Abstract
Background
MYO3A, encoding the myosin IIIA protein, is associated with autosomal recessive and autosomal dominant nonsyndromic hearing loss. To date, only two missense variants located in the motor‐head domain of MYO3A have been described in autosomal dominant families with progressive, mild‐to‐profound sensorineural hearing loss. These variants alter the ATPase activity of myosin IIIA.
Methods
Exome sequencing of a proband from a three‐generation German family with prelingual, moderate‐to‐profound, high‐frequency hearing loss was performed. Segregation analysis confirmed a dominant inheritance pattern. Regression analysis of mean hearing level thresholds per individual and ear was performed at high‐, mid‐, and low‐frequencies.
Results
A novel heterozygous missense variant c.716T>C, p.(Leu239Pro) in the kinase domain of MYO3A was identified that is predicted in silico as disease causing. High‐frequency, progressive hearing loss was identified.
Conclusion
Correlation analysis of pure‐tone hearing thresholds revealed progressive hearing loss, especially in the high‐frequencies. In the present study, we report the first dominant likely pathogenic variant in MYO3A in a European family and further support MYO3A as an autosomal dominant hearing loss gene.
Keywords: autosomal dominant nonsyndromic hearing loss, MYO3A, myosin IIIA, progressive hearing loss, sensorineural hearing loss
A novel heterozygous missense variant c.716T>C, p.(Leu239Pro) in the kinase domain of MYO3A was identified in a German family with high‐frequency autosomal dominant sensorineural hearing loss. We provide in‐depth characterization of the hearing loss progression and confirmatory evidence of MYO3A being associated with autosomal dominant non‐syndromic hearing loss.

1. INTRODUCTION
Hearing loss (HL) belongs to the most common sensory disorders in humans and shows a prevalence of 1–3 in 1,000 newborns (Vona, Nanda, Hofrichter, Shehata‐Dieler, & Haaf, 2015). Nonsyndromic autosomal dominant hearing loss (DFNA) was first described in 1997 in a Caucasian family with profound deafness caused by a mutation in GJB2 (Kelsell et al., 1997). Since then, approximately 50 autosomal dominant HL genes have been identified, with 13 genes showing both dominant and recessive inheritance patterns (http://hereditaryhearingloss.org). MYO3A (OMIM #606808), a 33‐exon gene on chromosome 10p12.1, was first associated with autosomal recessive HL (DFNB30) in 2002. Affected individuals from a Jewish family showed bilateral, progressive, high‐frequency HL beginning in the second decade of life caused by three different recessive loss‐of‐function variants in MYO3A (Walsh et al., 2002). Since then, several additional recessive loss‐of‐function and missense variants with a wide range of HL characteristics were identified in patients with nonsyndromic HL (Choi et al., 2013; Miyagawa, Naito, Nishio, Kamatani, & Usami, 2013; Qu et al., 2016; Sommen et al., 2016; Wu et al., 2015). In 2016, the inheritance pattern of HL due to variants in MYO3A expanded with the discovery of a missense variant in an African‐American family with progressive, postlingual childhood onset HL (Grati et al., 2016). Later, in 2018, two Brazilian families with late‐onset nonsyndromic HL were identified with the same segregating missense variant (Dantas et al., 2018). To date, only three autosomal dominant families with mild‐to‐profound, progressive HL have been identified with two different segregating missense variants in MYO3A (Dantas et al., 2018; Grati et al., 2016).
