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Challenging the traditional approach for interpreting genetic variants: Lessons from Fabry disease
Fabry disease (FD) is an X‐linked genetic disease due to pathogenic variants in GLA. The phenotype varies depending on the GLA variant, alpha‐galactosidase residual activity, patient's age and gender and, for females, X chromosome inactivation. Over 1000 variants have been identified, many thro...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Blackwell Publishing Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9304128/ https://www.ncbi.nlm.nih.gov/pubmed/34927718 http://dx.doi.org/10.1111/cge.14102 |
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author | Germain, Dominique P. Levade, Thierry Hachulla, Eric Knebelmann, Bertrand Lacombe, Didier Seguin, Vanessa Leguy Nguyen, Karine Noël, Esther Rabès, Jean‐Pierre |
author_facet | Germain, Dominique P. Levade, Thierry Hachulla, Eric Knebelmann, Bertrand Lacombe, Didier Seguin, Vanessa Leguy Nguyen, Karine Noël, Esther Rabès, Jean‐Pierre |
author_sort | Germain, Dominique P. |
collection | PubMed |
description | Fabry disease (FD) is an X‐linked genetic disease due to pathogenic variants in GLA. The phenotype varies depending on the GLA variant, alpha‐galactosidase residual activity, patient's age and gender and, for females, X chromosome inactivation. Over 1000 variants have been identified, many through screening protocols more susceptible to disclose non‐pathogenic variants or variants of unknown significance (VUS). This, together with the non‐specificity of some FD symptoms, challenges physicians attempting to interpret GLA variants. The traditional way to interpreting pathogenicity is based on a combined approach using allele frequencies, genomic databases, global and disease‐specific clinical databases, and in silico tools proposed by the American College of Medical Genetics and Genomics. Here, a panel of FD specialists convened to study how expertise may compare with the traditional approach. Several GLA VUS, highly controversial in the literature (p.Ser126Gly, p.Ala143Thr, p.Asp313Tyr), were re‐analyzed through reviews of patients' charts. The same was done for pathogenic GLA variants with some specificities. Our data suggest that input of geneticists and physicians with wide expertise in disease phenotypes, prevalence, inheritance, biomarkers, alleles frequencies, disease‐specific databases, and literature greatly contribute to a more accurate interpretation of the pathogenicity of variants, bringing a significant additional value over the traditional approach. |
format | Online Article Text |
id | pubmed-9304128 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Blackwell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-93041282022-07-28 Challenging the traditional approach for interpreting genetic variants: Lessons from Fabry disease Germain, Dominique P. Levade, Thierry Hachulla, Eric Knebelmann, Bertrand Lacombe, Didier Seguin, Vanessa Leguy Nguyen, Karine Noël, Esther Rabès, Jean‐Pierre Clin Genet Reviews Fabry disease (FD) is an X‐linked genetic disease due to pathogenic variants in GLA. The phenotype varies depending on the GLA variant, alpha‐galactosidase residual activity, patient's age and gender and, for females, X chromosome inactivation. Over 1000 variants have been identified, many through screening protocols more susceptible to disclose non‐pathogenic variants or variants of unknown significance (VUS). This, together with the non‐specificity of some FD symptoms, challenges physicians attempting to interpret GLA variants. The traditional way to interpreting pathogenicity is based on a combined approach using allele frequencies, genomic databases, global and disease‐specific clinical databases, and in silico tools proposed by the American College of Medical Genetics and Genomics. Here, a panel of FD specialists convened to study how expertise may compare with the traditional approach. Several GLA VUS, highly controversial in the literature (p.Ser126Gly, p.Ala143Thr, p.Asp313Tyr), were re‐analyzed through reviews of patients' charts. The same was done for pathogenic GLA variants with some specificities. Our data suggest that input of geneticists and physicians with wide expertise in disease phenotypes, prevalence, inheritance, biomarkers, alleles frequencies, disease‐specific databases, and literature greatly contribute to a more accurate interpretation of the pathogenicity of variants, bringing a significant additional value over the traditional approach. Blackwell Publishing Ltd 2021-12-28 2022-04 /pmc/articles/PMC9304128/ /pubmed/34927718 http://dx.doi.org/10.1111/cge.14102 Text en © 2021 The Authors. Clinical Genetics published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Reviews Germain, Dominique P. Levade, Thierry Hachulla, Eric Knebelmann, Bertrand Lacombe, Didier Seguin, Vanessa Leguy Nguyen, Karine Noël, Esther Rabès, Jean‐Pierre Challenging the traditional approach for interpreting genetic variants: Lessons from Fabry disease |
title | Challenging the traditional approach for interpreting genetic variants: Lessons from Fabry disease |
title_full | Challenging the traditional approach for interpreting genetic variants: Lessons from Fabry disease |
title_fullStr | Challenging the traditional approach for interpreting genetic variants: Lessons from Fabry disease |
title_full_unstemmed | Challenging the traditional approach for interpreting genetic variants: Lessons from Fabry disease |
title_short | Challenging the traditional approach for interpreting genetic variants: Lessons from Fabry disease |
title_sort | challenging the traditional approach for interpreting genetic variants: lessons from fabry disease |
topic | Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9304128/ https://www.ncbi.nlm.nih.gov/pubmed/34927718 http://dx.doi.org/10.1111/cge.14102 |
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