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Article

Yield of Rare Variants Detected by Targeted Next-Generation Sequencing in a Cohort of Romanian Index Patients with Hypertrophic Cardiomyopathy

by
Miruna Mihaela Micheu
1,*,
Nicoleta-Monica Popa-Fotea
1,2,*,
Nicoleta Oprescu
1,
Stefan Bogdan
1,2,
Monica Dan
1,
Alexandru Deaconu
1,2,
Lucian Dorobantu
1,3,
Oana Gheorghe-Fronea
1,2,
Maria Greavu
3,
Corneliu Iorgulescu
1,
Alexandru Scafa-Udriste
1,2,
Razvan Ticulescu
3,
Radu Gabriel Vatasescu
1,2 and
Maria Dorobanțu
1,2
1
Department of Cardiology, Clinical Emergency Hospital of Bucharest, Calea Floreasca 8, 014461 Bucharest, Romania
2
Department 4-Cardiothoracic Pathology, University of Medicine and Pharmacy Carol Davila, Eroii Sanitari Bvd. 8, 050474 Bucharest, Romania
3
Monza Hospital, Tony Bulandra Street, No. 27, 021967 Bucharest, Romania
*
Authors to whom correspondence should be addressed.
Submission received: 12 November 2020 / Revised: 4 December 2020 / Accepted: 6 December 2020 / Published: 7 December 2020
(This article belongs to the Section Pathology and Molecular Diagnostics)

Abstract

:
Background: The aim of this study was to explore the rare variants in a cohort of Romanian index cases with hypertrophic cardiomyopathy (HCM). Methods: Forty-five unrelated probands with HCM were screened by targeted next generation sequencing (NGS) of 47 core and emerging genes connected with HCM. Results: We identified 95 variants with allele frequency < 0.1% in population databases. MYBPC3 and TTN had the largest number of rare variants (17 variants each). A definite genetic etiology was found in 6 probands (13.3%), while inconclusive results due to either known or novel variants were established in 31 cases (68.9%). All disease-causing variants were detected in sarcomeric genes (MYBPC3 and MYH7 with two cases each, and one case in TNNI3 and TPM1 respectively). Multiple variants were detected in 27 subjects (60%), but no proband carried more than one causal variant. Of note, almost half of the rare variants were novel. Conclusions: Herein we reported for the first time the rare variants identified in core and putative genes associated with HCM in a cohort of Romanian unrelated adult patients. The clinical significance of most detected variants is yet to be established, additional studies based on segregation analysis being required for definite classification.

1. Introduction

Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiac illness, affecting at least 1 in 500 individuals in the general population [1,2]. It is defined by the presence of left ventricular hypertrophy (LVH) not solely explained by abnormal loading conditions [3].
Due to numerous genetic and non-genetic modifiers yet to be deciphered, clinical expression and outcomes are particularly diverse, varying from asymptomatic to severe forms or even sudden cardiac death [4]. The genetic basis is complex, mainly involving variation in sarcomeric genes, but mutation in other genes can cause mimicking pathologies with isolated HCM or with complex phenotypes comprising LVH [5]. The main causative genes are cardiac myosin binding protein C (MYBPC3) and β-myosin heavy chain (MYH7); together they are accountable for approximatively half of all HCM cases and for at least 75% of genotype-positive probands [6]. Amongst 57 candidate genes recently curated, these 2 genes along with other 6 (listed in bold letters in Table 1) have been designated as having definitive evidence for HCM and therefore should be part of clinical genetic testing [7,8].
Increased use of high-throughput sequencing techniques together with comprehensive gene panels led to detection of novel disease-causing variants, but mainly increased the detection of variants of uncertain significance (VUS) which are difficult to interpret, particularly in case of “private” mutations unique to a single family.
Notably, the underlying etiology may vary across different populations, precisely the probability of obtaining a positive result is influenced by the existence of preceding studies in the respective population [9]. Compared to large statistics concerning the spectrum of HCM variants in Western and Northern Europe [10,11,12,13], information about the genetic basis of HCM in Romanian adult population is limited; hence, we aimed to investigate the HCM-related rare variants in a cohort of Romanian index cases.

2. Materials and Methods

2.1. Study Population

The study was approved by the Ethics Committee of the Clinical Emergency Hospital of Bucharest, and performed in compliance with the principles of the Declaration of Helsinki. Before enrolment, written informed consent was obtained from all subjects. The study population comprised 45 unrelated HCM probands referred to our center for standard medical care and/or genetic testing between 2017 and 2020. HCM was diagnosed according to criteria issued by European Society of Cardiology (ESC), namely increased left ventricular (LV) wall thickness (≥15 mm in adults) not solely explained by abnormal loading conditions [5]. All patients underwent comprehensive clinical work-up, including personal and family medical history, physical examination, 12-lead electrocardiogram, two-dimensional transthoracic echocardiography, and genetic testing.

2.2. Genetic Testing

The genetic testing methodology has been previously reported [14]. Briefly, blood samples were collected at enrolment and total DNA was isolated using MagCore Genomic DNA Whole Blood Kit (RBC Bioscience) following the manufacturer’s protocol, and subsequently being quantified using Qubit dsDNA HS assay kit (Life Technologies). Targeted next generation sequencing (NGS) was performed on an Illumina MiSeq platform using TruSight Cardio Sequencing Kit (Illumina) according to manufacturer’s instructions. An initial amount of 50 ng of genomic DNA was used for optimal gene enrichment.

