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Diagnostic outcomes of exome sequencing in patients with syndromic or non-syndromic hearing loss

  • Tina Likar,

    Roles Data curation, Investigation, Writing – original draft, Writing – review & editing

    Affiliation Clinical Institute of Medical Genetics, University Medical Centre Ljubljana, Ljubljana, Slovenia

  • Mensuda Hasanhodžić,

    Roles Data curation

    Affiliation Policlinic of Medical Genetics with Genetic Counseling for Out-Patient Care, Department of Paediatrics, University Clinical Centre Tuzla, Tuzla, Bosnia and Herzegovina

  • Nataša Teran,

    Roles Investigation

    Affiliation Clinical Institute of Medical Genetics, University Medical Centre Ljubljana, Ljubljana, Slovenia

  • Aleš Maver,

    Roles Formal analysis, Methodology, Visualization, Writing – review & editing

    Affiliation Clinical Institute of Medical Genetics, University Medical Centre Ljubljana, Ljubljana, Slovenia

  • Borut Peterlin,

    Roles Conceptualization

    Affiliation Clinical Institute of Medical Genetics, University Medical Centre Ljubljana, Ljubljana, Slovenia

  • Karin Writzl

    Roles Conceptualization, Writing – original draft, Writing – review & editing

    karinwritzl@gmail.com

    Affiliation Clinical Institute of Medical Genetics, University Medical Centre Ljubljana, Ljubljana, Slovenia

Abstract

Hereditary hearing loss (HL) is a common sensory disorder, with an incidence of 1–2 per 1000 newborns, and has a genetic etiology in over 50% of cases. It occurs either as part of a syndrome or in isolation and is genetically very heterogeneous which poses a challenge for clinical and molecular diagnosis. We used exome sequencing to seek a genetic cause in a group of 56 subjects (49 probands) with HL: 32 with non-syndromic non-GJB2 HL and 17 with syndromic HL. Following clinical examination and clinical exome sequencing, an etiological diagnosis was established in 15 probands (15/49; 30%); eight (8/17;47%) from the syndromic group and seven (7/32; 21%) from the non-syndromic non-GJB2 subgroup. Fourteen different (half of them novel) non-GJB2 variants causing HL were found in 10 genes (CHD7, HDAC8, MITF, NEFL, OTOF, SF3B4, SLC26A4, TECTA, TMPRSS3, USH2A) among 13 probands, confirming the genetic heterogeneity of hereditary HL. Different genetic causes for HL were found in a single family while three probands with apparent syndromic HL were found to have HL as a separate clinical feature, distinct from the complex phenotype. Clinical exome sequencing proved to be an effective tool used to comprehensively address the genetic heterogeneity of HL, to detect clinically unrecognized HL syndromes, and to decipher complex phenotypes in which HL is a separate feature and not part of a syndrome.

Introduction

Hereditary hearing loss (HL) is one of the most common sensory disorders worldwide, with an incidence of 1–2 per 1000 newborns [1]. In 2004 the World Health Organization reported that over 5% of the world population (cca. 360 million people) had a disabling hearing impediment greater than 40 decibels (measured average for 0.5, 1, 2, 4 kHz (dB)) [2]. Genetic factors account for more than 50% of cases, where the majority exhibit autosomal recessive (AR) inheritance (75–80%) followed by 20–25% autosomal dominant (AD) and 1–1.5% X-linked or of mitochondrial inheritance [3]. It is estimated that just over 200 genes are involved in the process of hearing, which comprises about 1% of all coding genes in the human genome [4].

About 70% of all congenital hereditary HL is non-syndromic (nsHL) [5]. Thus far, 59 autosomal dominant, 78 autosomal recessive and 6 X-linked loci have been identified with 36, 66, and 5 causative genes, respectively [4]. Furthermore, some of these HL genes have been associated with both recessive and dominant forms of HL. There are examples of digenic interactions that cause deafness [1], mitochondrial pathogenic variants as well as certain genetic-environmental interactions that cause HL.

The remaining 30% of HL cases are considered to be syndromic (sHL), wherein the patients exhibit clinical features in at least one other organ system. HL is a feature of between 300 and 400 different syndromes, in which hardness of hearing commonly represents a mild and/or inconsistent feature and many of these syndromes are extremely rare. Nonetheless, HL is also a frequent and/or consistent clinical feature in many syndromes such as Usher syndrome, Pendred syndrome, Waardenburg, Branchio-Oto-Renal and Jarvell, Lange-Nielsen syndromes [6].

