, Donna C. Decker, Xiaoyuan Zhong, Anne I. Sperling, Carole Ober, Marcelo A. Nóbrega, Xin He, Nathan Schoettler

The paper uses single-cell multi-omics data to identify asthma risk genes and their cell-type specific functions in lung immune cells.

medRxiv · Feb 9, 2026 · PreprintGenetic & Genomic Medicine

Integrating multi-omics and multi-context QTL data with GWAS reveals the genetic architecture of complex traits and improves the discovery of risk genes

Sheng Qian, Kaixuan Luo, Xiaotong Sun, Wesley L. Crouse, Lifan Liang, Jing Gu, Matthew Stephens, Siming Zhao, Xin He

This study develops M-cTWAS to integrate multi-omics and multi-context QTL data with GWAS, improving the discovery of risk genes for complex traits.

medRxiv · Jan 30, 2026 · PreprintGenetic & Genomic Medicine