Abstract
Background
Variants in the cardiac myosin-binding protein C gene (MYBPC3) are a common cause of hypertrophic cardiomyopathy (HCM) in adults and have been associated with late-onset disease, but there are limited data on their role in paediatric-onset HCM. The objective of this study was to describe natural history and clinical outcomes in a large cohort of children with HCM and pathogenic/likely pathogenic (P/LP) MYBPC3 variants.
Methods and Results
Longitudinal data from 62 consecutive patients diagnosed with HCM under 18 years of age and carrying at least one P/LP MYBPC3 variant were collected from a single specialist referral centre. The primary patient outcome was a major adverse cardiac event (MACE).
Median age at diagnosis was 10 (IQR: 2-14) years, with twelve patients (19.4%) diagnosed in infancy. Forty-seven (75%) were male and 31 (50%) were probands.Median length of follow-up was 3.1 (IQR: 1.6-6.9) years. Nine patients (14.5%) experienced a MACE during follow-up and five (8%) died. Twenty patients (32.3%) had evidence of ventricular arrhythmia, including 6 patients (9.7%) presenting with out-of-hospital cardiac arrest. Five year freedom from MACE for those with a single or two MYBPC3 variants was 95.2% (95% CI: 78.6-98.5) and 68.4% (95% CI: 40.6-88.9), respectively (hazard ratio 4.65, 95% CI: 1.16-18.66, p=0.03).
Conclusions
MYBPC3 variants can cause childhood-onset disease, which is frequently associated with life-threatening ventricular arrhythmia. Clinical outcomes in this cohort vary substantially from aetiologically and genetically mixed paediatric HCM cohorts described previously, highlighting the importance of identifying specific genetic subtypes for clinical management of childhood HCM.
Keywords: Cardiomyopathy, child, sudden death, sarcomere
Introduction
Hypertrophic cardiomyopathy (HCM) is the most common genetic heart disease in adults, with a prevalence of 1 in 5001. In contrast, childhood-onset disease is rare, with estimated prevalence rates from population-based studies of ∼3 per 100,0002, 3. HCM is most commonly inherited as an autosomal dominant trait, caused by mutations in genes encoding components of the cardiac sarcomere in up to 60% of cases, even in young children4–6. Around 70% of HCM-causing variants occur in one of two genes: β-myosin heavy chain (MYH7) or myosin-binding protein C (MYBPC3)7. While substantial phenotypic heterogeneity and age-related penetrance are recognised in most sarcomeric HCM-causing gene variants, MYBPC3 variants in particular have been reported to cause relatively late-onset disease with a milder phenotype8, 9.
Previous paediatric HCM cohort studies have described aetiologically mixed patient groups, with little focus on specific genotypes10–12. Although individual case reports describe childhood onset disease and sudden cardiac death (SCD) caused by compound heterozygous or homozygous MYBPC3 variants13–19, there have been no previous studies systematically characterising MYBPC3 variants as a cause of HCM in children, particularly in heterozygosity. The aim of this study was to describe the natural history and clinical outcomes in a large cohort of consecutive children diagnosed with HCM and carrying variants in MYBPC3.
Methods
Patients
All consecutive children diagnosed with HCM under the age of 18 years with at least one variant in MYBPC3 classified as pathogenic or likely pathogenic (P/LP) at the time of testing evaluated at the Great Ormond Street Hospital Centre for Inherited Cardiovascular Diseases between 1998 and 2018 were included in this study. Diagnosis of HCM was made where left ventricular wall thickness was more than two standard deviations greater than the body surface area corrected predicted mean, not solely explained by abnormal loading conditions20. Individuals carrying a variant in MYBPC3 who did not meet diagnostic criteria for HCM (phenotype-negative mutation carriers) were excluded, since the study aim was to describe paediatric-onset disease phenotypes and outcomes, rather than paediatric carriers of MYBPC3 variants.
Clinical evaluation
All patients underwent systematic clinical evaluation at baseline and throughout follow-up, until transition to adult services at 18 years. Anonymised clinical data were collected at baseline, during 6-12 monthly follow-up and at the most recent clinical review, including: demographics; family history; symptoms; medical therapy; genetic test results; resting 12-lead electrocardiogram (ECG); 2D and Doppler echocardiogram; and, where available, cardiopulmonary exercise testing (CPET); cardiac magnetic resonance imaging (cMRI); and ambulatory ECG monitoring.
Echocardiographic measurements were made according to current guidelines21. Maximal left ventricular wall thickness (MLVWT) was defined as the greatest thickness in any single segment, measured on 2D echocardiography at end diastole in the parasternal short-axis view in 4 places at basal and mid-ventricular level (anterior and posterior septum, lateral and posterior wall) and 2 places at apical level (anterior and posterior septum), as previously described22. Left atrial diameter was measured in the parasternal long-axis view using 2D or M-Mode. Left ventricular outflow tract obstruction (LVOTO) was defined as a Doppler-derived pressure gradient >30mmHg on echocardiography20. Non-sustained ventricular tachycardia (NSVT) was defined as three or more consecutive beats with a rate faster than 120bpm, self-resolving within thirty seconds20 and recorded by either ambulatory ECG or by indwelling monitoring device.
Clinical outcomes
The primary patient outcome was a major adverse cardiac event (MACE), defined as death (SCD or heart failure-related death), cardiac transplantation, haemodynamically-compromising sustained ventricular arrhythmia or appropriate therapy from an implanted cardioverter defibrillator (ICD). ICD therapy was considered appropriate where a defibrillation shock was triggered by documented ventricular tachycardia or fibrillation, according to information stored by the device. Information relating to the clinical outcomes of patients transitioned to adult services was sourced from adult cardiology centres.
Genetic Evaluation
Genetic sequencing methods varied according to era, type of test requested (diagnostic or predictive) and individual laboratory conducting testing. Targeted testing of HCM genes was performed using direct Sanger sequencing (3-11 genes) prior to 2011. After 2011, next-generation sequencing was more widely available (21-104 gene panels). Pathogenicity of all variants was reclassified using current American College of Medical Genetics (ACMG) guidelines23. Additional variants occurring in other genes previously associated with inherited heart muscle disease were also recorded, where reported. Patients carrying more than one variant with a potential impact on cardiac phenotype were considered to have “complex” genotypes for the purpose of analysis. Genetic variants are described following the Human Genome Variation Society (HGVS) recommendations24.
Statistical Analysis
R Studio software version 1.2.1335 was used for statistical analysis of clinical data25. Z-scores were used to describe echocardiogram and cMRI measurements relative to corresponding mean values in children of the same body size26. Mean values (±SD) were calculated for continuous variables and median values with interquartile ranges (IQR) were calculated for skewed data. Normal distribution was determined using the Shapiro Wilk normality test. The Welch Two Sample t-test was used to compare the means of normally distributed numerical data and the Wilcoxon rank sum test with continuity correction for non-normally distributed numerical data, with one-way analysis of variance used to compare three groups. Pearson’s Chi-squared test with Yates’ continuity correction and Fisher’s exact test were used for comparing independent categorical variables. Survival analysis was undertaken using Kaplan Meier curves with log rank analysis and univariate Cox proportional hazard regression analysis. A p-value of <0.05 was considered statistically significant.
Ethics Approval Statement
The study was approved by the Great Ormond Street Hospital/University College London Institute of Child Health Joint Research and Development Office before data collection commenced (local reference: 18HL01/19HL04). The study was conducted using anonymised, retrospective data, and patient consent was therefore waived in line with local approval.
