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Reuter C, Grove ME, Orland K, Spoonamore K, Caleshu C. Clinical Cardiovascular Genetic Counselors Take a Leading Role in Team-based Variant Classification. J Genet Couns 2017; 27:751-760. [DOI: 10.1007/s10897-017-0175-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Accepted: 11/07/2017] [Indexed: 01/08/2023]
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52
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Burns C, James C, Ingles J. Communication of genetic information to families with inherited rhythm disorders. Heart Rhythm 2017; 15:780-786. [PMID: 29175646 DOI: 10.1016/j.hrthm.2017.11.024] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2017] [Indexed: 01/10/2023]
Abstract
Given the dynamic nature of the electrical activity of the heart and ongoing challenges in the diagnostics of inherited heart rhythm disorders, genetic information can be a vital aspect of family management. Communication of genetic information is complex, and the responsibility to convey this information to the family lies with the proband. Current practice falls short, requiring additional support from the clinician and multidisciplinary team. Communication is a 2-part iterative process, reliant on both the understanding of the probands and their ability to effectively communicate with relatives. With the surge of high-throughput genetic testing, results generated are increasingly complex, making the task of communication more challenging. Here we discuss 3 key issues. First, the probabilistic nature of genetic test results means uncertainty is inherent to the practice. Second, secondary findings may arise. Third, personal preferences, values, and family dynamics also come into play and must be acknowledged when considering how best to support effective communication. Here we provide insight into the challenges and provide practical advice for clinicians to support effective family communication. These strategies include acknowledging and managing genetic uncertainty, genetic counseling and informed consent, and consideration of personal and familial barriers to effective communication. We will explore the potential for developing resources to assist clinicians in providing patients with sufficient knowledge and support to communicate complex information to their at-risk relatives. Specialized multidisciplinary clinics remain the best equipped to manage patients and families with inherited heart rhythm disorders given the need for a high level of information and support.
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Affiliation(s)
- Charlotte Burns
- Agnes Ginges Centre for Molecular Cardiology, Centenary Institute, Sydney, Australia; Sydney Medical School, University of Sydney, Sydney, Australia; Department of Cardiology, Royal Prince Alfred Hospital, Sydney, Australia
| | - Cynthia James
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Jodie Ingles
- Agnes Ginges Centre for Molecular Cardiology, Centenary Institute, Sydney, Australia; Sydney Medical School, University of Sydney, Sydney, Australia; Department of Cardiology, Royal Prince Alfred Hospital, Sydney, Australia.
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53
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Smagarinsky Y, Burns C, Spinks C, Semsarian C, Ingles J. Development of a communication aid for explaining hypertrophic cardiomyopathy genetic test results. Pilot Feasibility Stud 2017; 3:53. [PMID: 29152326 PMCID: PMC5680798 DOI: 10.1186/s40814-017-0205-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Accepted: 10/31/2017] [Indexed: 01/10/2023] Open
Abstract
Background Large gene panels are now commonplace for hypertrophic cardiomyopathy (HCM), increasing the yield of uncertain genetic findings. Few resources exist which aim to facilitate communication of HCM genetic test results. We sought to develop, pilot, and refine a communication aid for probands receiving HCM genetic test results. Methods Development was a multi-step process involving expertise of a multidisciplinary team, literature review, and empirical experience. The aid went through an iterative revision process throughout the piloting phase to incorporate feedback. HCM probands attending a specialized multidisciplinary HCM clinic, aged ≥ 18 years and genetic test results available for disclosure between May and August 2016, or recently received their gene results (January–April 2015) were eligible. A purposive sampling strategy was employed, recruiting those attending clinic during the study period or those who could attend without difficulty. Results We developed and pilot tested a genetic counsellor-led communication aid. Based on clinical expertise, the aid addresses (a) what genetic testing is, (b) implications for the patient, (c) reasoning for variant classification, and (d) implications for the family. Pilot data were sought to assess knowledge, feasibility, and acceptability using a self-report survey 2 weeks post-intervention. Twelve of 13 participants completed the follow-up questionnaire. Participants valued the individualised nature of the aid, recommended use of the aid, and indicated genetic knowledge, and family communication was better facilitated. Iterative modification of images helped to more simply depict important genetic concepts. Conclusions We have developed a tool that is feasible, acceptable, and helpful to patients receiving genetic results. This is an important first step, and trial of the aid to assess effectiveness compared to usual care will follow.
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Affiliation(s)
- Yana Smagarinsky
- Agnes Ginges Centre for Molecular Cardiology, Centenary Institute, Sydney, Australia.,Sydney Medical School, University of Sydney, Sydney, Australia
| | - Charlotte Burns
- Agnes Ginges Centre for Molecular Cardiology, Centenary Institute, Sydney, Australia.,Sydney Medical School, University of Sydney, Sydney, Australia.,Department of Cardiology, Royal Prince Alfred Hospital, Sydney, Australia
| | - Catherine Spinks
- Agnes Ginges Centre for Molecular Cardiology, Centenary Institute, Sydney, Australia.,Department of Cardiology, Royal Prince Alfred Hospital, Sydney, Australia
| | - Christopher Semsarian
- Agnes Ginges Centre for Molecular Cardiology, Centenary Institute, Sydney, Australia.,Sydney Medical School, University of Sydney, Sydney, Australia.,Department of Cardiology, Royal Prince Alfred Hospital, Sydney, Australia
| | - Jodie Ingles
- Agnes Ginges Centre for Molecular Cardiology, Centenary Institute, Sydney, Australia.,Sydney Medical School, University of Sydney, Sydney, Australia.,Department of Cardiology, Royal Prince Alfred Hospital, Sydney, Australia
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54
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Repeat genetic testing with targeted capture sequencing in primary arrhythmia syndrome and cardiomyopathy. Eur J Hum Genet 2017; 25:1313-1323. [PMID: 29255176 DOI: 10.1038/s41431-017-0004-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Revised: 08/01/2017] [Accepted: 08/04/2017] [Indexed: 11/09/2022] Open
Abstract
In inherited primary arrhythmia syndromes (PAS) and cardiomyopathies (CMP), the yield of genetic testing varies between 20 and 75% in different diseases according to studies performed in the pre next-generation sequencing (NGS) era. It is unknown whether retesting historical negative samples with NGS techniques is worthwhile. Therefore, we assessed the value of NGS-based panel testing in previously genotype negative-phenotype positive probands. We selected 107 patients (47 PAS and 60 CMP) with a clear phenotype who remained genotype negative after genetic analysis of the main genes implicated in their specific phenotype. Targeted sequencing of the coding regions of 71 PAS- and CMP-related genes was performed. Variant interpretation and classification was done according to a cardiology-specific scoring algorithm ('Amsterdam criteria') and the ACMG-AMP criteria. Co-segregation analysis was performed when DNA and clinical data of family members were available. Finally, a genetic diagnosis could be established in 21 patients (20%), 5 PAS (11%) and 16 CMP (27%) patients, respectively. The increased detection rate was due to sequencing of novel genes in 52% of the cases and due to technical failures with the historical analysis in 48%. A total of 118 individuals were informed about their carrier state and either reassured or scheduled for proper follow-up. To conclude, genetic retesting in clinically overt PAS and CMP cases, who were genotype negative with older techniques, resulted in an additional genetic diagnosis in up to 20% of the cases. This clearly supports a policy for genetic retesting with NGS-based panels.