2.3. Variant Assessment

Data files yielded during sequencing runs were processed by MiSeq Reporter software (Illumina) to generate FASTQ files, and to perform the mapping of reads against the reference human genome (GRCh37) using Burrows–Wheeler Aligner-Maximal Exact Match (BWA-MEM) algorithm [15]. Following alignment, variant calling was done with Genome Analysis Toolkit (GATK) and Variant Call Format (VCF) files were produced as output. VCF files were analyzed with VariantStudio v3.0 software (Illumina).
The following filters were used to select the candidate variants for further analysis: include list of 47 genes associated with HCM (Table 1), protein-coding variants, high quality calling (PASS filter), allele frequency (AF) < 0.1% in population databases. The cut-off of 0.1% was chosen considering the disease prevalence in general population (1 in 500 individuals or 1/1000 chromosomes) [1].
Sequence variants passing the aforesaid filters were analyzed individually and were further reported using Human Genome Variation Society standardized nomenclature [16]. Interpretation of clinical significance followed the joint consensus recommendations of American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP), taking into account evidences such as allele frequency in control populations and predicted effect on the resultant protein [17]. Variant frequency was determined using the allele frequency estimates from the 1000 genomes project (GRCh37 reference assembly) and gnomAD (v2.1.1 dataset aligned against the GRCh37 reference) (accessed on August 2020); AF was retrieved from total population frequencies, including controls within gnomAD v2.1.1. For prediction of functional consequence of missense variants four freely available online in silico tools were used: Sorting Tolerant from Intolerant (SIFT), Protein variation effect analyzer (Provean), PolyPhen-2, and Mutation Taster. The disease-causing potential of stop-gain and stop-loss variants, splicing variants, frameshift, and in-frame insertions and deletions was estimated with Mutation Taster. Accordingly, a five-tier system was used to classify the variants into one of the categories: benign (B), likely benign (LB), variant of uncertain significance (VUS), likely pathogenic (LP), or pathogenic (P).
Each variant was subsequently cross-referenced with its classification provided by publicly accessible databases: the NCBI ClinVar database and the Human Gene Mutation Database (HGMD) (accessed on August 2020). In addition, all novel detected variants (irrespective of in silico prediction) were examined using VarSome [18]—a human genomic variant search engine (accessed on November 2020), and classified accordingly.

2.4. Variant Databases and In Silico Tools

We accessed the following variant databases: 1000 Genomes Project (https://www.internationalgenome.org/1000-genomes-browsers), the Exome Variant Server from the NHLBI Exome Sequencing Project (ESP) (https://esp.gs.washington.edu/EVS/), NCBI dbSNP (http://0-www-ncbi-nlm-nih-gov.brum.beds.ac.uk/SNP/), Genome Aggregation Database (gnomAD; http://gnomad.broadinstitute.org), ClinVar (https://0-www-ncbi-nlm-nih-gov.brum.beds.ac.uk/clinvar/), Human Genome Mutation Database (5-day trial license HGMD Professional 2020.2; http://www.biobase-international.com/), VarSome (https://varsome.com/).
In silico tools used in this study were as it follows: SIFT (https://sift.bii.a-star.edu.sg/), PolyPhen-2 (http://genetics.bwh.harvard.edu/pph2/), Provean (http://provean.jcvi.org), and MutationTaster (http://www.mutationtaster.org/).

2.5. Statistical Analysis

Data were analyzed using SPSS Statistics (version 23.0); results were presented as mean ± standard deviation for continuous variables and n (%) for categorical variables.

3. Results

3.1. Study Population

Forty-five unrelated index patients (33 men and 12 women) with HCM were studied. The mean age at enrolment was 51 years (SD 15.5, range 21 to 87 years). When dividing the HCM cohort into positive, considering those with a definite genetic etiology, and negative, those without definitive genetic results, the mean age in the positive group was significantly lower, 34 ± 10.3 years (range 21 to 48), compared with the negative one, 53 ± 14.7 years (range 25 to 87), p = 0.04. Except of the age difference between the two group, no other statistically significant differences were found in the clinical presentation or general characteristics of HCM cohort. Maximal LV wall thickness was 20.8 ± 5.2 mm (range 15 to 38 mm) in the overall cohort, with no differences between those with or without definitive genetic diagnosis, and moreover, no differences were found in various echocardiographic parameters (Table 2).