Results
Clinical Characteristics
Sixty-two patients from 59 families with disease-causing MYBPC3 variants were identified. Median age at diagnosis was 10 years (IQR: 2-14) (Supplemental Figure 1). Twelve patients (19.4%) were diagnosed in infancy (below 1 year of age). Forty-seven patients (75%) were male, 31 (50%) were the proband in the family and 15 (24%) had a family history of SCD. Twenty-six patients (41.9%) were diagnosed through clinical screening due to family history, 18 (29%) incidentally (following detection of a murmur, during investigation of another health condition or during cardiac screening programmes in the community), 11 (17.7%) due to symptoms, and 6 (9.7%) following presentation with an out-of-hospital cardiac arrest (OOHCA). Fifteen patients (24.2%) were diagnosed prior to 2000, 13 (21%) between 2000 and 2009, and 34 (54.8%) from 2010 onwards. Where sufficient data relating to family history were available, family history of childhood-onset HCM was identified in six families (11.5% of those with information available). In four cases these paediatric relatives presented with SCD. The baseline clinical and echocardiographic characteristics are summarised in Table 1.
Table 1. Baseline cohort characteristics.
Whole cohort (n=62) |
Two MYBPC3 variants (n=12) |
Single MYBPC3 variant plus variant(s) in other genes of interest (n=9) |
Single MYBPC3 only (n=41) |
p-values | |
---|---|---|---|---|---|
Median age at diagnosis/start of follow-up |
10 yrs (IQR: 2-14) | 9 yrs (IQR: 6-13.5) | 10 yrs (IQR: 2-12) | 10 yrs (IQR:2-14) | 0.93 |
Median age at last follow-up review |
15 yrs (IQR: 11-17) | 15.4 yrs (IQR: 10.6-17.9) | 14.5 yrs (IQR: 10.4-17.5) | 16.2 yrs (IQR: 13.4-18.3) | 0.65 |
Reported symptoms | |||||
Any symptoms | 21 (33.9%) | 4 (33.3%) | 2 (22.2%) | 15 (36.6%) | 0.85 |
Chest pain | 11 (17.7%) | 1 (8.3%) | 2 (22.2%) | 8 (19.5%) | 0.70 |
Dyspnoea | 9 (14.5%) | 2 (16.7%) | 1 (11.1%) | 6 (14.6%) | >0.999 |
Palpitations | 7 (11.3%) | 2 (16.7%) | 0 | 5 (12.2%) | 0.60 |
Medications | |||||
Any medication | 21 (33.9%) | 6 (50%) | 4 (44.4%) | 11 (26.8%) | 0.42 |
Beta-blockers | 21 (33.9%) | 6 (50%) | 4 (44.4%) | 11 (26.8%) | 0.25 |
Disopyramide | 1 (1.6%) | 0 | 0 | 1 (2.4%) | >0.999 |
Verapamil | 2 (3.2%) | 0 | 0 | 2 (4.9%) | >0.999 |
Amiodarone | 1 (1.6%) | 0 | 0 | 1 (2.4%) | >0.999 |
ACE inhibitors | 2 (3.2%) | 2 (16.7%) | 0 | 0 | 0.05 |
Baseline echocardiogram | |||||
Median MLVWT | 17.5mm (IQR: 12- 25) |
20mm (IQR: 14.5-23.5) | 17.0mm (IQR: 9-19) | 17.0mm (IQR: 11.5-25.5) | 0.95 |
Median MLVWT Z-score | 10.3 (IQR: 6.6- 16.5) |
12.8 (IQR: 11-17.8) | 9.75 (IQR: 6.9-15.2) | 9.45 (IQR: 5-16-7) | 0.29 |
Mean center atrium diameter | 31.4mm 6.8 | 29.7mm 5.2 | 29.8mm 6.5 | 32.2mm 7.2 | 0.39 |
Mean center atrium diameter Z- score |
1.1 ± 1.36 | 1.0 ± 1.0 | 1.0 ± 1.6 | 1.1 ± 1.5 | 0.9 |
Median center ventricular outflow tract gradient | 6mmHg (IQR: 5-11) | 6mmHg (IQR: 4.5-7.5) | 8mmHg (IQR: 6-8) | 7mmHg (IQR: 5-24.8) | 0.29 |
left ventricular outflow tract gradient ≥30mmHg |
7 (11.3%) | 0 | 1 (11.1%) | 6 (15%) | 0.75 |
Median lateral E/E’ ratio | 8.1 (IQR: 6.5-13.7) | 13.6 (IQR: 8.9-20.3) | 6.6 (IQR: 5-12.3) | 7.9 (IQR: 6.5-10.6) | 0.10 |
Median septal E/E’ ratio | 13.9 (IQR: 10-17.2) | 16.9 (IQR: 14.8-24.1) | 13.7 (IQR: 12.4-14) | 12.3 (IQR: 8.4-17) | 0.011 |
Lateral E/E’ ratio ≥10 | 12 (37.5%) | 5 (71.4%) | 2 (40%) | 5 (25%) | 0.035 |
Septal E/E’ ratio ≥10 | 24 (75%) | 8 (100%) | 4 (80%) | 12 (63.2%) | 0.196 |
Mean LVESD | 20.3mm ± 6.5 | 21.9mm ± 8.3 | 17.4mm ± 6.1 | 20.5mm ± 6.0 | 0.82 |
Mean LVESD Z-score | -2.1 ± 2.1 | -1.6 ± 2.6 | -2.8 ± 2.2 | -2.2 ± 1.8 | 0.55 |
Mean LVEDD | 35.8mm ± 8.0 | 34.2mm ± 8.2 | 33.1mm ± 9.3 | 36.9mm ± 7.5 | 0.23 |
Mean LVEDD Z-score | -1.8 ± 1.4 | -1.9 ± 1.8 | -1.7 ± 1.2 | -1.8 ± 1.4 | 0.76 |
P values indicate statistical comparison of all three patient groups: two MYBPC3 variants/single MYBPC3 variant plus variant(s) in other genes of interest/single MYBPC3 variant only
ACE = angiotensin-converting enzyme; LVEDD = left ventricular end-diastolic diameter; LVESD = left ventricular end-systolic diameter; MLVWT = maximal left ventricular wall thickness
Baseline cMRI and CPET data are summarised in Supplementary Table 1. Briefly, 14 patients (22.6%) underwent baseline and follow-up cMRI. At the start of follow-up, median indexed left ventricular mass was 83g/m2 (IQR: 66-119) and mean ejection fraction was 72.4±6.5%. Late gadolinium enhancement (LGE) was observed in 6 of 11 patients (54.5%) who received contrast at baseline. One additional patient without LGE at baseline developed this during follow-up. Thirty-two patients (51.6%) underwent CPET. No patients developed arrhythmia during exercise; 10 children developed ST segment depression or T-wave changes, of which nine were patients carrying more than one variant in MYBPC3. Mean peak VO2 was 33.4±10.4ml/kg/min.
