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De novo and inherited variants in coding and regulatory regions in genetic cardiomyopathies

BACKGROUND: Cardiomyopathies are a leading cause of progressive heart failure and sudden cardiac death; however, their genetic aetiology remains poorly understood. We hypothesised that variants in noncoding regulatory regions and oligogenic inheritance mechanisms may help close the diagnostic gap. M...

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Autores principales: Vadgama, Nirmal, Ameen, Mohamed, Sundaram, Laksshman, Gaddam, Sadhana, Gifford, Casey, Nasir, Jamal, Karakikes, Ioannis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647983/
https://www.ncbi.nlm.nih.gov/pubmed/36357925
http://dx.doi.org/10.1186/s40246-022-00420-0
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author Vadgama, Nirmal
Ameen, Mohamed
Sundaram, Laksshman
Gaddam, Sadhana
Gifford, Casey
Nasir, Jamal
Karakikes, Ioannis
author_facet Vadgama, Nirmal
Ameen, Mohamed
Sundaram, Laksshman
Gaddam, Sadhana
Gifford, Casey
Nasir, Jamal
Karakikes, Ioannis
author_sort Vadgama, Nirmal
collection PubMed
description BACKGROUND: Cardiomyopathies are a leading cause of progressive heart failure and sudden cardiac death; however, their genetic aetiology remains poorly understood. We hypothesised that variants in noncoding regulatory regions and oligogenic inheritance mechanisms may help close the diagnostic gap. METHODS: We first analysed whole-genome sequencing data of 143 parent–offspring trios from Genomics England 100,000 Genomes Project. We used gene panel testing and a phenotype-based, variant prioritisation framework called Exomiser to identify candidate genes in trios. To assess the contribution of noncoding DNVs to cardiomyopathies, we intersected DNVs with open chromatin sequences from single-cell ATAC-seq data of cardiomyocytes. We also performed a case–control analysis in an exome-negative cohort, including 843 probands and 19,467 controls, to assess the association between noncoding variants in known cardiomyopathy genes and disease. RESULTS: In the trio analysis, a definite or probable genetic diagnosis was identified in 21 probands according to the American College of Medical Genetics guidelines. We identified novel DNVs in diagnostic-grade genes (RYR2, TNNT2, PTPN11, MYH7, LZR1, NKX2-5), and five cases harbouring a combination of prioritised variants, suggesting that oligogenic inheritance and genetic modifiers contribute to cardiomyopathies. Phenotype-based ranking of candidate genes identified in noncoding DNV analysis revealed JPH2 as the top candidate. Moreover, a case–control analysis revealed an enrichment of rare noncoding variants in regulatory elements of cardiomyopathy genes (p = .035, OR = 1.43, 95% Cl = 1.095–1.767) versus controls. Of the 25 variants associated with disease  (p< 0.5), 23 are novel and nine are predicted to disrupt transcription factor binding motifs. CONCLUSION: Our results highlight complex genetic mechanisms in cardiomyopathies and reveal novel genes for future investigations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40246-022-00420-0.
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spelling pubmed-96479832022-11-15 De novo and inherited variants in coding and regulatory regions in genetic cardiomyopathies Vadgama, Nirmal Ameen, Mohamed Sundaram, Laksshman Gaddam, Sadhana Gifford, Casey Nasir, Jamal Karakikes, Ioannis Hum Genomics Research BACKGROUND: Cardiomyopathies are a leading cause of progressive heart failure and sudden cardiac death; however, their genetic aetiology remains poorly understood. We hypothesised that variants in noncoding regulatory regions and oligogenic inheritance mechanisms may help close the diagnostic gap. METHODS: We first analysed whole-genome sequencing data of 143 parent–offspring trios from Genomics England 100,000 Genomes Project. We used gene panel testing and a phenotype-based, variant prioritisation framework called Exomiser to identify candidate genes in trios. To assess the contribution of noncoding DNVs to cardiomyopathies, we intersected DNVs with open chromatin sequences from single-cell ATAC-seq data of cardiomyocytes. We also performed a case–control analysis in an exome-negative cohort, including 843 probands and 19,467 controls, to assess the association between noncoding variants in known cardiomyopathy genes and disease. RESULTS: In the trio analysis, a definite or probable genetic diagnosis was identified in 21 probands according to the American College of Medical Genetics guidelines. We identified novel DNVs in diagnostic-grade genes (RYR2, TNNT2, PTPN11, MYH7, LZR1, NKX2-5), and five cases harbouring a combination of prioritised variants, suggesting that oligogenic inheritance and genetic modifiers contribute to cardiomyopathies. Phenotype-based ranking of candidate genes identified in noncoding DNV analysis revealed JPH2 as the top candidate. Moreover, a case–control analysis revealed an enrichment of rare noncoding variants in regulatory elements of cardiomyopathy genes (p = .035, OR = 1.43, 95% Cl = 1.095–1.767) versus controls. Of the 25 variants associated with disease  (p< 0.5), 23 are novel and nine are predicted to disrupt transcription factor binding motifs. CONCLUSION: Our results highlight complex genetic mechanisms in cardiomyopathies and reveal novel genes for future investigations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40246-022-00420-0. BioMed Central 2022-11-10 /pmc/articles/PMC9647983/ /pubmed/36357925 http://dx.doi.org/10.1186/s40246-022-00420-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Vadgama, Nirmal
Ameen, Mohamed
Sundaram, Laksshman
Gaddam, Sadhana
Gifford, Casey
Nasir, Jamal
Karakikes, Ioannis
De novo and inherited variants in coding and regulatory regions in genetic cardiomyopathies
title De novo and inherited variants in coding and regulatory regions in genetic cardiomyopathies
title_full De novo and inherited variants in coding and regulatory regions in genetic cardiomyopathies
title_fullStr De novo and inherited variants in coding and regulatory regions in genetic cardiomyopathies
title_full_unstemmed De novo and inherited variants in coding and regulatory regions in genetic cardiomyopathies
title_short De novo and inherited variants in coding and regulatory regions in genetic cardiomyopathies
title_sort de novo and inherited variants in coding and regulatory regions in genetic cardiomyopathies
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647983/
https://www.ncbi.nlm.nih.gov/pubmed/36357925
http://dx.doi.org/10.1186/s40246-022-00420-0
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