3.2. Genes and Variants

Of the 174 genes covered by TruSight Cardio Sequencing Kit, only 47 genes were considered in this analysis, including the 8 core sarcomeric genes robustly associated with HCM (ACTC1, MYBPC3, MYH7, MYL2, MYL3, TNNI3, TNNT2, TPM1). Additionally, non-sarcomeric genes reported to be connected with isolated HCM or with complex phenotypes comprising LVH, were studied. The complete list of analyzed genes is depicted in Table 1.
After filtering, a total of 95 distinct rare variants in 33 genes were found in 37 of 45 probands, providing an average of 2 variants per index case (Figure 1 and Table 3, Table 4 and Table 5). All variants were identified in heterozygosis. The mean depth of sequence coverage across target regions was 202x (ranged from 25 to 741). The MYBPC3 and TTN genes had the largest number of rare variants (17 variants each), followed by MYH7 (9 variants). Altogether, there were 65 missense variants (68%), 3 in-frame indels (3%), 3 stop-gained variants (3%), 1 frameshift variant (1%), 1 splice-site variant (1%), the remaining 22 variants (23%) being synonymous (Table 3). All 95 rare variants were identified only once in our database except 5 variants (MAP2K1 c.315C>T, MYBPC3 c.1957_1962delGGCCGC, MYBPC3 c.1965A>G, MYBPC3 c.1967C>T, MYBPC3 c.3413G>C,), which were detected twice.
Among all variants, 43 (45%) were not previously published nor reported in online variant databases. Molecular consequences at the sequence level of novel variants are enumerated in Table 4.
As for the already reported variants (n = 52.55%), 6 of these were classified as pathogenic/likely pathogenic, 14 were variant of uncertain significance, and 11 were benign/likely benign according to the ClinVar archive; 8 variants had conflicting interpretations of pathogenicity (CON), either VUS + LP (2 cases) or VUS + LB/B (6 cases). For 13 rare variants, the ClinVar classification was not available. The positive tests were due to P/LP variants in the MYBPC3 and MYH7 genes (2 cases each), TNNI3 and TPM1 accounting for the remaining 2 cases (Table 5, P/LP variants represented in bold letters).
Multiple variants were detected in 27 (60%) patients, with a maximum of 11 variants in a single subject. No proband had more than one LP/P variant.

4. Discussion

In this study, we explored the genetic basis of a small cohort of Romanian adult index patients with HCM. The general characteristics of our study cohort were similar with data reported by Romanian Registry of Hypertrophic Cardiomyopathy [19], with an average age at enrolment falling in the fifth decade of life, and with male predominance.
In a nutshell, the main findings of our research comprised detection of 95 different rare variants in 33 genes of the 47 genes studied. MYBPC3 and TTN showed the greatest sequence variation. The extensive variation of TTN could have been predicted seen the size of the protein and the numerous alternative splicing the gene undergoes to encode various isoforms. Targeted sequencing revealed a definite genetic etiology (P or LP variant) in 6 subjects (13.3%) and a possible etiology due to known variations (either VUS or CON variants favoring pathogenicity) in an additional 35.6% (n = 16). All P/LP variants were found in genes encoding sarcomere proteins. Almost half of the rare variants spotted were novel.
In our study, the detection rate of LP/P variants was lower than data specified by prior studies [20]. There are several valid explanations of this phenomenon. First, more stringent criteria for variant classification have been applied lately, including segregation and/or population data as recommended by ACMG [17]. Hence, irrespective of the geographic region of origin, yield of positive genetic testing progressively declined with time, from 57.7% before 2000 to 38.4% after 2010, as shown in an analysis from a large international registry [21].
The first large-scale systematic screening of genes for causal mutations for HCM revealed disease-causing variants in 63% of unrelated index cases with familial or sporadic disease. Similar detection rates (64%) were obtained by Lopes and colleagues who used high-throughput sequencing of 41 genes in 223 unrelated patients with HCM [10]. High prevalence of pathogenic mutations (67%) was also evidenced in a nationwide study on 141 Icelandic patients with clinical diagnosis of HCM [11], while in more recent studies P/LP variants were found within 21.4% to 38% of cases [12,13,22,23,24]. Secondly, increased referral for genetic testing have been prompted lately, including cases with less severe phenotypes and/or less conclusive diagnosis [22,25].
Thirdly, there is only scarce data regarding the genetic basis of HCM in Romanian population, the limited available data being related mainly to phenocopies [26,27,28,29].
Forty-five percentage of rare variants identified in our study were novel, and all (except MYBPC3 c.1965A>G and MYBPC3 c.1957_1962delGGCCGC) were “private”, each found only once in our cohort. Some of them might be eventually proven to be disease-causing, but definitive classification is challenging and the timeline may be indeterminate, requiring additional studies based on informative segregation analysis of comprehensive pedigrees. The proportion of novel variants in our cohort is comparable with literature data indicating a burden of 35–40% owed to newly noticed mutations, half being unique for a family [22].
As for genes harboring LP/P mutations, our data is consistent with extensive prior findings showing that the most frequent causative variants were detected in core sarcomeric genes, predominantly MYBPC3 and MYH7 which together explain approximately half of the cases of familial HCM [30,31,32].
Sixteen probands (35.6%) in our cohort carried a known VUS or CON variant (VUS/LP) without another likely causal variant, a higher rate than recently published by a Finnish group [12]. Five subjects (11%) harbored previously reported variants for which ClinVar classification was not available (with or without one or more novel variants), while another 5 patients had only novel variants. Altogether, these inconclusive results accounted for 68.9% of total cases, consistently with published data showing inconclusive or negative test results in 40 to 60% of screened subjects [20,33,34,35,36].
For the remaining 8 patients (17.8%) from our cohort, no variant (P/LP, VUS, CON or novel) was detected in any of the genes tested, indicating that additional studies might be needed in order to elucidate the underlying molecular substratum.
The failure to identify rare Mendelian variants in a substantial proportion of HCM patients suggests that more complex etiologies are likely to underlie this illness [37]. Recently, several hypotheses addressed this topic.
  • HCM caused by rare variants in unknown genes for HCM. In the quest to identify putative causative variants outside of recognized HCM genes, various groups used extended next-generation sequencing gene panels or even whole exome/genome sequencing (WES/WGS) as a first/second-line genetic test. In a Dutch study including 453 HCM patients, the sensitivity of genetic testing only slightly improved with the increasing number of genes sequenced, but prompted primarily the yield of class 3 variants (49%) [13]. Likewise, considerable increased detection of VUS (99%) was reported by Thomson and colleagues after examining 51 genes in 240 sarcomere gene negative HCM individuals and 6229 controls, with negligible incremental diagnostic yield [38]. In light of aforementioned findings, one can assert that expanded gene panels appear to offer limited additional sensitivity, most of genes within diagnostic tests lacking robust evidence of disease association [7,35].
  • HCM caused by rare variants in regulatory non-coding regions of already recognized causal genes. In a paper published in 2018 by Bagnall and colleagues, it has been demonstrated that variation within deep intronic regions of MYBPC3 can explain up to 9% of gene-elusive HCM cases [39].
  • HCM caused by rare variants in mitochondrial DNA (mtDNA). Although rare or even private mtDNA mutations are frequently encountered in HCM patients [40], only rarely they are directly associated with the disease [38], more often acting as disease modifiers rather than cause [41].
  • Non-Mendelian HCM. A growing body of evidence indicates that genotype-negative HCM cases are most likely to represent non-Mendelian forms of disease, with less severe prognosis and lower risk to relatives [42]. The ability to accurately identify and characterize such candidate variants is encumbered by the necessity to perform genome-wide association studies in large cohorts assessing both variant frequency in the population and phenotypic effect size in patients [37].
In line with evidence reported by Burns and colleagues [23], no proband had multiple LP/P variants, but various combinations of LP/P and VUS or VUS/VUS with or without novel detected variants, implying that the actual incidence of multiple LP/P carriers in HCM might be lower than stated in early studies [32,43,44,45,46]. Indeed, in a study comprising 1411 unrelated index cases, after rigorous variant curation according to current guidelines, the prevalence of multiple LP/P mutations diminished substantially (from 9 to 0.4%).