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Furqan A, Arscott P, Girolami F, Cirino AL, Michels M, Day SM, Olivotto I, Ho CY, Ashley E, Green EM, Caleshu C. Care in Specialized Centers and Data Sharing Increase Agreement in Hypertrophic Cardiomyopathy Genetic Test Interpretation. ACTA ACUST UNITED AC 2017; 10:CIRCGENETICS.116.001700. [DOI: 10.1161/circgenetics.116.001700] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2016] [Accepted: 07/21/2017] [Indexed: 11/16/2022]
Abstract
Background—
Clinically impactful differences in the interpretation of genetic test results occur between laboratories and clinicians. To improve the classification of variants, a better understanding of why discrepancies occur and how they can be reduced is needed.
Methods and Results—
We examined the frequency, causes, and resolution of discordant variant classifications in the Sarcomeric Human Cardiomyopathy Registry (SHaRe), a consortium of international centers with expertise in the clinical management and genetic architecture of hypertrophic cardiomyopathy. Of the 112 variants present in patients at >1 center, 23 had discordant classifications among centers (20.5%; Fleiss κ, 0.54). Discordance was more than twice as frequent among clinical laboratories in ClinVar, a public archive of variant classifications (315/695 variants; 45.2%; Fleiss κ, 0.30;
P
<0.001). Discordance in SHaRe most frequently occurred because hypertrophic cardiomyopathy centers had access to different privately held data when making their classifications (75.0%). Centers reassessed their classifications based on a comprehensive and current data summary, leading to reclassifications that reduced the discordance rate from 20.5% to 10.7%. Different interpretations of rarity and co-occurrence with pathogenic variants contributed to residual discordance.
Conclusions—
Discordance in variant classification among hypertrophic cardiomyopathy centers is largely attributable to privately held data. Some discrepancies are caused by differences in expert assessment of conflicting data. Discordance was markedly lower among centers specialized in hypertrophic cardiomyopathy than among clinical laboratories, suggesting that optimal genetic test interpretation occurs in the context of clinical care delivered by specialized centers with both clinical and genetics expertise.
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Affiliation(s)
- Aisha Furqan
- From the California Department of Biological Sciences, State University, Stanislaus, Turlock, CA (A.F.); Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI (P.A., S.M.D.); Genetics Unit, Careggi University Hospital, Florence, Italy (F.G.); Cardiovascular Division, Brigham and Women’s Hospital, Boston, MA (A.L.C., C.Y.H.); Department of Cardiology, Thoraxcenter, Erasmus Medical Center, Rotterdam, The Netherlands (M.M.); Referral Center for Myocardial Diseases, Azienda
| | - Patricia Arscott
- From the California Department of Biological Sciences, State University, Stanislaus, Turlock, CA (A.F.); Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI (P.A., S.M.D.); Genetics Unit, Careggi University Hospital, Florence, Italy (F.G.); Cardiovascular Division, Brigham and Women’s Hospital, Boston, MA (A.L.C., C.Y.H.); Department of Cardiology, Thoraxcenter, Erasmus Medical Center, Rotterdam, The Netherlands (M.M.); Referral Center for Myocardial Diseases, Azienda
| | - Francesca Girolami
- From the California Department of Biological Sciences, State University, Stanislaus, Turlock, CA (A.F.); Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI (P.A., S.M.D.); Genetics Unit, Careggi University Hospital, Florence, Italy (F.G.); Cardiovascular Division, Brigham and Women’s Hospital, Boston, MA (A.L.C., C.Y.H.); Department of Cardiology, Thoraxcenter, Erasmus Medical Center, Rotterdam, The Netherlands (M.M.); Referral Center for Myocardial Diseases, Azienda
| | - Allison L. Cirino
- From the California Department of Biological Sciences, State University, Stanislaus, Turlock, CA (A.F.); Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI (P.A., S.M.D.); Genetics Unit, Careggi University Hospital, Florence, Italy (F.G.); Cardiovascular Division, Brigham and Women’s Hospital, Boston, MA (A.L.C., C.Y.H.); Department of Cardiology, Thoraxcenter, Erasmus Medical Center, Rotterdam, The Netherlands (M.M.); Referral Center for Myocardial Diseases, Azienda
| | - Michelle Michels
- From the California Department of Biological Sciences, State University, Stanislaus, Turlock, CA (A.F.); Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI (P.A., S.M.D.); Genetics Unit, Careggi University Hospital, Florence, Italy (F.G.); Cardiovascular Division, Brigham and Women’s Hospital, Boston, MA (A.L.C., C.Y.H.); Department of Cardiology, Thoraxcenter, Erasmus Medical Center, Rotterdam, The Netherlands (M.M.); Referral Center for Myocardial Diseases, Azienda
| | - Sharlene M. Day
- From the California Department of Biological Sciences, State University, Stanislaus, Turlock, CA (A.F.); Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI (P.A., S.M.D.); Genetics Unit, Careggi University Hospital, Florence, Italy (F.G.); Cardiovascular Division, Brigham and Women’s Hospital, Boston, MA (A.L.C., C.Y.H.); Department of Cardiology, Thoraxcenter, Erasmus Medical Center, Rotterdam, The Netherlands (M.M.); Referral Center for Myocardial Diseases, Azienda
