UniqueSLC26A4Mutation Spectrum in Mongolian Patients with Enlarged Vestibular Aqueduct: A Whole-Exome Sequencing Study

preprint OA: closed
📄 Open PDF Full text JSON View at publisher
Full text 41,053 characters · extracted from preprint-html · click to expand
Unique SLC26A4 Mutation Spectrum in Mongolian Patients with Enlarged Vestibular Aqueduct: A Whole-Exome Sequencing Study | medRxiv /* */ /* */ <!-- <!-- /*! * yepnope1.5.4 * (c) WTFPL, GPLv2 */ (function(a,b,c){function d(a){return"[object Function]"==o.call(a)}function e(a){return"string"==typeof a}function f(){}function g(a){return!a||"loaded"==a||"complete"==a||"uninitialized"==a}function h(){var a=p.shift();q=1,a?a.t?m(function(){("c"==a.t?B.injectCss:B.injectJs)(a.s,0,a.a,a.x,a.e,1)},0):(a(),h()):q=0}function i(a,c,d,e,f,i,j){function k(b){if(!o&&g(l.readyState)&&(u.r=o=1,!q&&h(),l.onload=l.onreadystatechange=null,b)){"img"!=a&&m(function(){t.removeChild(l)},50);for(var d in y[c])y[c].hasOwnProperty(d)&&y[c][d].onload()}}var j=j||B.errorTimeout,l=b.createElement(a),o=0,r=0,u={t:d,s:c,e:f,a:i,x:j};1===y[c]&&(r=1,y[c]=[]),"object"==a?l.data=c:(l.src=c,l.type=a),l.width=l.height="0",l.onerror=l.onload=l.onreadystatechange=function(){k.call(this,r)},p.splice(e,0,u),"img"!=a&&(r||2===y[c]?(t.insertBefore(l,s?null:n),m(k,j)):y[c].push(l))}function j(a,b,c,d,f){return q=0,b=b||"j",e(a)?i("c"==b?v:u,a,b,this.i++,c,d,f):(p.splice(this.i++,0,a),1==p.length&&h()),this}function k(){var a=B;return a.loader={load:j,i:0},a}var l=b.documentElement,m=a.setTimeout,n=b.getElementsByTagName("script")[0],o={}.toString,p=[],q=0,r="MozAppearance"in l.style,s=r&&!!b.createRange().compareNode,t=s?l:n.parentNode,l=a.opera&&"[object Opera]"==o.call(a.opera),l=!!b.attachEvent&&!l,u=r?"object":l?"script":"img",v=l?"script":u,w=Array.isArray||function(a){return"[object Array]"==o.call(a)},x=[],y={},z={timeout:function(a,b){return b.length&&(a.timeout=b[0]),a}},A,B;B=function(a){function b(a){var a=a.split("!"),b=x.length,c=a.pop(),d=a.length,c={url:c,origUrl:c,prefixes:a},e,f,g;for(f=0;f<d;f++)g=a[f].split("="),(e=z[g.shift()])&&(c=e(c,g));for(f=0;f<b;f++)c=x[f](c);return c}function g(a,e,f,g,h){var i=b(a),j=i.autoCallback;i.url.split(".").pop().split("?").shift(),i.bypass||(e&&(e=d(e)?e:e[a]||e[g]||e[a.split("/").pop().split("?")[0]]),i.instead?i.instead(a,e,f,g,h):(y[i.url]?i.noexec=!0:y[i.url]=1,f.load(i.url,i.forceCSS||!i.forceJS&&"css"==i.url.split(".").pop().split("?").shift()?"c":c,i.noexec,i.attrs,i.timeout),(d(e)||d(j))&&f.load(function(){k(),e&&e(i.origUrl,h,g),j&&j(i.origUrl,h,g),y[i.url]=2})))}function h(a,b){function c(a,c){if(a){if(e(a))c||(j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}),g(a,j,b,0,h);else if(Object(a)===a)for(n in m=function(){var b=0,c;for(c in a)a.hasOwnProperty(c)&&b++;return b}(),a)a.hasOwnProperty(n)&&(!c&&!--m&&(d(j)?j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}:j[n]=function(a){return function(){var b=[].slice.call(arguments);a&&a.apply(this,b),l()}}(k[n])),g(a[n],j,b,n,h))}else!c&&l()}var h=!!a.test,i=a.load||a.both,j=a.callback||f,k=j,l=a.complete||f,m,n;c(h?a.yep:a.nope,!!i),i&&c(i)}var i,j,l=this.yepnope.loader;if(e(a))g(a,0,l,0);else if(w(a))for(i=0;i (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0];var j=d.createElement(s);var dl=l!='dataLayer'?'&l='+l:'';j.src='//www.googletagmanager.com/gtm.js?id='+i+dl;j.type='text/javascript';j.async=true;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-P4HH5NV'); Skip to main content Home About Submit ALERTS / RSS Search for this keyword Advanced Search Unique SLC26A4 Mutation Spectrum in Mongolian Patients with Enlarged Vestibular Aqueduct: A Whole-Exome Sequencing Study Jargalkhuu Erdenechuluun , Bayasgalan Gombojav , Tserendulam Batsaikan , Yue-Sheng Lu , Narandalai Danshiitsoodol , Zaya Makhbal , Maralgoo Jargalmaa , Tuvshinbayar Jargalkhuu , Ho-Peng Hsu , Pei-Hsuan Lin , Hung-Ju Su , Chien-Hsing Lin , View ORCID Profile Chuan-Jen Hsu , View ORCID Profile Pei-Lung Chen , View ORCID Profile Cheng-Yu Tsai , View ORCID Profile Chen-Chi Wu doi: https://doi.org/10.1101/2025.02.03.25321220 Jargalkhuu Erdenechuluun 1 Department of Otolaryngology, School of Medicine, Mongolian National University of Medical Sciences , Ulaanbaatar, Mongolia 2 The EMJJ Otolaryngology Hospital , Ulaanbaatar, Mongolia Find this author on Google Scholar Find this author on PubMed Search for this author on this site Bayasgalan Gombojav 3 Department of Epidemiology and Biostatistics, School of Public Health, Mongolian National University of Medical Sciences , Ulaanbaatar, Mongolia 4 The MetaMed Clinic , Ulaanbaatar, Mongolia 5 International Cyber Education Center, Graduate School, Mongolian National University of Medical Sciences , Ulaanbaatar, Mongolia Find this author on Google Scholar Find this author on PubMed Search for this author on this site Tserendulam Batsaikan 2 The EMJJ Otolaryngology Hospital , Ulaanbaatar, Mongolia 5 International Cyber Education Center, Graduate School, Mongolian National University