Genetic testing strategy and results
All patients had undergone genetic testing which identified at least one variant in MYBPC3 (see Supplementary Table 2 for full list of variants). Forty-one patients (66.1%) underwent diagnostic genetic panel testing, one underwent whole exome sequencing and twenty patients (32.3%) underwent predictive testing for a familial variant. Fifty patients (80.6%) carried a single MYBPC3 variant and twelve patients (19.4%) carried two distinct genetic changes in MYBPC3. Nine patients (18%) with a single MYBPC3 variant were found to carry an additional genetic variant in another gene of interest: MYH7 (n=2), TNNT2 (n=2), FLNC, GLA, JUP, MYH6, ANKRD1, BRAF and MAP2K1. One patient carried two additional variants in MYH7 and ANKRD1 and one patient carried two additional variants in TNNT2 and JUP. A total of twenty-one patients (33.9%) therefore had a “complex” genetic status, carrying more than one variant with a potential impact on cardiac phenotype.
After reclassification against current ACMG criteria, 40 (64.5%) patients carried a primary MYBPC3 variant classified as pathogenic, 19 (30.6%) as likely pathogenic and 3 (4.8%) as variants of uncertain significance (VUS). Amongst the 12 patients carrying two variants in MYBPC3, the second variant was classified as pathogenic in 3, likely pathogenic in 6, and VUS in 3.
Among patients with a single MYBPC3 variant, 20 (48.8%) were missense substitution variants, 2 (4.9%) were nonsense substitution variants, 11 (26.8%) were insertions or deletions of nucleotides within the gene and the remaining 8 (19.5%) were intronic/splice-site variants. Amongst the 21 patients with complex genetic status, the breakdown of primary MYBPC3 variants was: 10 missense, 1 nonsense, 5 insertions/deletions and 5 intronic/splice-site. In the 12 patients with a second genetic variant in MYBPC3, 11 of these were missense variants and 1 was a frameshift variant. A total of 62 exonic MYBPC3 variants were identified across the cohort, with 19 (30.6%) of these in exons 16 and 17 (see Figure 1), corresponding to the C3 functional domain of the cMyBP-C protein (residues 449-539), thought to be required for flexibility of the N-terminal region and consequently important for interaction with myosin S2 or actin27.
Figure 1. Distribution of MYBPC3 exonic variants.
a histogram illustrating the location of MYBPC3 exonic variants identified within the cohort. 19 (30.6%) variants were located in exons 16 and 17, corresponding to the C3 functional domain of the cMyBP-C protein and thought to be important for interaction with myosin S2 or actin26.
Three patients carried a single MYBPC3 variant classified as a VUS under ACMG criteria, but felt by the clinical team to be likely pathogenic, based on a combination of the clinical and laboratory information available at the time. These patients were all genetic probands, diagnosed at a mean age of 4.72±6.4 years and with mean MLVWT Z-score at baseline of 13.4±8.5. In all three cases, the MYBPC3 variant segregated with affected first degree relatives and was not identified in undiagnosed family members. None of these patients experienced adverse clinical outcomes during follow-up.
Clinical outcomes
Median length of follow-up was 3.1 years (IQR: 1.6-6.9). Fifty-one patients (82%) were alive at last clinic review. Six patients (9.7%) were lost to follow-up after transition to adult services. Clinical outcomes are summarised in Table 2. Nine patients (14.5%) experienced MACE during follow-up and five (8%) died: three of these were SCDs, one was a pulseless electrical activity cardiac arrest during a catheter procedure following transplantation and one death occurred in a patient on the cardiac transplant waiting list. Whole cohort survival free from MACE is illustrated in Figure 2a. Twenty patients (32.3%) had evidence of ventricular arrhythmia [OOHCA (n=6); SCD (n=3); appropriate ICD therapy (n=5); or NSVT (n=10)]. None of the patients diagnosed during infancy experienced MACE during follow-up (Figure 2b).
Table 2. Clinical outcomes.
Outcome Category | Clinical outcomem | n | % |
---|---|---|---|
Arrhythmias | Out-of-hospital cardiac arrest | ||
10 | 16% | ||
Appropriate ICD therapy | 5 | 8% | |
Atrial arrhythmia | 4 | 6.5% | |
Procedures | ICD implantation | 23 | 37% |
Pacemaker implantation | 1 | 1.6% | |
LVAD implantation | 1 | 1.6% | |
Cardiac transplantation | 2 | 3.2% | |
Surgical relief of outflow tract obstruction | 3 | 4.8% | |
Deaths | Death during follow-up | 5 | 8% |
SCD | |||
2 | 3.2% | ||
Heart failure death | 0 | 0% | |
Patients reaching composite MACE endpoint during follow-up | 9 | 14.5% |
ICD = implantable cardioverter defibrillator; LVAD = left ventricular assist device; MACE = major adverse cardiac event; SCD = sudden cardiac death
Figure 2. Whole cohort survival free from MACE (major adverse cardiac event).
2a: Kaplan-Meier curve to show whole cohort survival free from composite MACE endpoint over the course of diagnosed follow-up.
2b: Kaplan-Meier curve to show survival free from composite MACE endpoint over the course of diagnosed follow-up for patients diagnosed in infancy versus those diagnosed in later childhood
2c: Kaplan-Meier curve to show survival free from composite MACE endpoint over the course of diagnosed follow-up for patients with a single MYBPC3 variant versus those with additional MYBPC3 variant
2d: Kaplan-Meier curve to show survival free from death or equivalent event over course of diagnosed follow-up for probands versus non-probands
Baseline echocardiographic data for patients with and without sustained ventricular arrhythmia are compared in Table 3, where sustained ventricular arrhythmia includes patients experiencing SCD, appropriate ICD therapy and OOHCA, but excludes those with only NSVT. Patients with sustained ventricular arrhythmia had significantly higher mean end-systolic diameter (27.1±5.5mm vs 18.8±5.8mm; p=0.00086), higher mean end-diastolic LV diameter (40.9±5.1mm vs 34.9±8.1mm; p=0.0072) and lower mean fractional shortening (34.2±10.8% vs 45.1±8.3%; p=0.012). These differences were also statistically significant at the end of follow up: 34.1±6.4mm vs 23.1±5.3mm (p=0.007), 45.7±6.0mm vs 39.3±6.8mm (p=0.04) and 26.7±6.8% vs 41.3±6.8% (p=0.002) respectively. None of the patients with resting LVOT at baseline or at the end of follow-up experienced sustained ventricular arrhythmia. Resting LVOTO developed between baseline and follow-up in 2 individuals.
Table 3. Comparison of baseline variables in patients with and without sustained ventricular arrhythmia.
Echocardiogram variables | Arrhythmia | No arrhythmia | p-value |
---|---|---|---|
Median MLVWT (mm) | 20.0 (IQR: 18-21.8) | 16 (IQR: 11-26) | 0.49 |
Median MLVWT Z-score | 12.3 (IQR: 9.9-13) | 12.1 (IQR: 6.4-17.5) | 0.577 |
Mean LA diameter (mm) | 33.3 ± 6.6 | 30.9 ± 6.8 | 0.39 |
Mean LA diameter Z-score | 1.4 ± 1.3 | 0.9 ± 1.4 | 0.37 |
Median LVOT (mmHg) | 8.5 (IQR: 5.8-9.5) | 6 (IQR: 5-24.8) | 0.8995 |
Median lateral E/E’ | 13.6 (IQR: 12.2-20.3) | 7.6 (IQR: 6-9.7) | 0.032 |
Median septal E/E’ | 16.9 (IQR: 15.2-18.9) | 12.5 (IQR: 8.7-16.1) | 0.12 |
Mean LVESD (mm) | 27.1 ± 5.5 | 18.9 ± 5.8 | 0.00086 |
Mean LVESD Z-score | -0.1 ± 2.0 | -2.6 ± 5.8 | 0.0062 |
Mean LVEDD (mm) | 40.9 ± 5.1 | 34.9 ± 8.1 | 0.0072 |
Mean LVEDD Z-score | -0.6 ± 1.1 | -2.0 ± 1.4 | 0.0052 |
Mean fractional shortening (%) | 34.2 ± 10.8 | 45.1 ± 8.3 | 0.012 |
Sustained ventricular arrhythmia includes all patients experiencing appropriate ICD therapy, out-of-hospital cardiac arrest or sudden cardiac death, but excludes those with only NSVT.
