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A Schematic Approach to Defining the Prevalence of COL VI Variants in Five Years of Next-Generation Sequencing
Objective: To define the prevalence of variants in collagen VI genes through a next-generation sequencing (NGS) approach in undiagnosed patients with suspected neuromuscular disease and to propose a diagnostic flowchart to assess the real pathogenicity of those variants. Methods: In the past five ye...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735635/ https://www.ncbi.nlm.nih.gov/pubmed/36498898 http://dx.doi.org/10.3390/ijms232314567 |
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author | Marinella, Gemma Astrea, Guja Buchignani, Bianca Cassandrini, Denise Doccini, Stefano Filosto, Massimiliano Galatolo, Daniele Gallone, Salvatore Giannini, Fabio Lopergolo, Diego Maioli, Maria Antonietta Magri, Francesca Malandrini, Alessandro Mandich, Paola Mari, Francesco Massa, Roberto Mata, Sabrina Melani, Federico Moggio, Maurizio Mongini, Tiziana E. Pasquariello, Rosa Pegoraro, Elena Ricci, Federica Ricci, Giulia Rodolico, Carmelo Rubegni, Anna Siciliano, Gabriele Sperti, Martina Ticci, Chiara Tonin, Paola Santorelli, Filippo M. Battini, Roberta |
author_facet | Marinella, Gemma Astrea, Guja Buchignani, Bianca Cassandrini, Denise Doccini, Stefano Filosto, Massimiliano Galatolo, Daniele Gallone, Salvatore Giannini, Fabio Lopergolo, Diego Maioli, Maria Antonietta Magri, Francesca Malandrini, Alessandro Mandich, Paola Mari, Francesco Massa, Roberto Mata, Sabrina Melani, Federico Moggio, Maurizio Mongini, Tiziana E. Pasquariello, Rosa Pegoraro, Elena Ricci, Federica Ricci, Giulia Rodolico, Carmelo Rubegni, Anna Siciliano, Gabriele Sperti, Martina Ticci, Chiara Tonin, Paola Santorelli, Filippo M. Battini, Roberta |
author_sort | Marinella, Gemma |
collection | PubMed |
description | Objective: To define the prevalence of variants in collagen VI genes through a next-generation sequencing (NGS) approach in undiagnosed patients with suspected neuromuscular disease and to propose a diagnostic flowchart to assess the real pathogenicity of those variants. Methods: In the past five years, we have collected clinical and molecular information on 512 patients with neuromuscular symptoms referred to our center. To pinpoint variants in COLVI genes and corroborate their real pathogenicity, we sketched a multistep flowchart, taking into consideration the bioinformatic weight of the gene variants, their correlation with clinical manifestations and possible effects on protein stability and expression. Results: In Step I, we identified variants in COLVI-related genes in 48 patients, of which three were homozygous variants (Group 1). Then, we sorted variants according to their CADD score, clinical data and complementary studies (such as muscle and skin biopsy, study of expression of COLVI on fibroblast or muscle and muscle magnetic resonance). We finally assessed how potentially pathogenic variants (two biallelic and 12 monoallelic) destabilize COL6A1-A2-A3 subunits. Overall, 15 out of 512 patients were prioritized according to this pipeline. In seven of them, we confirmed reduced or absent immunocytochemical expression of collagen VI in cultured skin fibroblasts or in muscle tissue. Conclusions: In a real-world diagnostic scenario applied to heterogeneous neuromuscular conditions, a multistep integration of clinical and molecular data allowed the identification of about 3% of those patients harboring pathogenetic collagen VI variants. |
format | Online Article Text |
