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Genetic complexity in hypertrophic cardiomyopathy revealed by high-throughput sequencing
BACKGROUND: Clinical interpretation of the large number of rare variants identified by high throughput sequencing (HTS) technologies is challenging. The aim of this study was to explore the clinical implications of a HTS strategy for patients with hypertrophic cardiomyopathy (HCM) using a targeted H...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3607113/ https://www.ncbi.nlm.nih.gov/pubmed/23396983 http://dx.doi.org/10.1136/jmedgenet-2012-101270 |
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author | Lopes, Luis R Zekavati, Anna Syrris, Petros Hubank, Mike Giambartolomei, Claudia Dalageorgou, Chrysoula Jenkins, Sharon McKenna, William Plagnol, Vincent Elliott, Perry M |
author_facet | Lopes, Luis R Zekavati, Anna Syrris, Petros Hubank, Mike Giambartolomei, Claudia Dalageorgou, Chrysoula Jenkins, Sharon McKenna, William Plagnol, Vincent Elliott, Perry M |
author_sort | Lopes, Luis R |
collection | PubMed |
description | BACKGROUND: Clinical interpretation of the large number of rare variants identified by high throughput sequencing (HTS) technologies is challenging. The aim of this study was to explore the clinical implications of a HTS strategy for patients with hypertrophic cardiomyopathy (HCM) using a targeted HTS methodology and workflow developed for patients with a range of inherited cardiovascular diseases. By comparing the sequencing results with published findings and with sequence data from a large-scale exome sequencing screen of UK individuals, we sought to quantify the strength of the evidence supporting causality for detected candidate variants. METHODS AND RESULTS: 223 unrelated patients with HCM (46±15 years at diagnosis, 74% males) were studied. In order to analyse coding, intronic and regulatory regions of 41 cardiovascular genes, we used solution-based sequence capture followed by massive parallel resequencing on Illumina GAIIx. Average read-depth in the 2.1 Mb target region was 120. Rare (frequency<0.5%) non-synonymous, loss-of-function and splice-site variants were defined as candidates. Excluding titin, we identified 152 distinct candidate variants in sarcomeric or associated genes (89 novel) in 143 patients (64%). Four sarcomeric genes (MYH7, MYBPC3, TNNI3, TNNT2) showed an excess of rare single non-synonymous single-nucleotide polymorphisms (nsSNPs) in cases compared to controls. The estimated probability that a nsSNP in these genes is pathogenic varied between 57% and near certainty depending on the location. We detected an additional 94 candidate variants (73 novel) in desmosomal, and ion-channel genes in 96 patients (43%). CONCLUSIONS: This study provides the first large-scale quantitative analysis of the prevalence of sarcomere protein gene variants in patients with HCM using HTS technology. Inclusion of other genes implicated in inherited cardiac disease identifies a large number of non-synonymous rare variants of unknown clinical significance. |
format | Online Article Text |
id | pubmed-3607113 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-36071132013-03-28 Genetic complexity in hypertrophic cardiomyopathy revealed by high-throughput sequencing Lopes, Luis R Zekavati, Anna Syrris, Petros Hubank, Mike Giambartolomei, Claudia Dalageorgou, Chrysoula Jenkins, Sharon McKenna, William Plagnol, Vincent Elliott, Perry M J Med Genet Genotype-Phenotype Correlations BACKGROUND: Clinical interpretation of the large number of rare variants identified by high throughput sequencing (HTS) technologies is challenging. The aim of this study was to explore the clinical implications of a HTS strategy for patients with hypertrophic cardiomyopathy (HCM) using a targeted HTS methodology and workflow developed for patients with a range of inherited cardiovascular diseases. By comparing the sequencing results with published findings and with sequence data from a large-scale exome sequencing screen of UK individuals, we sought to quantify the strength of the evidence supporting causality for detected candidate variants. METHODS AND RESULTS: 223 unrelated patients with HCM (46±15 years at diagnosis, 74% males) were studied. In order to analyse coding, intronic and regulatory regions of 41 cardiovascular genes, we used solution-based sequence capture followed by massive parallel resequencing on Illumina GAIIx. Average read-depth in the 2.1 Mb target region was 120. Rare (frequency<0.5%) non-synonymous, loss-of-function and splice-site variants were defined as candidates. Excluding titin, we identified 152 distinct candidate variants in sarcomeric or associated genes (89 novel) in 143 patients (64%). Four sarcomeric genes (MYH7, MYBPC3, TNNI3, TNNT2) showed an excess of rare single non-synonymous single-nucleotide polymorphisms (nsSNPs) in cases compared to controls. The estimated probability that a nsSNP in these genes is pathogenic varied between 57% and near certainty depending on the location. We detected an additional 94 candidate variants (73 novel) in desmosomal, and ion-channel genes in 96 patients (43%). CONCLUSIONS: This study provides the first large-scale quantitative analysis of the prevalence of sarcomere protein gene variants in patients with HCM using HTS technology. Inclusion of other genes implicated in inherited cardiac disease identifies a large number of non-synonymous rare variants of unknown clinical significance. BMJ Publishing Group 2013-04 2013-02-08 /pmc/articles/PMC3607113/ /pubmed/23396983 http://dx.doi.org/10.1136/jmedgenet-2012-101270 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/3.0/ and http://creativecommons.org/licenses/by-nc/3.0/legalcode |
spellingShingle | Genotype-Phenotype Correlations Lopes, Luis R Zekavati, Anna Syrris, Petros Hubank, Mike Giambartolomei, Claudia Dalageorgou, Chrysoula Jenkins, Sharon McKenna, William Plagnol, Vincent Elliott, Perry M Genetic complexity in hypertrophic cardiomyopathy revealed by high-throughput sequencing |
title | Genetic complexity in hypertrophic cardiomyopathy revealed by high-throughput sequencing |
title_full | Genetic complexity in hypertrophic cardiomyopathy revealed by high-throughput sequencing |
title_fullStr | Genetic complexity in hypertrophic cardiomyopathy revealed by high-throughput sequencing |
title_full_unstemmed | Genetic complexity in hypertrophic cardiomyopathy revealed by high-throughput sequencing |
title_short | Genetic complexity in hypertrophic cardiomyopathy revealed by high-throughput sequencing |
title_sort | genetic complexity in hypertrophic cardiomyopathy revealed by high-throughput sequencing |
topic | Genotype-Phenotype Correlations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3607113/ https://www.ncbi.nlm.nih.gov/pubmed/23396983 http://dx.doi.org/10.1136/jmedgenet-2012-101270 |
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