Evidence-Based Assessment of Genes in Dilated Cardiomyopathy

Elizabeth Jordan(The Ohio State University Wexner Medical Center), Laiken Peterson(The Ohio State University Wexner Medical Center), Tomohiko Ai(The Ohio State University Wexner Medical Center), Babken Asatryan(University Hospital of Bern), Lucas Bronicki(University of Ottawa), Emily Brown(Johns Hopkins University), Rudy Celeghin(University of Padua), Matthew Edwards(Royal Brompton & Harefield NHS Foundation Trust), Judy Fan(University of California, Los Angeles), Jodie Ingles(Centenary Institute), Cynthia A. James(Johns Hopkins University), Olga Jarinova(University of Ottawa), Renée Johnson(Victor Chang Cardiac Research Institute), Daniel P. Judge(Medical University of South Carolina), Najim Lahrouchi(Amsterdam University Medical Centers), Ronald H. Lekanne Deprez(Amsterdam UMC Location University of Amsterdam), R Thomas Lumbers(British Heart Foundation), Francesco Mazzarotto(Royal Brompton & Harefield NHS Foundation Trust), Argelia Medeiros‐Domingo(Swiss Federal Laboratories for Materials Science and Technology), Rebecca L. Miller(Cardiovascular Institute of the South), Ana Morales(Invitae (United States)), Brittney Murray(Johns Hopkins University), Stacey Peters(The Royal Melbourne Hospital), Kalliopi Pilichou(University of Padua), Alexandros Protonotarios(British Heart Foundation), Christopher Semsarian(Centenary Institute), Palak Shah(Alaska Heart and Vascular Institute), Petros Syrris(British Heart Foundation), Courtney Thaxton(University of North Carolina at Chapel Hill), J. Peter van Tintelen(Utrecht University), Roddy Walsh(Amsterdam University Medical Centers), Jessica Wang(University of California, Los Angeles), James S. Ware(Royal Brompton & Harefield NHS Foundation Trust), Ray E. Hershberger(The Ohio State University Wexner Medical Center)
Circulation
May 5, 2021
Cited by 506Open Access
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Abstract

BACKGROUND: 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: ) 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.


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