European Heart Journal Advance Access published October 21, 2014

EDITORIAL

European Heart Journal doi:10.1093/eurheartj/ehu402

Clinical genetics of dilated cardiomyopathy: on the way to personalized medicine? Sabine Pankuweit* and Anette Richter University Hospital Giessen and Marburg, Department of Cardiology, Marburg, Germany

This editorial refers to ‘Atlas of the clinical genetics of human dilated cardiomyopathy’, by J. Haas et al. on page doi:10.1093/ eurheartj/ehu301

History of genetics in cardiomyopathies The first data on the identification of a gene responsible for familial cardiomyopathy were published in 19892 by performing genetic linkage analyses with polymorphic DNA loci dispersed throughout the entire genome. The locus which was inherited with HCM in 108 members of a large family, 44 of whom presented with clinical HCM including 24 sudden cardiac deaths, was located on chromosome 14. This was the starting point for rapid advances in the knowledge of the molecular defects responsible for HCM,3,4 which have supported the understanding of the disorder and have suggested new approaches to clinical and genetic assessment of prognosis5,6 (Figure 1). Dilated cardiomyopathy affects 1 in 2500 individuals and is the major cause of heart transplantation and death from non-ischaemic heart failure in adolescents and young adults. As one of the most common heart muscle diseases in high-income as well as in lowand middle-income countries with the clinical picture of systolic impairment and LV dilatation in the absence of previous myocardial infarction, a wide spectrum of clinical phenotypes can accompany the disease.7 For that reason, the term DCM was used commonly, often depicting quite different phenotypes. Inherited DCM at that time was thought to account only for a small percentage of cases. When family screening was undertaken, it was shown that 20% of DCM patients had family members with echocardiographic evidence of DCM.8 In consequence, a common protocol with defined diagnostic criteria and simple but sufficiently sensitive and specific methods for familial DCM was developed. This originated from the need to define a common base to undergo clinical and molecular

The opinions expressed in this article are not necessarily those of the Editors of the European Heart Journal or of the European Society of Cardiology.

* Corresponding author. Department of Cardiology, Philipps-University Marburg, Baldinger, D-35043 Marburg, Germany. Tel: +49 6421 586 5095, Fax: +49 6421 5864922, Email: [email protected] Published on behalf of the European Society of Cardiology. All rights reserved. & The Author 2014. For permissions please email: [email protected].

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In their multicentre and multinational study, Haas and co-authors investigated 639 samples of clinically excellently characterized patients with sporadic dilated cardiomyopathy (DCM) and proven familial DCM from eight different cardiology centres in Europe by targeted next-generation sequencing (NGS).1 All known coding exons of 84 relevant genes in human DCM were covered using an optimized custom target-enriched assay based on in-solution hybridization targeting. In total, 8269 unique genetic variants were identified, denoting 359 669 variants across the investigated target region for 639 included patients. After exclusion of variants observed in large non-DCM controls in 46% of all patients, a previously described cardiomyopathy mutation was identified. Interestingly, when excluding mutations described for other cardiomyopathies such as hypertrophic cardiomyopathy (HCM) or arrhythmogenic right ventricular cardiomyopathy (ARVC), only in 16% of all patients were known mutations detected. When searching for rare or private mutations not yet annotated in databases, 117 highly likely pathogenic variants such as frameshift insertions/deletions, stop-gain/-loss variants, and splice mutations were detected in 26 genes in 23% of the patients. By searching for potential disease mutations, 154 rare variants in 350 patients were detected, mostly affecting the TTN and LMNA gene. Finally, 12.8% of the patients carried at least two known disease mutations. With regard to genotype–phenotype associations, an exploratory association analysis was performed, showing that mutations detected in certain genes are associated with left ventricular ejection fraction (LVEF), having received a heart transplant or implantable cardioverter defribrillator (ICD), left ventricular end-diastolic diameter (LVEDD), or age of diagnosis. Novel DCM disease genes, for example SMYD1 and alpha-crystalin B, were detected. The composition of the study group and consequentially of the study patients contributed to a comparison of the distribution of cardiomyopathy-relevant variants throughout Europe, with Germany showing the lowest and the UK showing the highest rate. Nevertheless, a more or less homogenous mutation frequency of DCM genes was described.