Strengths and Limitations of the Study

Our study benefits from the following strong points:
  • Use of a comprehensive panel including 47 genes associated with HCM.
  • Screening for the first time of a cohort of Romanian index cases.
The study is encumbered by reduced number of enrolled patients.
Future perspectives:
  • Validation of the identified variants through Sanger sequencing.
  • Expanding the study cohort.
  • Performing segregation analyses both for known and novel variants.
  • Conducting functional studies for novel detected variants.
  • Checking for rare variants in the remaining genes of the TruSight Cardio Sequencing panel.

5. Conclusions

To our knowledge, this is the first study exploring an extensive panel of HCM-related genes in a cohort of Romanian index patients. All disease-causing variants were detected in four genes encoding sarcomere proteins. The clinical significance of most detected variants is yet to be established, additional studies based on segregation analysis being required for a definite classification.

Author Contributions

Conceptualization, M.M.M., N.-M.P.-F., N.O., and M.D. (Maria Dorobantu); data curation, M.M.M. and N.-M.P.-F.; formal analysis, M.M.M. and N.-M.P.-F.; funding acquisition, M.M.M., N.-M.P.-F., and M.D. (Maria Dorobantu); investigation, M.M.M., N.-M.P.-F., N.O., S.B., M.D. (Monica Dan), A.D., L.D., O.G.-F., M.G., C.I., A.S.-U., R.T., and R.G.V.; methodology, M.M.M. and N.-M.P.-F.; project administration, M.M.M. and M.D. (Maria Dorobantu); resources, N.O.; supervision, M.M.M. and M.D. (Maria Dorobantu); validation, M.M.M. and. N.-M.P.-F.; visualization, M.M.M., N.-M.P.-F., S.B., A.D., L.D., O.G.-F., M.G., C.I., A.S.-U., R.T., R.G.V., and M.D. (Maria Dorobantu); writing—original draft, M.M.M.; writing—review and editing, M.M.M., N.-M.P.-F., N.O., S.B., M.D. (Monica Dan), A.D., L.D., O.G.-F., M.G., C.I., A.S.-U., R.T., R.G.V., and M.D. (Maria Dorobantu). All authors have read and agreed to the published version of the manuscript.

Acknowledgments

This work was supported by CREDO Project-ID: 49182, financed through the SOP IEC-SOP IEC–A2-0.2.2.1-2013-1 co-financed by the ERDF and Deutscher Akademischer Austauschdienst, ST 21-Stipendienprogramme Ostmitteleuropa, Südosteuropa, Türkei, Scholarship Programmes East Central Europe, South East Europe, Turkey.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

