Author

Mary Grace Gordon

University of California, San Francisco

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Organism:human· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Research Focus:eQTL / molecular QTL mapping· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Brunilda BalliuiD· 2 shared Chun YeiD· 2 shared Noah ZaitleniD· 2 shared Alexander GuseviD· 1 shared Amanda RantaiD· 1 shared Anchit Tandon· 1 shared Andrew C. LuiD· 1 shared Andrew Y. LuiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersGenomics

Brunilda BalliuORCID

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2 papers

Recent·Most cited

FastGxC: Fast and Powerful Context-Specific eQTL Mapping in Bulk and Single-Cell Data

Lena Krockenberger, Andrew Y. Lu, Mike Thompson, Lise A. Tucker, Cuining Liu, Mary Grace Gordon, Amanda Ranta, Ivan Carcamo‐Orive, Joshua W. Knowles, Andy Dahl, Chun Ye, Noah Zaitlen, Brunilda Balliu

FastGxC efficiently maps context-specific eQTLs in bulk and single-cell RNA-seq data, improving power and speed while enhancing biological relevance and trait association precision.

Cell Genomics · May 18, 2026Peer-reviewedGenomics

Multi-context genetic modeling of transcriptional regulation resolves novel disease loci

Michael Thompson, Mary Grace Gordon, Andrew C. Lu, Anchit Tandon, Eran Halperin, Alexander Gusev, Chun Ye, Brunilda Balliu, Noah Zaitlen

The paper introduces CONTENT, a method for multi-context genetic modeling of transcriptional regulation, which improves power and discovers more gene-phenotype associations in TWAS.

Nature Communications · Sep 28, 2022Peer-reviewedGenomics