Author

Ellen Gelfand

Broad Institute

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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Organism:human· 3 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:eQTL / molecular QTL mapping· 1 Approach:experimental assay· 1

Frequent Co-Authors

Christopher D. BrowniD· 2 shared François AguetiD· 2 shared Gen Li· 2 shared Kristin ArdlieiD· 2 shared Xiao Li· 2 shared Yuan He· 2 shared Alexandra J. ScottiD· 1 shared Alexis Battle· 1 shared

Activity by Year

2016-2018 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersGenomics

Christopher D. BrownORCID

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3 papers

Recent·Most cited

Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics

Alvaro Barbeira, Scott P. Dickinson, Rodrigo Bonazzola, Jiamao Zheng, Heather E. Wheeler, Jason M. Torres, Eric S. Torstenson, Kaanan P. Shah, Tzintzuni Garcia, Todd L. Edwards, Eli Stahl, Laura M. Huckins, François Aguet, Kristin Ardlie, Beryl B. Cummings, , Benjamin J. Strober

The paper develops S-PrediXcan to compute gene expression associations from GWAS summary data and applies it to 44 GTEx tissues and 100+ phenotypes, finding tissue-specific effects and colocalized associations.

Nature Communications · May 2, 2018Peer-reviewedGenomics

DroNc-Seq: Deciphering cell types in human archived brain tissues by massively-parallel single nucleus RNA-seq

Naomi Habib, Inbal Avraham‐Davidi, Anindita Basu, Tyler Burks, Karthik Shekhar, Matan Hofree, Sourav Choudhury, François Aguet, Ellen Gelfand, Kristin Ardlie, David A. Weitz, Orit Rozenblatt–Rosen, Feng Zhang, Aviv Regev

DroNc-Seq enables high-throughput single nucleus RNA-seq analysis of archived brain tissues, demonstrating efficient and unbiased cell type classification in mouse and human samples.

Nature Methods · Aug 28, 2017Peer-reviewedGenomics

Local genetic effects on gene expression across 44 human tissues

François Aguet, Andrew A. Brown, Stephane E. Castel, Joe R. Davis, Pejman Mohammadi, Ayellet V. Segrè, Zachary Zappala, Nathan S. Abell, Laure Frésard, Eric R. Gamazon, Ellen Gelfand, Michael J. Gloudemans, Yuan He, Farhad Hormozdiari, Xiao Li, , Stephen B. Montgomery

This study identifies cis-eQTLs across 44 human tissues using GTEx data, showing 88% of genes have cis-eQTLs and demonstrating their utility in understanding complex trait etiology.

bioRxiv · Sep 9, 2016 · PreprintGenomics