This extreme genetic heterogeneity of hereditary nsHL and sHL can often present challenges in its clinical and genetic evaluation. Traditionally, genetic diagnosis of nsHL patients has been carried out for the most common genetic cause of recessive nsHL (the c.35delG variant of the GJB2 gene) using PCR or Sanger sequencing of the entire GJB2 gene. Pathogenic variants in this gene are responsible for an estimated 50% of all prelingual, nsHL cases and the carrier rate of the c.35delG variant in the Caucasian population is 1 in 33 [7]. However, considering the great overall number of possible genetic causes for HL, these two methods have proven to be inefficient, costly and very time consuming when dealing with cascade sequencing of coding regions in a large number of genes. Recently, with the advent of next generation sequencing (NGS) in medical molecular laboratories, high-throughput sequencing of a large set of HL-associated genes has become possible. Massively parallel sequencing of a large number of exons in a single experiment has increased the diagnostic yield and contributed to better characterization of known genes associated with HL [8,9].

The majority of studies published (reviewed in [10]) on the usage of NGS technologies for genetic testing of HL included only individuals with nsHL and have used panels with different types and numbers of genes, while data on the utility of exome sequencing and the utility of NGS technologies in individuals with sHL are sparse.

In the present work we used exome sequencing to seek a genetic cause in a group of 56 patients with either syndromic HL or non-syndromic non-GJB2 HL. This work illustrates genetic heterogeneity of HL and added value of exome sequencing approach in patients with complex phenotypes.

Materials and methods

Patients

This study was carried out at the Clinical Institute of Medical Genetics at the University Medical Center of Ljubljana, Slovenia and the University Medical Center in Tuzla, Bosnia and Herzegovina (BiH). It was approved by the National Medical Ethics Committee of the Republic of Slovenia (No.98/05/12). All participants provided written informed consent prior to enrolment in our study. Written informed consent for all child participants was obtained on their behalf from their parents.

Fifty-six individuals with HL were recruited for our study, 30 from Slovenia and 26 from BiH, all of Caucasian origin. The inclusion criteria were: bilateral, pre-lingual HL with a negative medical history related to potential causes of acquired HL (infection, trauma, ototoxic drugs, perinatal complications). Brain stem evoked acoustic potentials and pure-tone audiometry were used to assess the degree and progression of HL. Hearing loss severity was classified as mild (26–40 dB), moderate (41–55 dB), moderately severe (56–70 dB), severe (71–90 dB), or profound (>91 dB) [11]. All individuals routinely underwent neurological and ophthalmological examination in the patients’ country of origin (Slovenia or BiH).

Fifty-six individuals belonging to 48 unrelated families were in our HL cohort. Siblings and parents of probands were not considered for diagnostic yield calculation, except in one case where two members of the same family had different genetic causes of HL. Additional family members were recruited for co-segregation analysis whenever possible.

Fourty-nine probands were divided into two subgroups based on their clinical presentation; the nsHL subgroup of 32 probands with no other clinical findings observed at the time of clinical examination, and the sHL subgroup of 17 probands having at least one additional clinical finding besides HL (S1 Table).

All probands from the non-syndromic subgroup were prescreened by conventional Sanger sequencing for pathogenic variants in GJB2, while all probands from syndromic subgroup underwent clinical exome sequencing as the first genetic test.

Exome sequencing

Clinical exome sequencing (cES) was performed using the in-solution capture of exonic sequences with Nextera Rapid Capture Enrichment kit (Illumina, USA) targeting the exons of 4813 genes associated with human genetic disease (TruSight One Panel by Illumina, USA). Sequencing was performed on the Illumina MiSeq platform in 2 x 100 pair-end reads. Raw sequence files were processed using a custom in-house exome analysis pipeline, based on a GATK best practices backbone. Alignment of reads to the human reference assembly (hg19) was performed using the Burrows-Wheeler (BWA) aligner, duplicate sequences removed using Picard MarkDuplicates, followed by base quality score recalibration, variant calling, variant quality score recalibration and variant filtering using elements of the GATK toolset [12].

Variant analysis and filtration

Variants were stored and annotated in the variant collection and annotation system, based on vtools and ANNOVAR software. Refseq gene models were used for transcript positioning of variants and annotations from dbSNP v138 were used for single nucleotide polymorphism (SNP) annotation. The Slovene genomic variation database, based on a compilation of 1500 exomes was considered the primary source for assessment of variants’ prevalence in the population. Furthermore, the datasets of the Exome Aggregation Consortium (ExAC, exac.broadinstitute.org), UK10K control population (www.uk10k.org) and GoNL (www.nlgenome.nl) projects were employed as sources of variant frequencies in other worldwide populations. Consensus calls of dbNSFP v2 precomputed pathogenicity predictions were used for evaluation of pathogenicity for missense variants. Additionally, SNPeff predictors were utilized as a means of parallel annotation of variant effects. GERP++ rejected substation (RS) scores were used as the fundamental information source of evolutionary sequence conservation. Our pipeline included ClinVar, HGMD (http://www.hgmd.cf.ac.uk/ac/index.php), LOVD (http://www.lovd.nl/3.0/home) and Hereditary Hearing loss Homepage databases as sources of known disease association for identified variants.

