Author

Dana M. Bis‐Brewer

University of MiamiORCID 0000-0002-4953-3487Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Genetic & Genomic Medicine· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Organism:Drosophila· 1 Approach:experimental assay· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

A. A. AvetisyaniD· 1 shared Alexander Y. Tchourbanov· 1 shared Alexandra LarsoniD· 1 shared Alicia B. ByrneiD· 1 shared Amanda B. SpurdleiD· 1 shared Amanda S. LindyiD· 1 shared Ashley A. Cass· 1 shared Daffodil M. CansoniD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 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

1 shared paperNeuroscience

A. A. AvetisyanORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

A dNmnat-sensitized in vivo platform for unbiased discovery of regulators of neurodegeneration

A. A. Avetisyan, Ernesto Manzo, Romina Barria, Magdalena Kocia, Jiun-Min Hsu, Alexandra Larson, Rachel Weirnick, Kavya Balasubramanian, Nathan Blackwell, Micheal Freeman, Dana M. Bis‐Brewer, Sarah Fazal, Stefan Schüchner, Lukas Jakob Neukomm, Marc Freeman

This paper develops a genetic screening platform in Drosophila to identify regulators of axon degeneration by depleting dNmnat, revealing new factors that influence neuronal survival and NAD+ homeostasis.

bioRxiv · Sep 25, 2025 · PreprintNeuroscience

APPLICATION OF THE ACMG/AMP FRAMEWORK TO CAPTURE EVIDENCE RELEVANT TO PREDICTED AND OBSERVED IMPACT ON SPLICING: RECOMMENDATIONS FROM THE CLINGEN SVI SPLICING SUBGROUP

Logan C. Walker, Miguel de la Hoya, George A. R. Wiggins, Amanda S. Lindy, Lisa M. Vincent, Michael T. Parsons, Daffodil M. Canson, Dana M. Bis‐Brewer, Ashley A. Cass, Alexander Y. Tchourbanov, Heather Zimmermann, Alicia B. Byrne, Tina F. Pesaran, Rachid Karam, Steven M. Harrison, Amanda B. Spurdle

The paper refines ACMG/AMP splicing variant classification codes using empirical evidence to improve consistency in variant pathogenicity classification.

medRxiv · Feb 24, 2023 · PreprintGenetic & Genomic Medicine