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Adaptation and validation of the ACMG/AMP variant classification framework for MYH7-associated inherited cardiomyopathies: recommendations by ClinGen’s Inherited Cardiomyopathy Expert Panel

Melissa A. Kelly, Colleen Caleshu, Ana Morales and 25 more

Genetics in Medicine · 2018 · CC BY-NC-ND

doi:10.1038/gim.2017.218

Abstract

PurposeIntegrating genomic sequencing in clinical care requires standardization of variant interpretation practices. The Clinical Genome Resource has established expert panels to adapt the American College of Medical Genetics and Genomics/Association for Molecular Pathology classification framework for specific genes and diseases. The Cardiomyopathy Expert Panel selected MYH7, a key contributor to inherited cardiomyopathies, as a pilot gene to develop a broadly applicable approach.MethodsExpert revisions were tested with 60 variants using a structured double review by pairs of clinical and diagnostic laboratory experts. Final consensus rules were established via iterative discussions.ResultsAdjustments represented disease-/gene-informed specifications (12) or strength adjustments of existing rules (5). Nine rules were deemed not applicable. Key specifications included quantitative frameworks for minor allele frequency thresholds, the use of segregation data, and a semiquantitative approach to counting multiple independent variant occurrences where fully controlled case-control studies are lacking. Initial inter-expert classification concordance was 93%. Internal data from participating diagnostic laboratories changed the classification of 20% of the variants (n = 12), highlighting the critical importance of data sharing.ConclusionThese adapted rules provide increased specificity for use in MYH7-associated disorders in combination with expert review and clinical judgment and serve as a stepping stone for genes and disorders with similar genetic and clinical characteristics.

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References 26

  1. 1.
  2. 2.

    Pepin MG, Murray ML, Bailey S, Leistritz-Kessler D, Schwarze U, Byers PH. The challenge of comprehensive and consistent sequence variant interpretation between clinical laboratories. Genet Med. 2016;18:20–24.

    Not in our library10.1038/gim.2015.31

  3. 3.

    Rehm HL, Berg JS, Brooks LD et al. ClinGen—the Clinical Genome Resource. N Engl J Med 2015;372:2235–2242.

    Not in our library10.1056/nejmsr1406261

  4. 4.

    Gaba P, Bos JM, Cannon BC et al. Implantable cardioverter-defibrillator explantation for overdiagnosed or overtreated congenital long QT syndrome. Heart Rhythm. 2016;13:879–885.

    Not in our library10.1016/j.hrthm.2015.12.008

  5. 5.

    Richards S, Aziz N, Bale S et al. 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. Genet Med. 2015;17:405–424.

    Not in our library10.1038/gim.2015.30

  6. 6.

    Association for Clinical Genetic Science. Consensus statement on adoption of the American College of Medical Genetics and Genomics (ACMG) guidelines for sequence variant classification and interpretation [press release]. http://www.acgs.uk.com/media/1032817/acgs_consensus_statement_on_adoption_of_acmg_guidelines__1_.pdf11 November 2016.

    Not in our library

  7. 7.

    Amendola LM, Jarvik GP, Leo MC et al. Performance of ACMG-AMP Variant-Interpretation Guidelines among nine laboratories in the Clinical Sequencing Exploratory Research Consortium. Am J Hum Genet 2016;98:1067–1076.

    Not in our library10.1016/j.ajhg.2016.03.024

  8. 8.

    Song W, Gardner SA, Hovhannisyan H et al. Exploring the landscape of pathogenic genetic variation in the ExAC population database: insights of relevance to variant classification. Genet Med. 2016;18:850–854.

    Not in our library10.1038/gim.2015.180

  9. 9.

    Jarvik GP, Browning BL. Consideration of cosegregation in the pathogenicity classification of genomic variants. Am J Hum Genet 2016;98:1077–1081.

    Not in our library10.1016/j.ajhg.2016.04.003

  10. 10.

    MacArthur DG, Manolio TA, Dimmock DP et al. Guidelines for investigating causality of sequence variants in human disease. Nature. 2014;508:469–476.

    Not in our library10.1038/nature13127

  11. 11.
  12. 12.

    Semsarian C, Ingles J, Maron MS, Maron BJ. New perspectives on the prevalence of hypertrophic cardiomyopathy. J Am Coll Cardiol 2015;65:1249–1254.

    Not in our library10.1016/j.jacc.2015.01.019

  13. 13.

    Hershberger RE, Hedges DJ, Morales A. Dilated cardiomyopathy: the complexity of a diverse genetic architecture. Nat Rev Cardiol 2013;10:531–547.

    Not in our library10.1038/nrcardio.2013.105

  14. 14.

    Alfares AA, Kelly MA, McDermott G et al. Results of clinical genetic testing of 2,912 probands with hypertrophic cardiomyopathy: expanded panels offer limited additional sensitivity. Genet Med. 2015;17:880–888.

    Not in our library10.1038/gim.2014.205

  15. 15.

    Pugh TJ, Kelly MA, Gowrisankar S et al. The landscape of genetic variation in dilated cardiomyopathy as surveyed by clinical DNA sequencing. Genet Med. 2014;16:601–608.

    Not in our library10.1038/gim.2013.204

  16. 16.

    Duzkale H, Shen J, McLaughlin H et al. A systematic approach to assessing the clinical significance of genetic variants. Clin Genet. 2013;84:453–463.

    Not in our library10.1111/cge.12257

  17. 17.

    Tavtigian SV, Greenblatt MS, Harrison SM et al. Modeling the ACMG/AMP variant classification guidelines as a Bayesian classification framework. Genet Med, in press.

    Not in our library10.1038/gim.2017.210

  18. 18.

    Weir-McCall JR, Yeap PM, Papagiorcopulo C et al. Left ventricular noncompaction: anatomical phenotype or distinct cardiomyopathy? J Am Coll Cardiol 2016;68:2157–2165.

    Not in our library10.1016/j.jacc.2016.08.054

  19. 19.

    Towbin JA, Lorts A, Jefferies JL. Left ventricular non-compaction cardiomyopathy. Lancet. 2015;386:813–825.

    Not in our library10.1016/s0140-6736(14)61282-4

  20. 20.

    Sen-Chowdhry S, McKenna WJ. Left ventricular noncompaction and cardiomyopathy: cause, contributor, or epiphenomenon? Curr Opin Cardiol 2008;23:171–175.

    Not in our library10.1097/hco.0b013e3282fdc939

  21. 21.

    Sivaramakrishnan S, Ashley E, Leinwand L, Spudich JA. Insights into human beta-cardiac myosin function from single molecule and single cell studies. J Cardiovasc Transl Res 2009;2:426–440.

    Not in our library10.1007/s12265-009-9129-2

  22. 22.
  23. 23.
  24. 24.

    Homburger JR, Green EM, Caleshu C et al. Multidimensional structure-function relationships in human beta-cardiac myosin from population-scale genetic variation. Proc Natl Acad Sci USA 2016;113:6701–6706.

    Not in our library10.1073/pnas.1606950113

  25. 25.

    Hougs L, Havndrup O, Bundgaard H et al. One-third of Danish hypertrophic cardiomyopathy patients with MYH7 mutations have mutations in MYH7 rod region. Eur J Hum Genet 2005;13:161–165.

    Not in our library10.1038/sj.ejhg.5201310

  26. 26.

    Girolami F, Ho CY, Semsarian C et al. Clinical features and outcome of hypertrophic cardiomyopathy associated with triple sarcomere protein gene mutations. J Am Coll Cardiol 2010;55:1444–1453.

    Not in our library10.1016/j.jacc.2009.11.062

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