The search for causative variants was first focused on genes already associated with HL (S2 Table). In the case of syndromic HL patients, we surveyed the variants in genes associated with syndromic features that accompanied the hearing impairment. The associations were tracked by the Human Phenotype Ontology database (http://human-phenotype-ontology.github.io/). We supplemented this list of genes with genes in deafness gene panels [13].

A minimum median coverage of 60x was required to proceed with the interpretation of exome sequencing data. Variants were taken into consideration, if they were covered by at least 5 reads and if the GATK variant call quality score exceeded 100.0.

We filtered the variants in accordance with the mode of inheritance, variant functional effect (we considered missense, nonsense, splice site, in-frame INDELs and frame-shift INDELs in our analysis) and by masking the variant set with phenotype gene panels. Considering the relatively high frequency of more prevalent deafness-associated variants in the general population, we used relaxed frequency threshold criteria for variant selection. For variants in genes, associated with dominant inheritance, we filtered out variants attaining a frequency above 0.01% in control. Conversely, for variants in genes, associated with recessive inheritance we excluded the variants with a minor allele frequency above 2% in the general population.

Variant classification and validation

All variants were classified according to the guidelines from the American College of Medical Genetics to pathogenic, likely pathogenic, of uncertain significance, likely benign or benign [14], and novel variants were submitted to the ClinVar Database (https://www.ncbi.nlm.nih.gov/clinvar/). Pathogenic and likely pathogenic variants were classified as disease causing variants.

Candidate variants found by NGS were validated using Sanger sequencing if the coverage at the variant site of the exome sequencing result was below 30x and/or the base quality score below 500, in accordance with previously published recommendations [15]. Furthermore, Sanger sequencing was employed to resolve cases with a suspected compound heterozygous combination of variants and for other familial segregation analyses. Sequencing was carried out using BigDye 3.1 sequencing chemistry (Life Technologies), followed by capillary electrophoresis on the ABI 3500 capillary sequencer (Life Technologies).

Primer sequences are available upon request.

Results

Study group

Of the 49 probands included in our study 32 patients were deemed non-syndromic and 17 syndromic, according to their clinical data and their family’s medical history. The mean age of the probands at the start of the study was 8.25 years in the non-syndromic group (with a median of 7 and an age range from 2 to 36 years) and 9.5 years in the syndromic group (with a median of 8 and an age range of 1 to 35 years). Familial and sporadic cases were included and probands had prelingual, bilateral, mild to profound HL. Details of the study group are presented in Table 1.

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Table 1. Primary cohort characteristics (n = 49 probands).

https://doi.org/10.1371/journal.pone.0188578.t001

Variant spectrum

Twenty rare non-GJB2 variants were found in 15 genes. We identified a single variant in 13 genes (CHD7, HDAC8, MIR96, MITF, MYH14, NEFL, RYR1, SF3B4 TECTA, TMC1, TMPRSS3, USH2A, and WFS1), two variants in OTOF and five variants in SLC26A4 (Table 2). Fifteen variants were classified as pathogenic or likely pathogenic, considered disease-causing variants, and five as variants of unknown significance (MIR96, MYH14, TMC1, WFS1, and one of five SLC26A4 variants). In total, 53% (8/15) of the disease-causing variants were novel.

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Table 2. Disease causing variants and variants of uncertain significance in HL probands.

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Seven of the 49 probands presented with a heterozygous disease-causing variant resulting in dominant HL (CHD7, HDAC8, NEFL, SF3B4, TECTA, and twice in MITF). The pedigrees were consistent with dominant HL (S1 Fig). The de novo origin of the variant was confirmed in sporadic cases with novel missense variants, and segregation was analyzed in familial cases.

In eight of the 49 probands, we identified a homozygous or compound heterozygous disease-causing variant in a gene associated with recessive HL (OTOF, TMPRSS3, and twice in GJB2, SLC26A4, and USH2A). The group comprised of five sporadic (GJB2, OTOF, USH2A, and SLC26A4 twice) and three familial cases (GJB2, TMPRSS3, USH2A) (S1 Fig). Both probands with GJB2 pathogenic variants were originally assigned to the suspected syndromic HL subgroup. This was due to proband P314 having several additional clinical features (see Table 3) and in the case of proband P555 as a result of her family history of HL and retinitis pigmentosa in addition to her infancy (1 year of age) at the time of examination.