of Medical Sciences , Ulaanbaatar, Mongolia Find this author on Google Scholar Find this author on PubMed Search for this author on this site Yue-Sheng Lu 6 Department of Otolaryngology, National Taiwan University Hospital , 100225 Taipei, Taiwan 7 Institute of Molecular Medicine, National Taiwan University College of Medicine , 100225 Taipei, Taiwan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Narandalai Danshiitsoodol 8 Department of Probiotic Sciences for Preventive Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University , Hiroshima, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Zaya Makhbal 2 The EMJJ Otolaryngology Hospital , Ulaanbaatar, Mongolia 5 International Cyber Education Center, Graduate School, Mongolian National University of Medical Sciences , Ulaanbaatar, Mongolia Find this author on Google Scholar Find this author on PubMed Search for this author on this site Maralgoo Jargalmaa 2 The EMJJ Otolaryngology Hospital , Ulaanbaatar, Mongolia 5 International Cyber Education Center, Graduate School, Mongolian National University of Medical Sciences , Ulaanbaatar, Mongolia Find this author on Google Scholar Find this author on PubMed Search for this author on this site Tuvshinbayar Jargalkhuu 2 The EMJJ Otolaryngology Hospital , Ulaanbaatar, Mongolia 5 International Cyber Education Center, Graduate School, Mongolian National University of Medical Sciences , Ulaanbaatar, Mongolia Find this author on Google Scholar Find this author on PubMed Search for this author on this site Ho-Peng Hsu 6 Department of Otolaryngology, National Taiwan University Hospital , 100225 Taipei, Taiwan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Pei-Hsuan Lin 6 Department of Otolaryngology, National Taiwan University Hospital , 100225 Taipei, Taiwan 9 Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine , 100229 Taipei, Taiwan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Hung-Ju Su 10 Phalanx Biotech Inc. , 302401 Hsinchu, Taiwan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Chien-Hsing Lin 10 Phalanx Biotech Inc. , 302401 Hsinchu, Taiwan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Chuan-Jen Hsu 6 Department of Otolaryngology, National Taiwan University Hospital , 100225 Taipei, Taiwan 11 Department of Otolaryngology, Buddhist Tzuchi General Hospital , 427003 Taichung, Taiwan Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Chuan-Jen Hsu Pei-Lung Chen 7 Institute of Molecular Medicine, National Taiwan University College of Medicine , 100225 Taipei, Taiwan 9 Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine , 100229 Taipei, Taiwan 12 Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University , 100233 Taipei, Taiwan 13 Department of Medical Genetics, National Taiwan University Hospital , 100226 Taipei, Taiwan Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Pei-Lung Chen Cheng-Yu Tsai 6 Department of Otolaryngology, National Taiwan University Hospital , 100225 Taipei, Taiwan Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Cheng-Yu Tsai For correspondence: leontsai9139{at}ntu.edu.tw chenchiwu{at}ntuh.gov.tw Chen-Chi Wu 6 Department of Otolaryngology, National Taiwan University Hospital , 100225 Taipei, Taiwan 9 Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine , 100229 Taipei, Taiwan 14 Department of Medical Research, National Taiwan University Hospital Hsin-Chu Branch , Hsinchu 302041, Taiwan 15 Department of Otolaryngology, National Taiwan University Hospital Hsin-Chu Branch , Hsinchu 302041, Taiwan Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Chen-Chi Wu For correspondence: leontsai9139{at}ntu.edu.tw chenchiwu{at}ntuh.gov.tw Abstract Full Text Info/History Metrics Data/Code Preview PDF Abstract Background Enlarged vestibular aqueduct (EVA) is a common inner ear malformation that can cause sensorineural hearing loss. It is frequently associated with mutations in the SLC26A4 gene. This study aimed to investigate the genetic basis of hearing loss in Mongolian patients with EVA. Methods Whole exome sequencing was performed in 19 Mongolian patients from 15 unrelated families diagnosed with EVA with/without cochlear incomplete partition type II. All patients underwent high-resolution computed tomography of the temporal bone to confirm the diagnosis. Results Biallelic SLC26A4 pathogenic variants were identified in all 15 families (100%). The most frequent variant was c.919-2A>G (40%), followed by c.2027T>A (23.3%) and c.1318A>T (16.7%). Population-specific variants in East Asians (c.919-2A>G), North Asians (c.2027T>A), and Southwest Asians (c.716T>A) were all present in Mongolian patients, demonstrating a panethnic mutation spectrum. Digenic inheritance was not observed. There was no clear genotype-phenotype correlation between specific SLC26A4 genotypes and hearing levels or inner ear malformations. Conclusions This study provides a comprehensive overview of the genetic landscape of EVA in the Mongolian population. The identification of biallelic SLC26A4 pathogenic