Author

Serina Huang

University of California San DiegoORCID 0000-0002-0126-3502Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Organism:human· 2 Assay:scATAC-seq· 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

Frequent Co-Authors

David U. GorkiniD· 2 shared Jee Yun HaniD· 2 shared Joshua ChiouiD· 2 shared Kyle J. GaultoniD· 2 shared Maike SanderiD· 2 shared Mei-Lin Okino· 2 shared Michael MilleriD· 2 shared Sebastian PreißliD· 2 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

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2 shared papersGenetics

David U. GorkinORCID

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2 papers

Recent·Most cited

Large-scale genetic association and single cell accessible chromatin mapping defines cell type-specific mechanisms of type 1 diabetes risk

Joshua Chiou, Ryan J. Geusz, Mei-Lin Okino, Jee Yun Han, Michael Miller, Rebecca L. Melton, Elisha Beebe, Paola Benaglio, Serina Huang, Katha Korgaonkar, Sandra Heller, Alexander Kleger, Sebastian Preißl, David U. Gorkin, Maike Sander, Kyle J. Gaulton

This study combines large-scale GWAS and single-cell epigenomics to identify cell type-specific mechanisms of type 1 diabetes risk.

Nature · May 19, 2021Peer-reviewedGenetics

Single cell chromatin accessibility reveals pancreatic islet cell type- and state-specific regulatory programs of diabetes risk

Joshua Chiou, Chun Zeng, Cheng Zhang, Jee Yun Han, Michael Schlichting, Michael Miller, Robert Mendez, Serina Huang, Jinzhao Wang, Yinghui Sui, Allison Deogaygay, Mei-Lin Okino, Yunjiang Qiu, Ying Sun, Parul Kudtarkar, , Kyle J. Gaulton

The paper uses single-cell chromatin accessibility to identify cell type- and state-specific regulatory programs associated with type 2 diabetes risk.

Nature Genetics · Apr 1, 2021Peer-reviewedGenomics