Author

Mark W. Craven

University of Wisconsin–MadisonORCID 0000-0002-8917-7464Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:variant effect prediction· 2 Assay:whole-exome sequencing· 2

Frequent Co-Authors

Douglas M. FowleriD· 2 shared Jeremy StoneiD· 2 shared Lea M. StaritaiD· 2 shared Mariam BenazouziD· 2 shared Predrag Radivojac AiD· 2 shared Ross StewartiD· 2 shared Shantanu JainiD· 2 shared Shawn FayeriD· 2 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetics

Douglas M. FowlerORCID

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2 papers

Recent·Most cited

Gene- and domain-aware calibration increases the clinical utility of variant effect predictors

Y P Chen, Shawn Fayer, Shantanu Jain, Mariam Benazouz, Yuriy Sverchkov, Jeremy Stone, Himanshu Sharma, Timothy R. Bergquist, Ross Stewart, Sean David Mooney, Mark W. Craven, Predrag Radivojac A, Lea M. Starita, Douglas M. Fowler, Vikas Rao Pejaver

This paper improves variant effect predictors by calibrating them gene- and domain-aware, increasing evidence assignment and accuracy for variant classification.

bioRxiv · Mar 31, 2026 · PreprintGenetics

A scalable approach to resolving variants of uncertain significance

Malvika Tejura, Y P Chen, Abbye E. McEwen, Ross Stewart, Yuriy Sverchkov, Florent Laval, Ivan M. H. Woo, Daniel Zeiberg, Runxi Shen, Shawn Fayer, Jeremy Stone, Nahum T. Smith, Silvia Casadei, Ziyu R. Wang, Matthew W. Snyder, , Lea M. Starita

The paper develops a scalable workflow to reclassify variants of uncertain significance using experimental and predictive evidence, resolving 75% of VUS in 40 genes.

bioRxiv · Feb 23, 2026 · PreprintGenomics