variants in all families highlights the importance of this gene in the pathogenesis of EVA. The unique mutation spectrum observed in this study may reflect the genetic diversity resulting from historical migrations of Mongolians. Introduction Sensorineural hearing loss (SNHL) affects an estimated 34 million children globally [ 1 ]. Approximately half of these cases are attributed to genetic factors [ 2 , 3 ]. Recessive variants in the SLC26A4 gene are the second most common cause of genetic hearing loss worldwide after GJB2 [ 4 ]. This gene, located on chromosome 7 [ 5 ], encodes the pendrin protein, which is responsible for anion exchange in the inner ear [ 6 - 8 ], thyroid, and kidneys [ 5 , 9 ]. Pathogenic variants in SLC26A4 can cause autosomal recessive non-syndromic SNHL, DFNB4 (OMIM #600791) [ 10 , 11 ] or Pendred syndrome (PS, OMIM #605646) [ 12 - 14 ]. DFNB4 is characterized by inner ear malformations, including enlarged vestibular aqueduct (EVA) and cochlear incomplete partition type II (IP-II). PS presents with similar inner ear malformations, but also includes thyroid goiter with iodine organification defect [ 11 , 15 ]. To date, approximately 600 pathogenic or likely pathogenic variants in the SLC26A4 gene have been documented in the variant databases ClinVar [ 16 ] and DVD [ 17 ] (last accessed on January 25, 2025). Different ethnic populations harbor different SLC26A4 founder variants and mutation spectra [ 18 ]. For example, c.1246A>C (p.T416P) and c.1001G>A (p.G334E) are the predominant pathogenic variants in Caucasian populations, c.2168A>G (p.H723R) is prevalent in Japanese and Korean populations, whereas c.919-2A>G is most common in Han Chinese and Taiwanese populations [ 19 - 23 ]. In our previous study in 2018, we applied hot spot mutation screening in a Mongolian cohort of 188 SNHL patients and identified a unique GJB2 mutation spectrum in Mongolian patients, which was significantly different from other Asian and European populations [ 24 ]. However, the information on SLC26A4 mutations in Mongolian patients was rather limited at that time due to the unavailability of comprehensive sequencing tools (e.g., next-generation sequencing) and the lack of sophisticated phenotypic characterization (e.g., imaging studies in the hearing impaired patients). Recent advances in sequencing technology and increased accessibility of temporal bone imaging have facilitated more comprehensive genetic testing and phenotypic characterization of SNHL in Mongolia. This study re-examines the genetic landscape of SLC26A4 variants in a Mongolian cohort confirmed with EVA on imaging studies using whole-exome sequencing (WES) to provide a more detailed understanding of the mutational spectrum within this population. Materials and Methods Subjects Nineteen Mongolian patients from 15 unrelated families diagnosed with EVA with/without cochlear IP-II, as confirmed by high-resolution computed tomography (HRCT) imaging of the temporal bone, were recruited between 2022 and 2024. All participants provided written informed consent for genetic testing before undergoing WES. This study was approved by the research ethics committees of the National Taiwan University Hospital (NTUH) (202007065RINB) and the EMJJ Otolaryngology Hospital of Mongolia (Medical Ethics Committee of the Ministry of Health, Mongolia; No: 23/065). Clinical examinations Detailed clinical data were collected from the proband and affected members of each family, including a comprehensive family history, personal medical history, and physical examination. Audiological evaluations were performed using pure-tone audiograms or auditory brainstem response (ABR), depending on the age or neurological status. Hearing levels were determined by averaging the air conduction thresholds at 0.5, 1, 2, and 4 kHz from both ears. Hearing levels were then classified as mild [26-40 decibel hearing level (dBHL)], moderate (41-60 dBHL), severe (61-80 dBHL), or profound (>81 dBHL) [ 25 ]. HRCT of the temporal bone with 1 mm contiguous axial and coronal sections was performed to evaluate the structure of the inner ear [ 26 ]. Genetic sequencing and analysis Genomic DNA was extracted from dried blood spot samples from each participant. WES was performed using the NovaSeq 6000 platform (Illumina Inc., San Diego, CA, USA). Detailed procedures for sample preparation and WES data processing are described in our previous study [ 27 ]. Identification of causative variants was based on several factors: minor allele frequency (MAF) of less than 1% in the gnomAD population database [ 28 ], correlation with patient phenotypes and medical records, and evidence from disease databases such as ClinVar [ 16 ] and the Deafness Variation Database (DVD) (version 9) [ 17 ]. Pathogenicity was assessed using a variety of prediction tools, including CADD (version 1.4) for all variant types; Sorting Intolerant From Tolerant (SIFT) (version 2019) [ 29 ] and Polymorphism Phenotyping v2 (PolyPhen-2) [ 30 ] for missense