Author

Jiamao Zheng

University of Chicago

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· 2

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:eQTL / molecular QTL mapping· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Alvaro BarbeiraiD· 2 shared Heather E. WheeleriD· 2 shared Alexandra J. ScottiD· 1 shared Alexis J. BattleiD· 1 shared Andrew B. NobeliD· 1 shared Andrew BrowniD· 1 shared Andrey A. ShabaliniD· 1 shared Anne W. Ndungu· 1 shared

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2018-2019 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Alvaro BarbeiraORCID

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2 papers

Recent·Most cited

GenomicsPLoS GeneticsPeer-reviewedJan 22, 2019

Integrating Predicted Transcriptome From Multiple Tissues Improves Association Detection

Alvaro Barbeira, Milton Pividori, Jiamao Zheng…·Hae Kyung Im

The paper introduces MulTiXcan, a method that improves association detection by integrating eQTL data across tissues, showing it identifies more significant genes than single-tissue analyses.

361 citationstop 1%

humanGWAS summary statistics

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GenomicsNature CommunicationsPeer-reviewedMay 2, 2018

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

Alvaro Barbeira, Scott P. Dickinson, Rodrigo Bonazzola…·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.

68 citationstop 3%

humanGWAS summary statistics

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