In vertebrates, two different isoforms have been identified; the longer Myo3A isoform (209 kDa) and a shorter Myo3B isoform (155 kDa), that are both expressed in the retina and testis (Dose et al., 2003). The encoded myosin IIIA protein consists of a N‐terminal kinase domain, a highly conserved motor‐head domain, followed by three calmodulin binding (IQ) motifs and a C‐terminal actin‐binding domain (3THD‐II) (Dose & Burnside, 2000; Salles et al., 2009). Both previously described dominant variants in MYO3A are located in the motor‐head domain and are thought to affect the ATPase activity of the gene (Dantas et al., 2018; Grati et al., 2016). Expression is present in the retina (Dose & Burnside, 2000) and the inner ear of mammals (Schneider et al., 2006; Walsh et al., 2002), specifically at the tips of both inner and outer hair cells in all stereocilia rows, as well as in vestibular hair cell stereocilia in mice (Walsh et al., 2011). Mutant mice homozygous for a nonsense allele, show progressive, high‐frequency HL, advancing to all frequencies over time (Walsh et al., 2011).
We describe the first European family with dominant, moderate‐to‐profound, high‐frequency sensorineural HL with a novel heterozygous missense variant c.716T>C, p.(Leu239Pro) in MYO3A (NM_017433.4). This finding supports and consolidates the association of autosomal dominant HL due to variants in this gene. Due to a relative lack of studies on the genetic basis of autosomal dominant HL and the challenging occurrence of a typical later age of onset, characterization of large families is important for unraveling the distinction between autosomal recessive and dominant alleles in the personalized medicine era.
2. METHODS
2.1. Ethical compliance
Written informed consent was obtained from the family and all procedures were approved by the Ethics Commission of the University of Würzburg (46/15, approval date: 31 March 2015).
2.2. Clinical evaluation
We recruited the genomic DNA from a three‐generation German family with seven affected (I.2, II.2, II.3, III.1, III.2, III.4, III.5) and one unaffected individual (II.1). Audiological testing, including pure‐tone audiometry, was done for all affected family members and the unaffected family member III.3 complying with guidelines described by Mazzoli et al. (2003).
2.3. Genomic analysis and exome sequencing
Genomic DNA from participating affected and unaffected individuals was extracted from whole blood. We excluded pathogenic variants in the most common gene, GJB2, by diagnostic Sanger sequencing of the index patient. Exome sequencing of the index patient (III.1) was performed. Exome library preparation was performed with the Nextera Rapid Capture Exome kit (Illumina) according to manufacturer's instructions and paired‐end sequenced (2 × 76 bp) with a v2 high‐output reagent kit with the NextSeq500 sequencer (Illumina). The human reference genome GRCh37 (hg19) was used for data alignment.
2.4. Exome analysis
Single nucleotide variants (SNVs) and small indels (<15bp) were analyzed using GensearchNGS software (PhenoSystems SA) and our in‐house bioinformatics pipeline. Variant filtering followed an alternate allele frequency present at >20% and a minor allele frequency <0.01. Reads were aligned to hg19 using BWA (Li & Durbin, 2010) and the GATK toolkit according to GATK best practice (DePristo et al., 2011). Variants were filtered by quality based on the VQSLOD score that indicates the log odds ratio of the probability that each variant is true (McKenna et al., 2010). Population‐specific allele frequencies were assessed using gnomAD (Karczewski et al., 2019). PolyPhen‐2 (Adzhubei et al., 2010), MutationTaster (Ng & Henikoff, 2001) and SIFT (Schwarz, Cooper, Schuelke, & Seelow, 2014) were used to analyze the effects of SNVs, as well as the Deafness Variation Database (DVD) (Azaiez et al., 2018) and the Human Gene Mutation Database (HGMD) (Stenson et al., 2003) for variant interpretation. Potential splicing effects of variants were classified by in silico prediction tools such as SpliceSiteFinder‐like (Shapiro & Senapathy, 1987), MaxEntScan (Yeo & Burge, 2004), NNSPLICE (Reese, Eeckman, Kulp, & Haussler, 1997), Genesplicer (Pertea, Lin, & Salzberg, 2001), and Human Splicing Finder (Desmet et al., 2009). CNVs were investigated using the eXome Hidden Markov Model (XHMM, version 1.0) approach (Fromer & Purcell, 2014).