| | - Iacopo Olivotto
- From the California Department of Biological Sciences, State University, Stanislaus, Turlock, CA (A.F.); Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI (P.A., S.M.D.); Genetics Unit, Careggi University Hospital, Florence, Italy (F.G.); Cardiovascular Division, Brigham and Women’s Hospital, Boston, MA (A.L.C., C.Y.H.); Department of Cardiology, Thoraxcenter, Erasmus Medical Center, Rotterdam, The Netherlands (M.M.); Referral Center for Myocardial Diseases, Azienda
| | - Carolyn Y. Ho
- From the California Department of Biological Sciences, State University, Stanislaus, Turlock, CA (A.F.); Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI (P.A., S.M.D.); Genetics Unit, Careggi University Hospital, Florence, Italy (F.G.); Cardiovascular Division, Brigham and Women’s Hospital, Boston, MA (A.L.C., C.Y.H.); Department of Cardiology, Thoraxcenter, Erasmus Medical Center, Rotterdam, The Netherlands (M.M.); Referral Center for Myocardial Diseases, Azienda
| | - Euan Ashley
- From the California Department of Biological Sciences, State University, Stanislaus, Turlock, CA (A.F.); Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI (P.A., S.M.D.); Genetics Unit, Careggi University Hospital, Florence, Italy (F.G.); Cardiovascular Division, Brigham and Women’s Hospital, Boston, MA (A.L.C., C.Y.H.); Department of Cardiology, Thoraxcenter, Erasmus Medical Center, Rotterdam, The Netherlands (M.M.); Referral Center for Myocardial Diseases, Azienda
| | - Eric M. Green
- From the California Department of Biological Sciences, State University, Stanislaus, Turlock, CA (A.F.); Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI (P.A., S.M.D.); Genetics Unit, Careggi University Hospital, Florence, Italy (F.G.); Cardiovascular Division, Brigham and Women’s Hospital, Boston, MA (A.L.C., C.Y.H.); Department of Cardiology, Thoraxcenter, Erasmus Medical Center, Rotterdam, The Netherlands (M.M.); Referral Center for Myocardial Diseases, Azienda
| | - Colleen Caleshu
- From the California Department of Biological Sciences, State University, Stanislaus, Turlock, CA (A.F.); Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI (P.A., S.M.D.); Genetics Unit, Careggi University Hospital, Florence, Italy (F.G.); Cardiovascular Division, Brigham and Women’s Hospital, Boston, MA (A.L.C., C.Y.H.); Department of Cardiology, Thoraxcenter, Erasmus Medical Center, Rotterdam, The Netherlands (M.M.); Referral Center for Myocardial Diseases, Azienda
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Mademont-Soler I, Mates J, Yotti R, Espinosa MA, Pérez-Serra A, Fernandez-Avila AI, Coll M, Méndez I, Iglesias A, del Olmo B, Riuró H, Cuenca S, Allegue C, Campuzano O, Picó F, Ferrer-Costa C, Álvarez P, Castillo S, Garcia-Pavia P, Gonzalez-Lopez E, Padron-Barthe L, Díaz de Bustamante A, Darnaude MT, González-Hevia JI, Brugada J, Fernandez-Aviles F, Brugada R. Additional value of screening for minor genes and copy number variants in hypertrophic cardiomyopathy. PLoS One 2017; 12:e0181465. [PMID: 28771489 PMCID: PMC5542623 DOI: 10.1371/journal.pone.0181465] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2017] [Accepted: 06/30/2017] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION Hypertrophic cardiomyopathy (HCM) is the most prevalent inherited heart disease. Next-generation sequencing (NGS) is the preferred genetic test, but the diagnostic value of screening for minor and candidate genes, and the role of copy number variants (CNVs) deserves further evaluation. METHODS Three hundred and eighty-seven consecutive unrelated patients with HCM were screened for genetic variants in the 5 most frequent genes (MYBPC3, MYH7, TNNT2, TNNI3 and TPM1) using Sanger sequencing (N = 84) or NGS (N = 303). In the NGS cohort we analyzed 20 additional minor or candidate genes, and applied a proprietary bioinformatics algorithm for detecting CNVs. Additionally, the rate and classification of TTN variants in HCM were compared with 427 patients without structural heart disease. RESULTS The percentage of patients with pathogenic/likely pathogenic (P/LP) variants in the main genes was 33.3%, without significant differences between the Sanger sequencing and NGS cohorts. The screening for 20 additional genes revealed LP variants in ACTC1, MYL2, MYL3, TNNC1, GLA and PRKAG2 in 12 patients. This approach resulted in more inconclusive tests (36.0% vs. 9.6%, p<0.001), mostly due to variants of unknown significance (VUS) in TTN. The detection rate of rare variants in TTN was not significantly different to that found in the group of patients without structural heart disease. In the NGS cohort, 4 patients (1.3%) had pathogenic CNVs: 2 deletions in MYBPC3 and 2 deletions involving the complete coding region of PLN. CONCLUSIONS A small percentage of HCM cases without point mutations in the 5 main genes are explained by P/LP variants in minor or candidate genes and CNVs. Screening for variants in TTN in HCM patients drastically increases the number of inconclusive tests, and shows a rate of VUS that is similar to patients without structural heart disease, suggesting that this gene should not be analyzed for clinical purposes in HCM.