variants; and SpliceAI (version 1.3) [ 31 ] for intronic variants. Pathogenicity classification was performed according to the American College of Medical Genetics and Genomics (ACMG) guidelines [ 32 ]. Statistical Analysis Continuous variables are presented as mean ± standard deviation and were compared using the Wilcoxon signed-rank test. Categorical variables are presented as numbers and percentages and were analyzed using Fisher’s exact test. Statistical significance was defined as a p-value < 0.05. All statistical analyses were performed using R version 4.4.1 (Race for Your Life). Results A total of 19 patients with EVA alone (n = 4) or combined with IP-II (n = 15) were recruited. The mean age was 8.2 years old, ranging from 2 to 16 years old. The gender distribution was 8 males (42.1%) and 11 females (57.9%). Four children (21.1%) had EVA alone with normal cochlear partition, while 15 (78.9%) had IP-II additionally. All participants had bilateral SNHL, with five children (26.3 %) having severe SNHL and fourteen children (73.7 %) having profound SNHL. All probands of the 15 unrelated Mongolian families were confirmed to carry bi-allelic SLC26A4 pathogenic variants ( Table 2 ). These variants were either homozygous or compound heterozygous. The most common variant was c.919-2A>G, found in 12 out of 30 alleles (40%). The second most common variant was c.2027T>A (p.L676Q), found in 7 out of 30 alleles (23.3%). Other variants such as c.1318A>T (p.K440X), c.281C>T (p.T94I), c.716T>A (p.V239D), c.1229C>T (p.T410M), c.1547dup (p.S517FfsX10), c.1975G>C (p.V659L), and c.2089+1G>A were also identified. View this table: View inline View popup Download powerpoint Table 1. Demographic data of the 19 Mongolian patients View this table: View inline View popup Download powerpoint Table 2. SLC26A4 genotypes, hearing levels, and imaging features of the 19 Mongolian patients Among the 19 patients, 7 segregated homozygous variants: three individuals (patients 1-I, 1-2, and 11) with homozygous c.919-2A>G; three individuals (patient 13-I, 13-II, and 13-III) with homozygous c.1318A>T; and one individual (patient 6) with homozygous c.2027T>A. The remaining 12 patients segregated compound heterozygous SLC26A4 variants. There is no clear correlation between specific SLC26A4 genotypes and the level of hearing loss. Individuals with the same genotype, such as c.919-2A>G homozygotes, may have either profound or severe hearing loss. Notably, two boys aged in 11-15 years (Patient 11, SLC26A4 :c.[919-2A>G];[919-2A>G]) and 6-10 years (Patient 12, SLC26A4 :c.[919-2A>G];[2027T>A]) were born with normal hearing that subsequently deteriorated. This suggests that other factors, in addition to the SLC26A4 genotype, may contribute to the variability in hearing loss levels. Similarly, there is no clear correlation between specific SLC26A4 genotypes and inner ear malformations. While some genotypes are exclusively associated with EVA alone, the small sample size and the presence of overlapping genotypes limit definitive conclusions. Discussion In this study, we investigated the genetic basis of hearing loss in Mongolian patients with EVA with/without IP-II. We performed WES on 15 unrelated families and identified bi-allelic SLC26A4 pathogenic variants in all of them (100%). The most prevalent variant was c.919-2A>G (40%), followed by c.2027T>A (23.3%) and c.1318A>T (16.7%). The mutation spectrum of SLC26A4 in our cohort showed unique characteristics compared to other populations. The c.919-2A>G variant, which is prevalent in East Asians, was also the most common in our study. In addition, we found the c.2027T>A variant, which is common in North Asians such as Tuvinian and Altai patients [ 33 ], and the rare c.716T>A variant, which was previously reported in Iranians [ 13 , 34 , 35 ]. This pan-ethnic spectrum may reflect the genetic diversity resulting from the historical migrations of the Mongols. Notably, the c.2168A>G variant, which is common in Japanese [ 21 ] and Korean [ 22 ] populations, was not detected in our cohort. Our study achieved a high diagnostic yield (100%) for bi-allelic SLC26A4 variants in Mongolian patients with EVA. Previous studies by Tsukamoto et al. [ 21 ] and Park et al. [ 22 ] showed that approximately 80% of EVA patients in Japanese and Korean populations were identified with bi-allelic pathogenic SLC26A4 variants, 10% with mono-allelic pathogenic variants, and 10% with no detected variants. Similar studies conducted in European and North American populations showed that 25% of EVA patients had bi-allelic pathogenic SLC26A4 variants, 25% had mono-allelic variants, and the remaining 50% had no detected pathogenic variants [ 36 , 37 ]. Taken together, the diagnostic yield in our study is slightly higher than in other East Asian series and significantly higher than in the Caucasian series. In addition to the ethnic differences, the high diagnostic yield in our study could be attributed to the use of WES, which allows the detection of a wider