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Table 3. Clinical characteristics of HL probands with rare variants.

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The overall diagnostic yield of the HL cohort was 30.6% (15/49). The diagnostic yield of the syndromic subgroup (47%; 8/17) was higher than that of the non-syndromic non-GJB2 HL subgroup (21.8%; 7/32) (Fig 1). Of the 17 individuals in the syndromic subgroup, nine (52.9%) had positive genetic testing results. With the use of cES, we were able to identify whether HL was, indeed, part of a syndromic form of HL or whether it was a separate feature of a complex phenotype. We found genetic causes for syndromic forms of HL in six probands, and genetic variants causing either a non-syndromic HL or a non-HL phenotype in three patients. Of the later, two probands (P555 and P314) had pathogenic variants causing the HL phenotype in GJB2, while one proband (P144) was found to have a variant for Central Core Disease, a non-HL phenotype.

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Fig 1. Exome sequencing outcome in the cohort of probands with non-syndromic and syndromic HL.

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Genotype-phenotype associations

Eight novel likely pathogenic variants were identified in the HL cohort. Seven of them were causal for HL and one for a non-HL phenotype. The characteristics of these genetic variants are presented in Table 2 and genotype-phenotype associations are described in Table 3. S1 Fig. depicts segregation patterns.

Four variants were frameshift, nonsense or splice-site (in CHD7, HDAC8, SF3B4, and OTOF) mutations and therefore highly likely to be pathogenic.

CHD7.

A novel heterozygous nonsense variant: c.6892C>T, p.(Gln2298*). CHD7 pathogenic variants are known to be associated with CHARGE (Coloboma, Heart, Choanal Atresia, Retardation and Ear Anomalies) syndrome (OMIM 214800). The proband had mixed conductive and sensorineural progressive HL leading to profound HL before the age of 20. He presented with normal growth and had received a master degree; however he had bilateral retinal coloboma and ear anomalies consistent with CHARGE syndrome.

HDAC8.

A novel heterozygous nonsense variant: c.522C>A, p.(Tyr174*) was found in a 10-year-old proband (P152), who had bilateral, moderate, congenital sensorineural HL (SNHL). She presented with developmental delay, a severe speech impediment, intellectual disability, and seizures. Clinical investigation revealed microcephaly, arched eyebrows, synophrys, pectus excavatum, partial skin syndactyly of fingers 3 and 4 and syndactyly of the second and middle toes. The hand X-rays showed short 5th metacarpal bones bilaterally. The proband’s clinical features were consistent with the clinical diagnosis of Cornelia de Lange syndrome, a clinical and genetically heterogeneous disorder, caused by heterozygous pathogenic variants in HDAC8 among others [29], [30].

SF3B4.

A novel de novo heterozygous frameshift variant: c.827delC, p.(Pro276fs) was detected in proband P552, who had moderately severe congenital conductive bilateral HL of 50–90 dB with a peak at 1kHz. He presented with facial anomalies (malar hypoplasia and severe microganthia), and limb anomalies (bilateral hypoplasia of the thumbs and unilateral proximal radioulnar synostosis). Heterozygous loss-of-function variants in SF3B4 are a known cause of Nager syndrome, which is consistent with the patient’s described clinical features.

OTOF.

Compound heterozygous variants were found in the OTOF gene in the proband P162. The variant c.2677-2A>G was novel, whereas the c.4483C>T, p.(Arg1495*) variant was a known pathogenic one (ClinVar 65804). Proband P162 presented with congenital bilateral profound SNHL, which is characteristic for OTOF-related non-syndromic HL.

Rare novel disease-causing missense variants were identified in three genes: in SLC26A4 and TECTA explaining the cause of HL and in RYR1 identifying the non-HL phenotype.

SLC26A4.

Proband P976 had three rare missense variants; compound heterozygous novel variants c.299T>C, p.(Leu100Pro) and c.1693T>G, p.(Cys565Gly) were predicted to be disease-causing, whereas the c.1730T>C variant has already been reported as a variant of unknown significance (ClinVar 194601). Proband P976 presented with abrupt bilateral SNHL at the age of 18 months, followed by phases of fluctuating HL, finally leading to profound HL. This phenotype is characteristic for HL due to pathogenic variants in SLC26A4. Thyroid function was normal.

TECTA.

