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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

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 m...

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Autores principales: Germain, Dominique P, Oliveira, João Paulo, Bichet, Daniel G, Yoo, Han-Wook, Hopkin, Robert J, Lemay, Roberta, Politei, Juan, Wanner, Christoph, Wilcox, William R, Warnock, David G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418626/
https://www.ncbi.nlm.nih.gov/pubmed/32161151
http://dx.doi.org/10.1136/jmedgenet-2019-106467
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author Germain, Dominique P
Oliveira, João Paulo
Bichet, Daniel G
Yoo, Han-Wook
Hopkin, Robert J
Lemay, Roberta
Politei, Juan
Wanner, Christoph
Wilcox, William R
Warnock, David G
author_facet Germain, Dominique P
Oliveira, João Paulo
Bichet, Daniel G
Yoo, Han-Wook
Hopkin, Robert J
Lemay, Roberta
Politei, Juan
Wanner, Christoph
Wilcox, William R
Warnock, David G
author_sort Germain, Dominique P
collection PubMed
description 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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spelling pubmed-74186262020-08-18 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 Germain, Dominique P Oliveira, João Paulo Bichet, Daniel G Yoo, Han-Wook Hopkin, Robert J Lemay, Roberta Politei, Juan Wanner, Christoph Wilcox, William R Warnock, David G J Med Genet Genotype-Phenotype Correlations 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. BMJ Publishing Group 2020-08 2020-03-11 /pmc/articles/PMC7418626/ /pubmed/32161151 http://dx.doi.org/10.1136/jmedgenet-2019-106467 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Genotype-Phenotype Correlations
Germain, Dominique P
Oliveira, João Paulo
Bichet, Daniel G
Yoo, Han-Wook
Hopkin, Robert J
Lemay, Roberta
Politei, Juan
Wanner, Christoph
Wilcox, William R
Warnock, David G
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Genotype-Phenotype Correlations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418626/
https://www.ncbi.nlm.nih.gov/pubmed/32161151
http://dx.doi.org/10.1136/jmedgenet-2019-106467
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