Author

Leanne Brown

Icahn School of Medicine at Mount Sinai

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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Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Alexander W. CharneyiD· 2 shared Amanda L. DobbyniD· 2 shared Andrew Browne· 2 shared Andrew J. ChessiD· 2 shared Attila Gulyás-Kovács· 2 shared Barbara K. Lipska· 2 shared Bernie DevliniD· 2 shared Bibi S. Kassim· 2 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetics

Alexander W. CharneyORCID

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2 papers

Recent·Most cited

Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions

Solveig K. Sieberts, Thanneer Malai Perumal, Minerva M. Carrasquillo, Mariet Allen, Joseph S. Reddy, Gabriel E. Hoffman, Kristen K. Dang, John N. Calley, Philip J. Ebert, James A. Eddy, Xue Wang, Anna K. Greenwood, Sara Mostafavi, Schahram Akbarian, Jaroslav M. Bendl, , Chris Gaiteri

This paper performs a large-scale eQTL meta-analysis across cerebral cortical and cerebellar brain regions, identifying distinct eQTL patterns and demonstrating improved power over existing studies.

Scientific Data · Oct 12, 2020Peer-reviewedGenetics

Functional annotation of rare structural variation in the human brain

Lide Han, Xuefang Zhao, Mary Lauren Benton, Thanneer Malai Perumal, Ryan L. Collins, Gabriel E. Hoffman, Jessica Johnson, Laura Gail Sloofman, Harold Z. Wang, Matthew R. Stone, Schahram Akbarian, Jaroslav M. Bendl, Michael S. Breen, Kristen Brennand, Leanne Brown, , Michael E. Talkowski

The paper functionally annotates rare structural variants in the human brain by integrating SV calling with RNA-seq data to assess their regulatory effects and prioritize pathogenic deletions.

Nature Communications · Jun 12, 2020Peer-reviewedGenomics