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. 2014 Nov 14;37(4):616–621. doi: 10.1590/S1415-47572014005000025

c.G2114A MYH9 mutation (DFNA17) causes non-syndromic autosomal dominant hearing loss in a Brazilian family

Vitor GL Dantas 1, Karina Lezirovitz 1,2, Guilherme L Yamamoto 1, Carolina Fischinger Moura de Souza 3, Simone Gomes Ferreira 1, Regina C Mingroni-Netto 1,
PMCID: PMC4261959  PMID: 25505834

Abstract

We studied a family presenting 10 individuals affected by autosomal dominant deafness in all frequencies and three individuals affected by high frequency hearing loss. Genomic scanning using the 50k Affymetrix microarray technology yielded a Lod Score of 2.1 in chromosome 14 and a Lod Score of 1.9 in chromosome 22. Mapping refinement using microsatellites placed the chromosome 14 candidate region between markers D14S288 and D14S276 (8.85 cM) and the chromosome 22 near marker D22S283. Exome sequencing identified two candidate variants to explain hearing loss in chromosome 14 [PTGDR – c.G894A:p.R298R and PTGER2 – c.T247G:p.C83G], and one in chromosome 22 [MYH9, c.G2114A:p.R705H]. Pedigree segregation analysis allowed exclusion of the PTGDR and PTGER2 variants as the cause of deafness. However, the MYH9 variant segregated with the phenotype in all affected members, except the three individuals with different phenotype. This gene has been previously described as mutated in autosomal dominant hereditary hearing loss and corresponds to DFNA17. The mutation identified in our study is the same described in the prior report. Thus, although linkage studies suggested a candidate gene in chromosome 14, we concluded that the mutation in chromosome 22 better explains the hearing loss phenotype in the Brazilian family.

Keywords: DFNA17, MYH9 gene, Hearing loss

Introduction

According to the World Health Organization (WHO) almost 360 million people of all ages around the world have disabling hearing loss. Hearing loss can be caused by environmental factors, by genetic factors, or both. Hereditary hearing loss exhibits enormous heterogeneity of inheritance mechanisms, of chromosomal loci and of alleles in the same locus. Almost 70% of hereditary hearing loss cases do not display syndromic features (Keats and Berlin, 1999) and are thus called nonsyndromic. On the other hand, 30%, of cases are associated to syndromic features. About 80% of nonsyndromic hereditary hearing loss is due to autosomal recessive mechanisms (The Connexin Deafness Homepage), the autosomal dominant mechanism corresponds to 10–20% (Guilford et al., 1994), X-linked inheritance corresponds to 2–3% of the genetic cases of hearing loss (Van Camp et al., 1997) and the contribution of maternal inheritance was estimated to be near 1%. To date, about 170 loci have been mapped for nonsyndromic hearing loss and different types of mutations in 75 identified genes have been found in humans (http://hereditaryhearingloss.org/). Regarding autosomal dominant hearing loss, about 55 loci have been mapped and 29 genes have been identified.

Here we report linkage studies and mutation identification after massive parallel sequencing of the whole exome in a large Brazilian pedigree with autosomal dominant hearing loss.

Materials and Methods

Patients

This study was approved by the Comissão Nacional de Ética em Pesquisa (CONEP; Process number 25000.143724/2003-29). After written informed consent, samples from 10 individuals affected by postlingual progressive hearing loss in all frequencies, 10 unaffected individuals and three individuals affected by high frequency hearing loss from the same family were obtained (Figure 1). The family was ascertained in the city of Porto Alegre, RS, in southern Brazil. Audiological evaluation of the affected patients was conducted by different professionals and institutions.

Figure 1.

Figure 1

Pedigree and haplotype segregation of microsatellites in chromosome 14. Individuals with DNA samples collected are marked with the symbol (−). The proband is indicated by an arrow. Individuals with ? are affected by hearing loss only in high frequencies, with age of onset at 40 years. The mapped locus based on haplotype segregation is represented in red. Partially striped chromosomes probably resulted from a crossing over event.

DNA extraction

DNA was extracted from peripheral blood lymphocytes using commercial kits.

Linkage analysis

Genomic scanning was performed using the Affymetrix technologies SNP array 50k and analyzed with the softwares Genechip 3000 Scanner and GeneChip Command Console Software (Affymetrix, Santa Clara, CA, USA). Fluorescent-labeled microsatellites were analyzed in an Applied Biosystems 3730 DNA analyzer with the help of the software GeneMapper 4.0 (Applied Biosystems, Foster City, CA, USA) for genetic mapping refinement.

Lod score calculations

Merlin software (Abecasis et al., 2002) was used to calculate multiple point Lod scores for each autosome. The disease allele frequency was 0.0001 and allelic frequencies were calculated considering the genotype of the individuals from the family. Penetrance was assumed to be complete.

Array – CGH (Comparative Genomic Hybridization)

Array-CGH was performed in the index patient using a platform from Agilent Technologies (Agilent Technologies, Santa Clara, CA, USA) containing 180.000 oligonucleotides, as described by the manufacturer. Data were analyzed with Feature Extraction software and Genomic Workbench software (Agilent Technologies, Santa Clara, CA, USA). Gains and losses of genomic sequences were called using an aberration detection statistical algorithm ADM-2, with a sensitivity threshold of 6.7.