The most important benefit of this excellent investigation is based on different prerequisites. In particular the clinical definition of sporadic and familial DCM patients, the standardized collection of clinical data and samples within the different centres in Europe, and the use of NGS for this large cohort of patients reflect at least 30 years of effort in the field of genetics in cardiomyopathies.

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Editorial

genetic studies in familial DCM.9 In parallel, there was growing evidence of a genetic aetiology in more than a third of sporadic DCM cases, reflecting the importance of genetics in the aetiology of inherited and sporadic forms of DCM compared with other aetiologies such as inflammation, infection, or autoimmune processes. Candidate gene approaches and genome-wide genotyping, linkage analyses, and gene mapping were used for DCM-associated gene discovery,10 showing a broad genetic heterogeneity with reduced or age-dependent penetrance based on different clinical features, different patterns of genetic transmission, combinatorial effects of relevant variants, and possible environmental triggers. In summary, clinical phenotypes and outcome in patients with DCM often vary according to the disease gene, penetrance, age, and type of mutation.

Definitions and position statements One of the most important milestones in solving the inaccuracy in definition of patients with cardiomyopathies was the update of the classification system for cardiomyopathies within a position statement of the European Society of Cardiology (ESC) Working Group on Myocardial and Pericardial Diseases (Table 1).11 Grouping of cardiomyopathies into specific morphological and functional phenotypes with a subsequent division into familial and non-familial forms was designed first to raise awareness of a genetic disease as a cause of heart muscle dysfunction. The second aim was to provide a logical framework to ensure its continued utility in everyday clinical practice on which further investigations should be based. With an additional position paper of the same group, advances in molecular

Table 1 Requirements for diagnosis and treatment of inherited cardiomyopathies (a) Requirements to achieve the diagnosis of inherited cardiomyopathy Exact phenotyping of patients using a standardized classification system for cardiomyopathies in everyday clinical practice11 Defined diagnostic criteria for familial cardiomyopathies9 Standardized genetic counselling, family screening, and genetic testing for all patients with cardiomyopathies12 High-quality targeted next-generation sequencing with standardized quality controlled assays and transparent classification algorithms1,14 Standardized nomenclature for description of cardiomyopathies associated with mutations in different genes15 (b) Further needs for specific care and treatment in families with cardiomyopathy Establishment of prospective databases including follow-up investigations across Europe (to prove new variants and genes as disease causing, to establish new models with regard to risk stratification, and to add information on prognosis) Understanding of the pathophysiological consequences of the underlying disease-causing mutation in order to be able to develop specific therapies

genetics were recognized, presenting new opportunities and challenges for cardiologists who manage patients and families with cardiomyopathies.12 The paper reviewed general issues related to genetic counselling, family screening, and genetic testing in families

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Figure 1 Progress in the evaluation of genetic cardiomyopathies from the clinical (in green) and molecular biological (in red) point of view. DCM, dilated cardiomyopathy.

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Editorial

Future perspectives The current sequence approaches and probably future commercial clinical molecular genetic testing will lead to the identification of higher numbers of rare, private, or unique variants of partly unknown significance. This requires large efforts with regard to interpretation of clinical importance, conservation, segregation within a diseased family, and probability of the variant inducing DCM. In this context, a subsequent clinical follow-up of thoroughly phenotyped index patients and all family members is required, to establish phenotype–genotype correlations and to provide new prognostic information. This should be done using national or international prospective, multicentre, observational registries of patients presenting to referral centres in European countries such as, for example, the ESC Cardiomyopathy and Myocarditis Registry. The ESC registry is planned to determine the proportion of patients with potentially inheritable heart muscle disorders as well as to include the genetic profile and genotype–phenotype correlations of patients with identified genetic mutations. A prospective and consecutive data collection should be planned for the future. Finally, genetic data obtained in each patient require a nomenclature for description of cardiomyopathies associated with mutations in different genes. Morphofunctional trait and organ system involvement with a familial inheritance pattern, identified genetic defect, or other aetiologies should arise from this nomenclature. The MOGE(S) system published in 201315 proposes a nosology that addresses five attributes of cardiomyopathies, including morphofunctional characteristic (M), organ involvement (O), genetic or familial inheritance pattern (G), and an explicit aetiological annotation (E) with details of the genetic defect or underlying disease/cause, allowing

