Gilles Millat

Prevalence and spectrum of mutations in a cohort of 192 unrelated patients with hypertrophic cardiomyopathy

Hypertrophic Cardiomyopathy (HCM), a common and clinically heterogeneous disease characterized by unexplained ventricular myocardial hypertrophy and a high risk of sudden cardiac death, is mostly caused by mutations in sarcomeric genes but modifiers genes may also modulate the phenotypic expression of HCM mutations. The aim of the current study was to report the frequency of single and multiple gene mutations in a large French cohort of HCM patients and to evaluate the influence of polymorphisms previously suggested to be potential disease modifiers in this myocardial pathology. We report the molecular screening of 192 unrelated HCM patients using denaturing high-performance liquid chromatography/sequencing analysis of the MYBPC3, MYH7, TNNT2 and TNNI3 genes. Genotyping of 6 gene polymorphisms previously reported as putative HCM modifiers (5 RAAS polymorphisms and TNF-α -308 G/A) was also performed. Seventy-five mutations were identified in 92 index patients (48%); 32 were novel. MYBPC3 mutations (25%) represent the most prevalent cause of inherited HCM whereas MYH7 mutations (12%) rank second in the pathogenesis. The onset age was older in patients carrying MYBPC3 mutations than in those with MYH7 mutations. The MYBPC3 IVS20-2A>G splice mutation was identified in 7% of our HCM population. Multiple gene mutations were identified in 9 probands (5%), highlighting the importance of screening other HCM-causing genes even after a first mutation has been identified, particularly in young patients with a severe phenotype. No single or cumulative genetic modifier effect could be evidenced in this HCM cohort.

Molecular Genetics and Functional Anomalies in a Series of 248 Brugada Cases with 11 Mutations in the TRPM4 Channel

Brugada syndrome (BrS) is a condition defined by ST-segment alteration in right precordial leads and a risk of sudden death. Because BrS is often associated with right bundle branch block and the TRPM4 gene is involved in conduction blocks, we screened TRPM4 for anomalies in BrS cases. The DNA of 248 BrS cases with no SCN5A mutations were screened for TRPM4 mutations. Among this cohort, 20 patients had 11 TRPM4 mutations. Two mutations were previously associated with cardiac conduction blocks and 9 were new mutations (5 absent from ∼14′000 control alleles and 4 statistically more prevalent in this BrS cohort than in control alleles). In addition to Brugada, three patients had a bifascicular block and 2 had a complete right bundle branch block. Functional and biochemical studies of 4 selected mutants revealed that these mutations resulted in either a decreased expression (p.Pro779Arg and p.Lys914X) or an increased expression (p.Thr873Ile and p.Leu1075Pro) of TRPM4 channel. TRPM4 mutations account for about 6% of BrS. Consequences of these mutations are diverse on channel electrophysiological and cellular expression. Because of its effect on the resting membrane potential, reduction or increase of TRPM4 channel function may both reduce the availability of sodium channel and thus lead to BrS.

Spectrum of pathogenic mutations and associated polymorphisms in a cohort of 44 unrelated patients with long QT syndrome

Long QT syndrome (LQTS) is a rare and clinically heterogeneous inherited disorder characterized by a long QT interval on the electrocardiogram, increased risk of syncope and sudden death caused by arrhythmias. This syndrome is mostly caused by mutations in genes encoding various cardiac ion channels. The clinical heterogeneity is usually attributed to variable penetrance. One of the reasons for this variability in expression could be the coexistence of common single nucleotide polymorphisms (SNPs) on LQTS‐causing genes and/or unknown genes. Some synonymous and nonsynonymous exonic SNPs identified in LQTS‐causing genes may have an effect on the cardiac repolarization process and modulate the clinical expression of a latent LQTS pathogenic mutation. We report the molecular pattern of 44 unrelated patients with LQTS using denaturing high‐performance liquid chromatography analysis of the KCNQ1, KCNH2, SCN5A, KCNE1 and KCNE2 genes. Forty‐five disease‐causing mutations (including 24 novel ones) were identified in this cohort. Most of our patients (84%) showed complex molecular pattern with one mutation (and even two for four patients) associated with several SNPs located in several LQTS genes.