Massive parallel sequencing

DNA samples from three affected individuals were submitted to whole exome sequencing at Laboratório de Biotecnologia Animal (ESALQ-USP, Piracicaba, SP, Brazil). Libraries were prepared with an Illumina TruSeq library preparation kit (Illumina INC., San Diego, CA, USA.) Sequence capture was performed with Illumina Exome enrichment kit (∼62 Mb target size). Sequencing was performed with an Illumina HiSeq system with average read depths of 120x.

Fastq files were aligned to the human reference sequence (hg19) with BWA (Burrows-Wheeler Aligner; Li and Durbin, 2010) for the generation of the BAM files (Binary Alignment Map). Realignment of indel regions, variant detection and recalibration of base qualities were performed with BWA for the production of VCF files (Variant Call Format). Annotation was performed with Annovar (Wang et al., 2010). Variant frequencies were compared to the 1000 genomes and ESP6500 databases. PolyPhen2 (Adzhubei et al., 2010), SIFT (Kumar et al., 2009) and Mutationtaster (Schwarz et al., 2014) were used for in silico damage prediction to the protein.

PTGDR, PTGER2 and MYH9 exon analyses by Sanger sequencing

Primers for amplification of the exons of three candidate genes were designed with Primer3. PCR fragments were purified and directly sequenced in both strands using the ABI BigDye Terminator v3.1 Cycle Sequencing Kit and the ABI 3730 DNA Analyzer (Applied Biosystems, Foster City, CA, USA).

Results

Clinical findings

Hearing loss in this family can be described as progressive, bilateral, affecting all frequencies, with age of onset ranging from 1st to 5th decade of life. Figure 2 presents the audiogram of six affected individuals, with ages ranging from four to 43 years. Three affected individuals (II:1, II:5 and II:9) presented a distinct phenotype, since the age of onset was near 40 and hearing loss affects only high frequencies (audiogram shown in Figure 3) .

Figure 2.

Figure 2

Tonal audiometry showing thresholds for six affected individuals.

Figure 3.

Figure 3

Tonal audiometry showing thresholds for II–V, who presented hearing loss only in high frequencies and with onset near the age of 40.

Genetic mapping

Genomic scanning was performed with samples of seven affected individuals (proband, I:1, II:13, II:15, II:17, III:15, III:17); the three individuals with a distinct phenotype were not included. Data from SNP arrays were used in Lod score calculations. A Lod score peak of 2.1 at chromosome 14 and a Lod score peak of 1.9 in a region at chromosome 22 were obtained.

Using microsatellite data (Figure 3) obtained from 23 samples (10 affected individuals, 10 unaffected ones and the three individuals with a different phenotypic presentation considered as affected), a peak Lod score of 1.8 (Figure 4) was calculated for chromosome 14. In a second Lod score calculation, these three individuals were considered as unaffected and a peak Lod score of 1.5 was obtained.

Figure 4.

Figure 4

Multipoint Lod Scores (on the Y-axis) obtained with microsatellite data for chromosome 14. A) Individuals marked with ? in Figure 1 were considered unaffected in this calculation; B) Individuals marked with ? in Figure 1 were considered affected by the same genetic disorder in this calculation.

Regarding chromosome 22, the analysis using microsatellite data (Figure 5) from 23 samples (10 affected individuals, 10 unaffected ones and the three individuals with different phenotypic presentation considered as affected) revealed a Lod score of 0.8 (Figure 6). When these three individuals were considered as unaffected, a peak Lod score of 3.0 was obtained (Figure 6). A simulation of maximum possible Lod score in the pedigree was performed using Merlin, including the same set of samples, this resulting in a Lod score value of 4.2.

Figure 5.

Figure 5

Haplotype segregation of microsatellite data for chromosome 22. The proband is indicated by an arrow. Individuals with ? are affected by hearing loss only in high frequencies, with age of onset at 40 years. The mapped locus based on haplotype segregation is represented in red.

Figure 6.

Figure 6

Multipoint Lod Scores (on the Y-axis) obtained with microsatellite data for chromosome 22. A) Individuals marked with ? in Figure 5 were considered as unaffected in this calculation; B) Individuals marked with ? in Figure 5 were considered affected by the same genetic disorder in this calculation.

Array-CGH

A DNA sample from one affected individual (proband) was analyzed by Array-CGH and no pathogenic copy-number variation was detected.

Massive parallel sequencing

A total of 80.200.676 reads of 99pb each were generated, presenting an average coverage of 124x. All variants that were present in heterozygosis in the samples from the three affected individuals submitted to whole exome sequencing and that were not detected in the 17 control samples sequenced by the same method (controls from our own research center) were screened for quality and checked against the 1000 genomes public variant database and the 6500 exomes from Washington University. Only variants observed with frequencies lower than 1% and located in the mapped regions were selected for the study. Within the mapped chromosomal interval in chromosome 14, (D14S288 to D14S276), two missense variants (not described in 1000 genomes) within two genes PTGDR (c.G894A: p.R298R, position 52,741,496; NM_000953) and PTGER2 (c.T247G: p.C83G, position 52,781,513; NM_000956) were found. One variant within the MYH9 gene (c.G2114A:p.R705H, position 36,702,021; NM_002473) in the candidate chromosome 22 region was found (linked to D22S283). Polyphen2 predictions indicated a probability of being damaging of 1% for c.G894A in PTGDR, 100% for c.T247G in PTGER2 and 100% for c.G2114A in MYH9.