ICD = implantable cardioverter defibrillator; LA = left atrium; LVEDD = left ventricular end-diastolic diameter; LVESD = left ventricular end-systolic diameter; LVOT = left ventricular outflow tract; MLVWT = maximal left ventricular wall thickness; NSVT = non-sustained ventricular tachycardia
Among patients with a single MYBPC3 variant, 1 patient with a missense variant had MACE (5%), compared to 3 (14.3%) with other variant types (p=0.63). No baseline echocardiographic parameters were significantly different in patients with missense variants when compared patients with other variant types (data not shown).
Single vs complex genotypes
Eight patients (66.7%) with two MYBPC3 variants experienced ventricular arrhythmia, compared to 12 patients (24%) with a single MYBPC3 variant (p=0.013). Excluding NSVT, 6 patients (50%) with two variants experienced ventricular arrhythmia, compared to 5 patients (10%) with a single variant (p=0.005).
Nine patients (75%) with two MYBPC3 variants underwent ICD implantation compared to 14 patients (28%) with a single variant (p=0.007). Five year freedom from MACE for those with a single or two MYBPC3 variants was 95.2% (95% CI: 78.6-98.5) and 68.4% (95% CI: 40.6-88.9), respectively (hazard ratio 4.65, 95% CI: 1.16-18.66, p=0.03) (see Figure 2c). There was no statistically significant difference in MACE between patients carrying a single MYBPC3 variant (n=4; 9.8%) and those with an additional variant of interest in a different gene (n=1; 11.1%) (p>0.999). Exclusion of those individuals with a second MYBPC3 variant classified as a VUS from the two MYBPC3 variants group did not affect the findings; there was no statistically significant relationship between the pathogenicity of secondary MYBPC3 variants and likelihood of a patient experiencing a MACE during follow-up (p=0.48). Of note, among the three patients with a secondary MYBPC3 variant classified as a VUS, one presented with an OOHCA. Data regarding MYBPC3 variant phase was available for five of the patients with two MYBPC3 variants and this confirmed that the variants were carried in trans in these individuals. Familial genetic testing in the other families was either incomplete, or results were unavailable.
Probands vs non-probands
Supplemental Table 3 shows the differences between probands and non-probands. There was no significant difference between probands and non-probands in relation to survival (see Figure 2d). Five year freedom from MACE for probands and non-probands was 84.7% (95% CI: 62.2-93.5) and 94.9% (95% CI: 68.8-99.3) respectively (hazard ratio 1.03, 95% CI: 0.24-4.31, p=0.97). Eight probands (25.8%) experienced ventricular arrhythmia excluding NSVT, compared to 3 non-probands (9.7%) (p=0.18).
Discussion
To our knowledge, this study describes the largest paediatric cohort with MYBPC3-associated HCM reported to date. The principal finding is that MYBPC3 variants, even in heterozygosity, can cause HCM in young children, often with a severe and highly arrhythmogenic phenotype, in contrast to the notion that such variants are associated with late-onset disease.
MYBPC3 as a cause of childhood HCM
While early studies of HCM suggested that MYBPC3 variants were primarily associated with late-onset disease8, 9, more recent data have demonstrated significant phenotypic heterogeneity, even amongst members of the same family28–38. Our results provide further evidence for this and extend the spectrum of MYBPC3 disease, showing that HCM caused by MYBPC3 variants can present during childhood. This phenotypic heterogeneity suggests that additional genetic and epigenetic modifiers may play an important role in disease progression.
Probands were diagnosed earlier than non-probands and exhibited more severe disease phenotypes at baseline. Non-probands were primarily diagnosed through family screening while probands were more likely to be diagnosed due to symptoms. Despite this, there was no significant difference in survival or outcomes between probands and non-probands.
Our data suggest that early-onset disease is not limited to probands or to individuals with a family history of early-onset disease. Current European HCM guidelines20 recommend that routine HCM screening should commence at the age of 10 years. In the present cohort, ten patients attending for family screening reached diagnostic criteria for HCM before the age of 10. Together with previously published data22, 39, our data suggest that HCM screening should commence at an earlier age. This is reflected in the updated American HCM guidelines40, which now advocate clinical screening in children from the time that HCM is diagnosed in a family member, regardless of the child’s age.
Clinical features of paediatric MYBPC3 variant carriers
Across the cohort, significant and progressive left ventricular hypertrophy (LVH) was observed, with phenotypes characterised by non-obstructive, arrhythmic disease. In contrast, left atrial dilatation was rare and haemodynamically significant resting LVOTO was less widespread than has been described in previous adult and paediatric HCM studies 12, 41, 42.
A major finding in this study is the high proportion of patients experiencing either ICD therapy, SCD, OOHCA or non-sustained VT. This is in keeping with findings in adults31, and suggests that arrhythmia is a common phenotype in both adult and paediatric MYBPC3-related HCM, with implications for SCD prevention strategies.
Importantly, there was no significant correlation between variant type or location and clinical phenotypic severity or outcomes. This is in keeping with recent findings in 1316 individuals with HCM caused by MYBPC3 variants (including 163 diagnosed below the age of 18) from the SHaRe Registry43. Together, these data suggest that genotype-phenotype correlations in HCM are dependent on additional as yet unidentified genetic and epigenetic factors.
In keeping with previous studies of adult HCM31, 44, a distinct gender imbalance was observed in this paediatric MYBPC3 cohort. Four of the five deaths occurred in male patients, all three SCDs occurred in males and all patients presenting with OOHCA were male. The only female death occurred in a patient carrying two MYBPC3 variants.
In adults with HCM, disease penetrance appears consistently higher and diagnosis generally occurs at an earlier age in males, but female patients, once diagnosed, are more likely to develop heart failure symptoms with increased mortality44–47. Findings in the present cohort are consistent with this, suggesting that male MYBPC3 variant carriers are more likely to present during childhood. While clinical outcomes in male paediatric patients were significantly worse than in females, this may simply represent the same disease process with earlier onset in males. Further long-term studies are required to fully explore sex differences in MYPBC3 HCM. The underlying reasons for the male-female disparity in HCM remain unclear, but recent evidence implicates modifier genes on the sex chromosomes or sex hormones which may prevent or delay development of hypertrophy44, 45. Oestrogen, progesterone and androgen receptors which are present in the heart tissue may mediate sex-specific effects in the cardiovascular system, and there is evidence that oestrogen receptors play a role in the development of hypertrophy in animal models48, 49. Microvascular density has also been shown to vary between males and females and may be associated with likelihood of cardiac fibrosis and with markers of diastolic function50.
