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Evidence-Based Assessment of Genes in Dilated Cardiomyopathy
Each of the cardiomyopathies, classically categorized as hypertrophic cardiomyopathy, dilated cardiomyopathy (DCM), and arrhythmogenic right ventricular cardiomyopathy, has a signature genetic theme. Hypertrophic cardiomyopathy and arrhythmogenic right ventricular cardiomyopathy are largely understo...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8247549/ https://www.ncbi.nlm.nih.gov/pubmed/33947203 http://dx.doi.org/10.1161/CIRCULATIONAHA.120.053033 |
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author | Jordan, Elizabeth Peterson, Laiken Ai, Tomohiko Asatryan, Babken Bronicki, Lucas Brown, Emily Celeghin, Rudy Edwards, Matthew Fan, Judy Ingles, Jodie James, Cynthia A. Jarinova, Olga Johnson, Renee Judge, Daniel P. Lahrouchi, Najim Lekanne Deprez, Ronald H. Lumbers, R. Thomas Mazzarotto, Francesco Medeiros Domingo, Argelia Miller, Rebecca L. Morales, Ana Murray, Brittney Peters, Stacey Pilichou, Kalliopi Protonotarios, Alexandros Semsarian, Christopher Shah, Palak Syrris, Petros Thaxton, Courtney van Tintelen, J. Peter Walsh, Roddy Wang, Jessica Ware, James Hershberger, Ray E. |
author_facet | Jordan, Elizabeth Peterson, Laiken Ai, Tomohiko Asatryan, Babken Bronicki, Lucas Brown, Emily Celeghin, Rudy Edwards, Matthew Fan, Judy Ingles, Jodie James, Cynthia A. Jarinova, Olga Johnson, Renee Judge, Daniel P. Lahrouchi, Najim Lekanne Deprez, Ronald H. Lumbers, R. Thomas Mazzarotto, Francesco Medeiros Domingo, Argelia Miller, Rebecca L. Morales, Ana Murray, Brittney Peters, Stacey Pilichou, Kalliopi Protonotarios, Alexandros Semsarian, Christopher Shah, Palak Syrris, Petros Thaxton, Courtney van Tintelen, J. Peter Walsh, Roddy Wang, Jessica Ware, James Hershberger, Ray E. |
author_sort | Jordan, Elizabeth |
collection | PubMed |
description | Each of the cardiomyopathies, classically categorized as hypertrophic cardiomyopathy, dilated cardiomyopathy (DCM), and arrhythmogenic right ventricular cardiomyopathy, has a signature genetic theme. Hypertrophic cardiomyopathy and arrhythmogenic right ventricular cardiomyopathy are largely understood as genetic diseases of sarcomere or desmosome proteins, respectively. In contrast, >250 genes spanning >10 gene ontologies have been implicated in DCM, representing a complex and diverse genetic architecture. To clarify this, a systematic curation of evidence to establish the relationship of genes with DCM was conducted. METHODS: An international panel with clinical and scientific expertise in DCM genetics evaluated evidence supporting monogenic relationships of genes with idiopathic DCM. The panel used the Clinical Genome Resource semiquantitative gene-disease clinical validity classification framework with modifications for DCM genetics to classify genes into categories on the basis of the strength of currently available evidence. Representation of DCM genes on clinically available genetic testing panels was evaluated. RESULTS: Fifty-one genes with human genetic evidence were curated. Twelve genes (23%) from 8 gene ontologies were classified as having definitive (BAG3, DES, FLNC, LMNA, MYH7, PLN, RBM20, SCN5A, TNNC1, TNNT2, TTN) or strong (DSP) evidence. Seven genes (14%; ACTC1, ACTN2, JPH2, NEXN, TNNI3, TPM1, VCL) including 2 additional ontologies were classified as moderate evidence; these genes are likely to emerge as strong or definitive with additional evidence. Of these 19 genes, 6 were similarly classified for hypertrophic cardiomyopathy and 3 for arrhythmogenic right ventricular cardiomyopathy. Of the remaining 32 genes (63%), 25 (49%) had limited evidence, 4 (8%) were disputed, 2 (4%) had no disease relationship, and 1 (2%) was supported by animal model data only. Of the 16 evaluated clinical genetic testing panels, most definitive genes were included, but panels also included numerous genes with minimal human evidence. CONCLUSIONS: In the curation of 51 genes, 19 had high evidence (12 definitive/strong, 7 moderate). It is notable that these 19 genes explain only a minority of cases, leaving the remainder of DCM genetic architecture incompletely addressed. Clinical genetic testing panels include most high-evidence genes; however, genes lacking robust evidence are also commonly included. We recommend that high-evidence DCM genes be used for clinical practice and that caution be exercised in the interpretation of variants in variable-evidence DCM genes. |
format | Online Article Text |