ACMGAmerican College of Medical Genetics and Genomics
ACTA1Actin alpha skeletal muscle
ACTC1Actin alpha cardiac muscle 1
ACTN2Actinin alpha 2
ANKRD1Ankyrin repeat domain-containing protein 1
AMPAssociation for Molecular Pathology
Bbenign
BRAFSerine/threonine-protein kinase B-raf
BWA-MEMBurrows-Wheeler Aligner-Maximal Exact Match
CALR3Calreticulin 3
CASQ2Calsequestrin 2
CAV3Caveolin-3
COX15Cytochrome c oxidase assembly protein COX15 homolog
CRYABAlpha-crystallin B chain
CSRP3Cysteine and glycine-rich protein 3
DESDesmin
DNAdeoxyribonucleic acid
ESCEuropean Society of Cardiology
FHL1Four and a half LIM domains protein 1
FXNFrataxin
GAALysosomal alpha-glucosidase
GATKGenome Analysis Toolkit
GLAAlpha-galactosidase A
HCMhypertrophic cardiomyopathy
HGMDHuman Gene Mutation Database
JPH2Junctophilin-2
KLF10Krueppel-like factor 10
LAMP2Lysosome-associated membrane glycoprotein 2
LBlikely benign
LDB3LIM domain-binding protein 3
LPlikely pathogenic
LVleft ventricle
LVHleft ventricular hypertrophy
MAP2K1Dual specificity mitogen-activated protein kinase kinase 1
MAP2K2Dual specificity mitogen-activated protein kinase kinase 2
mtDNAmitochondrial DNA
MYBPC3cardiac myosin binding protein C
MYH6Myosin heavy chain 6
MYH7β-myosin heavy chain
MYL2Myosin regulatory light chain 2
MYL3Myosin light chain 3
MYLK2Myosin light chain kinase 2
MYO6Myosin-VI
MYOZ2Myozenin-2
MYPNMyopalladin
NEXNNexilin
NGSnext generation sequencing
Ppathogenic
PDLIM3PDZ and LIM domain protein 3
PLNCardiac phospholamban
PRKAG25′-AMP-activated protein kinase subunit gamma-2
PTPN11Tyrosine-protein phosphatase non-receptor type 11
RAF1RAF proto-oncogene serine/threonine-protein kinase
SLC25A4ADP/ATP translocase 1
SOS1Son of sevenless homolog 1
TCAPTelethonin
TNNCTroponin C
TNNI3Troponin I
TNNT2Troponin T
TPM1Tropomyosin alpha-1 chain
TRIM63E3 ubiquitin-protein ligase TRIM63
TTNTitin
VCFvariant call format
VCLvinculin
VUSvariant of uncertain significance