2.5. Sanger validation and segregation of the MYO3A c.716T>C variant
PCR amplification and Sanger sequencing of the genomic DNA of the index patient, as well as affected and unaffected family members was performed to validate the c.716T>C missense variant in MYO3A (NM_017433.4). Primers were designed with Primer3 (Untergasser et al., 2012) (F: 5′‐TACTAGGTGATTGCATGTGAACAG‐3′, and R: 5′‐TGAAGAGCATGATGAACACTTGG‐3′) and standard cycling conditions were used. An ABI 3130xl 16‐capillary sequencer (Life Technologies) was used for amplicon sequencing and the data were analyzed with the Gensearch 4.3 software (PhenoSystems SA).
2.6. Protein modeling prediction of wild type MYO3A
The secondary protein structure at amino acid position 239 (Leu) of wild type MYO3A was predicted in silico with I‐TASSER (Yang et al., 2015). C‐scores ranging from −5 to 2 indicate the confidence of the predicted models, where a C‐score of a higher value indicates a model with a higher confidence.
2.7. Correlation analysis
We calculated the mean hearing level threshold per patient and ear at high‐ (4–8 kHz), mid‐ (1–3 kHz), and low‐ (0.125–0.5 kHz) frequencies. Pearson's correlation between age at audiometric examination and mean hearing level threshold was calculated using OriginPro 2019b (OriginLab Corporation) (Figure S1).
3. RESULTS
3.1. Clinical presentation of the German family
We present a three‐generation German family with prelingual, bilateral, sensorineural HL (Figure 1a). All affected individuals (I.2, II.2, II.3, III.1, III.2, III.4, III.5) showed high‐frequency HL ranging from moderate to profound in severity (Figure 1d). Individual III.3 underwent audiometry and revealed normal hearing (data not shown). Our data show a clear correlation between the average thresholds at high‐ (4–8 kHz) and mid‐ (1–3 kHz) frequencies and the age at audiometric examination for both ears, indicating a progressive HL (Pearson's r: 0.62 (right ear), 0.76 (left ear) for high‐frequencies; 0.71 (right ear), 0.83 (left ear) for mid‐frequencies) (Figure S1). All affected individuals use hearing aids and show a good hearing outcome. After clinical examination, additional symptoms and risk factors for hearing loss such as infections and trauma were excluded. Tinnitus was not reported for all affected individuals.
FIGURE 1.

Pedigree of the German family, segregation, and conservation of the novel missense variant, and audiograms of affected family members. (a) A three‐generation German family with seven affected individuals are marked with black symbols and the index patient marked with an arrow. The two unaffected family members are marked with white symbols. Heterozygous, affected individuals with the c.716T>C, p.(Leu239Pro) variant are marked with “T/C”. The wild type, unaffected individual is marked with “T/T”. (b) Chromatograms showing the wild type Sanger sequence (wt, top) and the heterozygous sequence (het, below) of the c.716T>C variant. (c) Conservation of the amino acid position 239 (L) and flanking regions across different species. (d) Right and left ear pure‐tone audiogram thresholds (air conduction) of affected family members (I.2, II.2, II.3, III.1, III.2, III.4, III.5) and the age at the time of examination
3.2. Identification and analysis of a novel missense variant in MYO3A
The index patient (III.1) underwent exome sequencing and bioinformatics analysis that included 174 deafness‐associated genes (Table S1) as an initial approach to screen variants in clinically relevant hearing loss‐associated genes that was followed by an exome‐wide analysis. A novel heterozygous missense variant c.716T>C, p.(Leu239Pro) in exon 8 of the gene MYO3A (NCBI Reference Sequence: NM_017433.4) was identified that was predicted in silico as disease causing and resulted in a putative pathogenic amino acid exchange according to several in silico tools (PolyPhen‐2, MutationTaster, and SIFT). The variant is classified as “likely pathogenic” according to the ClinGen hearing loss working group expert specification (Oza et al., 2018). The variant affects a highly conserved nucleotide and amino acid (Figure 1c) that is part of the catalytic kinase domain of the encoded MYO3A protein. Protein modeling prediction of wild type MYO3A indicated an alpha‐helix at amino acid position 239 (Leu), based on the two predicted models with the highest C‐score (−1.82, −2.00). Segregation testing of the c.716T>C variant followed a dominant inheritance pattern (Figure 1a,b). Bioinformatics analysis in 174 Hl genes excluded additional potentially disease‐causing variants and copy number variations (CNVs) that could resolve the phenotype of the family. The c.716T>C variant has been submitted to the Leiden Open Variation Database version 3 (LOVD v.3.0) under variant ID 0000660455.
