Author

Grace Zhuo Yu

University of OxfordORCID 0000-0002-4159-7398Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:fine-mapping· 1

Frequent Co-Authors

Anna L. GloyniD· 2 shared Fernando Abaitua· 2 shared Agata Wesolowska‐AnderseniD· 1 shared Anubha MahajaniD· 1 shared Han SuniD· 1 shared Hans HauneriD· 1 shared Hesam DashtiiD· 1 shared Jason TorresiD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersPhysiology

Anna L. GloynORCID

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2 papers

Recent·Most cited

Loss of RREB1 reduces adipogenesis and improves insulin sensitivity in mouse and human adipocytes

Grace Zhuo Yu, Nicole A. J. Krentz, Liz Bentley, Meng Zhao, Keanu Paphiti, Han Sun, Julius Honecker, Marcus Nygård, Hesam Dashti, Ying Bai, Madeleine Reid, Swaraj Thaman, Martin Wabitsch, Varsha Rajesh, Jing Yang, , Anna L. Gloyn

This study shows that reducing RREB1 in mice and humans decreases adipogenesis and improves insulin sensitivity, linking RREB1 to type 2 diabetes risk.

bioRxiv · Jul 30, 2024 · PreprintPhysiology

Deep learning models predict regulatory variants in pancreatic islets and refine type 2 diabetes association signals

Agata Wesolowska‐Andersen, Grace Zhuo Yu, Vibe Nylander, Fernando Abaitua, Matthias Thurner, Jason Torres, Anubha Mahajan, Anna L. Gloyn, Mark I. McCarthy

The paper uses deep learning models to predict regulatory variants in pancreatic islets and refines T2D association signals by integrating epigenomic data with genetic fine-mapping.

eLife · Jan 27, 2020Peer-reviewedBioinformatics