range of variants compared to conventional hotspot sequencing. Digenic inheritance, in which a mono-allelic SLC26A4 variant is combined with another variant in genes such as FOXI1 [ 38 ], KCNJ10 [ 39 ], or EPHA2 [ 40 ], has been proposed as a possible cause of DFNB4 and PS. However, we did not find any cases of digenic inheritance in our cohort. All patients with confirmed variants had bi-allelic SLC26A4 mutations, and no pathogenic or likely pathogenic variants in FOXI1, KCNJ10 , or EPHA2 were detected. This suggests that digenic inheritance may play a less important role in the Mongolian population compared to other populations. In this study, we did not observe clear correlations between specific SLC26A4 genotypes and hearing features or inner ear malformations. Previous literature has investigated the association between specific SLC26A4 genotypes and phenotypic variability, including the presence of Pendred syndrome and the severity of hearing loss. It has been reported that Pendred syndrome is more likely to be associated with biallelic SLC26A4 variants than DFNB4 [ 15 ]. Certain SLC26A4 genotypes have also been associated with less severe hearing loss [ 41 , 42 ]. However, most other studies have not found a clear genotype-phenotype correlation [ 43 - 45 ]. This may be due to the allelic heterogeneity of SLC26A4 , as many different SLC26A4 variants have been identified and their effects on protein function may vary. In addition, environmental factors such as head trauma or exposure to loud noise may also contribute to hearing loss in individuals with SLC26A4 variants [ 46 , 47 ]. To our knowledge, this study is the first to comprehensively investigate the genetic landscape of EVA in the Mongolian population. Our use of WES allowed the detection of both common and rare variants, providing valuable insights into the genetic diversity of this population. The identification of a unique pan-ethnic mutational spectrum, including the c.2027T>A variant commonly found in North Asian populations and the c.716T>A variant previously reported in Southwest Asian populations, highlights the potential influence of historical migrations on the genetic makeup of Mongolians. However, our study is limited by its small sample size, which may prevent the detection of additional variants contributing to EVA in this population, as well as the delineation of genotype-phenotype correlations. Further studies with larger cohorts are needed to fully elucidate the genetic complexity of hereditary hearing impairment in Mongolians. Conclusion This study provides a comprehensive overview of the genetic landscape of EVA in the Mongolian population. The identification of biallelic SLC26A4 pathogenic variants in all families highlights the importance of this gene in the pathogenesis of EVA. The unique mutation spectrum observed in this study may reflect the genetic diversity resulting from historical migrations of Mongolians. Further studies with larger cohorts are needed to fully elucidate the genetic complexity of EVA in this population. Data Availability All data produced in the present study are available upon reasonable request to the authors. Ethical approval and consent to participate The study was approved by the NTUH Research Ethics Committee (202007065RINB) and EMJJ Otolaryngology Hospital of Mongolia (Medical Ethics Committee of the Ministry of Health, Mongolia (No: 23/065)). Informed consent was obtained from all participants and/or their legal guardians. Availability of data and materials The datasets used and/or analyzed during the current study are available from the corresponding authors on reasonable request. Competing interests The authors declare that they have no competing interests. Funding This study was supported by research grants from the National Science and Technology Council of the Executive Yuan of Taiwan (NSTC 110-2923-B-002-001-MY3, Chen-Chi Wu), the Hsinchu Science Park Bureau (B113007, Chen-Chi Wu), the National Health Research Institutes (NHRI-EX113-11311PI, Chen-Chi Wu), and the Mongolian Foundation for Sciences and Technology (TWN2020/002, Jargalkhuu Erdenechuluun). Authors’ contributions (CRediT author statement) Conceptualization: Jargalkhuu Erdenechuluun , Bayasgalan Gombojav Methodology: Bayasgalan Gombojav, Cheng-Yu Tsai, Chien-Hsing Lin Software: Bayasgalan Gombojav Validation: Yue-Sheng Lu, Ho-Peng Hsu Formal analysis: Jargalkhuu Erdenechuluun, Bayasgalan Gombojav , Tserendulam Batsaikhan, Zaya Makhbal, Narandalai Danshiitsoodol, Maralgoo , Jargalmaa, Tuvshinbayar Jargalkhuu Investigation: Tserendulam Batsaikhan, Cheng-Yu Tsai Resources: Pei-Hsuan Lin, Hung-Ju Su, Chuan-Jen Hsu, Pei-Lung Chen Data Curation: Jargalkhuu Erdenechuluun, Bayasgalan Gombojav, Tserendulam Batsaikhan Writing (Original Draft): Jargalkhuu Erdenechuluun, Bayasgalan Gombojav, Tserendulam Batsaikhan Writing (Review/Editing): Bayasgalan Gombojav, Tserendulam Batsaikhan, Cheng-Yu Tsai, Chen-Chi Wu Visualization: Jargalkhuu Erdenechuluun, Bayasgalan Gombojav Supervision: Jargalkhuu Erdenechuluun, Chen-Chi Wu Project administration: Cheng-Yu Tsai, Yue-Sheng Lu, Ho-Peng Hsu, Tserendulam Batsaikhan Zaya Makhbal, Maralgoo , Jargalmaa Funding acquisition: Chen-Chi Wu, Jargalkhuu Erdenechuluun Acknowledgements We sincerely thank the A1 Laboratory of Genetic Testing at the National Taiwan University Hospital and Phalanx Biotech Inc. for their invaluable experimental and technical support. We would also like to thank all the participating subjects and their families for their generous contributions to this study. References 1. ↵ World Health Organization , Deafness and hearing loss . 