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Affiliation(s)
- Irene Mademont-Soler
- Cardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
| | - Jesus Mates
- Cardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain
| | - Raquel Yotti
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón. Universidad Complutense, Madrid, Spain
| | - Maria Angeles Espinosa
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón. Universidad Complutense, Madrid, Spain
| | - Alexandra Pérez-Serra
- Cardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
| | - Ana Isabel Fernandez-Avila
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón. Universidad Complutense, Madrid, Spain
| | - Monica Coll
- Cardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
| | - Irene Méndez
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón. Universidad Complutense, Madrid, Spain
| | - Anna Iglesias
- Cardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
| | - Bernat del Olmo
- Cardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain
| | - Helena Riuró
- Cardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain
| | - Sofía Cuenca
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón. Universidad Complutense, Madrid, Spain
| | - Catarina Allegue
- Cardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain
| | - Oscar Campuzano
- Cardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Department of Medical Sciences, School of Medicine, University of Girona, Girona, Spain
| | - Ferran Picó
- Cardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain
| | | | | | | | - Pablo Garcia-Pavia
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Inherited Cardiac Diseases Unit. Department of Cardiology. Hospital Universitario Puerta de Hierro, Francisco de Vitoria University, Madrid, Spain
| | - Esther Gonzalez-Lopez
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Inherited Cardiac Diseases Unit. Department of Cardiology. Hospital Universitario Puerta de Hierro, Francisco de Vitoria University, Madrid, Spain
| | - Laura Padron-Barthe
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Inherited Cardiac Diseases Unit. Department of Cardiology. Hospital Universitario Puerta de Hierro, Francisco de Vitoria University, Madrid, Spain
| | | | | | | | - Josep Brugada
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Arrhythmia Unit, Hospital Clinic de Barcelona, University of Barcelona, Barcelona, Spain
| | - Francisco Fernandez-Aviles
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón. Universidad Complutense, Madrid, Spain
| | - Ramon Brugada
- Cardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Department of Medical Sciences, School of Medicine, University of Girona, Girona, Spain
- Cardiovascular Genetics Unit, Hospital Universitari Dr. Josep Trueta, Girona, Spain
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Fourey D, Care M, Siminovitch KA, Weissler-Snir A, Hindieh W, Chan RH, Gollob MH, Rakowski H, Adler A. Prevalence and Clinical Implication of Double Mutations in Hypertrophic Cardiomyopathy. ACTA ACUST UNITED AC 2017; 10:CIRCGENETICS.116.001685. [DOI: 10.1161/circgenetics.116.001685] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2016] [Accepted: 02/07/2017] [Indexed: 11/16/2022]
Abstract
Background—
Available data suggests that double mutations in patients with hypertrophic cardiomyopathy are not rare and are associated with a more severe phenotype. Most of this data, however, is based on noncontemporary variant classification.
Methods and Results—
Clinical data of all hypertrophic cardiomyopathy patients with 2 rare genetic variants were retrospectively reviewed and compared with a group of patients with a single disease-causing variant. Furthermore, a literature search was performed for all studies with information on prevalence and outcome of patients with double mutations. Classification of genetic variants was reanalyzed according to current guidelines. In our cohort (n=1411), 9% of gene-positive patients had 2 rare variants in sarcomeric genes but only in 1 case (0.4%) were both variants classified as pathogenic. Patients with 2 rare variants had a trend toward younger age at presentation when compared with patients with a single mutation. All other clinical variables were similar. In data pooled from cohort studies in the literature, 8% of gene-positive patients were published to have double mutations. However, after reanalysis of reported variants, this prevalence diminished to 0.4%. All patients with 2 radical mutations in
MYBPC3
in the literature had severe disease with death or heart transplant during the first year of life. Data on other specific genotype–phenotype correlations were scarce.
Conclusions—
Double mutations in patients with hypertrophic cardiomyopathy are much less common than previously estimated. With the exception of double radical
MYBPC3
mutations, there is little data to guide clinical decision making in cases with double mutations.
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Affiliation(s)
- Dana Fourey
- From the Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, Toronto, Ontario, Canada (D.F., A.W.-S., W.H., R.H.C., M.H.G., H.R., A.A.); Fred A. Litwin & Family Center in Genetic Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada (M.C., K.A.S.)
| | - Melanie Care
- From the Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, Toronto, Ontario, Canada (D.F., A.W.-S., W.H., R.H.C., M.H.G., H.R., A.A.); Fred A. Litwin & Family Center in Genetic Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada (M.C., K.A.S.)
| | - Katherine A. Siminovitch
- From the Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, Toronto, Ontario, Canada (D.F., A.W.-S., W.H., R.H.C., M.H.G., H.R., A.A.); Fred A. Litwin & Family Center in Genetic Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada (M.C., K.A.S.)
| | - Adaya Weissler-Snir
- From the Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, Toronto, Ontario, Canada (D.F., A.W.-S., W.H., R.H.C., M.H.G., H.R., A.A.); Fred A. Litwin & Family Center in Genetic Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada (M.C., K.A.S.)
| | - Waseem Hindieh
- From the Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, Toronto, Ontario, Canada (D.F., A.W.-S., W.H., R.H.C., M.H.G., H.R., A.A.); Fred A. Litwin & Family Center in Genetic Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada (M.C., K.A.S.)
| | - Raymond H. Chan
- From the Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, Toronto, Ontario, Canada (D.F., A.W.-S., W.H., R.H.C., M.H.G., H.R., A.A.); Fred A. Litwin & Family Center in Genetic Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada (M.C., K.A.S.)
| | - Michael H. Gollob
- From the Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, Toronto, Ontario, Canada (D.F., A.W.-S., W.H., R.H.C., M.H.G., H.R., A.A.); Fred A. Litwin & Family Center in Genetic Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada (M.C., K.A.S.)
| | - Harry Rakowski
- From the Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, Toronto, Ontario, Canada (D.F., A.W.-S., W.H., R.H.C., M.H.G., H.R., A.A.); Fred A. Litwin & Family Center in Genetic Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada (M.C., K.A.S.)
| | - Arnon Adler
- From the Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, Toronto, Ontario, Canada (D.F., A.W.-S., W.H., R.H.C., M.H.G., H.R., A.A.); Fred A. Litwin & Family Center in Genetic Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada (M.C., K.A.S.)
