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Frequency of genetic variants associated with arrhythmogenic right ventricular cardiomyopathy in the genome aggregation database
Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a rare inherited heart-muscle disorder, which is the most common cause of life-threatening arrhythmias and sudden cardiac death (SCD) in young adults and athletes. Early and accurate diagnosis can be crucial in effective ARVC management and p...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6117313/ https://www.ncbi.nlm.nih.gov/pubmed/29802319 http://dx.doi.org/10.1038/s41431-018-0169-4 |
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author | Hall, Charlotte L Sutanto, Henry Dalageorgou, Chrysoula McKenna, William John Syrris, Petros Futema, Marta |
author_facet | Hall, Charlotte L Sutanto, Henry Dalageorgou, Chrysoula McKenna, William John Syrris, Petros Futema, Marta |
author_sort | Hall, Charlotte L |
collection | PubMed |
description | Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a rare inherited heart-muscle disorder, which is the most common cause of life-threatening arrhythmias and sudden cardiac death (SCD) in young adults and athletes. Early and accurate diagnosis can be crucial in effective ARVC management and prevention of SCD. The genome Aggregation Database (gnomAD) population of 138,632 unrelated individuals was searched for previously identified ARVC variants, classified as pathogenic or unknown on the disease genetic variant database (http://www.arvcdatabase.info/), in five most-commonly mutated genes: PKP2, DSP, DSG2, DSC2 and JUP, where variants account for 40–50% of all the ARVC cases. Minor allele frequency (MAF) of 0.001 was used to define variants as rare or common. The gnomAD data contained 117/364 (32%) of the previously reported pathogenic and 152/266 (57%) of the unknown ARVC variants. The cross-ethnic analysis of MAF revealed that 11 previously classified pathogenic and 57 unknown variants were common (MAF ≥ 0.001) in at least one ethnic gnomAD population and therefore unlikely to be ARVC causing. After applying our MAF analysis the overall frequency of pathogenic ARVC variants in gnomAD was one in 257 individuals, but a more stringent cut-off (MAF ≥ 0.0001) gave a frequency of one in 845, closer to the estimated phenotypic frequency of the disease. Our study demonstrates that the analysis of large cross-ethnic population sequencing data can significantly improve disease variant interpretation. Higher than expected frequency of ARVC variants suggests that a proportion of ARVC-causing variants may be inaccurately classified, implying reduced penetrance of some variants, and/or a polygenic aetiology of ARVC. |
format | Online Article Text |
id | pubmed-6117313 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-61173132018-08-31 Frequency of genetic variants associated with arrhythmogenic right ventricular cardiomyopathy in the genome aggregation database Hall, Charlotte L Sutanto, Henry Dalageorgou, Chrysoula McKenna, William John Syrris, Petros Futema, Marta Eur J Hum Genet Article Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a rare inherited heart-muscle disorder, which is the most common cause of life-threatening arrhythmias and sudden cardiac death (SCD) in young adults and athletes. Early and accurate diagnosis can be crucial in effective ARVC management and prevention of SCD. The genome Aggregation Database (gnomAD) population of 138,632 unrelated individuals was searched for previously identified ARVC variants, classified as pathogenic or unknown on the disease genetic variant database (http://www.arvcdatabase.info/), in five most-commonly mutated genes: PKP2, DSP, DSG2, DSC2 and JUP, where variants account for 40–50% of all the ARVC cases. Minor allele frequency (MAF) of 0.001 was used to define variants as rare or common. The gnomAD data contained 117/364 (32%) of the previously reported pathogenic and 152/266 (57%) of the unknown ARVC variants. The cross-ethnic analysis of MAF revealed that 11 previously classified pathogenic and 57 unknown variants were common (MAF ≥ 0.001) in at least one ethnic gnomAD population and therefore unlikely to be ARVC causing. After applying our MAF analysis the overall frequency of pathogenic ARVC variants in gnomAD was one in 257 individuals, but a more stringent cut-off (MAF ≥ 0.0001) gave a frequency of one in 845, closer to the estimated phenotypic frequency of the disease. Our study demonstrates that the analysis of large cross-ethnic population sequencing data can significantly improve disease variant interpretation. Higher than expected frequency of ARVC variants suggests that a proportion of ARVC-causing variants may be inaccurately classified, implying reduced penetrance of some variants, and/or a polygenic aetiology of ARVC. Springer International Publishing 2018-05-25 2018-09 /pmc/articles/PMC6117313/ /pubmed/29802319 http://dx.doi.org/10.1038/s41431-018-0169-4 Text en © European Society of Human Genetics 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Hall, Charlotte L Sutanto, Henry Dalageorgou, Chrysoula McKenna, William John Syrris, Petros Futema, Marta Frequency of genetic variants associated with arrhythmogenic right ventricular cardiomyopathy in the genome aggregation database |
title | Frequency of genetic variants associated with arrhythmogenic right ventricular cardiomyopathy in the genome aggregation database |
title_full | Frequency of genetic variants associated with arrhythmogenic right ventricular cardiomyopathy in the genome aggregation database |
title_fullStr | Frequency of genetic variants associated with arrhythmogenic right ventricular cardiomyopathy in the genome aggregation database |
title_full_unstemmed | Frequency of genetic variants associated with arrhythmogenic right ventricular cardiomyopathy in the genome aggregation database |
title_short | Frequency of genetic variants associated with arrhythmogenic right ventricular cardiomyopathy in the genome aggregation database |
title_sort | frequency of genetic variants associated with arrhythmogenic right ventricular cardiomyopathy in the genome aggregation database |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6117313/ https://www.ncbi.nlm.nih.gov/pubmed/29802319 http://dx.doi.org/10.1038/s41431-018-0169-4 |
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