2024 . 2. ↵ Morton , C.C. and W.E. Nance , Newborn hearing screening—a silent revolution . New England Journal of Medicine , 2006 . 354 ( 20 ): p. 2151 – 2164 . OpenUrl CrossRef PubMed Web of Science 3. ↵ Al-Ani , R.M. , Various aspects of hearing loss in newborns: A narrative review . World Journal of Clinical Pediatrics , 2023 . 12 ( 3 ): p. 86 . OpenUrl PubMed 4. ↵ Sakuma , N. , et al. , An effective screening strategy for deafness in combination with a next-generation sequencing platform: a consecutive analysis . Journal of human genetics , 2016 . 61 ( 3 ): p. 253 – 261 . OpenUrl PubMed 5. ↵ Danilchenko , V.Y. , et al. , Selection of diagnostically significant regions of the SLC26A4 gene involved in hearing loss . International Journal of Molecular Sciences , 2022 . 23 ( 21 ): p. 13453 . OpenUrl PubMed 6. ↵ Dossena , S. , et al. , Functional characterization of wild-type and mutated pendrin (SLC26A4), the anion transporter involved in Pendred syndrome . Journal of molecular endocrinology , 2009 . 43 ( 3 ): p. 93 – 103 . OpenUrl Abstract / FREE Full Text 7. Alper , S.L. and A.K. Sharma , The SLC26 gene family of anion transporters and channels . Molecular aspects of medicine , 2013 . 34 ( 2-3 ): p. 494 – 515 . OpenUrl CrossRef PubMed Web of Science 8. ↵ Pera , A. , et al. , Functional assessment of allelic variants in the SLC26A4 gene involved in Pendred syndrome and nonsyndromic EVA . Proceedings of the National Academy of Sciences , 2008 . 105 ( 47 ): p. 18608 – 18613 . OpenUrl Abstract / FREE Full Text 9. ↵ Albert , S. , et al. , SLC26A4 gene is frequently involved in nonsyndromic hearing impairment with enlarged vestibular aqueduct in Caucasian populations . European journal of human genetics , 2006 . 14 ( 6 ): p. 773 – 779 . OpenUrl CrossRef PubMed Web of Science 10. ↵ Klarov , L.A. , et al. , Analysis of SLC26A4, FOXI1, and KCNJ10 gene variants in patients with incomplete partition of the cochlea and enlarged vestibular aqueduct (EVA) anomalies . International Journal of Molecular Sciences , 2022 . 23 ( 23 ): p. 15372 . OpenUrl PubMed 11. ↵ Honda , K. and A.J. Griffith , Genetic architecture and phenotypic landscape of SLC26A4-related hearing loss . Human genetics , 2022 . 141 ( 3 ): p. 455 – 464 . OpenUrl PubMed 12. ↵ Kim , M.-A. , et al. , Gene therapy for hereditary hearing loss by SLC26A4 mutations in mice reveals distinct functional roles of pendrin in normal hearing . Theranostics , 2019 . 9 ( 24 ): p. 7184 . OpenUrl CrossRef PubMed 13. ↵ Park , H. , et al. , Origins and frequencies of SLC26A4 (PDS) mutations in east and south Asians: global implications for the epidemiology of deafness . Journal of medical genetics , 2003 . 40 ( 4 ): p. 242 – 248 . OpenUrl Abstract / FREE Full Text 14. ↵ Bassot , C. , et al. , Mapping pathogenic mutations suggests an innovative structural model for the pendrin (SLC26A4) transmembrane domain . Biochimie , 2017 . 132 : p. 109 – 120 . OpenUrl CrossRef PubMed 15. ↵ Ito , T. , et al. , SLC26A4 genotypes and phenotypes associated with enlargement of the vestibular aqueduct . Cellular Physiology and Biochemistry , 2011 . 28 ( 3 ): p. 545 – 552 . OpenUrl CrossRef PubMed 16. ↵ Landrum , M.J. , et al. , ClinVar: public archive of interpretations of clinically relevant variants . Nucleic acids research , 2016 . 44 ( D1 ): p. D862 – D868 . OpenUrl CrossRef PubMed 17. ↵ Azaiez , H. , et al. , Genomic landscape and mutational signatures of deafness-associated genes . The American Journal of Human Genetics , 2018 . 103 ( 4 ): p. 484 – 497 . OpenUrl CrossRef PubMed 18. ↵ Tsukada , K. , et al. , Ethnic-specific spectrum of GJB2 and SLC26A4 mutations: their origin and a literature review . Annals of Otology, Rhinology & Laryngology , 2015 . 124 ( 1_suppl ): p. 61S – 76S . OpenUrl 19. ↵ Campbell , C. , et al. , Pendred syndrome, DFNB4, and PDS/SLC26A4 identification of eight novel mutations and possible genotype–phenotype correlations . Human mutation , 2001 . 17 ( 5 ): p. 403 – 411 . OpenUrl CrossRef PubMed Web of Science 20. Coyle , B. , et al. , Molecular analysis of the PDS gene in Pendred syndrome (sensorineural hearing loss and goitre) . Human Molecular Genetics , 1998 . 7 ( 7 ): p. 1105 – 1112 . OpenUrl CrossRef PubMed Web of Science 21. ↵ Tsukamoto , K. , et al. , Distribution and frequencies of PDS (SLC26A4) mutations in Pendred syndrome and nonsyndromic hearing loss associated with enlarged vestibular aqueduct: a unique spectrum of mutations in Japanese . European journal of human genetics , 2003 . 