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Figure 1. Percentage distribution of rare variants (AF < 0.001) and detection rates. (A). Type and distribution of variants according to ClinVar classification; novel variants refers to sequence variants not previously published nor reported in online variant databases; mutations within all the others groups were previously published or reported in specific databases. (B). Results of genetic testing within the entire HCM cohort broken down by category. Positive: all cases with a variant classified as LP/P by ClinVar; negative: no rare variant identified or only B/LB variants according to ClinVar; inconclusive: cases with one (or combination) of the following type of variants: variants categorized as VUS, variants for which conflicting interpretations of pathogenicity exists (either VUS/LP or VUS/B/LB), variants without ClinVar classification, and all novel variants irrespective of VarSome classification. AF allele frequency; B benign; CON variant with conflicting interpretations of pathogenicity; LB likely benign; LP likely pathogenic; NA data not available; P pathogenic; VUS variant of uncertain significance.
Figure 1. Percentage distribution of rare variants (AF < 0.001) and detection rates. (A). Type and distribution of variants according to ClinVar classification; novel variants refers to sequence variants not previously published nor reported in online variant databases; mutations within all the others groups were previously published or reported in specific databases. (B). Results of genetic testing within the entire HCM cohort broken down by category. Positive: all cases with a variant classified as LP/P by ClinVar; negative: no rare variant identified or only B/LB variants according to ClinVar; inconclusive: cases with one (or combination) of the following type of variants: variants categorized as VUS, variants for which conflicting interpretations of pathogenicity exists (either VUS/LP or VUS/B/LB), variants without ClinVar classification, and all novel variants irrespective of VarSome classification. AF allele frequency; B benign; CON variant with conflicting interpretations of pathogenicity; LB likely benign; LP likely pathogenic; NA data not available; P pathogenic; VUS variant of uncertain significance.
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Table 1. List of the 47 genes analyzed in our study and the number of rare variants (AF < 0.001) identified per gene (core sarcomeric genes are represented in bold letters).
Table 1. List of the 47 genes analyzed in our study and the number of rare variants (AF < 0.001) identified per gene (core sarcomeric genes are represented in bold letters).
GeneChromosomeEncoding ProteinNumber of Rare Variants Identified
ACTA11Actin alpha skeletal muscle1
ACTC115Actin alpha cardiac muscle 10
ACTN21Actinin alpha 23
ANKRD110Ankyrin repeat domain-containing protein 12
BRAF7Serine/threonine-protein kinase B-raf1
CALR319Calreticulin 31
CASQ21Calsequestrin 20
CAV33Caveolin-31
COX1510Cytochrome c oxidase assembly protein COX15 homolog0
CRYAB11Alpha-crystallin B chain0
CSRP311Cysteine and glycine-rich protein 31
DES2Desmin4
FHL1XFour and a half LIM domains protein 10
FXN9Frataxin0
GAA17Lysosomal alpha-glucosidase3
GLAXAlpha-galactosidase A0
JPH220Junctophilin-22
KLF108Krueppel-like factor 102
LAMP2XLysosome-associated membrane glycoprotein 21
LDB310LIM domain-binding protein 35
MAP2K115Dual specificity mitogen-activated protein kinase kinase 11
MAP2K219Dual specificity mitogen-activated protein kinase kinase 20
MYBPC311Myosin-binding protein C, cardiac-type17
MYH614Myosin heavy chain 63
MYH714Myosin heavy chain 79
MYL212Myosin regulatory light chain 21
MYL33Myosin light chain 30
MYLK220Myosin light chain kinase 21
MYO66Myosin-VI1
MYOZ24Myozenin-21
MYPN10Myopalladin1
NEXN1Nexilin1
PDLIM34PDZ and LIM domain protein 31
PLN6Cardiac phospholamban0
PRKAG275′-AMP-activated protein kinase subunit gamma-22
PTPN1112Tyrosine-protein phosphatase non-receptor type 110
RAF13RAF proto-oncogene serine/threonine-protein kinase0
SLC25A44ADP/ATP translocase 10
SOS12Son of sevenless homolog 12
TCAP17Telethonin1
TNNC13Troponin C0
TNNI319Troponin I1
TNNT21Troponin T4
TPM115Tropomyosin alpha-1 chain2
TRIM631E3 ubiquitin-protein ligase TRIM631
TTN2Titin17
VCL10Vinculin1
AF allele frequency.
Table 2. General and echocardiographic characteristics of HCM subjects with (G+) or without (G−) definitive genetic results.
Table 2. General and echocardiographic characteristics of HCM subjects with (G+) or without (G−) definitive genetic results.
VariableG+ (n = 6)G− (n = 39)p
Age at inclusion, years34 ± 10.353 ± 14.70.04
Sex: male, n (%)6 (100%)27 (69.2%)0.31
