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      Evaluating the Clinical Validity of Hypertrophic Cardiomyopathy Genes

      research-article
      , GradDipGenCouns, PhD, MPH 1 , 2 , , , PhD, CGC 3 , , PhD 3 , , MSc 4 , , BA 3 , , PhD 3 , , MS 5 , , PhD 6 , , PhD 3 , , PhD 3 , , MS, CGC 7 , , PhD 3 , , PhD 3 , , BSc, FRCPath 9 , , MD, PhD 10 , , BA 3 , , PhD 11 , 12 , , MD, PharmD, MSc 13 , , PhD 11 , 12 , , PhD 14 , , MBBS, PhD, MPH 1 , 2 , , MRCP, PhD 11 , 12 , , MD 7 , 8 , * , , PhD, FACMG 14 , *
      Circulation. Genomic and Precision Medicine
      Lippincott Williams & Wilkins
      genetic testing, heart failure, syndrome, uncertainty

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          Abstract

          Supplemental Digital Content is available in the text.

          Abstract

          Background:

          Genetic testing for families with hypertrophic cardiomyopathy (HCM) provides a significant opportunity to improve care. Recent trends to increase gene panel sizes often mean variants in genes with questionable association are reported to patients. Classification of HCM genes and variants is critical, as misclassification can lead to genetic misdiagnosis. We show the validity of previously reported HCM genes using an established method for evaluating gene-disease associations.

          Methods:

          A systematic approach was used to assess the validity of reported gene-disease associations, including associations with isolated HCM and syndromes including left ventricular hypertrophy. Genes were categorized as having definitive, strong, moderate, limited, or no evidence of disease causation. We also reviewed current variant classifications for HCM in ClinVar, a publicly available variant resource.

          Results:

          Fifty-seven genes were selected for curation based on their frequent inclusion in HCM testing and prior association reports. Of 33 HCM genes, only 8 (24%) were categorized as definitive ( MYBPC3, MYH7, TNNT2, TNNI3, TPM1, ACTC1, MYL2, and MYL3); 3 had moderate evidence ( CSRP3, TNNC1, and JPH2; 33%); and 22 (66%) had limited (n=16) or no evidence (n=6). There were 12 of 24 syndromic genes definitively associated with isolated left ventricular hypertrophy. Of 4191 HCM variants in ClinVar, 31% were in genes with limited or no evidence of disease association.

          Conclusions:

          The majority of genes previously reported as causative of HCM and commonly included in diagnostic tests have limited or no evidence of disease association. Systematically curated HCM genes are essential to guide appropriate reporting of variants and ensure the best possible outcomes for HCM families.

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          Most cited references32

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          Standards and Guidelines for the Interpretation of Sequence Variants: A Joint Consensus Recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology

          The American College of Medical Genetics and Genomics (ACMG) previously developed guidance for the interpretation of sequence variants. 1 In the past decade, sequencing technology has evolved rapidly with the advent of high-throughput next generation sequencing. By adopting and leveraging next generation sequencing, clinical laboratories are now performing an ever increasing catalogue of genetic testing spanning genotyping, single genes, gene panels, exomes, genomes, transcriptomes and epigenetic assays for genetic disorders. By virtue of increased complexity, this paradigm shift in genetic testing has been accompanied by new challenges in sequence interpretation. In this context, the ACMG convened a workgroup in 2013 comprised of representatives from the ACMG, the Association for Molecular Pathology (AMP) and the College of American Pathologists (CAP) to revisit and revise the standards and guidelines for the interpretation of sequence variants. The group consisted of clinical laboratory directors and clinicians. This report represents expert opinion of the workgroup with input from ACMG, AMP and CAP stakeholders. These recommendations primarily apply to the breadth of genetic tests used in clinical laboratories including genotyping, single genes, panels, exomes and genomes. This report recommends the use of specific standard terminology: ‘pathogenic’, ‘likely pathogenic’, ‘uncertain significance’, ‘likely benign’, and ‘benign’ to describe variants identified in Mendelian disorders. Moreover, this recommendation describes a process for classification of variants into these five categories based on criteria using typical types of variant evidence (e.g. population data, computational data, functional data, segregation data, etc.). Because of the increased complexity of analysis and interpretation of clinical genetic testing described in this report, the ACMG strongly recommends that clinical molecular genetic testing should be performed in a CLIA-approved laboratory with results interpreted by a board-certified clinical molecular geneticist or molecular genetic pathologist or equivalent.
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            2014 ESC Guidelines on diagnosis and management of hypertrophic cardiomyopathy: the Task Force for the Diagnosis and Management of Hypertrophic Cardiomyopathy of the European Society of Cardiology (ESC).

