Author

Owen Tang

The University of SydneyORCID 0000-0001-5878-1311Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:GWAS / association mapping· 2 Assay:scRNA-seq· 2 Assay:whole-genome sequencing· 2 Assay:ATAC-seq· 1 Research Focus:batch correction / integration· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Stuart M. GrieveiD· 3 shared Albert HenryiD· 2 shared Alex William HewittiD· 2 shared Amy MiniteriD· 2 shared Angli XueiD· 2 shared Anna S. E. CuomoiD· 2 shared Arthur S. LeeiD· 2 shared Bindu Swapna MadalaiD· 2 shared

Activity by Year

2021-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Stuart M. GrieveORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Genetic & Genomic MedicineNaturePeer-reviewedOct 28, 2026

✦ In-depth digest

Impact of Rare and Common Genetic Variation on Cell Type-Specific Gene Expression

Anna S. E. Cuomo, Eleanor Spenceley, Hope A. Tanudisastro…·Joseph E. Powell

Single-cell eQTL mapping in 5.4 million PBMCs from 1,925 individuals with matched WGS finds common-variant eQTLs for 83% and rare-variant signals for 47% of 21,404 genes.

28 citationstop 1%

humanscRNA-seq

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GenomicsNaturePeer-reviewedOct 28, 2026

Tandem repeat variation shapes immune cell type-specific gene expression

Hope A. Tanudisastro, Anna S. E. Cuomo, Ben Weisburd…·Daniel G. MacArthur

The paper identifies immune cell type-specific gene expression regulated by tandem repeats using multi-omics data from large cohorts.

13 citationstop 1%

humanwhole-genome sequencing

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BioinformaticsNature CommunicationsPeer-reviewedAug 17, 2021

hRUV: Hierarchical approach to removal of unwanted variation for large-scale metabolomics data

Tai-Yun Kim, Owen Tang, Stephen Thomas Vernon…·Jean Yee Hwa Yang

The paper introduces hRUV, a hierarchical method to remove unwanted variation in large-scale metabolomics data, showing improved preservation of biological signals.

56 citations

humanmetabolomics

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