Literature DB >> 23674365

A systematic review and meta-analysis of genotype-phenotype associations in patients with hypertrophic cardiomyopathy caused by sarcomeric protein mutations.

Luís R Lopes1, M Shafiqur Rahman, Perry M Elliott.   

Abstract

BACKGROUND: The genetic basis of familial hypertrophic cardiomyopathy (HCM) is well described, but the relation between genotype and clinical phenotype is still poorly characterised.
OBJECTIVE: To summarise and critically review the current literature on genotype-phenotype associations in patients with HCM and to perform a meta-analysis on selected clinical features. DATA SOURCES: PubMed/Medline was searched up to January 2013. Retrieved articles were checked for additional publications. SELECTION CRITERIA: Observational, cross-sectional and prospectively designed English language human studies that analysed the relationship between the presence of mutations in sarcomeric protein genes and clinical parameters. DATA EXTRACTION AND ANALYSIS: The pooled analysis was confined to studies reporting on cohorts of unrelated and consecutive patients in which at least two sarcomere genes were sequenced. A random effect meta-regression model was used to determine the overall prevalence of predefined clinical features: age at presentation, gender, family history of HCM, family history of sudden cardiac death (SCD), and maximum left ventricular wall thickness (MLVWT). The I(2) statistic was used to estimate the proportion of total variability in the prevalence data attributable to the heterogeneity between studies.
RESULTS: Eighteen publications (corresponding to a total of 2459 patients) were selected for the pooled analysis. The presence of any sarcomere gene mutation was associated with a younger age at presentation (38.4 vs 46.0 years, p<0.0005), a family history of HCM (50.6% vs 23.1%, p<0.0005), a family history of SCD (27.0% vs 14.9%, p<0.0005) and greater MLVWT (21.0 vs 19.3 mm, p=0.03). There were no differences when the two most frequently affected genes, MYBPC3 and MYH7, were compared. A total of 53 family studies were also included in the review. These were characterised by pronounced variability and the majority of studies reporting on outcomes analysed small cross-sectional cohorts and were unsuitable for pooled analyses.
CONCLUSIONS: The presence of a mutation in any sarcomere gene is associated with a number of clinical features. The heterogeneous nature of the disease and the inconsistency of study design precludes the establishment of more precise genotype-phenotype relationships. Large scale studies examining the relation between genotype, disease severity, and prognosis are required.

Entities:  

Keywords:  Genetics

Mesh:

Substances:

Year:  2013        PMID: 23674365     DOI: 10.1136/heartjnl-2013-303939

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   5.994


  53 in total

1.  Hypertrophic cardiomyopathy: still connecting the dots between genotype and phenotype.

Authors:  Christine L Jellis; Milind Y Desai
Journal:  Cardiovasc Diagn Ther       Date:  2015-04

2.  Predicting gene phenotype by multi-label multi-class model based on essential functional features.

Authors:  Lei Chen; Zhandong Li; Tao Zeng; Yu-Hang Zhang; Hao Li; Tao Huang; Yu-Dong Cai
Journal:  Mol Genet Genomics       Date:  2021-04-29       Impact factor: 3.291

Review 3.  Cell biology of sarcomeric protein engineering: disease modeling and therapeutic potential.

Authors:  Brian R Thompson; Joseph M Metzger
Journal:  Anat Rec (Hoboken)       Date:  2014-09       Impact factor: 2.064

Review 4.  Inherited cardiomyopathies.

Authors:  Jeffrey A Towbin
Journal:  Circ J       Date:  2014-09-02       Impact factor: 2.993

Review 5.  Hypertrophic Cardiomyopathy: Genetics, Pathogenesis, Clinical Manifestations, Diagnosis, and Therapy.

Authors:  Ali J Marian; Eugene Braunwald
Journal:  Circ Res       Date:  2017-09-15       Impact factor: 17.367

Review 6.  Clinical outcomes associated with sarcomere mutations in hypertrophic cardiomyopathy: a meta-analysis on 7675 individuals.

Authors:  Farbod Sedaghat-Hamedani; Elham Kayvanpour; Oguz Firat Tugrul; Alan Lai; Ali Amr; Jan Haas; Tanja Proctor; Philipp Ehlermann; Katrin Jensen; Hugo A Katus; Benjamin Meder
Journal:  Clin Res Cardiol       Date:  2017-08-24       Impact factor: 5.460

7.  The Role of Calcium/Calmodulin-Dependent Protein Kinase II Activation in Hypertrophic Cardiomyopathy.

Authors:  Jil C Tardiff
Journal:  Circulation       Date:  2016-11-29       Impact factor: 29.690

Review 8.  Genetics and Genomics of Single-Gene Cardiovascular Diseases: Common Hereditary Cardiomyopathies as Prototypes of Single-Gene Disorders.

Authors:  Ali J Marian; Eva van Rooij; Robert Roberts
Journal:  J Am Coll Cardiol       Date:  2016-12-27       Impact factor: 24.094

9.  Prognostic predictive value of gene mutations in Japanese patients with hypertrophic cardiomyopathy.

Authors:  Ayako Chida; Kei Inai; Hiroki Sato; Eriko Shimada; Tsutomu Nishizawa; Mitsuyo Shimada; Michiko Furutani; Yoshiyuki Furutani; Yoichi Kawamura; Masaya Sugimoto; Jun Ishihara; Masako Fujiwara; Takashi Soga; Masatoshi Kawana; Shinya Fuji; Shigeru Tateno; Kenji Kuraishi; Shigetoyo Kogaki; Mitsuhiro Nishimura; Mamoru Ayusawa; Fukiko Ichida; Hirokuni Yamazawa; Rumiko Matsuoka; Shigeaki Nonoyama; Toshio Nakanishi
Journal:  Heart Vessels       Date:  2016-11-24       Impact factor: 2.037

Review 10.  Allelic imbalance and haploinsufficiency in MYBPC3-linked hypertrophic cardiomyopathy.

Authors:  Amelia A Glazier; Andrea Thompson; Sharlene M Day
Journal:  Pflugers Arch       Date:  2018-11-20       Impact factor: 3.657

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