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              ClinVar: public archive of interpretations of clinically relevant variants

              ClinVar (https://www.ncbi.nlm.nih.gov/clinvar/) at the National Center for Biotechnology Information (NCBI) is a freely available archive for interpretations of clinical significance of variants for reported conditions. The database includes germline and somatic variants of any size, type or genomic location. Interpretations are submitted by clinical testing laboratories, research laboratories, locus-specific databases, OMIM®, GeneReviews™, UniProt, expert panels and practice guidelines. In NCBI's Variation submission portal, submitters upload batch submissions or use the Submission Wizard for single submissions. Each submitted interpretation is assigned an accession number prefixed with SCV. ClinVar staff review validation reports with data types such as HGVS (Human Genome Variation Society) expressions; however, clinical significance is reported directly from submitters. Interpretations are aggregated by variant-condition combination and assigned an accession number prefixed with RCV. Clinical significance is calculated for the aggregate record, indicating consensus or conflict in the submitted interpretations. ClinVar uses data standards, such as HGVS nomenclature for variants and MedGen identifiers for conditions. The data are available on the web as variant-specific views; the entire data set can be downloaded via ftp. Programmatic access for ClinVar records is available through NCBI's E-utilities. Future development includes providing a variant-centric XML archive and a web page for details of SCV submissions.
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                Author and article information

                Journal
                Circ Genom Precis Med
                Circ Genom Precis Med
                HCG
                Circulation. Genomic and Precision Medicine
                Lippincott Williams & Wilkins
                2574-8300
                February 2019
                19 February 2019
                : 12
                : 2
                : e002460
                Affiliations
                [1 ]Agnes Ginges Centre for Molecular Cardiology at Centenary Institute and Faculty of Medicine and Health, The University of Sydney, University of Sydney, Australia (J.I., C.S.).
                [2 ]Department of Cardiology, Royal Prince Alfred Hospital, Sydney, Australia (J.I., C.S.).
                [3 ]Department of Genetics, UNC Chapel Hill, NC (J.G., C.T., E.W.C., S.B.C., J.M., L.V.M., B.A.S., N.S., K.W.).
                [4 ]Stanford Center for Inherited Cardiovascular Disease, Stanford University, CA (C.C.).
                [5 ]Eastern Virginia Medical School, Norfolk, VA (K.D.).
                [6 ]Laboratory for Molecular Medicine, Partners Healthcare, Harvard Medical School, Cambridge, MA (S.M.H.).
                [7 ]Division of Human Genetics, Davis Heart and Lung Research Institute (A.M., R.E.H.)
                [8 ]Division of Cardiovascular Medicine, The Ohio State University, Columbus (R.E.H.).
                [9 ]Oxford Medical Genetics Laboratory, United Kingdom (K.T.).
                [10 ]Department of Clinical Genetics, Amsterdam University Medical Centers, University of Amsterdam, Cardiovascular Sciences, The Netherlands (J.P.v.T.).
                [11 ]National Heart and Lung Institute & MRC London Institute of Medical Sciences, Imperial College London, United Kingdom (R.W., N.W., J.S.W.).
                [12 ]Cardiovascular Research Centre at Royal Brompton & Harefield Hospitals NHS Trust, London, United Kingdom (R.W., N.W., J.S.W.).
                [13 ]Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (Q.W.).
                [14 ]Department of Pathology, Harvard Medical School/Massachusetts General Hospital, Boston (L.W., B.F.).
                Author notes
                Jodie Ingles, GradDipGenCouns, PhD, MPH, Agnes Ginges Centre for Molecular Cardiology, Centenary Institute, Locked Bag 6, Newtown, NSW, Sydney 2042, Australia. Email j.ingles@ 123456centenary.org.au
                Article
                00002
                10.1161/CIRCGEN.119.002460
                6410971
                30681346
                bf374541-29f3-452a-bca0-de00cdc316f7
                © 2019 The Authors.

                Circulation: Genomic and Precision Medicine 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 License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited.

                History
                : 17 January 2019
                : 18 January 2019
                Categories
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                10090
                Original Articles
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                genetic testing,heart failure,syndrome,uncertainty
                genetic testing, heart failure, syndrome, uncertainty

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