The heterozygous novel variant c.6061C>T, p.(Arg2021Cys) is located in the zona pellucida domain of TECTA, where several missense variants have been reported to be associated with dominant forms of HL [31], one of them altering the same amino acid (p.Arg2021His in Iwasaki et al. [19]). Proband P074 and affected sibling shared the same disease-causing variant, which was not present in the normal-hearing mother and was likely inherited from the affected father who was not available for testing. Siblings presented with congenital, non-progressive, bilateral, symmetrical HL of 50-70dB and 60-80dB that is consistent with DFNA8.

RYR1.

The de novo heterozygous novel variant c.7111G>A in exon 44 (p.(Glu2371Lys) was located within the mutational “hotspot” of domain 2 (exons 39–46) [32]. Pathogenic variants in RYR1 are known to be associated with autosomal dominant and autosomal recessive central core disease (CCD) (OMIM 117000), and malignant hyperthermia (OMIM 145600) but have not been associated with HL. Proband P144 suffered from bilateral, high frequency (6–8 kHz), mild (25dB) SNHL, which is not known to be part of CCD. The proband also presented with congenital arthrogryposis, delayed motor milestones with walking achieved at the age of 3 years, and severe scoliosis first noticed at the age of 4 years and requiring first surgical correction at the age of 12 years. This phenotype was consistent with autosomal dominant CCD, caused by a RYR1 mutation.

Five variants (in MIR96, TMC1, MYH14, WFS1, and SLC26A4) were classified as variants of unknown significance (Tables 2 and 3).

Discussion

We conducted comprehensive gene analysis using clinical exome sequencing in a group of probands with non-syndromic non-GJB2 HL and in a group with syndromic HL from the Slovene and Bosnian populations. The strength of our approach is the inclusion of individuals with syndromic HL and the usage of a clinical exome instead of targeted panels, which enabled us to identify not only the cause of non-syndromic and syndromic HL phenotypes but also to decipher whether HL is part of a syndrome or a separate clinical feature.

There are three important findings from our study.

First, we found the genetic cause for HL in 15 of the 49 probands evaluated (30%). These included individuals with nsHL and individuals with apparently sHL. In the subgroup of nsHL, the diagnostic yield reached 21.8% (7/32). It should be noted, that this group of patients was prescreened for GJB2 mutations, which account for up to 50% of all prelingual, non-syndromic HL cases in Caucasian populations [7][22]. Our diagnostic yield coincides well with results published in 2016 by Sloan-Heggen et al.[33], where they reported the analysis of the largest nsHL patient cohort to date with 1119 probands of mixed ethnicity, almost half of whom were of Caucasian origin. Their non-GJB2 diagnostic yield reached 17.4%, which is comparable to the diagnostic yield in our nsHL study cohort. While several studies evaluated the diagnostic yield of non-syndromic HL [10], implementation of NGS technologies in syndromic HL has not been systematically studied. In the present group of 17 individuals with apparently syndromic HL, according to clinical examination and medical history, the disease-causing variant for HL was found in 8 individuals (47%). In a recent study, where children with syndromic HL had undergone genetic testing with a disease-targeted NGS panel for syndromic and non-syndromic HL genes, a diagnostic yield of 58.3% (28/48) was achieved, however the diagnosis of syndromic HL was not pinpointed solely on a clinical bases but determined after the results of genetic testing were known [34].

Second, clinical exome sequencing proved to be a useful tool in distinguishing between nsHL, sHL and HL as a separate feature of a complex phenotype.

Usually, when probands are found to have HL as the only presenting feature, a mutation in nsHL genes is suspected. However, in some syndromes special tests are required to detect secondary features or the penetrance of the secondary features is either incomplete or age dependent. These may lead to a false clinical categorization of patients with sHL into a group of apparently nsHL patients. In such cases the identification of the cause of HL would not be possible using disease-targeted panels for nsHL alone while clinical exome sequencing enables screening of non-syndromic and syndromic genes. One of the most common syndromic forms of HL, Usher syndrome, presents as a nsHL mimic early in life [33] as the onset of the secondary symptom (retinitis pigmentosa) does not appear until puberty. Two probands in the present cohort were found to have pathogenic USH2A variants; the older one (P852) presented with HL with retinal changes, while HL was the only clinical feature in the younger one (P584). Genetic testing enabled an early diagnosis of Usher syndrome, which is important in order to implement appropriate visual rehabilitation and to optimize learning and communication strategies. Waardenburg syndrome type 2A (OMIM193510), caused by pathogenic variants in the MITF gene, can also present as non-syndromic SNHL or as sHL with heterochromia iridum being the most common secondary feature. Two present probands had the same pathogenic variant in MITF. One presented as HL (P2091) and the other as HL with heterochromia (P045).