4. DISCUSSION
MYO3A belongs to the unconventional myosins (class III) of the large myosin superfamily (Dose & Burnside, 2000). They mediate crucial cellular functions such as signal transduction, cell movement, and vesicle trafficking (Mermall, Post, & Mooseker, 1998). Grati et al. described the first autosomal dominant mutation (p.(Gly488Glu), Figure 2) resulting in an amino acid substitution in the motor‐head domain that modifies the ATPase activity of MYO3A at the hair cell stereocilia tips. These authors also showed that MYO3A interacts with PCDH15 (protocadherin 15), a crucial component of the mechanoelectrical transduction (MET) complex (Grati et al., 2016). The two previously described dominant variants in an African‐American (c.1463G>A, p.(Gly488Glu)) and two Brazilian families (c.2090T>G, p.(Leu697Trp)) are both located in the motor‐head domain of the myosin IIIa protein (Figure 2). The affected individuals showed nonsyndromic, bilateral, progressive HL, ranging from mild to profound in severity. The age of onset varied between early childhood (postlingual) and an average age of onset of 30 to 32 years (Table S2) (Dantas et al., 2018; Grati et al., 2016). Furthermore, one congenital case was reported in one of the Brazilian families (Dantas et al., 2018). Interestingly, there is a great variability regarding the age of onset and HL severity in families with previously described recessive variants in MYO3A, ranging from congenital to late‐onset HL and a moderate‐to‐profound degree of severity. Additionally, there is no apparent clustering of recessive and dominant variants in a certain protein domain, such as the kinase or motor‐head domain (Table S2).
FIGURE 2.

Summary of all identified recessive and dominant HL variants in MYO3A (NM_017433.4, NP_059129.3). The encoded myosin IIIA protein is composed of a N‐terminal catalytic kinase domain, a motor‐head domain, three calmodulin binding (IQ) motifs, a C‐terminal domain containing a N‐terminal unit (3THD‐I) and an actin‐binding domain (3THD‐II). Previously described autosomal dominant (AD) missense variants are shown above in black and the newly identified variant c.716T>C, p.(Leu239Pro) is marked in red. Already identified autosomal recessive (AR) variants are shown below
The affected individuals in the German family we describe, all showed nonsyndromic, prelingual, progressive HL (Figure 1b,c), especially impacting high‐ (4–8 kHz) and mid‐ (1–3 kHz) frequencies (Figure S1). Progressive HL is observed in other autosomal dominant MYO3A families. As previously described, MYO3A variants that are implicated in an autosomal dominant inheritance confer a dominant‐negative effect, reducing actin protrusion initiation, and elongation activity of the encoded protein in inner ear hair cell stereocilia (Dantas et al., 2018). Dominant‐negative effects are characterized by the adverse assembly of wild type and mutant protein subunits, preventing correct protein functionality and are frequently involved in various human diseases (Bergendahl et al., 2019; Herskowitz, 1987; Marziano, Casalotti, Portelli, Becker, & Forge, 2003). The c.716T>C, p.(Leu239Pro) missense variant in the German family is the first dominant variant that is located in the kinase domain of the gene (Figure 2). In vitro analysis suggests that a functional kinase domain of the MYO3A protein is important for proper regulation of actin dynamics and stability of actin bundles at filopodial tips (Quintero et al., 2010). The heterozygous variant results in an amino acid exchange from leucine to proline that is predicted to be disease causing in silico. The exchange from a branch‐chain leucine to a cyclic proline possibly mediates the disruption of the present alpha‐helix at amino acid position 239 (Roy, Kucukural, & Zhang, 2010; Yang et al., 2015; Zhang, 2008) and results in a structural protein change (Bajaj et al., 2007; Cordes, Bright, & Sansom, 2002). Although it was not directly tested, it is suspected that the potentially defective MYO3A protein also interacts with the existing wild type protein via a dominant‐negative mechanism and is responsible for the HL phenotype in the German family.
