Publication

Use of a rare disease registry for establishing phenotypic classification of previously unassigned GLA variants: a consensus classification system by a multispecialty Fabry disease genotype-phenotype workgroup

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Last modified
  • 05/21/2025
Type of Material
Authors
    Dominique Germain, Universite Paris SaclayJoao Paulo Oliveira, University of PortoDaniel G. Bichet, University of MontrealHan-Wook Yoo, University of UlsanRobert J. Hopkin, Cincinnati Childrens Hospital Medical CenterRoberta Lemay, Sanofi GenzymeJuan Politei, Fdn Estudio Enfermedades Neurometab FESENChristoph Wanner, University of WurzburgWilliam Wilcox, Emory UniversityDavid G. Warnock, University of Alabama Birmingham
Language
  • English
Date
  • 2020-08-01
Publisher
  • BMJ Publishing Group
Publication Version
Copyright Statement
  • © Author(s) (or their employer(s)) 2020.
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 57
Issue
  • 8
Start Page
  • 542
End Page
  • 551
Grant/Funding Information
  • DPG was supported by the Plan National Maladies Rares of the French Ministry of Health.
  • The authors received editorial/writing support in the preparation of this manuscript from Tom Rouwette of Excerpta Medica, funded by Sanofi Genzyme, and Hans Ebels of Sanofi Genzyme.
  • This research was funded by Sanofi Genzyme, the sponsor of the Fabry Registry.
Supplemental Material (URL)
Abstract
  • Background Fabry disease (α-galactosidase deficiency) is an X-linked genetic disease caused by a variety of pathogenic GLA variants. The phenotypic heterogeneity is considerable, with two major forms, classic and later-onset disease, but adjudication of clinical phenotype is currently lacking for many variants. We aimed to determine consensus phenotypic classification for previously unclassified GLA variants from the GLA-specific fabry-database.org database. Methods A Fabry disease genotype–phenotype workgroup developed a five-stage iterative system based on expert clinical assessment, published literature and clinical evidence of pathogenicity using a 2-point scoring system based on clinical hallmarks of classic disease. Kaplan–Meier (KM) analysis of severe clinical event-free survival was used as final validation. Results were compared with those from web-based disease databases and in silico pathogenicity prediction programmes. Results Final consensus on classifications of ‘pathogenic’ was achieved for 32 of 33 GLA variants (26 ‘classic’ phenotype, 171 males; 6 ‘later-onset’ phenotype, 57 males). One variant remained of uncertain significance. KM curves were similar for the known fabry-database.org database phenotypes and when workgroup consensus classifications were added, and the curves retained the same separation between ‘classic’ and ‘later-onset’ phenotypes. Conclusion The iterative system implemented by a Fabry disease genotype–phenotype workgroup achieved phenotypic classifications for variants that were previously unclassified. Clinical pathogenicity associated with a particular GLA variant defined in affected males appears to have predictive value and also generally correlates with risk for affected females. The newly established classifications can be of benefit to the clinical care of Fabry patients harbouring these variants.
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Keywords
Research Categories
  • Health Sciences, Pharmacology
  • Biology, Genetics
  • Biology, Neuroscience

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