Author

Reza Sodaei

Universitat Pompeu Fabra

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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Research Focus:differential expression· 3 Organism:human· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:gene regulatory network inference· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Roderic GuigóiD· 3 shared Ayellet V. SegrèiD· 2 shared François AguetiD· 2 shared Jie QuaniD· 2 shared Kristin ArdlieiD· 2 shared Alexandra J. ScottiD· 1 shared Alexis J. BattleiD· 1 shared Alvaro BarbeiraiD· 1 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenomics

Roderic GuigóORCID

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3 papers

Recent·Most cited

Day-night and seasonal variation of human gene expression across tissues

Valentin Wucher, Reza Sodaei, Raziel Amador, Manuel Irimia, Roderic Guigó

The paper investigates day-night and seasonal gene expression variation across human tissues using GTEx data, finding unique patterns in different tissues and conserved clock gene differences across species.

PLoS Biology · Feb 6, 2023Peer-reviewedGenomics

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

A systematic survey of human tissue-specific gene expression and splicing reveals new opportunities for therapeutic target identification and evaluation

Robert Yang, Jie Quan, Reza Sodaei, François Aguet, Ayellet V. Segrè, John Allen, Thomas A. Lanz, Veronica Reinhart, Matthew E. Crawford, Samuel A. Hasson, Kristin Ardlie, Roderic Guigó, Hualin Simon Xi

The paper analyzes tissue-specific gene expression and splicing across 8527 RNA-seq samples to identify therapeutic targets and prioritize disease-associated genes.

bioRxiv · Apr 30, 2018 · PreprintGenomics