Previous studies have indicated poor outcomes, including increased risk of death or transplantation, in children diagnosed with HCM during infancy10, 12. In contrast, none of the twelve patients diagnosed during infancy in the present study experienced MACE during follow-up, and only three of these patients presented due to symptoms. This difference may be explained by the fact that previous studies have included patients presenting with underlying metabolic disease or malformation syndromes, highlighting the importance of the underlying aetiology in determining outcomes in infantile HCM.
Effect of complex genetic status
MYBPC3 variants in homozygosity or compound heterozygosity have previously been associated with very early onset and severe disease with poor clinical prognosis13, 14, 16, 18, 19, and the effect of gene dosage on disease severity in MYBPC3 HCM has been described in adult cohorts and family studies15, 17, 51–54. The findings in the present study that patients carrying a second variant in MYBPC3 were significantly more likely to experience ventricular arrhythmia than those patients carrying a single MYBPC3 variant and had significantly worse clinical outcomes are consistent with this.
Our data contrast with previous findings of severe, infant-onset disease in patients with compound heterozygous MYBPC3 variants, since all but one of the patients with a second MYBPC3 variant were diagnosed after the first year of life. This suggests that additional MYBPC3 variants can play a role in clinical disease expression and penetrance beyond infancy, most likely in addition to other genetic and epigenetic factors.
Genome-wide association studies have recently demonstrated the existence of numerous novel susceptibility loci for HCM which may play an important role in disease expression and outcomes. The presence of common genetic variation at one or more of these loci may explain the variable disease expression observed in carriers of pathogenic sarcomeric variants55. Epigenetic factors may also influence HCM phenotype development by acting on signalling cascades, membrane receptors and transcription factors, or through proteomic upstream regulators of disease pathomechanisms, post-translational gene expression regulators and histone modification56–58.
Confirmed variant pathogenicity was not always necessary for the apparent gene dosage effect to be observed, since increased risk of poor clinical outcomes was observed in patients carrying two recognised pathogenic MYBPC3 variants, as well as in those with a second MYBPC3 variant of uncertain pathogenicity. Indeed, some of the most severe phenotypes were observed in children carrying two MYBPC3 variants, with one variant having been inherited from each parent. The normal or very mild cardiac phenotypes detected in the parents of these individuals demonstrates that undetected secondary MYBPC3 variants (including VUS) may be of clinical importance as disease modifiers in some families affected by MYBPC3 HCM.
Limitations
Missing and inconsistent clinical data is a limitation of the retrospective study design. In particular, different genetic testing techniques and protocols across the different eras in this study mean that additional variants in other genes of interest may have not been detected in those patients who had only undergone Sanger sequencing. Furthermore, 20 patients underwent predictive testing for a single familial variant, which may have failed to identify additional variants of potential relevance. Data relating to variant phase in the patients carrying a second MYBPC3 variant was not available for all patients, limiting our ability to interpret the true relevance of secondary MYBPC3 variants.
Recruitment of the cohort from a single specialist referral centre may result in recruitment bias and may have skewed the cohort towards individuals with more severe and difficult-to-manage disease; however, the fact that over 50% of the cohort were referred through family screening or following an incidental finding suggests that the cohort is likely to be representative of the wider MYBPC3-related paediatric HCM population.
Conclusions
This study demonstrates that children with MYBPC3 variants can develop early-onset HCM which can be associated with life-threatening ventricular arrhythmias, in contrast to previous reports of MYBPC3 as a late-onset HCM gene. Outcomes in the present cohort varied significantly from the aetiologically and genetically mixed paediatric HCM cohorts described previously. These observations indicate the importance of distinguishing genetic subtypes of paediatric disease for clinical management and in future research.
Supplementary Material
Acknowledgments
We wish to thank the Inherited Cardiovascular Diseases Team, Great Ormond Street Hospital, London, UK for their role in the clinical management of these patients. EF wishes to acknowledge the academic support of Dr Sarah Fitzpatrick, Plymouth University, UK.
Funding
This work was partly funded by a British Heart Foundation Alliance Learning and Development Grant and by Great Ormond Street Hospital NHS Foundation Trust. EF is funded by Max’s Foundation and the Great Ormond Street Hospital Children’s Charity. GN is supported by the British Heart Foundation. JPK is supported by the British Heart Foundation, Medical Research Council Clinical Academic Partnership (CARP) award, Max’s Foundation and the Great Ormond Street Hospital Children’s Charity. LRL is funded by a Medical Research Council (MRC) Clinical Academic Research Partnership (CARP) award. This work is supported by the NIHR GOSH Biomedical Research Centre. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health.
Footnotes
Competing Interests:
There are no competing interests for any author.
Contributorship Statement:
EF, GN and JPK designed the study. EF, GN, VA, KD, MC, JPO, PS, KM, RM, HF, LRL, EC and JPK were involved in data acquisition, analysis and interpretation. EF, GN, VA, KD, MC, JPO, PS, KM, RM, HF, LRL, EC and JPK were involved in drafting, reviewing and revising of the manuscript and have approved the final version. All authors agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
Ethics Approval Statement:
The study was approved by the Great Ormond Street Hospital/University College London Institute of Child Health Joint Research and Development Office before data collection commenced (local reference: 18HL01/19HL04). The study was conducted using anonymised, retrospective data, and patient consent was therefore waived in line with local approval.