In patients with HL accompanied by clinical features in at least one other organ system, a syndromic diagnosis is suspected. As such, mutations of non-syndromic genes are often neglected during genetic testing. The clinical distinction between HL as a feature of a syndrome and HL as a separate feature of a complex phenotype can be difficult. The clinical exome sequencing approach can yield information concerning causes of nsHL, sHL, and a non-HL phenotype in the case of complex phenotypes. cES can aid in deciphering cases of syndromic HL (P584) and cases with complex phenotypes where HL is a separate feature (P144, P314, P555). As an example, proband P144, who suffered from mild high frequency HL and presented with clinical features of congenital myopathy, was found to have a novel, missense variant in a hotspot domain of the RYR1 gene, explaining his primary diagnosis, but not the cause of HL. Proband P314, who was born after a twin pregnancy and presented with moderately severe HL, a complex clinical picture of major abnormalities (microphtalmia, solitary kidney, omphalocoele) and normal development, indicating a suspicion of a syndromic diagnosis. She was found to have a compound heterozygous variant in GJB2, explaining her HL, while the cause of the congenital anomalies remained unknown. Proband P555, with a family history of suspected Usher syndrome, was found to have the most common pathogenic homozygous variant in GJB2, while the cause of familial retinitis pigmentosa remained unknown as the father declined further testing. In families with complex pedigrees with several members presenting with HL, the application of trio analysis enabled us to detect that members from a single family had different genetic causes for HL (P453).

Lastly, 14 different non-GJB2 HL disease causing variants in 10 genes (CHD7, HDAC8, MITF, NEFL, OTOF, SF3B4, SLC26A4, TECTA, TMPRSS3, and USH2A) were found among 13 patients confirming the extreme genetic heterogeneity of hereditary HL. Half (50%; 7/14) of the HL disease causing variants were novel and unique to a family, with only two variants in the USH2A and MITF genes, detected in two probands. Variant c.11864G>A in USH2A is one of the two most common pathogenic variants found in patients with Usher syndrome type 2A in Europe [28]. The distribution of the variant was shown to differ greatly among EU countries, with the lowest proportion found in France (4.5%) and the highest in Slovenia (82.5%) [28]. This coincides well with our findings of both patients with Usher syndrome having the homozygous c.11864G>A variant. Contrary to the small range of USH2A pathogenic variants, MITF pathogenic variants causing Waardenburg syndrome type 2 are diverse and usually private, with only a small number of exceptions [18], [35]. One of them is a pathogenic variant c.943C>T (p.Arg315*), which was detected in two unrelated families in our study, and has already been reported in three families originating from Northern Europe [16], India [17], and Togo [18].

The frequency of variants in some causative genes was high, with nearly half (6 of 13, 46%) of the non-GJB2 causes attributable to four genes (SLC26A4, USH2A, TECTA, and OTOF). In the study by Sloan-Heggen et al. (2016) [33] these four genes were among the top 11 most common, non-GJB2 identified genetic causes for hereditary HL (STRC, SLC26A4, TECTA, MYO15A, MYO7A, USH2A, CDH23, ADCRV1, TMC1, PCDH15 and OTOF) that made up 67% of all successful diagnoses.

In summary, the clinical exome sequencing approach allowed us to comprehensively address the genetic heterogeneity of HL, to detect clinically unrecognized HL syndromes, and to distinguish between non-syndromic HL, syndromic HL, and HL as a separate feature of a complex phenotype.

Supporting information

S1 Fig. Pedigrees and sequence chromograms.

https://doi.org/10.1371/journal.pone.0188578.s001

(PNG)

S1 Table. Clinical features of patients from syndromic hearing loss group.

Fam, familial. HL, hearing loss. SNHL, sensorineural hearing loss. Spor, sporadic.

https://doi.org/10.1371/journal.pone.0188578.s002

(PDF)

S2 Table. 660 genes, associated with “hearing loss” HPO phenotypes.

https://doi.org/10.1371/journal.pone.0188578.s003

(PDF)

Acknowledgments

We would like to thank all the families who participated in this study.