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Kraker J, Viswanathan SK, Knöll R, Sadayappan S. Recent Advances in the Molecular Genetics of Familial Hypertrophic Cardiomyopathy in South Asian Descendants. Front Physiol 2016; 7:499. [PMID: 27840609 PMCID: PMC5083855 DOI: 10.3389/fphys.2016.00499] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Accepted: 10/12/2016] [Indexed: 12/14/2022] Open
Abstract
The South Asian population, numbered at 1.8 billion, is estimated to comprise around 20% of the global population and 1% of the American population, and has one of the highest rates of cardiovascular disease. While South Asians show increased classical risk factors for developing heart failure, the role of population-specific genetic risk factors has not yet been examined for this group. Hypertrophic cardiomyopathy (HCM) is one of the major cardiac genetic disorders among South Asians, leading to contractile dysfunction, heart failure, and sudden cardiac death. This disease displays autosomal dominant inheritance, and it is associated with a large number of variants in both sarcomeric and non-sarcomeric proteins. The South Asians, a population with large ethnic diversity, potentially carries region-specific polymorphisms. There is high variability in disease penetrance and phenotypic expression of variants associated with HCM. Thus, extensive studies are required to decipher pathogenicity and the physiological mechanisms of these variants, as well as the contribution of modifier genes and environmental factors to disease phenotypes. Conducting genotype-phenotype correlation studies will lead to improved understanding of HCM and, consequently, improved treatment options for this high-risk population. The objective of this review is to report the history of cardiovascular disease and HCM in South Asians, present previously published pathogenic variants, and introduce current efforts to study HCM using induced pluripotent stem cell-derived cardiomyocytes, next-generation sequencing, and gene editing technologies. The authors ultimately hope that this review will stimulate further research, drive novel discoveries, and contribute to the development of personalized medicine with the aim of expanding therapeutic strategies for HCM.
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Affiliation(s)
- Jessica Kraker
- Department of Internal Medicine, Heart, Lung and Vascular Institute, Division of Cardiovascular Health and Sciences, University of Cincinnati College of Medicine Cincinnati, OH, USA
| | - Shiv Kumar Viswanathan
- Department of Internal Medicine, Heart, Lung and Vascular Institute, Division of Cardiovascular Health and Sciences, University of Cincinnati College of Medicine Cincinnati, OH, USA
| | - Ralph Knöll
- AstraZeneca R&D Mölndal, Innovative Medicines and Early Development, Cardiovascular and Metabolic Diseases iMedMölndal, Sweden; Integrated Cardio Metabolic Centre, Karolinska Institutet, Myocardial Genetics, Karolinska University Hospital in HuddingeHuddinge, Sweden
| | - Sakthivel Sadayappan
- Department of Internal Medicine, Heart, Lung and Vascular Institute, Division of Cardiovascular Health and Sciences, University of Cincinnati College of Medicine Cincinnati, OH, USA
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Barefield DY, Lynch TL, Jagadeesan A, Sanagala T, Sadayappan S. High-Throughput Diagnostic Assay for a Highly Prevalent Cardiomyopathy-Associated MYBPC3 Variant. ACTA ACUST UNITED AC 2016; 7. [PMID: 27990320 PMCID: PMC5160998 DOI: 10.4172/2155-9929.1000303] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
A 25-basepair deletion variant of MYBPC3 occurs at high frequency in individuals of South Asian descent and is estimated to affect 55 million people worldwide, carrying an increased likelihood of cardiomyopathy. Since this variant is prevalent and severe in this subpopulation, quick and affordable screening to provide risk-assessment to guide treatment for these patients is critical. An RNaseH qPCR assay was developed to quickly and specifically diagnose the presence of the 25-basepair deletion variant in MYBPC3. RNAseH-blocked nucleotide primers were designed to identify the presence or absence of the wild type MYBPC3 allele or the genomic sequence containing the 25-basepair deletion. Using this assay, three blinded operators were able to accurately determine the genotype from human genomic DNA samples from blood and saliva using a qPCR thermocycler. Furthermore, positive variant subjects were examined by both electrocardiography and echocardiography for the presence of cardiomyopathy. A simple, robust assay was established, verified and validated that can be automated to detect the presence of the highly prevalent 25-basepair deletion MYBPC3 variant using both blood and saliva samples. The assay will provide quick and accurate prescreening of individuals at high risk for cardiomyopathies and allow for better clinical identification of 25-basepair deletion MYBPC3 carriers in large cohort epidemiological studies.
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Affiliation(s)
- David Y Barefield
- Department of Cell and Molecular Physiology, Loyola University, Chicago, USA; Center for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Thomas L Lynch
- Department of Cell and Molecular Physiology, Loyola University, Chicago, USA
| | | | - Thriveni Sanagala
- Department of Cardiology and Echocardiography and Cardiographics, Loyola University, Chicago, USA
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Caracausi M, Piovesan A, Vitale L, Pelleri MC. Integrated Transcriptome Map Highlights Structural and Functional Aspects of the Normal Human Heart. J Cell Physiol 2016; 232:759-770. [PMID: 27345625 DOI: 10.1002/jcp.25471] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2016] [Accepted: 06/24/2016] [Indexed: 12/22/2022]
Abstract
A systematic meta-analysis of the available gene expression profiling datasets for the whole normal human heart generated a quantitative transcriptome reference map of this organ. Transcriptome Mapper (TRAM) software integrated 32 gene expression profile datasets from different sources returning a reference value of expression for each of the 43,360 known, mapped transcripts assayed by any of the experimental platforms used in this regard. Main findings include the visualization at the gene and chromosomal levels of the classical description of the basic histology and physiology of the heart, the identification of suitable housekeeping reference genes, the analysis of stoichiometry of gene products, and the focusing on chromosome 21 genes, which are present in one excess copy in Down syndrome subjects, presenting cardiovascular defects in 30-40% of cases. Independent in vitro validation showed an excellent correlation coefficient (r = 0.98) with the in silico data. Remarkably, heart/non-cardiac tissue expression ratio may also be used to anticipate that effects of mutations will most probably affect or not the heart. The quantitative reference global portrait of gene expression in the whole normal human heart illustrates the structural and functional aspects of the whole organ and is a general model to understand the mechanisms underlying heart pathophysiology. J. Cell. Physiol. 232: 759-770, 2017. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Maria Caracausi
