Author

He Li

University of California San DiegoORCID 0000-0002-8617-6503Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

He Li10 papers · Binzhou Medical University

Biology Disciplines

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Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Organism:human· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Research Focus:differential expression· 1 Research Focus:fine-mapping· 1 Research Focus:gene regulatory network inference· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Agnieszka D’Antonio‐ChronowskaiD· 2 shared Angelo D. Arias· 2 shared Athanasia D. PanopoulosiD· 2 shared Benjamin A. Henson· 2 shared Bianca M. Salgado· 2 shared Christopher DeBoeveriD· 2 shared Daniel T. O’Connor· 2 shared David A. JakuboskyiD· 2 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Agnieszka D’Antonio‐ChronowskaORCID

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2 papers

Recent·Most cited

Analysis of regulatory network modules in hundreds of human stem cell lines reveals complex epigenetic and genetic factors contribute to pluripotency state differences between subpopulations

Timothy D. Arthur, Jennifer Nguyen, Agnieszka D’Antonio‐Chronowska, Hiroko Matsui, Nayara Sousa da Silva, Isaac N. Joshua, Lana Ribeiro Aguiar, Angelo D. Arias, Paola Benaglio, W. Travis Berggren, Juan Carlos Izpisúa Belmonte, Victor Borja, Megan Cook, Christopher DeBoever, Kenneth E. Diffenderfer, , Kelly A. Frazer

The paper identifies regulatory network modules in human stem cells, showing epigenetic and genetic factors influence pluripotency state differences.

Nature Communications · Feb 23, 2024Peer-reviewedGenomics

Fine mapping spatiotemporal mechanisms of genetic variants underlying cardiac traits and disease

Matteo D’Antonio, Jennifer Nguyen, Timothy D. Arthur, Angelo D. Arias, Paola Benaglio, W. Travis Berggren, Victor Borja, Juan Carlos Izpisúa Belmonte, Megan Cook, Christopher DeBoever, Kenneth E. Diffenderfer, Margaret K. R. Donovan, KathyJean Farnam, Kelly A. Frazer, Kyohei Fujita, , Agnieszka D’Antonio‐Chronowska

This study identifies causal genetic variants for cardiac traits by integrating spatiotemporal eQTL analysis with GWAS data, showing stage- and tissue-specific effects.

Nature Communications · Feb 28, 2023Peer-reviewedGenetics