References
- 1.Maron BJ, Gardin JM, Flack JM, Gidding SS, Kurosaki TT, Bild DE. Prevalence of hypertrophic cardiomyopathy in a general population of young adults. Echocardiographic analysis of 4111 subjects in the CARDIA Study. Circulation Journal of the American Heart Association. 1995;92(4):785–789. doi: 10.1161/01.cir.92.4.785. [DOI] [PubMed] [Google Scholar]
- 2.Arola A, Jokinen E, Ruuskanen O, Saraste M, Pesonen E, Kuusela A-L, Tikanoja T, Paavilainen T, Simell O. Epidemiology of Idiopathic Cardiomyopathies in Children and Adolescents – A Nationwide Study in Finland. Am J Epidemiol. 1997;146(5):385–393. doi: 10.1093/oxfordjournals.aje.a009291. [DOI] [PubMed] [Google Scholar]
- 3.Lipshultz SE, Sleeper LA, Towbin JA, Lowe AM, Orav EJ, Cox GF, Lurie PR, McCoy KL, McDonald MA, Messere JE, Colan SD, et al. The Incidence of Pediatric Cardiomyopathy in Two Regions of the United States. The New England Journal of Medicine. 2003;348(17):1647–1655. doi: 10.1056/NEJMoa021715. [DOI] [PubMed] [Google Scholar]
- 4.Morita H, Rehm HL, Menesses A, McDonagh B, Roberts AE, Kucherlapati R, Towbin JA, Seidman JG, Seidman CE. Shared genetic causes of cardiac hypertrophy in children and adults. The New England Journal of Medicine. 2008;358(18):1899–1908. doi: 10.1056/NEJMoa075463. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Kaski JP, Syrris P, Esteban MT, Jenkins S, Pantazis A, Deanfield J, McKenna WJ, Elliott PM. Prevalence of sarcomere protein gene mutations in preadolescent children with hypertrophic cardiomyopathy. Circ Cardiovasc Genet. 2009;2(5):436–41. doi: 10.1161/CIRCGENETICS.108.821314. [DOI] [PubMed] [Google Scholar]
- 6.Lopes LR, Rahman MS, Elliott PM. A systematic review and meta-analysis of genotype-phenotype associations in patients with hypertrophic cardiomyopathy caused by sarcomeric protein mutations. Heart. 2013;99(24):1800–11. doi: 10.1136/heartjnl-2013-303939. [DOI] [PubMed] [Google Scholar]
- 7.Alcalai R, Seidman JG, Seidman CE. Genetic basis of hypertrophic cardiomyopathy: From bench to the clinics. Journal of Cardiovascular Electrophysiology. 2008;19(1):104–110. doi: 10.1111/j.1540-8167.2007.00965.x. [DOI] [PubMed] [Google Scholar]
- 8.Niimura H, Bachinski LL, Sangwatanaroj S, Watkins H, Chudley AE, McKenna W, Kristinsson A, Roberts R, Sole M, Maron BJ, Seidman JG, et al. Mutations in the gene for cardiac myosin-binding protein C and late onset familial hypertrophic cardiomyopathy. The New England Journal of Medicine. 1998;338(18):1248–1257. doi: 10.1056/NEJM199804303381802. [DOI] [PubMed] [Google Scholar]
- 9.Charron P, Dubourg O, Desnos M, Bennaceur M, Carrier L, Camproux AC, Isnard R, Hagege A, Langlard JM, Bonne G, Richard P, et al. Clinical features and prognostic implications of familial hypertrophic cardiomyopathy related to the cardiac myosin-binding protein C gene. Circulation. 1998;97:2230–2236. doi: 10.1161/01.cir.97.22.2230. [DOI] [PubMed] [Google Scholar]
- 10.Alexander PMA, Nugent AW, Daubeney PEF, Lee KJ, Sleeper LA, Schuster T, Turner C, Davis AM, Semsarian C, Colan SD, Robertson T, et al. Long-Term Outcomes of Hypertrophic Cardiomyopathy Diagnosed During Childhood: Results From a National Population-Based Study. Circulation. 2018;138(1):29–36. doi: 10.1161/CIRCULATIONAHA.117.028895. [DOI] [PubMed] [Google Scholar]
- 11.Colan SD, Lipshultz SE, Lowe AM, Sleeper LA, Messere J, Cox G, Lurie PR, Orav EJ, Towbin JA. Epidemiology and cause-specific outcome of hypertrophic cardiomyopathy in children: findings from the Pediatric Cardiomyopathy Registry. Circulation. 2007;115(6):773–81. doi: 10.1161/CIRCULATIONAHA.106.621185. [DOI] [PubMed] [Google Scholar]
- 12.Norrish G, Field E, McLeod K, Ilina M, Stuart G, Bhole V, Uzun O, Brown E, Daubeney PEF, Lota A, Linter K, et al. Clinical presentation and survival of childhood hypertrophic cardiomyopathy: a retrospective study in United Kingdom. European Heart Journal. 2018;40(12):986–993. doi: 10.1093/eurheartj/ehy798. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Lekanne Deprez RH, Muurling-Vlietman JJ, Hruda J, Baars MJ, Wijnaendts LC, Stolte-Dijkstra I, Alders M, van Hagen JM. Two cases of severe neonatal hypertrophic cardiomyopathy caused by compound heterozygous mutations in the MYBPC3 gene. J Med Genet. 2006;43(10):829–32. doi: 10.1136/jmg.2005.040329. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Marziliano N, Merlini PA, Vignati G, Orsini F, Motta V, Bandiera L, Intrieri M, Veronese S. A case of compound mutations in the MYBPC3 gene associated with biventricular hypertrophy and neonatal death. Neonatology. 2012;102(4):254–8. doi: 10.1159/000339847. [DOI] [PubMed] [Google Scholar]
- 15.Wang Y, Wang Z, Yang Q, Zou Y, Zhang H, Yan C, Feng X, Chen Y, Zhang Y, Wang J, Zhou X, et al. Autosomal recessive transmission of MYBPC3 mutation results in malignant phenotype of hypertrophic cardiomyopathy. PLoS One. 2013;8(6):e67087. doi: 10.1371/journal.pone.0067087. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Wessels MW, Herkert JC, Frohn-Mulder IM, Dalinghaus M, van den Wijngaard A, de Krijger RR, Michels M, de Coo IFM, Hoedemaekers YM, Dooijes D, et al. Compound heterozygous or homozygous truncating MYBPC3 mutations cause lethal cardiomyopathy with features of noncompaction and septal defects. Eur J Hum Genet. 2015;23(7):922–8. doi: 10.1038/ejhg.2014.211. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Zhou N, Qin S, Liu Y, Tang L, Zhao W, Pan C, Qiu Z, Wang X, Shu X. Whole-exome sequencing identifies rare compound heterozygous mutations in the MYBPC3 gene associated with severe familial hypertrophic cardiomyopathy. Eur J Med Genet. 2018;61(8):434–441. doi: 10.1016/j.ejmg.2018.03.001. [DOI] [PubMed] [Google Scholar]
- 18.Zahka K, Kalidas K, Simpson MA, Cross H, Keller BB, Galambos C, Gurtz K, Patton MA, Crosby AH. Homozygous mutation of MYBPC3 associated with severe infantile hypertrophic cardiomyopathy at high frequency among the Amish. Heart. 2008;94(10):1326–1330. doi: 10.1136/hrt.2007.127241. [DOI] [PubMed] [Google Scholar]
- 19.Xin B, Puffenberger E, Tumbush J, Bockoven JR, Wang H. Homozygosity for a novel splice site mutation in the cardiac myosin-binding protein C gene causes severe neonatal hypertrophic cardiomyopathy. Am J Med Genet A. 2007;143a(22):2662–2667. doi: 10.1002/ajmg.a.31981. [DOI] [PubMed] [Google Scholar]
- 20.Elliott PM, Anastasakis A, Borger MA, Borggrefe M, Cecchi F, Charron P, Hagege AA, Lafont A, Limongelli G, Mahrholdt H, McKenna WJ, et al. 2014 ESC Guidelines on diagnosis and management of hypertrophic cardiomyopathy: the Task Force for the Diagnosis and Management of Hypertrophic Cardiomyopathy of the European Society of Cardiology (ESC) Eur Heart J. 2014;35(39):2733–79. doi: 10.1093/eurheartj/ehu284. [DOI] [PubMed] [Google Scholar]