11 ( 12 ): p. 916 – 922 . OpenUrl CrossRef PubMed Web of Science 22. ↵ Park , H.J. , et al. , Genetic basis of hearing loss associated with enlarged vestibular aqueducts in Koreans . Clinical genetics , 2005 . 67 ( 2 ): p. 160 – 165 . OpenUrl CrossRef PubMed Web of Science 23. ↵ Wu , C.C. , et al. , Prevalent SLC26A4 mutations in patients with enlarged vestibular aqueduct and/or Mondini dysplasia: a unique spectrum of mutations in Taiwan, including a frequent founder mutation . The Laryngoscope , 2005 . 115 ( 6 ): p. 1060 – 1064 . OpenUrl CrossRef PubMed Web of Science 24. ↵ Erdenechuluun , J. , et al. , Unique spectra of deafness-associated mutations in Mongolians provide insights into the genetic relationships among Eurasian populations . PLoS One , 2018 . 13 ( 12 ): p. e0209797 . OpenUrl PubMed 25. ↵ Organization, W.H ., International Classification of Functioning, Disability, and Health: Children & Youth Version: ICF-CY . 2007 : World Health Organization . 26. ↵ Sennaroğlu , L. and M.D. Bajin , Classification and current management of inner ear malformations . Balkan medical journal , 2017 . 34 ( 5 ): p. 397 – 411 . OpenUrl CrossRef PubMed 27. ↵ Gombojav , B. , et al. , Genetic Basis of Hearing Loss in Mongolian Patients: A Next-Generation Sequencing Study . Genes , 2024 . 15 ( 9 ): p. 1227 . OpenUrl 28. ↵ Karczewski , K.J. , et al. , The mutational constraint spectrum quantified from variation in 141,456 humans . Nature , 2020 . 581 ( 7809 ): p. 434 – 443 . OpenUrl CrossRef PubMed 29. ↵ Ng , P.C. and S. Henikoff , SIFT: Predicting amino acid changes that affect protein function . Nucleic acids research , 2003 . 31 ( 13 ): p. 3812 – 3814 . OpenUrl CrossRef PubMed Web of Science 30. ↵ Adzhubei , I.A. , et al. , A method and server for predicting damaging missense mutations . Nature methods , 2010 . 7 ( 4 ): p. 248 – 249 . OpenUrl PubMed 31. ↵ Jaganathan , K. , et al. , Predicting splicing from primary sequence with deep learning . Cell , 2019 . 176 ( 3 ): p. 535 - 548 . e24. OpenUrl CrossRef PubMed 32. ↵ Richards , S. , 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 ( 5 ): p. 405 – 423 . OpenUrl CrossRef PubMed 33. ↵ Danilchenko , V.Y. , et al. , Different rates of the SLC26A4-related hearing loss in two indigenous peoples of southern Siberia (Russia) . Diagnostics , 2021 . 11 ( 12 ): p. 2378 . OpenUrl PubMed 34. ↵ Tekin , M. , et al. , Screening the SLC26A4 gene in probands with deafness and goiter (Pendred syndrome) ascertained from a large group of students of the schools for the deaf in Turkey . Clinical genetics , 2003 . 64 ( 4 ). 35. ↵ Azadegan-Dehkordi , F. , et al. , A novel variant of SLC26A4 and first report of the c. 716T> A variant in Iranian pedigrees with non-syndromic sensorineural hearing loss . American Journal of Otolaryngology , 2018 . 39 ( 6 ): p. 719 – 725 . OpenUrl PubMed 36. ↵ Choi , B.Y. , et al. , Segregation of enlarged vestibular aqueducts in families with non-diagnostic SLC26A4 genotypes . Journal of medical genetics , 2009 . 46 ( 12 ): p. 856 – 861 . OpenUrl Abstract / FREE Full Text 37. ↵ Pryor , S.P. , et al. , Investigation of the role of congenital cytomegalovirus infection in the etiology of enlarged vestibular aqueducts . Archives of Otolaryngology–Head & Neck Surgery , 2005 . 131 ( 5 ): p. 388 – 392 . OpenUrl 38. ↵ Yang , T. , et al. , Transcriptional control of SLC26A4 is involved in Pendred syndrome and nonsyndromic enlargement of vestibular aqueduct (DFNB4) . The American Journal of Human Genetics , 2007 . 80 ( 6 ): p. 1055 – 1063 . OpenUrl CrossRef PubMed Web of Science 39. ↵ Yang , T. , et al. , Mutations of KCNJ10 together with mutations of SLC26A4 cause digenic nonsyndromic hearing loss associated with enlarged vestibular aqueduct syndrome . The American Journal of Human Genetics , 2009 . 84 ( 5 ): p. 651 – 657 . OpenUrl CrossRef PubMed Web of Science 40. ↵ Li , M. , et al. , Digenic inheritance of mutations in EPHA2 and SLC26A4 in Pendred syndrome . Nature communications , 2020 . 11 ( 1 ): p. 1343 . OpenUrl PubMed 41. ↵ Chao , J.R. , et al. , SLC26A4-linked CEVA haplotype correlates with phenotype in patients with enlargement of the vestibular aqueduct . BMC medical genetics , 2019 . 20 : p. 1 – 6 . OpenUrl PubMed 42. ↵ Yu , K. , X. Liu , and B. Yang , The correlation between deafness progression and SLC26A4 mutations in enlarged vestibular aqueduct patients . European Archives of Oto-Rhino-Laryngology , 2024 . 281 ( 2 ): p. 649 – 654 . OpenUrl PubMed 43. ↵ Wu , C.-C. , et al. , Phenotypic analyses and mutation screening of the SLC26A4 and FOXI1 genes in 101 Taiwanese families with bilateral nonsyndromic enlarged vestibular aqueduct (DFNB4) or Pendred syndrome . Audiology and Neurotology , 2009 . 15 ( 1 ): p. 57 – 66 . OpenUrl 44. Reyes , S. , et al. , Mutation analysis of SLC26A4 in mainland Chinese patients with enlarged vestibular aqueduct . Otolaryngology—Head and Neck Surgery , 2009 . 