References

  1. 1. Nance WE. The genetics of deafness. Mental Retardation and Developmental Disabilities Research Reviews. 2003;9: 109–119. pmid:12784229
  2. 2. Mathers C, Boerma T, Ma Fat D. The global burden of disease 2004. Who. 2004;
  3. 3. Van Camp G, Willems PJ, Smith RJ. Nonsyndromic hearing impairment: unparalleled heterogeneity. American journal of human genetics. 1997;60: 758–64. Available: http://www.ncbi.nlm.nih.gov/pubmed/9106521%5Cnhttp://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC1712474 pmid:9106521
  4. 4. Van Camp G. Hereditary Hearing Loss Homepage. In: Hereditary Hearing Loss Homepage [Internet]. 2017 [cited 20 Jul 2010]. http://hereditaryhearingloss.org
  5. 5. Friedman TB, Schultz JM, Ben-Yosef T, Pryor SP, Lagziel A, Fisher R a, et al. Recent advances in the understanding of syndromic forms of hearing loss. Ear and hearing. 2003;24: 289–302.
  6. 6. Toriello H V., Smith SD, editors. Hereditary Hearing Loss and Its Syndromes. Third edit. Oxford University Press; 2013.
  7. 7. Gasparini P, Rabionet R, Barbujani G, Melçhionda S, Petersen M, Brøndum-Nielsen K, et al. High carrier frequency of the 35delG deafness mutation in European populations. Genetic Analysis Consortium of GJB2 35delG. European journal of human genetics : EJHG. 2000;8: 19–23. pmid:10713883
  8. 8. Neveling K, Feenstra I, Gilissen C, Hoefsloot LH, Kamsteeg EJ, Mensenkamp AR, et al. A Post-Hoc Comparison of the Utility of Sanger Sequencing and Exome Sequencing for the Diagnosis of Heterogeneous Diseases. Human Mutation. 2013;34: 1721–1726. pmid:24123792
  9. 9. Yang T, Wei X, Chai Y, Li L, Wu H. Genetic etiology study of the non-syndromic deafness in Chinese Hans by targeted next-generation sequencing. Orphanet journal of rare diseases. 2013;8: 85. pmid:23767834
  10. 10. Shearer AE, Smith RJH. Massively Parallel Sequencing for Genetic Diagnosis of Hearing Loss: The New Standard of Care. Otolaryngology—head and neck surgery: official journal of American Academy of Otolaryngology-Head and Neck Surgery. 2015;153: 175–182. pmid:26084827
  11. 11. Kochhar A, Hildebrand MS, Smith RJH. Clinical aspects of hereditary hearing loss. Genetics in Medicine. 2007;9: 393–408. pmid:17666886
  12. 12. DePristo MA, Banks E, Poplin R, Garimella K V, Maguire JR, Hartl C, et al. A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nature Genetics. 2011;43: 491–498. pmid:21478889
  13. 13. Ales M, Luca L, Marija V, Gorazd R, Karin W, Ana B, et al. Phenotype-driven gene target definition in clinical genome-wide sequencing data interpretation. Genetics in Medicine. 2016; 1–9. pmid:27031083
  14. 14. Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genetics in Medicine. 2015;17: 405–423. pmid:25741868
  15. 15. Strom SP, Lee H, Das K, Vilain E, Nelson SF, Grody WW, et al. Assessing the necessity of confirmatory testing for exome-sequencing results in a clinical molecular diagnostic laboratory. Genetics in medicine: official journal of the American College of Medical Genetics. 2014;16: 510–5. pmid:24406459
  16. 16. Nobukuni Y, Watanabe A, Takeda K, Skarka H, Tachibana M. Analysis of loss-of-function mutations of the MITF gene suggests that haploinsufficiency is a cause of Waardenburg syndrome type 2A. Am J Hum Genet. 1996;59: 76–83. pmid:8659547
  17. 17. Lalwani AK, Attaie A, Randolph FT, Deshmukh D, Wang C, Mhatre A, et al. Point mutation in the MITF gene causing Waardenburg syndrome type II in a three-generation indian family. American Journal of Medical Genetics. 1998;80: 406–409. pmid:9856573
  18. 18. Pingault V, Ente D, Dastot-Le Moal F, Goossens M, Marlin S, Bondurand N. Review and update of mutations causing Waardenburg syndrome. Human Mutation. 2010;31: 391–406. pmid:20127975
  19. 19. Iwasaki S, Harada D, Usami S, Nagura M, Takeshita T, Hoshino T. Association of clinical features with mutation of TECTA in a family with autosomal dominant hearing loss. Arch Otolaryngol Head Neck Surg. 2002;128: 913–917. pmid:12162770
  20. 20. Mencía A, Modamio-Høybjør S, Redshaw N, Morín M, Mayo-Merino F, Olavarrieta L, et al. Mutations in the seed region of human miR-96 are responsible for nonsyndromic progressive hearing loss. Nature genetics. 2009;41: 609–613. pmid:19363479
