Author

Jiehan Li

Stanford MedicineORCID 0000-0002-0528-5303Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Assay:GWAS summary statistics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Chong Yon ParkiD· 3 shared Disha SharmaiD· 2 shared Ewa Bielczyk-MaczyńskaiD· 2 shared Ivan Carcamo‐OriveiD· 2 shared Johanne Marie JusteseniD· 2 shared Joshua W. KnowlesiD· 2 shared Michael J. GloudemansiD· 2 shared Peter Saliba‐GustafssoniD· 2 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Chong Yon ParkORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicineHepatologyPeer-reviewedAug 27, 2024

A functional genomic framework to elucidate novel causal non-alcoholic fatty liver disease genes

Peter Saliba‐Gustafsson, Johanne Marie Justesen, Amanda Ranta…·Joshua W. Knowles

This study identifies novel causal genes for NAFLD using a combination of GWAS, genetic colocalization, and CRISPRi functional screens.

13 citations

humanGWAS summary statistics

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Molecular BiologybioRxivPreprintJun 27, 2022

CROP-Seq: a single-cell CRISPRi platform for characterizing candidate genes relevant to metabolic disorders in human adipocytes

Ewa Bielczyk-Maczyńska, Disha Sharma, Montgomery Blencowe…·Jiehan Li

CROP-Seq uses CRISPRi and scRNA-Seq to screen gene targets in adipocytes, identifying gene knock-down effects and novel regulators of adipogenesis and metabolic disease.

1 citation

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GeneticsNature CommunicationsPeer-reviewedSep 6, 2019

Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight novel adipocyte biology

Yosuke Tanigawa, Jiehan Li, Johanne Marie Justesen…·Manuel A. Rivas

The paper uses DeGAs to identify genetic components across 2,138 phenotypes in the UK Biobank, revealing novel adipocyte biology through variant and gene contributions to obesity-related traits.

82 citationstop 3%

humanGWAS summary statistics

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