- Unit of Histology, Embryology and Applied Biology, Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Allison Piovesan
- Unit of Histology, Embryology and Applied Biology, Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Lorenza Vitale
- Unit of Histology, Embryology and Applied Biology, Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Maria Chiara Pelleri
- Unit of Histology, Embryology and Applied Biology, Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
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Zhao Y, Cao H, Song Y, Feng Y, Ding X, Pang M, Zhang Y, Zhang H, Ding J, Xia X. Identification of novel mutations including a double mutation in patients with inherited cardiomyopathy by a targeted sequencing approach using the Ion Torrent PGM system. Int J Mol Med 2016; 37:1511-20. [PMID: 27082122 PMCID: PMC4867886 DOI: 10.3892/ijmm.2016.2565] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2015] [Accepted: 04/08/2016] [Indexed: 12/19/2022] Open
Abstract
Inherited cardiomyopathy is the major cause of sudden cardiac death (SCD) and heart failure (HF). The disease is associated with extensive genetic heterogeneity; pathogenic mutations in cardiac sarcomere protein genes, cytoskeletal protein genes and nuclear envelope protein genes have been linked to its etiology. Early diagnosis is conducive to clinical monitoring and allows for presymptomatic interventions as needed. In the present study, the entire coding sequences and flanking regions of 12 major disease (cardiomyopathy)-related genes [namely myosin, heavy chain 7, cardiac muscle, β (MYH7); myosin binding protein C, cardiac (MYBPC3); lamin A/C (LMNA); troponin I type 3 (cardiac) (TNNI3); troponin T type 2 (cardiac) (TNNT2); actin, α, cardiac muscle 1 (ACTC1); tropomyosin 1 (α) (TPM1); sodium channel, voltage gated, type V alpha subunit (SCN5A); myosin, light chain 2, regulatory, cardiac, slow (MYL2); myosin, heavy chain 6, cardiac muscle, α (MYH6); myosin, light chain 3, alkali, ventricular, skeletal, slow (MYL3); and protein kinase, AMP-activated, gamma 2 non-catalytic subunit (PRKAG2)] in 8 patients with dilated cardiomyopathy (DCM) and in 8 patients with hypertrophic cardiomyopathy (HCM) were amplified and then sequenced using the Ion Torrent Personal Genome Machine (PGM) system. As a result, a novel heterozygous mutation (MYH7, p.Asn885Thr) and a variant of uncertain significance (TNNT2, p.Arg296His) were identified in 2 patients with HCM. These 2 missense mutations, which were absent in the samples obtained from the 200 healthy control subjects, altered the amino acid that was evolutionarily conserved among a number of vertebrate species; this illustrates that these 2 non-synonymous mutations play a role in the pathogenesis of HCM. Moreover, a double heterozygous mutation (PRKAG2, p.Gly100Ser plus MYH7, p.Arg719Trp) was identified in a patient with severe familial HCM, for the first time to the best of our knowledge. This patient provided us with more information regarding the genotype-phenotype correlation between mutations of MYH7 and PRKAG2. Taken together, these findings provide insight into the molecular mechanisms underlying inherited cardiomyopathy. The mutations identified in this study may be further investigated in the future in order to improve the diagnosis and treatment of patients with inherited cardiomyopathy. Furthermore, our findings indicated that sequencing using the Ion Torrent PGM system is a useful approach for the identification of pathogenic mutations associated with inherited cardiomyopathy, and it may be used for the risk evaluation of individuals with a possible susceptibility to inherited cardiomyopathy.
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Affiliation(s)
- Yue Zhao
- Faculty of Life Science and Technology, Research Center for Molecular Medicine in Yunnan Province, Kunming University of Science and Technology, Kunming, Yunnan 650500, P.R. China
| | - Hong Cao
- Department of Cardiology, The First Hospital of Yunnan Province, Kunming, Yunnan 650034, P.R. China
| | - Yindi Song
- Department of Cardiology, The First Hospital of Yunnan Province, Kunming, Yunnan 650034, P.R. China
| | - Yue Feng
- Faculty of Life Science and Technology, Research Center for Molecular Medicine in Yunnan Province, Kunming University of Science and Technology, Kunming, Yunnan 650500, P.R. China
| | - Xiaoxue Ding
- Department of Cardiology, The First Hospital of Yunnan Province, Kunming, Yunnan 650034, P.R. China
| | - Mingjie Pang
- Department of Cardiology, The First Hospital of Yunnan Province, Kunming, Yunnan 650034, P.R. China
| | - Yunmei Zhang
- Department of Cardiology, The First Hospital of Yunnan Province, Kunming, Yunnan 650034, P.R. China
| | - Hong Zhang
- Department of Cardiology, The First Hospital of Yunnan Province, Kunming, Yunnan 650034, P.R. China
| | - Jiahuan Ding
- Faculty of Life Science and Technology, Research Center for Molecular Medicine in Yunnan Province, Kunming University of Science and Technology, Kunming, Yunnan 650500, P.R. China
| | - Xueshan Xia
- Faculty of Life Science and Technology, Research Center for Molecular Medicine in Yunnan Province, Kunming University of Science and Technology, Kunming, Yunnan 650500, P.R. China
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Identification of a mutation causing hypertrophic cardiomyopathy using whole exome sequencing: A proof-of-concept. J Cardiol 2016; 67:131-2. [DOI: 10.1016/j.jjcc.2015.10.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2015] [Accepted: 10/07/2015] [Indexed: 11/21/2022]
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Reply: What Is the True Prevalence of Hypertrophic Cardiomyopathy? J Am Coll Cardiol 2016; 66:1846-1847. [PMID: 26483114 DOI: 10.1016/j.jacc.2015.07.073] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2015] [Accepted: 07/22/2015] [Indexed: 11/24/2022]
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Ingles J, Burns C, Barratt A, Semsarian C. Application of Genetic Testing in Hypertrophic Cardiomyopathy for Preclinical Disease Detection. ACTA ACUST UNITED AC 2015; 8:852-9. [DOI: 10.1161/circgenetics.115.001093] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Jodie Ingles
- From the Agnes Ginges Centre for Molecular Cardiology, Centenary Institute, Sydney NSW, Australia (J.I., C.B., C.S.); Central Clinical School, Sydney Medical School, University of Sydney, Sydney NSW, Australia (J.I., C.B., C.S.); School of Population Health, Sydney Medical School, University of Sydney, Sydney NSW, Australia (A.B.); and Department of Cardiology, Royal Prince Alfred Hospital, Sydney NSW, Australia (J.I., C.B., C.S.)
| | - Charlotte Burns
- From the Agnes Ginges Centre for Molecular Cardiology, Centenary Institute, Sydney NSW, Australia (J.I., C.B., C.S.); Central Clinical School, Sydney Medical School, University of Sydney, Sydney NSW, Australia (J.I., C.B., C.S.); School of Population Health, Sydney Medical School, University of Sydney, Sydney NSW, Australia (A.B.); and Department of Cardiology, Royal Prince Alfred Hospital, Sydney NSW, Australia (J.I., C.B., C.S.)