- 21.Lang RM, Badano LP, Mor-Avi V, Afilalo J, Armstrong A, Ernande L, Flachskampf FA, Foster E, Goldstein SA, Kuznetsova T, Lancellotti P, et al. Recommendations for Cardiac Chamber Quantification by Echocardiography in Adults: An Update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. Journal of the American Society of Echocardiography. 2015;28(1):1–39.:e14. doi: 10.1016/j.echo.2014.10.003. [DOI] [PubMed] [Google Scholar]
- 22.Norrish G, Jager J, Field E, Quinn E, Fell H, Lord E, Cicerchia MN, Ochoa JP, Cervi E, Elliott PM, Kaski JP, et al. Yield of Clinical Screening for Hypertrophic Cardiomyopathy in Child First-Degree Relatives. Circulation. 2019;140(3):184–192. doi: 10.1161/CIRCULATIONAHA.118.038846. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Richards SR, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, Grody WW, Hegde M, Lyon E, Spector E, Voelkerding K, et al. ACMG Laboratory Quality Assurance Committee. Standards and guidelines for the interpretation of sequence variants: a join consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genetics in Medicine. 2015;17(5):405–424. doi: 10.1038/gim.2015.30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Den Dunnen JT, Dalgleish R, Maglott DR, Hart RK, Greenblatt MS, McGowan-Jordan J, Roux A-F, Smith T, Antonarakis SE, Taschner PEM. HGVS Recommendations for the Description of Sequence Variants: 2016 Update. Human Mutation. 2016;37(6):564–569. doi: 10.1002/humu.22981. [DOI] [PubMed] [Google Scholar]
- 25.RStudio Team. RStudio: Integrated Development Environment for R. RStudio, PBC; Boston, MA: 2020. URL http://www.rstudio.com/ [Google Scholar]
- 26.Lopez L, Colan S, Stylianou M, Granger S, Trachtenberg F, Frommelt P, Pearson G, Camarda J, Cnota J, Cohen M, Dragulescu A, et al. Relationship of Echocardiographic Z Scores Adjusted for Body Surface Area to Age, Sex, Race, and Ethnicity: The Pediatric Heart Network Normal Echocardiogram Database. Circ Cardiovasc Imaging. 2017;10(11) doi: 10.1161/CIRCIMAGING.117.006979. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Zhang XL, De S, McIntosh LP, Paetzel M. Structural characterization of the C3 domain of cardiac myosin binding protein C and its hypertrophic cardioymopathy-related R502W mutant. Biochemistry. 2014;53(32):5332–42. doi: 10.1021/bi500784g. [DOI] [PubMed] [Google Scholar]
- 28.Erdmann J, Raible J, Maki-Abadi J, Hammann J, Wollnik B, Frantz E, Fleck E, Hetzer R, Regitz-Zagrosek V. Spectrum of clinical phenotypes and gene variants in cardiac myosin-binding protein C mutation carriers with hypertrophic cardiomyopathy. J Am Coll Cardiol. 2001;38(2):322–330. doi: 10.1016/s0735-1097(01)01387-0. [DOI] [PubMed] [Google Scholar]
- 29.Oliva-Sandoval MJ, Ruiz-Espejo F, Monserrat L, Hermida-Prieto M, Sabater M, Garcia-Molina E, Ortiz M, Rodríguez-García MI, Nuñez L, Gimeno JR, Castro-Beiras A, et al. Insights into genotype-phenotype correlation in hypertrophic cardiomyopathy Findings from 18 Spanish families with a single mutation in MYBPC3. Heart. 2010;96(24):1980–4. doi: 10.1136/hrt.2010.200402. [DOI] [PubMed] [Google Scholar]
- 30.Sabater-Molina M, Saura D, García-Molina Sáez E, González-Carrillo J, Polo L, Pérez-Sánchez I, del Carmen Olmo M, Oliva-Sandoval MJ, Barriales-Villa R, Carbonell P, Pascual-Figal D, et al. A Novel Founder Mutation in MYBPC3: Phenotypic Comparison With the Most Prevalent MYBPC3 Mutation in Spain. Rev Esp Cardiol (Engl Ed) 2017;70(2):105–114. doi: 10.1016/j.rec.2016.06.020. [DOI] [PubMed] [Google Scholar]
- 31.Page SP, Kounas S, Syrris P, Christiansen M, Frank-Hansen R, Andersen PS, Elliott PM, McKenna WJ. Cardiac myosin binding protein-C mutations in families with hypertrophic cardiomyopathy: disease expression in relation to age, gender, and long term outcome. Circ Cardiovasc Genet. 2012;5(2):156–66. doi: 10.1161/CIRCGENETICS.111.960831. [DOI] [PubMed] [Google Scholar]
- 32.Christiaans I, Birnie E, van Langen IM, van Spaendonck-Zwarts KY, van Tintelen JP, van den Berg MP, Atsma DE, Helderman-van den Enden ATJM, Pinto YM, Hermans-van Ast JF, Bonsel GJ, et al. The yield of risk stratification for sudden cardiac death in hypertrophic cardiomyopathy myosin-binding protein C gene mutation carriers: focus on predictive screening. Eur Heart J. 2010;31(7):842–8. doi: 10.1093/eurheartj/ehp539. [DOI] [PubMed] [Google Scholar]
- 33.Maron BJ, Niimura H, Casey SA, Soper MK, Wright GB, Seidman JG, Seidman CE. Development of left ventricular hypertrophy in adults with hypertrophic cardiomyopathy caused by cardiac myosin-binding protein C gene mutations. J Am Coll Cardiol. 2001;38(2):315–321. doi: 10.1016/s0735-1097(01)01386-9. [DOI] [PubMed] [Google Scholar]
- 34.van Velzen HG, Schinkel AFL, Oldenburg RA, van Slegtenhorst MA, Frohn-Mulder IME, van der Velden J, Michels M. Clinical Characteristics and Long-Term Outcome of Hypertrophic Cardiomyopathy in Individuals With a MYBPC3(Myosin-Binding Protein C) Founder Mutation. Circ Cardiovasc Genet. 2017;10(4) doi: 10.1161/CIRCGENETICS.116.001660. [DOI] [PubMed] [Google Scholar]
- 35.Adalsteinsdottir B, Teekakirikul P, Maron BJ, Burke MA, Gudbjartsson DF, Holm H, Stefansson K, DePalma SR, Mazaika E, McDonough B, Danielsen R, et al. Nationwide study on hypertrophic cardiomyopathy in Iceland: evidence of a MYBPC3 founder mutation. Circulation. 2014;130(14):1158–67. doi: 10.1161/CIRCULATIONAHA.114.011207. [DOI] [PubMed] [Google Scholar]
- 36.Calore C, De Bortoli M, Romualdi C, Lorenzon A, Angelini A, Basso C, Thiene G, Iliceto S, Rampazzo A, Melacini P. A founder MYBPC3 mutation results in HCM with a high risk of sudden death after the fourth decade of life. J Med Genet. 2015;52(5):338–47. doi: 10.1136/jmedgenet-2014-102923. [DOI] [PubMed] [Google Scholar]
- 37.Lorca R, Gómez J, Martín M, Cabanillas R, Calvo J, León V, Pascual I, Morís C, Coto E, Reguero JJR. Insights Into Hypertrophic Cardiomyopathy Evaluation Through Follow-up of a Founder Pathogenic Variant. Rev Esp Cardiol (Engl Ed) 2019;72(2):138–144. doi: 10.1016/j.rec.2018.02.009. [DOI] [PubMed] [Google Scholar]
