Evidence-Based Assessment of Genes in Dilated Cardiomyopathy

LMNA公司 肥厚性心肌病 扩张型心肌病 MYH7 医学 遗传学 心肌病 基因检测 基因 心脏病学 内科学 生物 心力衰竭 突变 基因亚型
作者
Elizabeth Jordan,Laiken Peterson,Tomohiko Ai,Babken Asatryan,Lucas Bronicki,Emily Brown,Rudy Celeghin,Matthew Edwards,Judy Fan,Jodie Ingles,Cynthia A. James,Olga Jarinova,Renée Johnson,Daniel P. Judge,Najim Lahrouchi,Ronald H. Lekanne Deprez,R Thomas Lumbers,Francesco Mazzarotto,Argelia Medeiros‐Domingo,Rebecca L. Miller,Ana Morales,Brittney Murray,Stacey Peters,Kalliopi Pilichou,Alexandros Protonotarios,Christopher Semsarian,Palak Shah,Petros Syrris,Courtney Thaxton,J. Peter van Tintelen,Roddy Walsh,Jessica Wang,James S. Ware,Ray E. Hershberger
出处
期刊:Circulation [Ovid Technologies (Wolters Kluwer)]
卷期号:144 (1): 7-19 被引量:303
标识
DOI:10.1161/circulationaha.120.053033
摘要

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: 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.
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