| | - Alexandra Barratt
- From the Agnes Ginges Centre for Molecular Cardiology, Centenary Institute, Sydney NSW, Australia (J.I., C.B., C.S.); Central Clinical School, Sydney Medical School, University of Sydney, Sydney NSW, Australia (J.I., C.B., C.S.); School of Population Health, Sydney Medical School, University of Sydney, Sydney NSW, Australia (A.B.); and Department of Cardiology, Royal Prince Alfred Hospital, Sydney NSW, Australia (J.I., C.B., C.S.)
| | - Christopher Semsarian
- From the Agnes Ginges Centre for Molecular Cardiology, Centenary Institute, Sydney NSW, Australia (J.I., C.B., C.S.); Central Clinical School, Sydney Medical School, University of Sydney, Sydney NSW, Australia (J.I., C.B., C.S.); School of Population Health, Sydney Medical School, University of Sydney, Sydney NSW, Australia (A.B.); and Department of Cardiology, Royal Prince Alfred Hospital, Sydney NSW, Australia (J.I., C.B., C.S.)
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Semsarian C, Ingles J. Determining pathogenicity in cardiac genetic testing: Filling in the blank spaces. Trends Cardiovasc Med 2015; 25:653-4. [DOI: 10.1016/j.tcm.2015.03.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2015] [Accepted: 03/03/2015] [Indexed: 10/23/2022]
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Affiliation(s)
- Barry J Maron
- From the Hypertrophic Cardiomyopathy Center, Minneapolis Heart Institute Foundation, Minneapolis (B.J.M.); and Hypertropic Cardiomyopathy Center, Tufts Medical Center, Boston, MA (M.S.M.).
| | - Martin S Maron
- From the Hypertrophic Cardiomyopathy Center, Minneapolis Heart Institute Foundation, Minneapolis (B.J.M.); and Hypertropic Cardiomyopathy Center, Tufts Medical Center, Boston, MA (M.S.M.)
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Abstract
With the wider deployment of massively-parallel, next-generation sequencing, it is now possible to survey human genome data for research and clinical purposes. The reduced cost of producing short-read sequencing has now shifted the burden to data analysis. Analysis of genome sequencing remains challenged by the complexity of the human genome, including redundancy and the repetitive nature of genome elements and the large amount of variation in individual genomes. Public databases of human genome sequences greatly facilitate interpretation of common and rare genetic variation, although linking database sequence information to detailed clinical information is limited by privacy and practical issues. Genetic variation is a rich source of knowledge for cardiovascular disease because many, if not all, cardiovascular disorders are highly heritable. The role of rare genetic variation in predicting risk and complications of cardiovascular diseases has been well established for hypertrophic and dilated cardiomyopathy, where the number of genes that are linked to these disorders is growing. Bolstered by family data, where genetic variants segregate with disease, rare variation can be linked to specific genetic variation that offers profound diagnostic information. Understanding genetic variation in cardiomyopathy is likely to help stratify forms of heart failure and guide therapy. Ultimately, genetic variation may be amenable to gene correction and gene editing strategies.
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Affiliation(s)
- Elizabeth M McNally
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine
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Semsarian C, Ingles J, Wilde AAM. Sudden cardiac death in the young: the molecular autopsy and a practical approach to surviving relatives. Eur Heart J 2015; 36:1290-6. [PMID: 25765769 DOI: 10.1093/eurheartj/ehv063] [Citation(s) in RCA: 180] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2014] [Accepted: 02/25/2015] [Indexed: 12/19/2022] Open
Abstract
The sudden death of a young, apparently fit and healthy person is amongst the most challenging scenarios in clinical medicine. Sudden cardiac death (SCD) is a devastating and tragic outcome of a number of underlying cardiovascular diseases. While coronary artery disease and acute myocardial infarction are the most common causes of SCD in older populations, genetic (inherited) cardiac disorders comprise a substantial proportion of SCD cases aged 40 years and less. This includes the primary arrhythmogenic disorders such as long QT syndromes and inherited cardiomyopathies, namely hypertrophic cardiomyopathy. In up to 30% of young SCD, no cause of death is identified at postmortem, so-called autopsy-negative or sudden arrhythmic death syndrome (SADS). Management of families following SCD begins with a concerted effort to identify the cause of death in the decedent, based on either premorbid clinical details or the pathological findings at postmortem. Where no cause of death is identified, genetic testing of deoxyribonucleic acid extracted from postmortem blood (the molecular autopsy) may identify a cause of death in up to 30% of SADS cases. Irrespective of the genetic testing considerations, all families in which a sudden unexplained death has occurred require targeted and standardized clinical testing in an attempt to identify relatives who may be at-risk of having the same inherited heart disease and therefore also predisposed to an increased risk of SCD. Optimal care of SCD families therefore requires dedicated and appropriately trained staff in the setting of a specialized multidisciplinary cardiac genetic clinic.
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Affiliation(s)
- Christopher Semsarian
- Agnes Ginges Centre for Molecular Cardiology, Centenary Institute, Sydney, Australia Sydney Medical School, University of Sydney, Sydney, Australia Department of Cardiology, Royal Prince Alfred Hospital, Sydney, Australia
| | - Jodie Ingles
- Agnes Ginges Centre for Molecular Cardiology, Centenary Institute, Sydney, Australia Sydney Medical School, University of Sydney, Sydney, Australia Department of Cardiology, Royal Prince Alfred Hospital, Sydney, Australia
| | - Arthur A M Wilde
- Heart Centre, Department of Cardiology, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders, Jeddah, Kingdom of Saudi Arabia
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69
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Affiliation(s)
- Alfred L George
- From the Department of Pharmacology and Center for Pharmacogenomics, Northwestern University Feinberg School of Medicine, Chicago, IL.