complete description of the disease and precise communication among physicians. Taking this together, the most important prerequisites needed to confirm a definite diagnosis in patients with cardiomyopathies and their family members including geno- and phenotyping are already established. Future efforts have to focus on the introduction of prospective databases to be able finally to first prove new variants and genes as disease causing. The understanding of the molecular defect and its consequence on cell function may lead to the development of new and specific treatment options in inherited cardiomyopathies as it is discussed for small molecules interrupting the pathological cascade within the heart muscle cell.16 Secondly, new models with regard to risk stratification in a particular family, in addition to information on the prognosis, will emerge from the data which arise. At least we should bear in mind that just the understanding of the pathogenesis of cardiomyopathies on the molecular level may lead to prevention or specific therapy of the disease, which hopefully will be on the horizon in the near future. Conflict of interest: none declared

References 1. Haas J, Frese KS, Peil B, Kloos W, Keller A, Nietsch R, Feng Z, Mu¨ller S, Kayvanpour E, Vogel B, Sedaghat-Hamedani F, Lim WK, Zhao X, Fradkin D, Ko¨hler D, Fischer S, Franke J, Marquart S, Barb I, Li DT, Amr A, Ehlermann P, Mereles D, Weis T, Hassel S, Kremer A, King V, Wirsz E, Isnard R, Komajda M, Serio A, Grasso M, Syrris P, Wicks E, Plagnol V, Lopes L, Gadgaard T, Eiskjær H, Jørgensen M, Garcia-Giustiniani D, Ortiz-Genga M, Crespo-Leiro MG, Deprez RH, Christiaans I, van Rijsingen IA, Wilde AA, Waldenstrom A, Bolognesi M, Bellazzi R, Mo¨rner S, Bermejo JL, Monserrat L, Villard E, Mogensen J, Pinto YM, Charron P, Elliott P, Arbustini E, Katus HA, Meder B. Atlas of the clinical genetics of human dilated cardiomyopathy. Eur Heart J 2014;doi:10.1093/eurheartj/ehu301. 2. Jarcho JA, McKenna W, Pare JA, Solomon SD, Holcombe RF, Dickie S, Levi T, Donis-Keller H, Seidman JG, Seidman CE. Mapping a gene for familial hypertrophic cardiomyopathy to chromosome 14q1. N Engl J Med 1989;321:1372 – 1378. 3. Maron BJ, Maron MS. Hypertrophic cardiomyopathy. Lancet 2013;381:242 –255. 4. Seidman JG, Seidman C. The genetic basis for cardiomyopathy: from mutation identification to mechanistic paradigms. Cell 2001;104:557–567. 5. O’Mahony C, Jichi F, Pavlou M, Monserrat L, Anastasakis A, Rapezzi C, Biagini E, Gimeno JR, Limongelli G, McKenna WJ, Omar RZ, Elliott PM; Hypertrophic Cardiomyopathy Outcomes Investigators. A novel clinical risk prediction model for sudden cardiac death in hypertrophic cardiomyopathy (HCM Risk-SCD). Eur Heart J 2014; 35:2010 –2020. 6. Captur G, Mohun TJ, Finocchiaro G, Wilson R, Levine J, Conner L, Lopes L, Patel V, Sado DM, Li C, Bassett P, Herrey A, Tome Esteban M, McKenna WJ, Seidman C, Muthurangu V, Bluemke DA, Ho CY, Elliott PM, Moon JC. Advanced assessment of cardiac morphology and prediction of gene carriage by CMR in hypertrophic cardiomyopathy—the HCMNET/UCL Collaboration. Heart 2014;100 Suppl 3: A72 –A73. 7. Grunig E, Tasman JA, Kucherer H, Franz W, Kubler W, Katus HA. Frequency and phenotypes of familial dilated cardiomyopathies. J Am Coll Cardiol 1998;31:186 – 194. 8. Michels VV, Moll PP, Miller FA, Tajik AJ, Chu JS, Driscoll DJ, Burnett JC, Rodeheffer RJ, Chesebro JH, Tazelaar HD. The frequency of familial dilated cardiomyopathy in a series of patients with idiopathic dilated cardiomyopathy. N Engl J Med 1992;326:77–82. 9. Mestroni L, Maisch B, McKenna WJ, Schwartz K, Charron P, Rocco C, Tesson F, Richter A, Wilke A, Komajda M. Guidelines for the study of familial dilated cardiomyopathies. Eur Heart J 1999;20:93 –102. 10. Hershberger RE, Hedges DJ, Morales A. Dilated cardiomyopathy: the complexity of a diverse genetic architecture. Nat Rev Cardiol 2013;10:531 –547. 11. Elliott P, Andersson B, Arbustini E, Bilinska Z, Cecchi F, Charron P, Dubourg O, Ku¨hl U, Maisch B, McKenna WJ, Monserrat L, Pankuweit S, Rapezzi C, Seferovic P, Tavazzi L, Keren A. Classification of the cardiomyopathies: a Position Statement from the European Society of Cardiology Working Group on Myocardial and Pericardial Diseases. Eur Heart J 2008;29:270 –276. 12. Charron P, Arad M, Arbustini E, Basso C, Bilinska Z, Elliott P, Helio T, Keren A, McKenna WJ, Monserrat L, Pankuweit S, Perrot A, Rapezzi C, Ristic A, Seggewiss H, van Langen I, Tavazzi L. Genetic counselling and testing in cardiomyopathies: a Position Statement of the European Society of Cardiology Working Group on Myocardial and Pericardial Diseases. Eur Heart J 2010;31:2715–2726.