id | pubmed-9735635 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97356352022-12-11 A Schematic Approach to Defining the Prevalence of COL VI Variants in Five Years of Next-Generation Sequencing Marinella, Gemma Astrea, Guja Buchignani, Bianca Cassandrini, Denise Doccini, Stefano Filosto, Massimiliano Galatolo, Daniele Gallone, Salvatore Giannini, Fabio Lopergolo, Diego Maioli, Maria Antonietta Magri, Francesca Malandrini, Alessandro Mandich, Paola Mari, Francesco Massa, Roberto Mata, Sabrina Melani, Federico Moggio, Maurizio Mongini, Tiziana E. Pasquariello, Rosa Pegoraro, Elena Ricci, Federica Ricci, Giulia Rodolico, Carmelo Rubegni, Anna Siciliano, Gabriele Sperti, Martina Ticci, Chiara Tonin, Paola Santorelli, Filippo M. Battini, Roberta Int J Mol Sci Article Objective: To define the prevalence of variants in collagen VI genes through a next-generation sequencing (NGS) approach in undiagnosed patients with suspected neuromuscular disease and to propose a diagnostic flowchart to assess the real pathogenicity of those variants. Methods: In the past five years, we have collected clinical and molecular information on 512 patients with neuromuscular symptoms referred to our center. To pinpoint variants in COLVI genes and corroborate their real pathogenicity, we sketched a multistep flowchart, taking into consideration the bioinformatic weight of the gene variants, their correlation with clinical manifestations and possible effects on protein stability and expression. Results: In Step I, we identified variants in COLVI-related genes in 48 patients, of which three were homozygous variants (Group 1). Then, we sorted variants according to their CADD score, clinical data and complementary studies (such as muscle and skin biopsy, study of expression of COLVI on fibroblast or muscle and muscle magnetic resonance). We finally assessed how potentially pathogenic variants (two biallelic and 12 monoallelic) destabilize COL6A1-A2-A3 subunits. Overall, 15 out of 512 patients were prioritized according to this pipeline. In seven of them, we confirmed reduced or absent immunocytochemical expression of collagen VI in cultured skin fibroblasts or in muscle tissue. Conclusions: In a real-world diagnostic scenario applied to heterogeneous neuromuscular conditions, a multistep integration of clinical and molecular data allowed the identification of about 3% of those patients harboring pathogenetic collagen VI variants. MDPI 2022-11-23 /pmc/articles/PMC9735635/ /pubmed/36498898 http://dx.doi.org/10.3390/ijms232314567 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Marinella, Gemma Astrea, Guja Buchignani, Bianca Cassandrini, Denise Doccini, Stefano Filosto, Massimiliano Galatolo, Daniele Gallone, Salvatore Giannini, Fabio Lopergolo, Diego Maioli, Maria Antonietta Magri, Francesca Malandrini, Alessandro Mandich, Paola Mari, Francesco Massa, Roberto Mata, Sabrina Melani, Federico Moggio, Maurizio Mongini, Tiziana E. Pasquariello, Rosa Pegoraro, Elena Ricci, Federica Ricci, Giulia Rodolico, Carmelo Rubegni, Anna Siciliano, Gabriele Sperti, Martina Ticci, Chiara Tonin, Paola Santorelli, Filippo M. Battini, Roberta A Schematic Approach to Defining the Prevalence of COL VI Variants in Five Years of Next-Generation Sequencing |
title | A Schematic Approach to Defining the Prevalence of COL VI Variants in Five Years of Next-Generation Sequencing |
title_full | A Schematic Approach to Defining the Prevalence of COL VI Variants in Five Years of Next-Generation Sequencing |
title_fullStr | A Schematic Approach to Defining the Prevalence of COL VI Variants in Five Years of Next-Generation Sequencing |
title_full_unstemmed | A Schematic Approach to Defining the Prevalence of COL VI Variants in Five Years of Next-Generation Sequencing |
title_short | A Schematic Approach to Defining the Prevalence of COL VI Variants in Five Years of Next-Generation Sequencing |
title_sort | schematic approach to defining the prevalence of col vi variants in five years of next-generation sequencing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735635/ https://www.ncbi.nlm.nih.gov/pubmed/36498898 http://dx.doi.org/10.3390/ijms232314567 |
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