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Article
Identification of disease-linked hyperactivating mutations in UBE3A through large-scale functional variant analysis
Nature Communications
  • Kellan P. Weston, Washington University School of Medicine in St. Louis
  • Xiaoyi Gao, Washington University School of Medicine in St. Louis
  • Jinghan Zhao, Washington University School of Medicine in St. Louis
  • Kwang Soo Kim, Washington University School of Medicine in St. Louis
  • Susan E. Maloney, Washington University School of Medicine in St. Louis
  • Jill Gotoff, Geisinger Medical Center
  • Sumit Parikh, Cleveland Clinic Foundation
  • Yen Chen Leu, Academia Sinica, Institute of Biological Chemistry
  • Kuen Phon Wu, Academia Sinica, Institute of Biological Chemistry
  • Marwan Shinawi, St. Louis Children's Hospital
  • Joshua P. Steimel, University of the Pacific
  • Joseph S. Harrison, University of the Pacific
  • Jason J. Yi, Washington University School of Medicine in St. Louis
ORCID
Joseph Harrison: 0000-0002-2118-6524
Document Type
Article
Department
Chemistry
DOI
10.1038/s41467-021-27156-0
Publication Date
12-1-2021
Disciplines
Abstract

The mechanisms that underlie the extensive phenotypic diversity in genetic disorders are poorly understood. Here, we develop a large-scale assay to characterize the functional valence (gain or loss-of-function) of missense variants identified in UBE3A, the gene whose loss-of-function causes the neurodevelopmental disorder Angelman syndrome. We identify numerous gain-of-function variants including a hyperactivating Q588E mutation that strikingly increases UBE3A activity above wild-type UBE3A levels. Mice carrying the Q588E mutation exhibit aberrant early-life motor and communication deficits, and individuals possessing hyperactivating UBE3A variants exhibit affected phenotypes that are distinguishable from Angelman syndrome. Additional structure-function analysis reveals that Q588 forms a regulatory site in UBE3A that is conserved among HECT domain ubiquitin ligases and perturbed in various neurodevelopmental disorders. Together, our study indicates that excessive UBE3A activity increases the risk for neurodevelopmental pathology and suggests that functional variant analysis can help delineate mechanistic subtypes in monogenic disorders.

Comments
Funding Sponsor: National Institute of Mental Health, R01MH122786
Creative Commons License
Creative Commons Attribution 4.0 International
Citation Information
Kellan P. Weston, Xiaoyi Gao, Jinghan Zhao, Kwang Soo Kim, et al.. "Identification of disease-linked hyperactivating mutations in UBE3A through large-scale functional variant analysis" Nature Communications Vol. 12 Iss. 1 (2021) ISSN: 2041-1723
Available at: http://works.bepress.com/joseph-harrison/42/