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Atrial Structural Remodeling Gene Variants in Patients with Atrial Fibrillation
Atrial fibrillation (AF) is a common arrhythmia for which the genetic studies mainly focused on the genes involved in electrical remodeling, rather than left atrial muscle remodeling. To identify rare variants involved in atrial myopathy using mutational screening, a high-throughput next-generation...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6151856/ https://www.ncbi.nlm.nih.gov/pubmed/30276209 http://dx.doi.org/10.1155/2018/4862480 |
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author | Doñate Puertas, Rosa Millat, Gilles Ernens, Isabelle Gache, Vincent Chauveau, Samuel Morel, Elodie Christin, Emilie Couturier, Nathalie Devaux, Yvan Chevalier, Philippe |
author_facet | Doñate Puertas, Rosa Millat, Gilles Ernens, Isabelle Gache, Vincent Chauveau, Samuel Morel, Elodie Christin, Emilie Couturier, Nathalie Devaux, Yvan Chevalier, Philippe |
author_sort | Doñate Puertas, Rosa |
collection | PubMed |
description | Atrial fibrillation (AF) is a common arrhythmia for which the genetic studies mainly focused on the genes involved in electrical remodeling, rather than left atrial muscle remodeling. To identify rare variants involved in atrial myopathy using mutational screening, a high-throughput next-generation sequencing (NGS) workflow was developed based on a custom AmpliSeq™ panel of 55 genes potentially involved in atrial myopathy. This workflow was applied to a cohort of 94 patients with AF, 76 with atrial dilatation and 18 without. Bioinformatic analyses used NextGENe® software and in silico tools for variant interpretation. The AmpliSeq custom-made panel efficiently explored 96.58% of the targeted sequences. Based on in silico analysis, 11 potentially pathogenic missense variants were identified that were not previously associated with AF. These variants were located in genes involved in atrial tissue structural remodeling. Three patients were also carriers of potential variants in prevalent arrhythmia-causing genes, usually associated with AF. Most of the variants were found in patients with atrial dilatation (n=9, 82%). This NGS approach was a sensitive and specific method that identified 11 potentially pathogenic variants, which are likely to play roles in the predisposition to left atrial myopathy. Functional studies are needed to confirm their pathogenicity. |
format | Online Article Text |
id | pubmed-6151856 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-61518562018-10-01 Atrial Structural Remodeling Gene Variants in Patients with Atrial Fibrillation Doñate Puertas, Rosa Millat, Gilles Ernens, Isabelle Gache, Vincent Chauveau, Samuel Morel, Elodie Christin, Emilie Couturier, Nathalie Devaux, Yvan Chevalier, Philippe Biomed Res Int Research Article Atrial fibrillation (AF) is a common arrhythmia for which the genetic studies mainly focused on the genes involved in electrical remodeling, rather than left atrial muscle remodeling. To identify rare variants involved in atrial myopathy using mutational screening, a high-throughput next-generation sequencing (NGS) workflow was developed based on a custom AmpliSeq™ panel of 55 genes potentially involved in atrial myopathy. This workflow was applied to a cohort of 94 patients with AF, 76 with atrial dilatation and 18 without. Bioinformatic analyses used NextGENe® software and in silico tools for variant interpretation. The AmpliSeq custom-made panel efficiently explored 96.58% of the targeted sequences. Based on in silico analysis, 11 potentially pathogenic missense variants were identified that were not previously associated with AF. These variants were located in genes involved in atrial tissue structural remodeling. Three patients were also carriers of potential variants in prevalent arrhythmia-causing genes, usually associated with AF. Most of the variants were found in patients with atrial dilatation (n=9, 82%). This NGS approach was a sensitive and specific method that identified 11 potentially pathogenic variants, which are likely to play roles in the predisposition to left atrial myopathy. Functional studies are needed to confirm their pathogenicity. Hindawi 2018-09-10 /pmc/articles/PMC6151856/ /pubmed/30276209 http://dx.doi.org/10.1155/2018/4862480 Text en Copyright © 2018 Rosa Doñate Puertas et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Doñate Puertas, Rosa Millat, Gilles Ernens, Isabelle Gache, Vincent Chauveau, Samuel Morel, Elodie Christin, Emilie Couturier, Nathalie Devaux, Yvan Chevalier, Philippe Atrial Structural Remodeling Gene Variants in Patients with Atrial Fibrillation |
title | Atrial Structural Remodeling Gene Variants in Patients with Atrial Fibrillation |
title_full | Atrial Structural Remodeling Gene Variants in Patients with Atrial Fibrillation |
title_fullStr | Atrial Structural Remodeling Gene Variants in Patients with Atrial Fibrillation |
title_full_unstemmed | Atrial Structural Remodeling Gene Variants in Patients with Atrial Fibrillation |
title_short | Atrial Structural Remodeling Gene Variants in Patients with Atrial Fibrillation |
title_sort | atrial structural remodeling gene variants in patients with atrial fibrillation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6151856/ https://www.ncbi.nlm.nih.gov/pubmed/30276209 http://dx.doi.org/10.1155/2018/4862480 |
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