Compared to its recessive counterpart, many dominant forms of HL lack in‐depth clinical characterization. Clinical data from large families are essential to discriminate progression, which is of high interest to directing current and future treatment modalities. Several genes, including MYO3A, lack substantial clinical validity through lack of replication evidence. Here, we describe the first European family with a novel dominant variant in MYO3A, thus, providing further evidence for the association of this gene with an autosomal dominant HL phenotype.
CONFLICT OF INTEREST
The authors declare no conflict of interest.
AUTHOR CONTRIBUTIONS
Conceptualization, T.H., B.V.; Manuscript drafting, J.D., T.H., B.V.; Ascertained family and obtained clinical data, M.A.H.H., P.B., A.H., J.D., B.V.; Supervision, T.H., B.V.; Exome sequencing and segregation analysis, J.D., M.A.H.H., B.V.; Bioinformatics support, T.M., M.D.; Protein modeling, J.D., B.V.; Correlation analysis, D.S., J.D.; All authors participated in final review and editing of the manuscript. All authors have read and agreed to the published version of the manuscript.
Supporting information
Fig S1
Table S1
Table S2
ACKNOWLEDGMENT
The authors would like to express their sincere gratitude to the family for their participation in this study.
Doll J, Hofrichter MAH, Bahena P, et al. A novel missense variant in MYO3A is associated with autosomal dominant high‐frequency hearing loss in a German family. Mol Genet Genomic Med. 2020;8:e1343 10.1002/mgg3.1343
DATA AVAILABILITY STATEMENT
The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions. The variant was deposited in LOVD3 under variant ID 0000660455.
REFERENCES
- Adzhubei, I. A. , Schmidt, S. , Peshkin, L. , Ramensky, V. E. , Gerasimova, A. , Bork, P. , … Sunyaev, S. R. (2010). A method and server for predicting damaging missense mutations. Nature Methods, 7(4), 248–249. 10.1038/nmeth0410-248 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Azaiez, H. , Booth, K. T. , Ephraim, S. S. , Crone, B. , Black‐Ziegelbein, E. A. , Marini, R. J. , … Smith, R. J. H. (2018). Genomic landscape and mutational signatures of deafness‐associated genes. American Journal of Human Genetics, 103(4), 484–497. 10.1016/j.ajhg.2018.08.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bajaj, K. , Madhusudhan, M. S. , Adkar, B. V. , Chakrabarti, P. , Ramakrishnan, C. , Sali, A. , & Varadarajan, R. (2007). Stereochemical criteria for prediction of the effects of proline mutations on protein stability. PLoS Computational Biology, 3(12), e241 10.1371/journal.pcbi.0030241 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bergendahl, L. T. , Gerasimavicius, L. , Miles, J. , Macdonald, L. , Wells, J. N. , Welburn, J. P. I. , & Marsh, J. A. (2019). The role of protein complexes in human genetic disease. Protein Science, 28(8), 1400–1411. 10.1002/pro.3667 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Choi, B. Y. , Park, G. , Gim, J. , Kim, A. R. , Kim, B.‐J. , Kim, H.‐S. , … Park, W.‐Y. (2013). Diagnostic application of targeted resequencing for familial nonsyndromic hearing loss. PLoS One, 8(8), e68692 10.1371/journal.pone.0068692 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cordes, F. S. , Bright, J. N. , & Sansom, M. S. (2002). Proline‐induced distortions of transmembrane helices. Journal of Molecular Biology, 323(5), 951–960. 10.1016/s0022-2836(02)01006-9 [DOI] [PubMed] [Google Scholar]