- 38.Mattos BP, Scolari FL, Torres MA, Simon L, Freitas VC, Giugliani R, Matte Ú. Prevalence and Phenotypic Expression of Mutations in the MYH7, MYBPC3 and TNNT2 Genes in Families with Hypertrophic Cardiomyopathy in the South of Brazil: A Cross-Sectional Study. Arq Bras Cardiol. 2016;107(3):257–265. doi: 10.5935/abc.20160133. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Lafreniere-Roula M, Bolkier Y, Zahavich L, Mathew J, George K, Wilson J, Stephenson EA, Benson LN, Manlhiot C, Mital S. Family screening for hypertrophic cardiomyopathy: Is it time to change practice guidelines? Eur Heart J. 2019;40(45):3672–3681. doi: 10.1093/eurheartj/ehz396. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Ommen SR, Mital S, Burke MA, Day SM, Deswal A, Elliott P, Evanovich LL, Hung J, Joglar JA, Kantor P, Kimmelstiel C, et al. 2020 AHA/ACC Guideline for the Diagnosis and Treatment of Patients with Hypertrophic Cardiomyopathy: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. J Am Coll Cardiol. 2020;76(25):e159–e240. doi: 10.1016/j.jacc.2020.08.045. [DOI] [PubMed] [Google Scholar]
- 41.Elliott PM, Gimeno JR, Tome MT, Shah J, Ward D, Thaman R, Mogensen J, McKenna WJ. Left ventricular outflow tract obstruction and sudden death risk in patients with hypertrophic cardiomyopathy. European Heart Journal. 2006;27:1933–1941. doi: 10.1093/eurheartj/ehl041. [DOI] [PubMed] [Google Scholar]
- 42.Hickey EJ, McCrindle BW, Larsen S-H, Benson L, Manlhiot C, Caldarone CA, Van Arsdell GS, McCrindle BM, Williams WG. Hypertrophic cardiomyopathy in childhood: disease natural history, impact of obstruction, and its influence on survival. Ann Thorac Surg. 2012;93:840–848. doi: 10.1016/j.athoracsur.2011.10.032. [DOI] [PubMed] [Google Scholar]
- 43.Helms AS, Thompson AD, Glazier AA, Hafeez N, Kabani S, Rodriguez J, Yob JM, Woolcock H, Mazzarotto F, Lakdawala NK, Wittekind SG, et al. Spatial and functional distribution of MYBPC3 pathogenic variants and clinical outcomes in patients with hypertrophic cardiomyopathy. Circ Genom Precis Med. 2020;13(5):396–405. doi: 10.1161/CIRCGEN.120.002929. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Terauchi Y, Kubo T, Baba Y, Hirota T, Tanioka K, Yamasaki N, Furuno T, Kitaoka H. Gender differences in the clinical features of hypertrophic cardiomyopathy caused by cardiac myosin-binding protein C gene mutations. J Cardiol. 2015;65(5):423–8. doi: 10.1016/j.jjcc.2014.07.010. [DOI] [PubMed] [Google Scholar]
- 45.Geske JB, Ong KC, Siontis KC, Hebl VB, Ackerman MJ, Hodge DO, Miller VM, Nishimura RA, Oh JK, Schaff HV, Gersh BJ, et al. Women with hypertrophic cardiomyopathy have worse survival. Eur Heart J. 2017;38(46):3434–3440. doi: 10.1093/eurheartj/ehx527. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Lorenzini M, Anastasiou Z, O’Mahony C, Guttman OP, Gimeno JR, Monserrat L, Anastasakis A, Rapezzi C, Biagini E, Garcia-Pavia P, Limongelli G, et al. Mortality among referral patients with hypertrophic cardiomyopathy vs the general European population. JAMA Cardiology. 2020;5(1):73–80. doi: 10.1001/jamacardio.2019.4534. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Olivotto I, Maron MS, Adabag AS, Casey SA, Vargiu D, Link MS, Udelson JE, Cecchi F, Maron BJ. Gender-related differences in the clinical presentation and outcome of hypertrophic cardiomyopathy. J Am Coll Cardiol. 2005;46(3):480–7. doi: 10.1016/j.jacc.2005.04.043. [DOI] [PubMed] [Google Scholar]
- 48.Malhotra A, Buttrick P, Scheuer J. Effects of sex hormones on development of physiological and pathological cardiac hypertrophy in male and female rats. Am J Physiol. 1990;259:H866–71. doi: 10.1152/ajpheart.1990.259.3.H866. [DOI] [PubMed] [Google Scholar]
- 49.Skavdahl M, Steenbergen C, Clark J, Myers P, Demianenko T, Mao L, Rockman HA, Korach KS, Murphy E. Estrogen receptor-β mediates male-female differences in the development of pressure overload hypertrophy. Am J Physiol Heart Circ Physiol. 2005;288:H469–H476. doi: 10.1152/ajpheart.00723.2004. [DOI] [PubMed] [Google Scholar]
- 50.Nijenkamp LLAM, Bollen IAE, Niessen HWM, Dos Remedios CG, Michels M, Poggesi C, Ho CY, Kuster DWD, van der Velden J. Sex-specific cardiac remodeling in early and advanced stages of hypertrophic cardiomyopathy. PloS one. 2020;15(5):e0232427. doi: 10.1371/journal.pone.0232427. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Van Driest SL, Vasile VC, Ommen SR, Will ML, Tajik AJ, Gersh BJ, Ackerman MJ. Myosin binding protein C mutations and compound heterozygosity in hypertrophic cardiomyopathy. J Am Coll Cardiol. 2004;44(9):1903–10. doi: 10.1016/j.jacc.2004.07.045. [DOI] [PubMed] [Google Scholar]
- 52.Garcia-Castro M, Reguero JR, Alvarez V, Batalla A, Soto MI, Albaladejo V, Coto E. Hypertrophic cardiomyopathy linked to homozygosity for a new mutation in the myosin-binding protein C gene (A627V) suggests a dosage effect. Int J Cardiol. 2005;102(3):501–7. doi: 10.1016/j.ijcard.2004.05.060. [DOI] [PubMed] [Google Scholar]
- 53.Ingles J, Doolan A, Chiu C, Seidman J, Seidman C, Semsarian C. Compound and double mutations in patients with hypertrophic cardiomyopathy: implications for genetic testing and counselling. Journal of Medical Genetics. 2005;42(10):e59. doi: 10.1136/jmg.2005.033886. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Biagini E, Olivotto I, Iascone M, Parodi MI, Girolami F, Frisso G, Autore C, Limongelli G, Cecconi M, Maron BJ, Maron MS, et al. Significance of Sarcomere Gene Mutations Analysis in the End-Stage Phase of Hypertrophic Cardiomyopathy. Am J Cardiol. 2014;114(5):769–776. doi: 10.1016/j.amjcard.2014.05.065. [DOI] [PubMed] [Google Scholar]
- 55.Harper AR, Goel A, Grace C, Thomson KL, Petersen SE, Xu X, Waring A, Ormondroyd E, Kramer CM, Ho CY, Neubauer S, et al. HCMR Investigators. Common genetic variants and modifiable risk factors underpin hypertrophic cardiomyopathy susceptibility and expressivity. Nature Genetics. 2021;53:135–142. doi: 10.1038/s41588-020-00764-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Rohini A, Agrawal N, Koyani CN, Singh R. Molecular targets and regulators of cardiac hypertrophy. Pharmacological Research. 2010;61:269–280. doi: 10.1016/j.phrs.2009.11.012. [DOI] [PubMed] [Google Scholar]
- 57.Pei J, Schuldt M, Nagyova E, Gu Z, el Bouhaddani S, Yiangou L, Jansen M, Calis JJA, Dorsch LM, Snijders Blok C, van den Dungen NAM, et al. Multi-omics integration identifies key upstream regulators of pathomechanisms in hypertrophic cardiomyopathy due to truncating MYBPC3 mutations. Clin Epigenet. 2021;13(1):1–20. doi: 10.1186/s13148-021-01043-3. 61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Wolf CM. Hypertrophic cardiomyopathy: genetics and clinical perspectives. Cardiovasc Diagn Ther. 2019;9(Suppl 2):S388–S415. doi: 10.21037/cdt.2019.02.01. [DOI] [PMC free article] [PubMed] [Google Scholar]
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