141 ( 4 ): p. 502 – 508 . OpenUrl PubMed 45. ↵ Miyagawa , M. , S.-y. Nishio , and S.-i. Usami , Mutation spectrum and genotype–phenotype correlation of hearing loss patients caused by SLC26A4 mutations in the Japanese: a large cohort study . Journal of human genetics , 2014 . 59 ( 5 ): p. 262 – 268 . OpenUrl CrossRef PubMed 46. ↵ Berrettini , S. , et al. , Large vestibular aqueduct syndrome: audiological, radiological, clinical, and genetic features . American journal of otolaryngology , 2005 . 26 ( 6 ): p. 363 – 371 . OpenUrl CrossRef PubMed 47. ↵ Gopen , Q. , et al. , Enlarged vestibular aqueduct: review of controversial aspects . The Laryngoscope , 2011 . 121 ( 9 ): p. 1971 – 1978 . OpenUrl CrossRef PubMed View the discussion thread. Back to top Previous Next Posted February 05, 2025. Download PDF Data/Code Email Thank you for your interest in spreading the word about medRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. You are going to email the following Unique SLC26A4 Mutation Spectrum in Mongolian Patients with Enlarged Vestibular Aqueduct: A Whole-Exome Sequencing Study Message Subject (Your Name) has forwarded a page to you from medRxiv Message Body (Your Name) thought you would like to see this page from the medRxiv website. Your Personal Message CAPTCHA This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. Share Unique SLC26A4 Mutation Spectrum in Mongolian Patients with Enlarged Vestibular Aqueduct: A Whole-Exome Sequencing Study Jargalkhuu Erdenechuluun , Bayasgalan Gombojav , Tserendulam Batsaikan , Yue-Sheng Lu , Narandalai Danshiitsoodol , Zaya Makhbal , Maralgoo Jargalmaa , Tuvshinbayar Jargalkhuu , Ho-Peng Hsu , Pei-Hsuan Lin , Hung-Ju Su , Chien-Hsing Lin , Chuan-Jen Hsu , Pei-Lung Chen , Cheng-Yu Tsai , Chen-Chi Wu medRxiv 2025.02.03.25321220; doi: https://doi.org/10.1101/2025.02.03.25321220 Share This Article: Copy Citation Tools Unique SLC26A4 Mutation Spectrum in Mongolian Patients with Enlarged Vestibular Aqueduct: A Whole-Exome Sequencing Study Jargalkhuu Erdenechuluun , Bayasgalan Gombojav , Tserendulam Batsaikan , Yue-Sheng Lu , Narandalai Danshiitsoodol , Zaya Makhbal , Maralgoo Jargalmaa , Tuvshinbayar Jargalkhuu , Ho-Peng Hsu , Pei-Hsuan Lin , Hung-Ju Su , Chien-Hsing Lin , Chuan-Jen Hsu , Pei-Lung Chen , Cheng-Yu Tsai , Chen-Chi Wu medRxiv 2025.02.03.25321220; doi: https://doi.org/10.1101/2025.02.03.25321220 Citation Manager Formats BibTeX Bookends EasyBib EndNote (tagged) EndNote 8 (xml) Medlars Mendeley Papers RefWorks Tagged Ref Manager RIS Zotero Tweet Widget Facebook Like Google Plus One Subject Area Genetic and Genomic Medicine Subject Areas All Articles Addiction Medicine (568) Allergy and Immunology (863) Anesthesia (297) Cardiovascular Medicine (4421) Dentistry and Oral Medicine (443) Dermatology (382) Emergency Medicine (606) Endocrinology (including Diabetes Mellitus and Metabolic Disease) (1507) Epidemiology (15212) Forensic Medicine (30) Gastroenterology (1121) Genetic and Genomic Medicine (6581) Geriatric Medicine (667) Health Economics (996) Health Informatics (4520) Health Policy (1366) Health Systems and Quality Improvement (1611) Hematology (539) HIV/AIDS (1264) Infectious Diseases (except HIV/AIDS) (15906) Intensive Care and Critical Care Medicine (1103) Medical Education (620) Medical Ethics (144) Nephrology (667) Neurology (6580) Nursing (345) Nutrition (998) Obstetrics and Gynecology (1141) Occupational and Environmental Health (956) Oncology (3324) Ophthalmology (970) Orthopedics (369) Otolaryngology (420) Pain Medicine (435) Palliative Medicine (129) Pathology (663) Pediatrics (1689) Pharmacology and Therapeutics (691) Primary Care Research (710) Psychiatry and Clinical Psychology (5432) Public and Global Health (9212) Radiology and Imaging (2193) Rehabilitation Medicine and Physical Therapy (1368) Respiratory Medicine (1194) Rheumatology (593) Sexual and Reproductive Health (709) Sports Medicine (529) Surgery (709) Toxicology (99) Transplantation (288) Urology (265) (function(){function c(){var b=a.contentDocument||a.contentWindow.document;if(b){var d=b.createElement('script');d.innerHTML="window.__CF$cv$params={r:'9ff4102d4835e2c5',t:'MTc3OTM3MTU2Mw=='};var a=document.createElement('script');a.src='/cdn-cgi/challenge-platform/scripts/jsd/main.js';document.getElementsByTagName('head')[0].appendChild(a);";b.getElementsByTagName('head')[0].appendChild(d)}}if(document.body){var a=document.createElement('iframe');a.height=1;a.width=1;a.style.position='absolute';a.style.top=0;a.style.left=0;a.style.border='none';a.style.visibility='hidden';document.body.appendChild(a);if('loading'!==document.readyState)c();else if(window.addEventListener)document.addEventListener('DOMContentLoaded',c);else{var e=document.onreadystatechange||function(){};document.onreadystatechange=function(b){e(b);'loading'!==document.readyState&&(document.onreadystatechange=e,c())}}}})();

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00