Author

Lara Brown

Brigham and Women's Hospital

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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Genetic & Genomic Medicine· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:variant effect prediction· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Assay:CRISPR screen· 1 Assay:GWAS summary statistics· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Christopher A. CassaiD· 2 shared Tian Yu· 2 shared Vineel BhatiD· 2 shared David Benjamin AscheriD· 1 shared Guillaume LettreiD· 1 shared Jayoung RyuiD· 1 shared Luca PinelloiD· 1 shared Manuel TognoniD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Christopher A. CassaORCID

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2 papers

Recent·Most cited

Extracting and calibrating evidence of variant pathogenicity from population biobank data

Vineel Bhat, Tian Yu, Lara Brown, Vikas Rao Pejaver, Matthew S. Lebo, Steven M. Harrison, Christopher A. Cassa

The paper uses population biobank data to identify and calibrate evidence of variant pathogenicity for 41 genes, finding that 2.6% of participants have rare variants with moderate or stronger evidence of pathogenicity.

The American Journal of Human Genetics · Jul 15, 2025Peer-reviewedGenetic & Genomic Medicine

Joint genotypic and phenotypic outcome modeling improves base editing variant effect quantification

Jayoung Ryu, Sam Barkal, Tian Yu, Martin Jankowiak, Yunzhuo Zhou, Matthew Francoeur, Quang Vinh Phan, Zhijian Li, Manuel Tognon, Lara Brown, Michael I. Love, Vineel Bhat, Guillaume Lettre, David Benjamin Ascher, Christopher A. Cassa, , Luca Pinello

This paper improves variant effect quantification in base editing screens by integrating genotypic and phenotypic data using a Bayesian network called BEAN.

Nature Genetics · Apr 24, 2024Peer-reviewedGenetic & Genomic Medicine