Author

Anh Leith

University of Washington

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· 3

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Assay:CRISPR screen· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Beth MartiniD· 3 shared Jay ShendureiD· 3 shared Choli LeeiD· 2 shared Riza M. DazaiD· 2 shared Andria Ellis· 1 shared Cole TrapnelliD· 1 shared Diego CalderoniD· 1 shared Eva K. NicholsiD· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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3 shared papersGenomics

Beth MartinORCID

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Author profile →

3 papers

Recent·Most cited

Multiplex genomic recording of enhancer and signal transduction activity in mammalian cells

Wei Chen, Junhong Choi, Jenny F. Nathans, Vikram Agarwal, Beth Martin, Eva K. Nichols, Anh Leith, Choli Lee, Jay Shendure

This paper introduces ENGRAM, a method to genomically record enhancer and signal transduction activity in mammalian cells, demonstrating its ability to track multiple transcriptional reporters with high fidelity.

bioRxiv · Nov 5, 2021 · PreprintGenomics

TransMPRA: A framework for assaying the role of many trans-acting factors at many enhancers

Diego Calderon, Andria Ellis, Riza M. Daza, Beth Martin, Jacob M. Tome, Wei Chen, Florence M. Chardon, Anh Leith, Choli Lee, Cole Trapnell, Jay Shendure

TransMPRA combines CRISPR perturbation and MPRAs to identify trans-acting factors influencing enhancer activity.

bioRxiv · Sep 30, 2020 · PreprintGenomics

Accurate functional classification of thousands of BRCA1 variants with saturation genome editing

Gregory M. Findlay, Riza M. Daza, Beth Martin, Melissa D. Zhang, Anh Leith, Molly J. Gasperini, Joseph D. Janizek, Xingfan Huang, Lea M. Starita, Jay Shendure

The paper functionally classifies thousands of BRCA1 variants using saturation genome editing to determine their impact on cancer risk.

Nature · Sep 11, 2018Peer-reviewedGenomics