- Dantas, V. G. L. , Raval, M. H. , Ballesteros, A. , Cui, R. , Gunther, L. K. , Yamamoto, G. L. , … Mingroni‐Netto, R. C. (2018). Characterization of a novel MYO3A missense mutation associated with a dominant form of late onset hearing loss. Scientific Reports, 8(1), 8706 10.1038/s41598-018-26818-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- DePristo, M. A. , Banks, E. , Poplin, R. , Garimella, K. V. , Maguire, J. R. , Hartl, C. , … Daly, M. J. (2011). A framework for variation discovery and genotyping using next‐generation DNA sequencing data. Nature Genetics, 43(5), 491–498. 10.1038/ng.806 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Desmet, F. O. , Hamroun, D. , Lalande, M. , Collod‐Beroud, G. , Claustres, M. , & Beroud, C. (2009). Human Splicing Finder: An online bioinformatics tool to predict splicing signals. Nucleic Acids Research, 37(9), e67 10.1093/nar/gkp215 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dose, A. C. , & Burnside, B. (2000). Cloning and chromosomal localization of a human class III myosin. Genomics, 67(3), 333–342. 10.1006/geno.2000.6256 [DOI] [PubMed] [Google Scholar]
- Dose, A. C. , Hillman, D. W. , Wong, C. , Sohlberg, L. , Lin‐Jones, J. , & Burnside, B. (2003). Myo3A, one of two class III myosin genes expressed in vertebrate retina, is localized to the calycal processes of rod and cone photoreceptors and is expressed in the sacculus. Molecular Biology of the Cell, 14(3), 1058–1073. 10.1091/mbc.e02-06-0317 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fromer, M. , & Purcell, S. M. (2014). Using XHMM software to detect copy number variation in whole‐exome sequencing data. Current Protocols in Human Genetics, 81(1), 10.1002/0471142905.hg0723s81 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Grati, M. , Yan, D. , Raval, M. H. , Walsh, T. , Ma, Q. I. , Chakchouk, I. , … Liu, X. Z. (2016). MYO3A causes human dominant deafness and interacts with protocadherin 15‐CD2 isoform. Human Mutation, 37(5), 481–487. 10.1002/humu.22961 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Herskowitz, I. (1987). Functional inactivation of genes by dominant negative mutations. Nature, 329(6136), 219–222. 10.1038/329219a0 [DOI] [PubMed] [Google Scholar]
- Karczewski, K. J. , Francioli, L. C. , Tiao, G. , Cummings, B. B. , Alföldi, J. , Wang, Q. , … MacArthur, D. G. (2019). Variation across 141,456 human exomes and genomes reveals the spectrum of loss‐of‐function intolerance across human protein‐coding genes. bioRXiv. 10.1101/531210 [DOI] [Google Scholar]
- Kelsell, D. P. , Dunlop, J. , Stevens, H. P. , Lench, N. J. , Liang, J. N. , Parry, G. , … Leigh, I. M. (1997). Connexin 26 mutations in hereditary non‐syndromic sensorineural deafness. Nature, 387(6628), 80–83. 10.1038/387080a0 [DOI] [PubMed] [Google Scholar]
- Li, H. , & Durbin, R. (2010). Fast and accurate long‐read alignment with Burrows‐Wheeler transform. Bioinformatics, 26(5), 589–595. 10.1093/bioinformatics/btp698 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Marziano, N. K. , Casalotti, S. O. , Portelli, A. E. , Becker, D. L. , & Forge, A. (2003). Mutations in the gene for connexin 26 (GJB2) that cause hearing loss have a dominant negative effect on connexin 30. Human Molecular Genetics, 12(8), 805–812. 10.1093/hmg/ddg076 [DOI] [PubMed] [Google Scholar]
- Mazzoli, M. , Van camp, G. , Newton, V. , Giarbini, N. , Declau, F. , & Parving, A. (2003). Recommendations for the description of genetic and audiological data for families with nonsyndromic hereditary hearing impairment. Audiological Medicine, 1, 148–150. 10.1080/16513860301713 [DOI] [Google Scholar]
