Author

Abhay Hukku

University of Michigan

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Genetics· 2 Bioinformatics· 1 Genetic & Genomic Medicine· 1 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:drug response / drug discovery· 2 Assay:GWAS summary statistics· 2 Organism:human· 2 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Francesca LucaiD· 3 shared Roger Piqué-RegiiD· 3 shared Xiaoquan WeniD· 3 shared Emily Rose HolzingeriD· 2 shared Joseph C. MaranvilleiD· 2 shared Alan L SuiD· 1 shared Angela ChaniD· 1 shared Annalisa BunielloiD· 1 shared

Activity by Year

2019-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

Click any collaborator node to inspect or filter shared papers

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

Curved chords = mutual co-authorship

3 shared papersGenetics

Francesca LucaORCID

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Deep mutational scanning reveals pharmacologically relevant insights into TYK2 signaling and disease

Conor J Howard, Nathan S. Abell, Robert Warneford-Thomson, Eden Mahdavi, Alan L Su, Carmen Resnick, Nabil Mohammed, Erin M. Thompson, Emily Rose Holzinger, Katrina A. Catalano, Abhay Hukku, Gabriel A. Mintier, Morgan MacKenzie, Bryan L. Jiang, Dora Barbosa Rabago, , Diane E. Dickel

This study uses deep mutational scanning to analyze TYK2 variants and their impact on function and drug response, identifying novel therapeutic targets and degradation strategies.

eLife · Jun 10, 2026Peer-reviewedGenomics

Impact of proteogenomic evidence on clinical success

Mohd Anisul Karim, Abhay Hukku, Bruno Ariano, Emily Rose Holzinger, Yakov A. Tsepilov, James D. Hayhurst, Annalisa Buniello, Ellen M. McDonagh, Stephane E. Castel, Matthew R. Nelson, Joseph Maranville, Laura M. Yerges-Armstrong, Maya Ghoussaini

This study shows that plasma protein quantitative trait loci (pQTL) support therapeutic hypotheses more effectively than other genetic evidence, increasing the likelihood of drug development success.

medRxiv · Mar 5, 2026 · PreprintGenetic & Genomic Medicine

Analyzing and Reconciling Colocalization and Transcriptome-wide Association Studies from the Perspective of Inferential Reproducibility

Abhay Hukku, Matthew Gordon Sampson, Francesca Luca, Roger Piqué-Regi, Xiaoquan Wen

This paper investigates the inferential reproducibility between transcriptome-wide association studies and colocalization analysis, identifying two classes of inconsistent results and proposing a novel approach to reconcile them.

The American Journal of Human Genetics · May 1, 2022Peer-reviewedGenetics

Probabilistic Colocalization of Genetic Variants from Complex and Molecular Traits: Promise and Limitations

Abhay Hukku, Milton Pividori, Francesca Luca, Roger Piqué-Regi, Hae Kyung Im, Xiaoquan Wen

The paper evaluates colocalization methods for genetic variants, identifying limitations and recommending best practices for accurate analysis of complex traits and molecular QTLs.

The American Journal of Human Genetics · Dec 11, 2020Peer-reviewedGenetics

BAGSE: a Bayesian hierarchical model approach for gene set enrichment analysis

Abhay Hukku, Corbin Quick, Francesca Luca, Roger Piqué-Regi, Xiaoquan Wen

BAGSE provides a Bayesian hierarchical model for gene set enrichment analysis, offering accurate enrichment quantification and improved power in gene discovery.

Bioinformatics · Nov 6, 2019Peer-reviewedBioinformatics