Literature DB >> 33673806

Diagnostic yield of genetic testing in a heterogeneous cohort of 1376 HCM patients.

Julie Hathaway1, Krista Heliö2, Inka Saarinen3, Jonna Tallila3, Eija H Seppälä3, Sari Tuupanen3, Hannu Turpeinen3, Tiia Kangas-Kontio3, Jennifer Schleit4, Johanna Tommiska3, Ville Kytölä3, Miko Valori3, Mikko Muona3, Johanna Sistonen3, Massimiliano Gentile3, Pertteli Salmenperä3, Samuel Myllykangas3, Jussi Paananen3, Tero-Pekka Alastalo4, Tiina Heliö2, Juha Koskenvuo3.   

Abstract

BACKGROUND: Genetic testing in hypertrophic cardiomyopathy (HCM) is a published guideline-based recommendation. The diagnostic yield of genetic testing and corresponding HCM-associated genes have been largely documented by single center studies and carefully selected patient cohorts. Our goal was to evaluate the diagnostic yield of genetic testing in a heterogeneous cohort of patients with a clinical suspicion of HCM, referred for genetic testing from multiple centers around the world.
METHODS: A retrospective review of patients with a suspected clinical diagnosis of HCM referred for genetic testing at Blueprint Genetics was undertaken. The analysis included syndromic, myopathic and metabolic etiologies. Genetic test results and variant classifications were extracted from the database. Variants classified as pathogenic (P) or likely pathogenic (LP) were considered diagnostic.
RESULTS: A total of 1376 samples were analyzed. Three hundred and sixty-nine tests were diagnostic (26.8%); 373 P or LP variants were identified. Only one copy number variant was identified. The majority of diagnostic variants involved genes encoding the sarcomere (85.0%) followed by 4.3% of diagnostic variants identified in the RASopathy genes. Two percent of diagnostic variants were in genes associated with a cardiomyopathy other than HCM or an inherited arrhythmia. Clinical variables that increased the likelihood of identifying a diagnostic variant included: an earlier age at diagnosis (p < 0.0001), a higher maximum wall thickness (MWT) (p < 0.0001), a positive family history (p < 0.0001), the absence of hypertension (p = 0.0002), and the presence of an implantable cardioverter-defibrillator (ICD) (p = 0.0004).
CONCLUSION: The diagnostic yield of genetic testing in this heterogeneous cohort of patients with a clinical suspicion of HCM is lower than what has been reported in well-characterized patient cohorts. We report the highest yield of diagnostic variants in the RASopathy genes identified in a laboratory cohort of HCM patients to date. The spectrum of genes implicated in this unselected cohort highlights the importance of pre-and post-test counseling when offering genetic testing to the broad HCM population.

Entities:  

Keywords:  Counseling; Diagnosis; Genetic testing; Hypertrophic cardiomyopathy; Next generation sequencing

Year:  2021        PMID: 33673806     DOI: 10.1186/s12872-021-01927-5

Source DB:  PubMed          Journal:  BMC Cardiovasc Disord        ISSN: 1471-2261            Impact factor:   2.298


  1 in total

1.  Comparative study of aCGH and Next Generation Sequencing (NGS) for chromosomal microdeletion and microduplication screening.

Authors:  Claudio Dello Russo; Gianluca Di Giacomo; Pietro Cignini; Francesco Padula; Lucia Mangiafico; Alvaro Mesoraca; Laura D'Emidio; Megan R McCluskey; Arianna Paganelli; Claudio Giorlandino
Journal:  J Prenat Med       Date:  2014 Apr-Jun
  1 in total
  5 in total

Review 1.  Artificial Intelligence Applied to Cardiomyopathies: Is It Time for Clinical Application?

Authors:  Kyung-Hee Kim; Joon-Myung Kwon; Tara Pereira; Zachi I Attia; Naveen L Pereira
Journal:  Curr Cardiol Rep       Date:  2022-09-01       Impact factor: 3.955

2.  The Genetic Architecture of Hypertrophic Cardiomyopathy in Hungary: Analysis of 242 Patients with a Panel of 98 Genes.

Authors:  Róbert Sepp; Lidia Hategan; Beáta Csányi; János Borbás; Annamária Tringer; Eszter Dalma Pálinkás; Viktória Nagy; Hedvig Takács; Dóra Latinovics; Noémi Nyolczas; Attila Pálinkás; Réka Faludi; Miklós Rábai; Gábor Tamás Szabó; Dániel Czuriga; László Balogh; Róbert Halmosi; Attila Borbély; Tamás Habon; Zoltán Hegedűs; István Nagy
Journal:  Diagnostics (Basel)       Date:  2022-05-03

3.  Molecular Diagnosis of Inherited Cardiac Diseases in the Era of Next-Generation Sequencing: A Single Center's Experience Over 5 Years.

Authors:  Alexandre Janin; Louis Januel; Cécile Cazeneuve; Antoine Delinière; Philippe Chevalier; Gilles Millat
Journal:  Mol Diagn Ther       Date:  2021-05-05       Impact factor: 4.074

4.  Identification and verification of IGFBP3 and YTHDC1 as biomarkers associated with immune infiltration and mitophagy in hypertrophic cardiomyopathy.

Authors:  Yao Li; Wei Zhang; Yan Dai; Keping Chen
Journal:  Front Genet       Date:  2022-10-04       Impact factor: 4.772

5.  Genetic testing in ambulatory cardiology clinics reveals high rate of findings with clinical management implications.

Authors:  David R Murdock; Eric Venner; Donna M Muzny; Ginger A Metcalf; Mullai Murugan; Trevor D Hadley; Varuna Chander; Paul S de Vries; Xiaoming Jia; Aliza Hussain; Ali M Agha; Aniko Sabo; Shoudong Li; Qingchang Meng; Jianhong Hu; Xia Tian; Michelle Cohen; Victoria Yi; Christie L Kovar; Marie-Claude Gingras; Viktoriya Korchina; Chad Howard; Daniel L Riconda; Stacey Pereira; Hadley S Smith; Zohra A Huda; Alexandria Buentello; Patricia R Marino; Lee Leiber; Ashok Balasubramanyam; Christopher I Amos; Andrew B Civitello; Mihail G Chelu; Ronald Maag; Amy L McGuire; Eric Boerwinkle; Xander H T Wehrens; Christie M Ballantyne; Richard A Gibbs
Journal:  Genet Med       Date:  2021-08-06       Impact factor: 8.864

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.