  21. 21. Vona B, Müller T, Nanda I, Neuner C, Hofrichter MAH, Schröder J, et al. Targeted next-generation sequencing of deafness genes in hearing-impaired individuals uncovers informative mutations. Genetics in medicine: official journal of the American College of Medical Genetics. 2014;16: 945–53. pmid:24875298
  22. 22. Kenneson A, Van Naarden Braun K, Boyle C. GJB2 (connexin 26) variants and nonsyndromic sensorineural hearing loss: a HuGE review. Genetics in medicine: official journal of the American College of Medical Genetics. 2002;4: 258–274. pmid:12172392
  23. 23. Löffler J, Nekahm D, Hirst-Stadlmann a, Günther B, Menzel HJ, Utermann G, et al. Sensorineural hearing loss and the incidence of Cx26 mutations in Austria. European journal of human genetics: EJHG. 2001;9: 226–230. pmid:11313763
  24. 24. Rodriguez-Ballesteros M, Reynoso R, Olarte M, Villamar M, Morera C, Santarelli R, et al. A multicenter study on the prevalence and spectrum of mutations in the otoferlin gene (OTOF) in subjects with nonsyndromic hearing impairment and auditory neuropathy. Human Mutation. 2008;29: 823–831. pmid:18381613
  25. 25. Campbell C, Cucci RA, Prasad S, Green GE, Edeal JB, Galer CE, et al. Pendred syndrome, DFNB4, andPDS/SLC26A4 identification of eight novel mutations and possible genotype-phenotype correlations. Human Mutation. 2001;17: 403–411. pmid:11317356
  26. 26. Choi BY, Stewart AK, Madeo AC, Pryor SP, Lenhard S, Kittles R, et al. Hypo-functional SLC26A4 variants associated with nonsyndromic hearing loss and enlargement of the vestibular aqueduct: genotype-phenotype correlation or coincidental polymorphisms? Human Mutation. 2009;30: 599–608. pmid:19204907
  27. 27. van Wijk E, Pennings RJE, te Brinke H, Claassen A, Yntema HG, Hoefsloot LH, et al. Report Identification of 51 Novel Exons of the Usher Syndrome Type 2A (USH2A) Gene That Encode Multiple Conserved Functional Domains and That Are Mutated in Patients with Usher Syndrome Type II. Am J Hum Genet. 2004;74: 738–744.
  28. 28. Bonnet C, Riahi Z, Chantot-Bastaraud S, Smagghe L, Letexier M, Marcaillou C, et al. An innovative strategy for the molecular diagnosis of Usher syndrome identifies causal biallelic mutations in 93% of European patients. European journal of human genetics: EJHG. 2016; 1–9. pmid:27460420
  29. 29. Kaiser FJ, Ansari M, Braunholz D, Gil-Rodríguez MC, Decroos C, Wilde JJ, et al. Loss-of-function HDAC8 mutations cause a phenotypic spectrum of Cornelia de Lange syndrome-like features, ocular hypertelorism, large fontanelle and X-linked inheritance. Human Molecular Genetics. 2014;23: 2888–2900. pmid:24403048
  30. 30. Parenti I, Gervasini C, Pozojevic J, Wendt KS, Watrin E, Azzollini J, et al. Expanding the clinical spectrum of the “HDAC8 -phenotype”—Implications for molecular diagnostics, counselling and risk prediction. Clinical Genetics. 2015; n/a–n/a. pmid:26671848
  31. 31. Verhoeven K, van Laer L, Kirschhofer K, Legan PK, Hughes DC, Schatteman I, et al. Mutations in the human alpha-tectorin gene cause autosomal dominant non- syndromic hearing impairment. NatGenet. 1998;19: 60–62.
  32. 32. Treves S, Anderson AA, Ducreux S, Divet A, Bleunven C, Grasso C, et al. Ryanodine receptor 1 mutations, dysregulation of calcium homeostasis and neuromuscular disorders. Neuromuscular Disorders. 2005;15: 577–587. pmid:16084090
  33. 33. Sloan-Heggen CM, Bierer AO, Shearer AE, Kolbe DL, Nishimura CJ, Frees KL, et al. Comprehensive genetic testing in the clinical evaluation of 1119 patients with hearing loss. Human Genetics. 2016;135: 441–450. pmid:26969326
  34. 34. Mehta D, Noon SE, Schwartz E, Wilkens A, Bedoukian EC, Scarano I, et al. Outcomes of evaluation and testing of 660 individuals with hearing loss in a pediatric genetics of hearing loss clinic. American Journal of Medical Genetics, Part A. 2016;170: 2523–2530. pmid:27480936
  35. 35. Wildhardt G, Zirn B, Graul-Neumann LM, Wechtenbruch J, Suckfüll M, Buske A, et al. Spectrum of novel mutations found in Waardenburg syndrome types 1 and 2: implications for molecular genetic diagnostics. BMJ open. 2013;3: 1–6. pmid:23512835