Family history of HCM, n (%)2 (33.3%)5 (12.82%)0.06
Family history of SCD, n (%)4 (66.7%)10 (25.6%)0.065
ICD, n (%)1 (16.7%)6 (15.4%)0.68
Atrial fibrillation, n (%)5 (83.33%)17 (43.6%)0.35
Echocardiographic data
Maron classification, n (%)
12 (33.3%)5 (17.9%)0.56
21 (16.7%)4 (10.3%)
33 (50%)29 (69.2%)
401 (2.6%)
Presence of LVOTO, n (%)1 (16.7%)19 (48.7%)0.29
LV maximal wall thickness, mm18.83 ± 7.2820.97 ± 4.880.36
LV mass, g262.4 ± 113.7275.45 ± 960.53
LVEDD, mm46.2 ± 939.9 ± 7.170.13
LVESD, mm26 ± 7.2924 ± 10.80.66
LVEDV, ml106.85 ± 37.33121.6 ± 44.220.43
LVESV, ml50.96 ± 26.8255.4 ± 21.30.64
LVEF, (%)58.52 ± 19.956.6 ± 13.360.76
LAD, mm39.8 ± 5.4940.74 ± 70.77
LAV, ml117.8 ± 68.1883.19 ± 41.90.12
HCM hypertrophic cardiomyopathy; ICD internal cardiac defibrillator; LAD left atrium diameter; LAV left atrium volume; LV left ventricular; LVEDD left ventricular end-diastolic diameter; LVEDV left ventricular end-diastolic volume; LVEF left ventricular ejection fraction; LVESD left ventricular end-systolic diameter; LVESV left ventricular end-systolic volume; LVOTO left ventricular outflow tract obstruction; PW posterior wall; SCD sudden cardiac death.
Table 3. Summary of rare variants (AF < 0.001) identified in our cohort.
Table 3. Summary of rare variants (AF < 0.001) identified in our cohort.
ConsequenceMissenseStop-GainedIn-FrameFrameshiftSpliceSynonymousTotal
Previously reported3512--1452
Novel302111843
Total6533112295
AF allele frequency.
Table 4. Novel rare variants (AF < 0.001) detected in our cohort; variants classified by VarSome as LP/P are represented in bold letters.
Table 4. Novel rare variants (AF < 0.001) detected in our cohort; variants classified by VarSome as LP/P are represented in bold letters.
GeneHGVScHGVSpMolecular ConsequenceIn Silico PredictionsVarSome ClassNo. Cases
ACTA1c.848G>Ap.Ser283AsnMissense variantS: D
P: N
PP: B
MT: DC
LP1
ACTN2c.411C>Ap.Ile137=Synonymous variantS: T
P: N
PP: NA
MT: DC
LB1
ACTN2c.973G>Tp.Asp325TyrMissense variantS: D
P: D
PP: PrD
MT: DC
VUS1
ANKRD1c.566C>Tp.Ala189ValMissense variantS: D
P: D
PP: PoD
MT: DC
VUS1
CALR3c.877G>Tp.Glu293TerStop gainedS: D
P: NA
PP: NA
MT: DC
P1
DESc.462C>Ap.Leu154=Synonymous variantS: T
P: N
PP: NA
MT: DC
LB1
DESc.1023T>Gp.Thr341=Synonymous variantS: T
P: N
PP: NA
MT: DC
LP1
DESc.1095C>Ap.Asp365GluMissense variantS: T
P: N
PP: B
MT: DC
LP1
DESc.1104G>Tp.Ala368=Synonymous variantS: T
P: N
PP: NA
MT: Pol
LB1
GAAc.352G>Ap.Gln118LysMissense variantS: T
P: N
PP: B
MT: Pol
VUS1
JPH2c.1683G>Tp.Ala561=Synonymous variantS: T
P: N
PP: NA
MT: DC
LB1
JPH2c.1039G>Tp.Val347PheMissense variantS: D
P: D
PP: PrD
MT: DC
LB1
KLF10c.1060G>Tp.Ala354SerMissense variantS: T
P: N
PP: B
MT: Pol
VUS1
LDB3c.563G>Ap.Gly188AspMissense variantS: T
P: N
PP: B
MT: Pol
LB1
LDB3c.1103C>Ap.Pro368HisMissense variantS: T
P: N
PP: NA
MT: DC
LB1
LDB3c.1155C>Ap.Thr385=Synonymous variantS: T
P: N
PP: NA
MT: Pol
LB1
LDB3c.1838C>Ap.Pro613GlnMissense variantS: D
P: D
PP: NA
MT: DC
VUS1
MYBPC3c.2813C>Tp.Ala938ValMissense variantS: D
P: N
PP: PrD
MT: DC
LP1
MYBPC3c.1965A>Gp.Ile655MetMissense variantS: T
P: N
PP: B
MT: Pol
VUS2
MYBPC3c.1957_1962delGGCCGCp.Gly653_Arg654delIn-frame deletionS: NA
P: D
PP: NA
MT: Pol
LP2
MYBPC3c.1252A>Cp.Lys418GlnMissense variantS: T
P: N
PP: B
MT: DC
VUS1
MYBPC3c.1251C>Tp.Ala417=Synonymous variantS: T
P: N
PP: NA
MT: DC
LB1
MYBPC3c.1247_1248insCCAGp.Ala417GlnfsTer29Frameshift variantS: NA
P: NA
PP: NA
MT: DC
P1
MYBPC3c.996G>Tp.Glu332AspMissense variantS: T
P: N
PP: B
MT: DC
VUS1
MYH6c.2571G>Tp.Glu857AspMissense variantS: T
P: N
PP: PrD
MT: DC
LB1
MYH6c.2346G>Tp.Arg782SerMissense variantS: D
P: D
PP: B
MT: DC
VUS1
MYLK2c.1431C>Ap.Ser477ArgMissense variantS: D
P: D
PP: PrD
MT: DC
VUS1
MYOZ2c.236C>Ap.Ala79GluMissense variantS: T
P: N
PP: PoD
MT: DC
LB1
NEXNc.44C>Ap.Ser15TyrMissense variantS: D
P: N
PP: PoD
MT: DC
VUS1
PRKAG2c.1381C>Tp.Pro461SerMissense variantS: D
P: D
PP: PrD
MT: DC
VUS1
SOS1c.3434A>Gp.Asp1145GlyMissense variantS: T
P: N
PP: B
MT: DC
VUS1
TCAPc.68C>Ap.Ala23GluMissense variantS: D
P: D
PP: PoD
MT: DC
VUS1
TRIM63c.697C>Ap.Gln233LysMissense variantS: T
P: N
PP: B
MT: Pol
LB1
TTNc.44530G>Tp.Ala14844SerMissense variantS: D
P: N
PP: PrD
MT: DC
VUS1
TTNc.30392G>Tp.Cys10131PheMissense variantS: T
P: D
PP: B
MT: DC
VUS1
TTNc.26928G>Tp.Leu8976=Synonymous variantS: T
P: N
PP: NA
MT: DC
LB1
TTNc.25185G>Tp.Lys8395AsnMissense variantS: D
P: D
PP: PrD
MT: DC
LB1
TTNc.22816+1G>T Splice donor variantS: NA
P: NA
PP: NA
MT: DC
P1
TTNc.16783G>Tp.Val5595LeuMissense variantS: T
P: N
PP: B
MT: Pol
LB1
TTNc.11927A>Gp.Lys3976ArgMissense variantS: T
P: N
PP: B
MT: Pol
LB1
TTNc.11338G>Tp.Glu3780TerStop gainedS: NA
P: NA
PP: NA
MT: DC
P1
TTNc.2518G>Tp.Ala840SerMissense variantS: D