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Roma-Rodrigues C, Fernandes AR. Genetics of hypertrophic cardiomyopathy: advances and pitfalls in molecular diagnosis and therapy. APPLICATION OF CLINICAL GENETICS 2014; 7:195-208. [PMID: 25328416 PMCID: PMC4199654 DOI: 10.2147/tacg.s49126] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Hypertrophic cardiomyopathy (HCM) is a primary disease of the cardiac muscle that occurs mainly due to mutations (>1,400 variants) in genes encoding for the cardiac sarcomere. HCM, the most common familial form of cardiomyopathy, affecting one in every 500 people in the general population, is typically inherited in an autosomal dominant pattern, and presents variable expressivity and age-related penetrance. Due to the morphological and pathological heterogeneity of the disease, the appearance and progression of symptoms is not straightforward. Most HCM patients are asymptomatic, but up to 25% develop significant symptoms, including chest pain and sudden cardiac death. Sudden cardiac death is a dramatic event, since it occurs without warning and mainly in younger people, including trained athletes. Molecular diagnosis of HCM is of the outmost importance, since it may allow detection of subjects carrying mutations on HCM-associated genes before development of clinical symptoms of HCM. However, due to the genetic heterogeneity of HCM, molecular diagnosis is difficult. Currently, there are mainly four techniques used for molecular diagnosis of HCM, including Sanger sequencing, high resolution melting, mutation detection using DNA arrays, and next-generation sequencing techniques. Application of these methods has proven successful for identification of mutations on HCM-related genes. This review summarizes the features of these technologies, highlighting their strengths and weaknesses. Furthermore, current therapeutics for HCM patients are correlated with clinically observed phenotypes and are based on the alleviation of symptoms. This is mainly due to insufficient knowledge on the mechanisms involved in the onset of HCM. Tissue engineering alongside regenerative medicine coupled with nanotherapeutics may allow fulfillment of those gaps, together with screening of novel therapeutic drugs and target delivery systems.
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Affiliation(s)
- Catarina Roma-Rodrigues
- UCIBIO, Departamento de Ciências da Vida, Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, Campus de Caparica, Caparica, Portugal
| | - Alexandra R Fernandes
- UCIBIO, Departamento de Ciências da Vida, Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, Campus de Caparica, Caparica, Portugal ; Centro de Química Estrutural, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal
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Maron BJ, Ommen SR, Semsarian C, Spirito P, Olivotto I, Maron MS. Hypertrophic cardiomyopathy: present and future, with translation into contemporary cardiovascular medicine. J Am Coll Cardiol 2014; 64:83-99. [PMID: 24998133 DOI: 10.1016/j.jacc.2014.05.003] [Citation(s) in RCA: 460] [Impact Index Per Article: 46.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2014] [Accepted: 05/05/2014] [Indexed: 12/12/2022]
Abstract
Hypertrophic cardiomyopathy (HCM) is a common inherited heart disease with diverse phenotypic and genetic expression, clinical presentation, and natural history. HCM has been recognized for 55 years, but recently substantial advances in diagnosis and treatment options have evolved, as well as increased recognition of the disease in clinical practice. Nevertheless, most genetically and clinically affected individuals probably remain undiagnosed, largely free from disease-related complications, although HCM may progress along 1 or more of its major disease pathways (i.e., arrhythmic sudden death risk; progressive heart failure [HF] due to dynamic left ventricular [LV] outflow obstruction or due to systolic dysfunction in the absence of obstruction; or atrial fibrillation with risk of stroke). Effective treatments are available for each adverse HCM complication, including implantable cardioverter-defibrillators (ICDs) for sudden death prevention, heart transplantation for end-stage failure, surgical myectomy (or selectively, alcohol septal ablation) to alleviate HF symptoms by abolishing outflow obstruction, and catheter-based procedures to control atrial fibrillation. These and other strategies have now resulted in a low disease-related mortality rate of <1%/year. Therefore, HCM has emerged from an era of misunderstanding, stigma, and pessimism, experiencing vast changes in its clinical profile, and acquiring an effective and diverse management armamentarium. These advances have changed its natural history, with prevention of sudden death and reversal of HF, thereby restoring quality of life with extended (if not normal) longevity for most patients, and transforming HCM into a contemporary treatable cardiovascular disease.
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Affiliation(s)
- Barry J Maron
- Hypertrophic Cardiomyopathy Center, Minneapolis Heart Institute Foundation, Minneapolis, Minnesota.
| | | | - Christopher Semsarian
- Royal Prince Alfred Hospital and Centenary Institute, University of Sydney, Sydney, Australia
| | | | - Iacopo Olivotto
- Referral Center for Cardiomyopathies, Careggi University Hospital, Florence, Italy
| | - Martin S Maron
- Tufts Medical Center and School of Medicine, Boston, Massachusetts
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72
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The value of cardiac genetic testing. Trends Cardiovasc Med 2014; 24:217-24. [DOI: 10.1016/j.tcm.2014.05.009] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2014] [Revised: 05/27/2014] [Accepted: 05/29/2014] [Indexed: 12/28/2022]
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Famiglietti ML, Estreicher A, Gos A, Bolleman J, Géhant S, Breuza L, Bridge A, Poux S, Redaschi N, Bougueleret L, Xenarios I. Genetic variations and diseases in UniProtKB/Swiss-Prot: the ins and outs of expert manual curation. Hum Mutat 2014; 35:927-35. [PMID: 24848695 PMCID: PMC4107114 DOI: 10.1002/humu.22594] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2014] [Accepted: 05/09/2014] [Indexed: 11/25/2022]
Abstract
During the last few years, next-generation sequencing (NGS) technologies have accelerated the detection of genetic variants resulting in the rapid discovery of new disease-associated genes. However, the wealth of variation data made available by NGS alone is not sufficient to understand the mechanisms underlying disease pathogenesis and manifestation. Multidisciplinary approaches combining sequence and clinical data with prior biological knowledge are needed to unravel the role of genetic variants in human health and disease. In this context, it is crucial that these data are linked, organized, and made readily available through reliable online resources. The Swiss-Prot section of the Universal Protein Knowledgebase (UniProtKB/Swiss-Prot) provides the scientific community with a collection of information on protein functions, interactions, biological pathways, as well as human genetic diseases and variants, all manually reviewed by experts. In this article, we present an overview of the information content of UniProtKB/Swiss-Prot to show how this knowledgebase can support researchers in the elucidation of the mechanisms leading from a molecular defect to a disease phenotype.
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Affiliation(s)
- Maria Livia Famiglietti
- Swiss-Prot Group, SIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, Geneva, Switzerland
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Ingles J, Semsarian C. Conveying a probabilistic genetic test result to families with an inherited heart disease. Heart Rhythm 2014; 11:1073-8. [DOI: 10.1016/j.hrthm.2014.03.017] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2013] [Indexed: 12/16/2022]
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