Author

Tan Hoang Nguyen

Virginia Commonwealth UniversityORCID 0000-0002-8786-6573Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Silviu‐Alin BacanuiD· 3 shared Brien P. RileyiD· 2 shared Roseann Elizabeth PetersoniD· 2 shared Vladimir I. VladimiroviD· 2 shared Amanda Elswick GentryiD· 1 shared Ayman H. FanousiD· 1 shared Bradley Todd WebbiD· 1 shared Brion Maher· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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Focal author (center)Selected co-authorORCID co-authorUnlinked name

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3 shared papersGenetic & Genomic Medicine

Silviu‐Alin BacanuORCID

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Author profile →

3 papers

Recent·Most cited

Gene-Set Based Rare Variant Association Analysis of Whole Genome Sequencing Data in the Portuguese Island Collection for Schizophrenia and Bipolar Disorder

Hamed Kazemi, John Drake, Tim Bigdeli, Silviu‐Alin Bacanu, Tan Hoang Nguyen, Kelly Suzanne Benke, Brion Maher, James Knowles, Steven A. McCarroll, Célia Barreto Carvalho, Helena Medeiros, Rute Ferreira, Michele T. Pato, Carlos Pato, Vladimir I. Vladimirov, Ayman H. Fanous

The paper performs rare variant association analysis using whole-genome sequencing data from the Portuguese Island Collection to identify shared genetic pathways in schizophrenia and bipolar disorder.

medRxiv · Jun 1, 2026 · PreprintGenetic & Genomic Medicine

Improving the discovery of rare variants associated with alcohol problems by leveraging machine learning phenotype prediction and functional information.

Mohammad Mehdi Ahangari, Amanda Elswick Gentry, Mohammed Falih Hassan, Tan Hoang Nguyen, Kenneth S. Kendler, Silviu‐Alin Bacanu, Roseann Elizabeth Peterson, Brien P. Riley, Bradley Todd Webb

This study uses machine learning and functional weights to identify rare variants associated with AUDIT-P, finding significant associations in ADH1C and THRA genes.

bioRxiv · Sep 11, 2023 · PreprintGenetics

Identifying potential risk genes and pathways for neuropsychiatric and substance use disorders using intermediate molecular mediator information

Hüseyin Gedik, Tan Hoang Nguyen, Roseann Elizabeth Peterson, Christos Chatzinakos, Brien P. Riley, Vladimir I. Vladimirov, Silviu‐Alin Bacanu

This paper identifies risk genes and pathways for neuropsychiatric and substance use disorders using XWAS analyses in blood and brain tissues, finding shared signals in the MHC region and other genomic areas.

Frontiers in Genetics · Jun 21, 2023Peer-reviewedGenetic & Genomic Medicine