P: N
PP: B
MT: DC
VUS1
TTNc.49G>Tp.Val17LeuMissense variantS: T
P: N
PP: B
MT: DC
VUS1
AF allele frequency; B benign; D damaging (SIFT)/ deleterious (Provean); DC disease causing; LB likely benign; LP likely pathogenic; N neutral; NA not available; P pathogenic; PoD possibly damaging; Pol polymorphism; PrD probably damaging; T tolerated; VUS variant of uncertain significance.
Table 5. Previously reported rare variants (AF < 0.001) detected in our cohort; LP/P variants are represented in bold letters.
Table 5. Previously reported rare variants (AF < 0.001) detected in our cohort; LP/P variants are represented in bold letters.
GeneHGVScHGVSpdbSNP IDClinVar IDClinVar ClassNo. Cases
ACTN2c.2445C>Tp.Ile815=rs39751657543929LB1
ANKRD1c.197G>Ap.Arg66Glnrs15079747645628LB1
BRAFc.95_100dupGCGCCGp.Gly32_Ala33duprs39751533141448VUS1
CAV3c.39C>Tp.Ile13=rs200562715179005LB1
CSRP3c.208G>Tp.Gly70Trprs777211110520335VUS1
GAAc.762G>Ap.Ser254=rs533960093509666LB1
GAAc.899C>Ap.Ala300Glurs1032949450NANA1
KLF10c.973G>Ap.Val325Ilers760040811NANA1
LAMP2c.37G>Tp.Gly13Trprs12853266NANA1
LDB3c.610G>Ap.Ala204Thrrs774976112626705CON (LB/VUS)1
MAP2K1c.315C>Tp.Pro105=rs14416652144589B2
MYBPC3c.3413G>Cp.Arg1138Prors18770512042712VUS2
MYBPC3c.3294G>Ap.Trp1098Terrs767039057520341P1
MYBPC3c.3262C>Gp.Pro1088Alars1263358939NANA1
MYBPC3c.2882C>Tp.Pro961Leurs37305628242665VUS1
MYBPC3c.2441_2443delAGA *p.Lys814del *rs727504288177700CON (VUS/LP)1
MYBPC3c.1967C>Tp.Pro656Leurs927421140NANA2
MYBPC3c.1316G>Ap.Gly439Asprs763045718628463VUS1
MYBPC3c.1127G>Ap.Ser376Asnrs1595846858NANA1
MYBPC3c.772G>Ap.Glu258Lysrs39751607442792P1
MYBPC3c.152C>Tp.Ala51Valrs746738538NANA1
MYH6c.2710G>Tp.Glu904Terrs759822161NANA1
MYH7c.5736C>Tp.Ile1912=rs20072859743086B1
MYH7c.5203T>Ap.Ser1735Thrrs144066768181272VUS1
MYH7c.4377G>Tp.Lys1459Asnrs20130710143012LB1
MYH7c.4348G>Ap.Asp1450Asnrs39751621143009VUS1
MYH7c.4212G>Tp.Val1404=rs39751620543000LB1
MYH7c.2389G>Ap.Ala797Thrrs321871642901LP/P1
MYH7c.1755C>Tp.Ile585=rs201860580194465CON (LB/VUS)1
MYH7c.1108G>Ap.Glu370LysNU858379VUS1
MYH7c.715G>Ap.Asp239Asnrs39751626443100LP/P1
MYL2c.374C>Tp.Thr125Metrs37566756543473VUS1
MYO6c.2322T>Cp.Pro774=rs947653207NANA1
MYPNc.1012C>Tp.Arg338Cysrs140037748201882VUS1
PDLIM3c.334G>Ap.Gly112Argrs777447396967683VUS1
PRKAG2c.147C>Tp.Asp49=rs761196275696154LB1
SOS1c.661C>Gp.Leu221Valrs1007628403NANA1
TNNI3c.557G>Ap.Arg186Glnrs39751635743395LP/P1
TNNT2c.863G>Ap.Arg288Hisrs39751648443674VUS1
TNNT2c.774C>Tp.Phe258=rs39751648143668LB1
TNNT2c.430C>Tp.Arg144Trprs45525839127070VUS1
TNNT2c.341C>Tp.Ala114Valrs727504245177633CON (VUS/LP)1
TPM1c.574G>Ap.Glu192Lysrs19947631531882P1
TPM1c.835C>Tp.Leu279=rs374434837378751LB1
TTNc.40423A>Gp.Lys13475Glurs775980062NANA1
TTNc.32736G>Ap.Pro10912=rs368838709NANA1
TTNc.29079G>Ap.Ala9693=rs372997298137775CON (B/LB/VUS)1
TTNc.22386T>Ap.Asp7462Glurs18348284946699CON (B/VUS)1
TTNc.20395C>Tp.Arg6799Trprs751534449809053VUS1
TTNc.15856G>Ap.Gly5286Serrs1409273228NANA1
TTNc.11959A>Gp.Ile3987Valrs551387805264496CON (LB/VUS)1
VCLc.3186G>Ap.Gln1062=rs761534024300798CON (LB/VUS)1
AF allele frequency; B benign; CON variant with conflicting interpretations of pathogenicity; LB likely benign; LP likely pathogenic; NA data not available; P pathogenic; VUS variant of uncertain significance. * GenBank accession number MH595891, variant previously published by our group in [14].
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Micheu, M.M.; Popa-Fotea, N.-M.; Oprescu, N.; Bogdan, S.; Dan, M.; Deaconu, A.; Dorobantu, L.; Gheorghe-Fronea, O.; Greavu, M.; Iorgulescu, C.; et al. Yield of Rare Variants Detected by Targeted Next-Generation Sequencing in a Cohort of Romanian Index Patients with Hypertrophic Cardiomyopathy. Diagnostics 2020, 10, 1061. https://0-doi-org.brum.beds.ac.uk/10.3390/diagnostics10121061

AMA Style

Micheu MM, Popa-Fotea N-M, Oprescu N, Bogdan S, Dan M, Deaconu A, Dorobantu L, Gheorghe-Fronea O, Greavu M, Iorgulescu C, et al. Yield of Rare Variants Detected by Targeted Next-Generation Sequencing in a Cohort of Romanian Index Patients with Hypertrophic Cardiomyopathy. Diagnostics. 2020; 10(12):1061. https://0-doi-org.brum.beds.ac.uk/10.3390/diagnostics10121061

Chicago/Turabian Style

Micheu, Miruna Mihaela, Nicoleta-Monica Popa-Fotea, Nicoleta Oprescu, Stefan Bogdan, Monica Dan, Alexandru Deaconu, Lucian Dorobantu, Oana Gheorghe-Fronea, Maria Greavu, Corneliu Iorgulescu, and et al. 2020. "Yield of Rare Variants Detected by Targeted Next-Generation Sequencing in a Cohort of Romanian Index Patients with Hypertrophic Cardiomyopathy" Diagnostics 10, no. 12: 1061. https://0-doi-org.brum.beds.ac.uk/10.3390/diagnostics10121061

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