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with a cardiomyopathy. The key message was that genetic counselling is recommended for any patients with a cardiomyopathy, unless an acquired cause of the cardiomyopathy is demonstrated. Genetic counselling is also appropriate in the families of those patients and should take place in the context of multidisciplinary management. An important advance of the investigation by Haas et al.1 is the involvement of several members of the INHERITANCE consortium13 sharing common clinical, scientific, and ethical standards regarding patient care and family screening. In either case, individual expertise in the clinical management and molecular genetics of inherited cardiomyopathies is based on scientific and clinical experience over years. To date, knowledge derived from basic research was not being subsequently translated into clinical practice, and the study of Haas et al. describes for the first time a systematic investigation for all clinically relevant DCM genes in a large European cohort of clinically well-defined DCM patients including clinical data, familial history, and clinical follow-up data generated within a standardized study protocol. This important prerequisite with regard to patient samples and data was combined with high-quality targeted NGS, reaching a very high 50-fold target coverage of 99.1% over all genes. Interestingly, quite comparable results using NGS with a panel covering 46 DCM genes in a smaller cohort of 149 patients were demonstrated by Pugh et al.14 High and reproducible sequence coverage to identify relevant mutations can be achieved if standardized quality-controlled assays and transparent classification algorithms are used.

Page 4 of 4 13. Larizza C, Gabetta M, Milani G, Bucalo M, Mulas F, Nuzzo A, Favalli V, Arbustini E, Bellazzi R. Supporting translational research on inherited cardiomyopathies through information technology. Methods Inf Med 2013;52:137 –147. 14. Pugh TJ, Kelly MA, Gowrisankar S, Hynes E, Seidman MA, Baxter SM, Bowser M, Harrison B, Aaron D, Mahanta LM, Lakdawala NK, McDermott G, White ET, Rehm HL, Lebo M, Funke BH. The landscape of genetic variation in dilated cardiomyopathy as surveyed by clinical DNA sequencing. Genet Med 2014;16: 601 – 608.

Editorial

15. Arbustini E, Narula N, Dec GW, Reddy KS, Greenberg B, Kushwaha S, Marwick T, Pinney S, Bellazzi R, Favalli V, Kramer C, Roberts R, Zoghbi WA, Bonow R, Tavazzi L, Fuster V, Narula J. The MOGE(S) classification for a phenotype –genotype nomenclature of cardiomyopathy: endorsed by the World Heart Federation. J Am Coll Cardiol 2013;62:2046 –2072. 16. Spudich JA. Hypertrophic and dilated cardiomyopathy: four decades of basic research on muscle lead to potential therapeutic approaches to these devastating genetic disease. Biophys J 2014;106:1236 –1249.

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Clinical genetics of dilated cardiomyopathy: on the way to personalized medicine?

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