Clinical and mutational spectrum in a cohort of 105 unrelated patients with dilated cardiomyopathy

Dilated Cardiomyopathy (DCM) is one of the leading causes of heart failure with high morbidity and mortality. More than 30 genes have been reported to cause DCM. To provide new insights into the pathophysiology of dilated cardiomyopathy, a mutational screening on 4 DCM-causing genes (MYH7, TNNT2, TNNI3 and LMNA) was performed in a cohort of 105 unrelated DCM (64 familial cases and 41 sporadic cases) using a High Resolution Melting (HRM)/sequencing strategy. Screening of a highly conserved arginine/serine (RS)-rich region in exon 9 of RBM20 was also performed. Nineteen different mutations were identified in 20 index patients (19%), including 10 novels. These included 8 LMNA variants in 9 (8.6%) probands, 5 TNNT2 variants in 5 probands (4.8%), 4 MYH7 variants in 3 probands (3.8%), 1 TNNI3 variant in 1 proband (0.9%), and 1 RBM20 variant in 1 proband (0.9%). One proband was double-heterozygous. LMNA mutations represent the most prevalent genetic DCM cause. Most patients carrying LMNA mutations exhibit conduction system defects and/or cardiac arrhythmias. Our study also showed than prevalence of mutations affecting TNNI3 or the (RS)-rich region of RBM20 is lower than 1%. The discovery of novel DCM mutations is crucial for clinical management of patients and their families because pre-symptomatic diagnosis is possible and precocious intervention could prevent or ameliorate the prognosis.

Evaluation of a new NGS method based on a custom AmpliSeq library and Ion Torrent PGM sequencing for the fast detection of genetic variations in cardiomyopathies

BACKGROUND Hypertrophic and dilated cardiomyopathies are common genetic cardiac diseases. Due to large cohorts to investigate, large number of causative genes and high rate of private mutations, mutational screening must be performed using an extremely sensitive and specific detection method. METHODS NGS workflow based on a custom AmpliSeq panel was designed for sequencing most prevalent cardiomyopathy-causing genes on the Ion PGM™ Sequencer. A cohort of 75 previously studied patients was screened to evaluate this strategy in terms of sensibility, specificity, practicability and cost. In silico analysis was performed using the NextGENe® software. RESULTS Our AmpliSeq custom panel allowed us to efficiently explore 96% of targeted sequences. Using adjusted alignment settings, all genetic variants (57 substitutions, 34 indels) present in covered regions and previously detected by HRM/sequencing were readily identified except a 73-bp MYBPC3 deletion (analytical sensitivity: 98.9%). Uncovered targeted regions were further analysed by a HRM/sequencing strategy. Complete molecular investigation was performed faster and cheaper than with previously used mutation detection methods. CONCLUSION Finally, these results suggested that our new NGS approach based on Ampliseq libraries and Ion PGM sequencing is a highly efficient, fast and cheap high-throughput mutation detection method that is ready to be deployed in clinical laboratories.

Rapid, sensitive and inexpensive detection of SCN5A genetic variations by high resolution melting analysis

OBJECTIVES SCN5A mutations lead to a wide spectrum of cardiovascular disorders. Due to large cohorts to investigate and the large gene size, mutational screening must be performed using an extremely sensitive and specific scanning method. DESIGN AND METHODS High Resolution Melting (HRM) analysis was developed for SCN5A mutation detection using control DNAs and DNAs carrying previously identified gene variants. A cohort of 40 patients was further screened. To evaluate HRM sensitivity, this cohort was also screened using an optimized DHPLC methodology. RESULTS All gene variants detected by DHPLC were also readily identified as abnormal by HRM analysis. Mutations were identified for 5 patients. Complete molecular SCN5A investigation was completed two times faster and cheaper than using DHPLC strategy. CONCLUSIONS HRM analysis represents an inexpensive, highly sensitive and high-throughput method to allow identification of SCN5A gene variants. Identification of more SCN5A mutations could provide new insights into the pathophysiology of SCN5A-linked diseases syndromes.