id | pubmed-8247549 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-82475492021-07-08 Evidence-Based Assessment of Genes in Dilated Cardiomyopathy Jordan, Elizabeth Peterson, Laiken Ai, Tomohiko Asatryan, Babken Bronicki, Lucas Brown, Emily Celeghin, Rudy Edwards, Matthew Fan, Judy Ingles, Jodie James, Cynthia A. Jarinova, Olga Johnson, Renee Judge, Daniel P. Lahrouchi, Najim Lekanne Deprez, Ronald H. Lumbers, R. Thomas Mazzarotto, Francesco Medeiros Domingo, Argelia Miller, Rebecca L. Morales, Ana Murray, Brittney Peters, Stacey Pilichou, Kalliopi Protonotarios, Alexandros Semsarian, Christopher Shah, Palak Syrris, Petros Thaxton, Courtney van Tintelen, J. Peter Walsh, Roddy Wang, Jessica Ware, James Hershberger, Ray E. Circulation Original Research Articles Each of the cardiomyopathies, classically categorized as hypertrophic cardiomyopathy, dilated cardiomyopathy (DCM), and arrhythmogenic right ventricular cardiomyopathy, has a signature genetic theme. Hypertrophic cardiomyopathy and arrhythmogenic right ventricular cardiomyopathy are largely understood as genetic diseases of sarcomere or desmosome proteins, respectively. In contrast, >250 genes spanning >10 gene ontologies have been implicated in DCM, representing a complex and diverse genetic architecture. To clarify this, a systematic curation of evidence to establish the relationship of genes with DCM was conducted. METHODS: An international panel with clinical and scientific expertise in DCM genetics evaluated evidence supporting monogenic relationships of genes with idiopathic DCM. The panel used the Clinical Genome Resource semiquantitative gene-disease clinical validity classification framework with modifications for DCM genetics to classify genes into categories on the basis of the strength of currently available evidence. Representation of DCM genes on clinically available genetic testing panels was evaluated. RESULTS: Fifty-one genes with human genetic evidence were curated. Twelve genes (23%) from 8 gene ontologies were classified as having definitive (BAG3, DES, FLNC, LMNA, MYH7, PLN, RBM20, SCN5A, TNNC1, TNNT2, TTN) or strong (DSP) evidence. Seven genes (14%; ACTC1, ACTN2, JPH2, NEXN, TNNI3, TPM1, VCL) including 2 additional ontologies were classified as moderate evidence; these genes are likely to emerge as strong or definitive with additional evidence. Of these 19 genes, 6 were similarly classified for hypertrophic cardiomyopathy and 3 for arrhythmogenic right ventricular cardiomyopathy. Of the remaining 32 genes (63%), 25 (49%) had limited evidence, 4 (8%) were disputed, 2 (4%) had no disease relationship, and 1 (2%) was supported by animal model data only. Of the 16 evaluated clinical genetic testing panels, most definitive genes were included, but panels also included numerous genes with minimal human evidence. CONCLUSIONS: In the curation of 51 genes, 19 had high evidence (12 definitive/strong, 7 moderate). It is notable that these 19 genes explain only a minority of cases, leaving the remainder of DCM genetic architecture incompletely addressed. Clinical genetic testing panels include most high-evidence genes; however, genes lacking robust evidence are also commonly included. We recommend that high-evidence DCM genes be used for clinical practice and that caution be exercised in the interpretation of variants in variable-evidence DCM genes. Lippincott Williams & Wilkins 2021-05-05 2021-07-06 /pmc/articles/PMC8247549/ /pubmed/33947203 http://dx.doi.org/10.1161/CIRCULATIONAHA.120.053033 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Circulation is published on behalf of the American Heart Association, Inc., by Wolters Kluwer Health, Inc. This is an open access article under the terms of the Creative Commons Attribution (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited. This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections. |
spellingShingle | Original Research Articles Jordan, Elizabeth Peterson, Laiken Ai, Tomohiko Asatryan, Babken Bronicki, Lucas Brown, Emily Celeghin, Rudy Edwards, Matthew Fan, Judy Ingles, Jodie James, Cynthia A. Jarinova, Olga Johnson, Renee Judge, Daniel P. Lahrouchi, Najim Lekanne Deprez, Ronald H. Lumbers, R. Thomas Mazzarotto, Francesco Medeiros Domingo, Argelia Miller, Rebecca L. Morales, Ana Murray, Brittney Peters, Stacey Pilichou, Kalliopi Protonotarios, Alexandros Semsarian, Christopher Shah, Palak Syrris, Petros Thaxton, Courtney van Tintelen, J. Peter Walsh, Roddy Wang, Jessica Ware, James Hershberger, Ray E. Evidence-Based Assessment of Genes in Dilated Cardiomyopathy |
title | Evidence-Based Assessment of Genes in Dilated Cardiomyopathy |
title_full | Evidence-Based Assessment of Genes in Dilated Cardiomyopathy |
title_fullStr | Evidence-Based Assessment of Genes in Dilated Cardiomyopathy |
title_full_unstemmed | Evidence-Based Assessment of Genes in Dilated Cardiomyopathy |
title_short | Evidence-Based Assessment of Genes in Dilated Cardiomyopathy |
title_sort | evidence-based assessment of genes in dilated cardiomyopathy |
topic | Original Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8247549/ https://www.ncbi.nlm.nih.gov/pubmed/33947203 http://dx.doi.org/10.1161/CIRCULATIONAHA.120.053033 |
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