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https://doi.org/10.1136/heartjnl-2014-306387
Title: | Novel genotype-phenotype associations demonstrated by high-throughput sequencing in patients with hypertrophic cardiomyopathy | Authors: | Lopes, L.R Syrris, P Guttmann, O.P O'Mahony, C Tang, H.C Dalageorgou, C Jenkins, S Hubank, M Monserrat, L McKenna, W.J Plagnol, V Elliott, P.M |
Keywords: | adolescent adult age distribution aged ANK2 gene Article cardiovascular mortality child clinical examination controlled study family history female gene gene mutation genetic analysis genetic association genetic variability genotype phenotype correlation heart ventricle hypertrophy high throughput sequencing human hypertrophic cardiomyopathy incidence major clinical study male overall survival preschool child prevalence prospective study school child sex difference SP gene sudden cardiac death very elderly age Cardiomyopathy, Hypertrophic, Familial Death, Sudden, Cardiac dna mutational analysis England genetic association study genetic predisposition genetics Kaplan Meier method middle aged mortality mutation pedigree phenotype predictive value procedures retrospective study risk factor young adult muscle protein Adolescent Adult Age Factors Aged Aged, 80 and over Cardiomyopathy, Hypertrophic, Familial Child Death, Sudden, Cardiac DNA Mutational Analysis Female Genetic Association Studies Genetic Predisposition to Disease High-Throughput Nucleotide Sequencing Humans Kaplan-Meier Estimate London Male Middle Aged Muscle Proteins Mutation Pedigree Phenotype Predictive Value of Tests Retrospective Studies Risk Factors Young Adult |
Issue Date: | 2015 | Publisher: | BMJ Publishing Group | Citation: | Lopes, L.R, Syrris, P, Guttmann, O.P, O'Mahony, C, Tang, H.C, Dalageorgou, C, Jenkins, S, Hubank, M, Monserrat, L, McKenna, W.J, Plagnol, V, Elliott, P.M (2015). Novel genotype-phenotype associations demonstrated by high-throughput sequencing in patients with hypertrophic cardiomyopathy. Heart 101 (4) : 294-301. ScholarBank@NUS Repository. https://doi.org/10.1136/heartjnl-2014-306387 | Rights: | Attribution 4.0 International | Abstract: | Objective A predictable relation between genotype and disease expression is needed in order to use genetic testing for clinical decision-making in hypertrophic cardiomyopathy (HCM). The primary aims of this study were to examine the phenotypes associated with sarcomere protein (SP) gene mutations and test the hypothesis that variation in non-sarcomere genes modifies the phenotype. Methods Unrelated and consecutive patients were clinically evaluated and prospectively followed in a specialist clinic. High-throughput sequencing was used to analyse 41 genes implicated in inherited cardiac conditions. Variants in SP and non-SP genes were tested for associations with phenotype and survival. Results 874 patients (49.6±15.4 years, 67.8% men) were studied; likely disease-causing SP gene variants were detected in 383 (43.8%). Patients with SP variants were characterised by younger age and higher prevalence of family history of HCM, family history of sudden cardiac death, asymmetric septal hypertrophy, greater maximum LV wall thickness (all p values<0.0005) and an increased incidence of cardiovascular death (p=0.012). Similar associations were observed for individual SP genes. Patients with ANK2 variants had greater maximum wall thickness (p=0.0005). Associations at a lower level of significance were demonstrated with variation in other non-SP genes. Conclusions Patients with HCM caused by rare SP variants differ with respect to age at presentation, family history of the disease, morphology and survival from patients without SP variants. Novel associations for SP genes are reported, for the first time, we demonstrate possible influence of variation in non-SP genes associated with other forms of cardiomyopathy and arrhythmia syndromes on the clinical phenotype of HCM. | Source Title: | Heart | URI: | https://scholarbank.nus.edu.sg/handle/10635/180087 | ISSN: | 1355-6037 | DOI: | 10.1136/heartjnl-2014-306387 | Rights: | Attribution 4.0 International |
Appears in Collections: | Staff Publications Elements |
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