Validation of high-resolution DNA melting analysis for mutation scanning of the LMNA gene

OBJECTIVES LMNA mutations lead to a wide spectrum of disorders now called laminopathies. Due to large cohorts to investigate, mutational screening must be performed using an extremely sensitive and specific scanning method. DESIGN AND METHODS High Resolution Melting (HRM) analysis was developed for LMNA mutation detection. A cohort of 64 patients with dilated cardiomyopathy was prospectively screened using both HRM and DHPLC methodologies. RESULTS All gene variants detected by DHPLC or by direct sequencing were also readily identified as abnormal by HRM analysis. Mutations were identified in 7 patients (approximately 11%). Complete molecular LMNA investigation was completed two times faster and cheaper than using DHPLC strategy. CONCLUSIONS HRM analysis represents an inexpensive, highly sensitive and high-throughput method to identify LMNA genetic variants. The discovery of novel LMNA mutations will provide new insights into the pathophysiology of dilated cardiomyopathy and in all other laminopathies.

A de novo Mutation of the Beta Cardiac Myosin Heavy Chain Gene in an Infantile Restrictive Cardiomyopathy

Here we report the first pediatric case of restrictive cardiomyopathy secondary to a de novo mutation in the cardiac myosin heavy chain gene MYH7. The clinical course is characterized by an early onset of disease, mild hypertrophy of the left ventricle and a very short evolution to death. Because of the location of the mutation in the hinge region between the rod part and the globular head of the myosin molecule, it is possible that restrictive cardiomyopathy resulted from an impairment of flexion/extension of myosin heads during the contraction/relaxation cycle.

Next-generation sequencing (NGS) as a fast molecular diagnosis tool for left ventricular noncompaction in an infant with compound mutations in the MYBPC3 gene

Left ventricular noncompaction (LVNC) is a clinically heterogeneous disorder characterized by a trabecular meshwork and deep intertrabecular myocardial recesses that communicate with the left ventricular cavity. LVNC is classified as a rare genetic cardiomyopathy. Molecular diagnosis is a challenge for the medical community as the condition shares morphologic features of hypertrophic and dilated cardiomyopathies. Several genetic causes of LVNC have been reported, with variable modes of inheritance, including autosomal dominant and X-linked inheritance, but relatively few responsible genes have been identified. In this report, we describe a case of a severe form of LVNC leading to death at 6 months of life. NGS sequencing using a custom design for hypertrophic cardiomyopathy panel allowed us to identify compound heterozygosity in the MYBPC3 gene (p.Lys505del, p.Pro955fs) in 3 days, confirming NGS sequencing as a fast molecular diagnosis tool. Other studies have reported neonatal presentation of cardiomyopathies associated with compound heterozygous or homozygous MYBPC3 mutations. In this family and in families in which parental truncating MYBPC3 mutations are identified, preimplantation or prenatal genetic screening should be considered as these genotypes leads to neonatal mortality and morbidity.

Development of a high resolution melting method for the detection of genetic variations in hypertrophic cardiomyopathy

BACKGROUND Hypertrophic cardiomyopathy (HCM) is the most common genetic cardiac disease affecting 1 in 500 people. Due to large cohorts to investigate, the number of disease-causing genes, the size of the 2 prevalent mutated genes, and the presence of a large spectrum of private mutations, mutational screening must be performed using an extremely sensitive and specific scanning method. METHODS High Resolution Melting (HRM) analysis was developed for prevalent HCM-causing genes (MYBPC3, MYH7, TNNT2, and TNNI3) using control DNAs and DNAs carrying previously identified gene variants. A cohort of 34 HCM patients was further blindly screened. To evaluate HRM sensitivity, this cohort was also screened using an optimized DHPLC methodology. RESULTS All gene variants detected by DHPLC were also readily identified as abnormal by HRM analysis. Mutational screening of a cohort of 34 HCM cases led to identification of 19 mutated alleles. Complete molecular investigation was completed two times faster and cheaper than using DHPLC strategy. CONCLUSIONS HRM analysis represents an inexpensive, highly sensitive and high-throughput method to allow identification of mutations in the coding sequences of prevalent HCM genes. Identification of more HCM mutations will provide new insights into genotype/phenotype relationships and will allow a better knowledge of the HCM physiopathology.