The three variants were, thus, selected for segregation studies. All 23 samples from the pedigree were screened by Sanger sequencing for the presence of the variants c.G894A, c.T247G and c.G2114A. The variants in PTGDR and PTGER2 genes did not segregate with the phenotype, but the variant in the MYH9 gene did so. The three individuals with the different phenotypic presentation carried the PTGDR and PTGER2 variants, but the MYH9 variant was not detected in any of their samples.

Discussion

At first, we considered the Lod score peak at chromosome 14, which had the highest value, as indicative of the location of the gene. There are three DFNAs (autosomal dominant hearing loss loci) already mapped to different regions in chromosome 14. DFNA9 is located at chromosomal region 14:31,343,740–31,359,821 and it was mapped by Manolis et al. (1996). Later on, Robertson et al. (1998) studied three different families affected by autosomal dominant hearing loss which mapped to DFNA9, and they found the COCH gene to be associated with hearing loss. DFNA53 is located at chromosomal region 14:19,100,000–33,300,000 and it was mapped by Yan et al. (2006). The DFNA53 locus overlaps with DFNA9, but since the authors were not able to find mutations in the COCH gene, the locus was considered distinct from DFNA 9. DFNA23 is located in chromosomal region 14: 61,110,132–61,124,977 and it was mapped by Salam et al. (2000), but the respective gene remains unknown. None of the three loci overlaps with the region at chromosome 14 mapped in our study, which made us suspect that a new locus was mapped. However, after segregation studies were performed with the variants identified after massive parallel exome sequencing, we came to the conclusion that the mutation that best explains the phenotype lies, in fact, in chromosome 22, in the MYH9 gene, which corresponds to DFNA17. This variant is not present in the three individuals with the distinct phenotype, who were, thus, considered to be either phenocopies or affected by another type of genetic hearing loss.

The locus DFNA17 in chromosome 22 has been mapped by Lalwani et al. (1999), who described a pedigree from a US family with 18 individuals affected by autosomal dominant hearing loss. Age of onset of the hearing loss was near 10 years. It started at high frequencies, becoming moderate to profound near the age of 30 years. Lalwani et al. (2000) investigated all genes in the DFNA17 locus by Sanger sequencing and identified MYH9 as a novel deafness gene. The variant c.G2114A (rs80338828), found by Lawlani et al. (2000), is the same variant we found in our study. MYH9 is a myosin that functions in actin bundles motility (Wilson et al., 2010). Hildebrand et al. (2006) investigated an Australian family presenting autosomal dominant hearing loss, and they found the same variant. The onset of hearing loss in this family was around the age of six, becoming severe to profound in the second or third decade of life. The clinical presentation observed in the family investigated by us is similar to the phenotype found in the two previously studied families, except that many of our patients noticed their hearing impairment around 20 years of age.

It is intriguing that a strong suggestion of linkage was also found in chromosome 14 in the first analysis, using SNP data only. But after microsatellite linkage studies with more individuals and considering II:1, II:5 and II:9 as unaffected, we realized that the evidence of linkage to chromosome 22 was stronger. It is worthy of note that the variants detected in the genes PTGDR and PTGER2 were found in the three individuals with different phenotypic presentation, and they all share a small region on chromosome 14. It is tempting to speculate that there could be other genetic features in chromosome 14 which could explain the hearing loss with a less severe phenotype in these individuals. Some affected individuals in the pedigree inherited both candidate haplotypes (in chromosome 14 and 22), but there are no significant differences in their phenotypes when compared to individuals who inherited only the MYH9 mutation. In fact, a particular allele for D14S275 marker was inherited by the three individuals with atypical phenotype and by nine individuals affected by severe hearing loss, which may have contributed to the high Lod score value obtained for chromosome 14 in this family.

Since the pedigree investigated by us is the third report of variant rs80338828 in the MYH9 gene being associated to autosomal dominant hearing loss, we came to the conclusion that this is the most likely cause of the hearing loss, although a secondary effect of genetic factors lying in chromosome 14 can not be completely ruled out.

Acknowledgments

We thank Dr. Erika Freitas and Dr. Carla Rosenberg for performing the array-CGH studies. We also thank Maria Teresa Balester de Mello Auricchio for technical assistance. We thank the Laboratório Multiusuários Centralizado de Genômica Funcional Aplicada à Agropecuária e Agroenergia – EASALQ-USP Piracicaba-SP-Brasil for providing the sequencing facilities. We thank CEPID -FAPESP and CAPES for financial support.

Footnotes

Associate Editor: Mara H. Hutz

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Internet Resources

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