- McKenna, A. , Hanna, M. , Banks, E. , Sivachenko, A. , Cibulskis, K. , Kernytsky, A. , … DePristo, M. A. (2010). The Genome Analysis Toolkit: A MapReduce framework for analyzing next‐generation DNA sequencing data. Genome Research, 20(9), 1297–1303. 10.1101/gr.107524.110 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mermall, V. , Post, P. L. , & Mooseker, M. S. (1998). Unconventional myosins in cell movement, membrane traffic, and signal transduction. Science, 279(5350), 527–533. 10.1126/science.279.5350.527 [DOI] [PubMed] [Google Scholar]
- Miyagawa, M. , Naito, T. , Nishio, S. Y. , Kamatani, N. , & Usami, S. (2013). Targeted exon sequencing successfully discovers rare causative genes and clarifies the molecular epidemiology of Japanese deafness patients. PLoS One, 8(8), e71381 10.1371/journal.pone.0071381 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ng, P. C. , & Henikoff, S. (2001). Predicting deleterious amino acid substitutions. Genome Research, 11(5), 863–874. 10.1101/gr.176601 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Oza, A. M. , DiStefano, M. T. , Hemphill, S. E. , Cushman, B. J. , Grant, A. R. , Siegert, R. K. , … Abou Tayoun, A. N. (2018). Expert specification of the ACMG/AMP variant interpretation guidelines for genetic hearing loss. Human Mutation, 39(11), 1593–1613. 10.1002/humu.23630 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pertea, M. , Lin, X. , & Salzberg, S. L. (2001). GeneSplicer: A new computational method for splice site prediction. Nucleic Acids Research, 29(5), 1185–1190. 10.1093/nar/29.5.1185 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Qu, R. , Sang, Q. , Xu, Y. , Feng, R. , Jin, L. , He, L. , & Wang, L. (2016). Identification of a novel homozygous mutation in MYO3A in a Chinese family with DFNB30 non‐syndromic hearing impairment. International Journal of Pediatric Otorhinolaryngology, 84, 43–47. 10.1016/j.ijporl.2016.02.036 [DOI] [PubMed] [Google Scholar]
- Quintero, O. A. , Moore, J. E. , Unrath, W. C. , Manor, U. , Salles, F. T. , Grati, M. , … Yengo, C. M. (2010). Intermolecular autophosphorylation regulates myosin IIIa activity and localization in parallel actin bundles. Journal of Biological Chemistry, 285(46), 35770–35782. 10.1074/jbc.M110.144360 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Reese, M. G. , Eeckman, F. H. , Kulp, D. , & Haussler, D. (1997). Improved splice site detection in Genie. Journal of Computational Biology, 4(3), 311–323. 10.1089/cmb.1997.4.311 [DOI] [PubMed] [Google Scholar]
- Roy, A. , Kucukural, A. , & Zhang, Y. (2010). I‐TASSER: A unified platform for automated protein structure and function prediction. Nature Protocols, 5(4), 725–738. 10.1038/nprot.2010.5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Salles, F. T. , Merritt, R. C. , Manor, U. , Dougherty, G. W. , Sousa, A. D. , Moore, J. E. , … Kachar, B. (2009). Myosin IIIa boosts elongation of stereocilia by transporting espin 1 to the plus ends of actin filaments. Nature Cell Biology, 11(4), 443–450. 10.1038/ncb1851 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schneider, M. E. , Dose, A. C. , Salles, F. T. , Chang, W. , Erickson, F. L. , Burnside, B. , & Kachar, B. (2006). A new compartment at stereocilia tips defined by spatial and temporal patterns of myosin IIIa expression. Journal of Neuroscience, 26(40), 10243–10252. 10.1523/JNEUROSCI.2812-06.2006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schwarz, J. M. , Cooper, D. N. , Schuelke, M. , & Seelow, D. (2014). MutationTaster2: Mutation prediction for the deep‐sequencing age. Nature Methods, 11(4), 361–362. 10.1038/nmeth.2890 [DOI] [PubMed] [Google Scholar]
- Shapiro, M. B. , & Senapathy, P. (1987). RNA splice junctions of different classes of eukaryotes: Sequence statistics and functional implications in gene expression. Nucleic Acids Research, 15(17), 7155–7174. 10.1093/nar/15.17.7155 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sommen, M. , Schrauwen, I. , Vandeweyer, G. , Boeckx, N. , Corneveaux, J. J. , van den Ende, J. , … Van Camp, G. (2016). DNA diagnostics of hereditary hearing loss: A targeted resequencing approach combined with a mutation classification system. Human Mutation, 37(8), 812–819. 10.1002/humu.22999 [DOI] [PubMed] [Google Scholar]
- Stenson, P. D. , Ball, E. V. , Mort, M. , Phillips, A. D. , Shiel, J. A. , Thomas, N. S. , … Cooper, D. N. (2003). Human Gene Mutation Database (HGMD): 2003 update. Human Mutation, 21(6), 577–581. 10.1002/humu.10212 [DOI] [PubMed] [Google Scholar]
- Untergasser, A. , Cutcutache, I. , Koressaar, T. , Ye, J. , Faircloth, B. C. , Remm, M. , & Rozen, S. G. (2012). Primer3–new capabilities and interfaces. Nucleic Acids Research, 40(15), e115 10.1093/nar/gks596 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vona, B. , Nanda, I. , Hofrichter, M. A. , Shehata‐Dieler, W. , & Haaf, T. (2015). Non‐syndromic hearing loss gene identification: A brief history and glimpse into the future. Molecular and Cellular Probes, 29(5), 260–270. 10.1016/j.mcp.2015.03.008 [DOI] [PubMed] [Google Scholar]
- Walsh, T. , Walsh, V. , Vreugde, S. , Hertzano, R. , Shahin, H. , Haika, S. , … Avraham, K. B. (2002). From flies' eyes to our ears: Mutations in a human class III myosin cause progressive nonsyndromic hearing loss DFNB30. Proceedings of the National Academy of Sciences of the United States of America, 99(11), 7518–7523. 10.1073/pnas.102091699 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Walsh, V. L. , Raviv, D. , Dror, A. A. , Shahin, H. , Walsh, T. , Kanaan, M. N. , … King, M.‐C. (2011). A mouse model for human hearing loss DFNB30 due to loss of function of myosin IIIA. Mammalian Genome, 22(3–4), 170–177. 10.1007/s00335-010-9310-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wu, C.‐C. , Lin, Y.‐H. , Liu, T.‐C. , Lin, K.‐N. , Yang, W.‐S. , Hsu, C.‐J. , … Wu, C.‐M. (2015). Identifying children with poor cochlear implantation outcomes using massively parallel sequencing. Medicine (Baltimore), 94(27), e1073 10.1097/MD.0000000000001073 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yang, J. , Yan, R. , Roy, A. , Xu, D. , Poisson, J. , & Zhang, Y. (2015). The I‐TASSER Suite: Protein structure and function prediction. Nature Methods, 12(1), 7–8. 10.1038/nmeth.3213 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yeo, G. , & Burge, C. B. (2004). Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals. Journal of Computational Biology, 11(2–3), 377–394. 10.1089/1066527041410418 [DOI] [PubMed] [Google Scholar]
- Zhang, Y. (2008). I‐TASSER server for protein 3D structure prediction. BMC Bioinformatics, 9, 40 10.1186/1471-2105-9-40 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Fig S1
Table S1
Table S2
Data Availability Statement
The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions. The variant was deposited in LOVD3 under variant ID 0000660455.
