Brett M. Colbert, Cris Lanting, Molly Smeal, Susan Blanton, Derek M. Dykxhoorn, Pei-Ciao Tang, Richard L. Getchell, Hedwig Velde, Mirthe Fehrmann, Ryan Thorpe, Prem Chapagain, Heidy Elkhaligy, Hannie Kremer, Helger Yntema, Lonneke Haer-Wigman, Shelby Redfield, Tieqi Sun, Saskia Bruijn, Astrid Plomp, Thadé Goderie, Jiddeke van de Kamp, Rolien H. Free, Jolien Klein Wassink-Ruiter, Josine Widdershoven, Els Vanhoutte, Liselotte Rotteveel, Marjolein Kriek, Marieke van Dooren, Lies Hoefsloot, Heriette H. W. de Gier, Amanda Schaefer, Diana Kolbe, Hela Azaiez, Grace Rabie, Armal Aburayyan, Mariana Kawas, Moien Kanaan, Jourdan Holder, Shin-ichi Usami, Zhengyi Chen, Pu Dai, Jeffrey Holt, Rick Nelson, Byung Yoon Choi, Eliot Shearer, Richard J. H. Smith, Ronald Pennings, Xue Zhong Liu
{"title":"TMPRSS3听力损失的自然史和基因型与表型的相关性:国际多中心队列分析","authors":"Brett M. Colbert, Cris Lanting, Molly Smeal, Susan Blanton, Derek M. Dykxhoorn, Pei-Ciao Tang, Richard L. Getchell, Hedwig Velde, Mirthe Fehrmann, Ryan Thorpe, Prem Chapagain, Heidy Elkhaligy, Hannie Kremer, Helger Yntema, Lonneke Haer-Wigman, Shelby Redfield, Tieqi Sun, Saskia Bruijn, Astrid Plomp, Thadé Goderie, Jiddeke van de Kamp, Rolien H. Free, Jolien Klein Wassink-Ruiter, Josine Widdershoven, Els Vanhoutte, Liselotte Rotteveel, Marjolein Kriek, Marieke van Dooren, Lies Hoefsloot, Heriette H. W. de Gier, Amanda Schaefer, Diana Kolbe, Hela Azaiez, Grace Rabie, Armal Aburayyan, Mariana Kawas, Moien Kanaan, Jourdan Holder, Shin-ichi Usami, Zhengyi Chen, Pu Dai, Jeffrey Holt, Rick Nelson, Byung Yoon Choi, Eliot Shearer, Richard J. H. Smith, Ronald Pennings, Xue Zhong Liu","doi":"10.1007/s00439-024-02648-3","DOIUrl":null,"url":null,"abstract":"<p><i>TMPRSS3</i>-related hearing loss presents challenges in correlating genotypic variants with clinical phenotypes due to the small sample sizes of previous studies. We conducted a cross-sectional genomics study coupled with retrospective clinical phenotype analysis on 127 individuals. These individuals were from 16 academic medical centers across 6 countries. Key findings revealed 47 unique <i>TMPRSS3</i> variants with significant differences in hearing thresholds between those with missense variants versus those with loss-of-function genotypes. The hearing loss progression rate for the DFNB8 subtype was 0.3 dB/year. Post-cochlear implantation, an average word recognition score of 76% was observed. Of the 51 individuals with two missense variants, 10 had DFNB10 with profound hearing loss. These 10 all had at least one of 4 TMPRSS3 variants predicted by computational modeling to be damaging to TMPRSS3 structure and function. To our knowledge, this is the largest study of TMPRSS3 genotype–phenotype correlations. We find significant differences in hearing thresholds, hearing loss progression, and age of presentation, by TMPRSS3 genotype and protein domain affected. Most individuals with TMPRSS3 variants perform well on speech recognition tests after cochlear implant, however increased age at implant is associated with worse outcomes. These findings provide insight for genetic counseling and the on-going design of novel therapeutic approaches.</p>","PeriodicalId":13175,"journal":{"name":"Human Genetics","volume":"2011 1","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The natural history and genotype–phenotype correlations of TMPRSS3 hearing loss: an international, multi-center, cohort analysis\",\"authors\":\"Brett M. Colbert, Cris Lanting, Molly Smeal, Susan Blanton, Derek M. Dykxhoorn, Pei-Ciao Tang, Richard L. Getchell, Hedwig Velde, Mirthe Fehrmann, Ryan Thorpe, Prem Chapagain, Heidy Elkhaligy, Hannie Kremer, Helger Yntema, Lonneke Haer-Wigman, Shelby Redfield, Tieqi Sun, Saskia Bruijn, Astrid Plomp, Thadé Goderie, Jiddeke van de Kamp, Rolien H. Free, Jolien Klein Wassink-Ruiter, Josine Widdershoven, Els Vanhoutte, Liselotte Rotteveel, Marjolein Kriek, Marieke van Dooren, Lies Hoefsloot, Heriette H. W. de Gier, Amanda Schaefer, Diana Kolbe, Hela Azaiez, Grace Rabie, Armal Aburayyan, Mariana Kawas, Moien Kanaan, Jourdan Holder, Shin-ichi Usami, Zhengyi Chen, Pu Dai, Jeffrey Holt, Rick Nelson, Byung Yoon Choi, Eliot Shearer, Richard J. H. Smith, Ronald Pennings, Xue Zhong Liu\",\"doi\":\"10.1007/s00439-024-02648-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><i>TMPRSS3</i>-related hearing loss presents challenges in correlating genotypic variants with clinical phenotypes due to the small sample sizes of previous studies. We conducted a cross-sectional genomics study coupled with retrospective clinical phenotype analysis on 127 individuals. These individuals were from 16 academic medical centers across 6 countries. Key findings revealed 47 unique <i>TMPRSS3</i> variants with significant differences in hearing thresholds between those with missense variants versus those with loss-of-function genotypes. The hearing loss progression rate for the DFNB8 subtype was 0.3 dB/year. Post-cochlear implantation, an average word recognition score of 76% was observed. Of the 51 individuals with two missense variants, 10 had DFNB10 with profound hearing loss. These 10 all had at least one of 4 TMPRSS3 variants predicted by computational modeling to be damaging to TMPRSS3 structure and function. To our knowledge, this is the largest study of TMPRSS3 genotype–phenotype correlations. We find significant differences in hearing thresholds, hearing loss progression, and age of presentation, by TMPRSS3 genotype and protein domain affected. Most individuals with TMPRSS3 variants perform well on speech recognition tests after cochlear implant, however increased age at implant is associated with worse outcomes. 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The natural history and genotype–phenotype correlations of TMPRSS3 hearing loss: an international, multi-center, cohort analysis
TMPRSS3-related hearing loss presents challenges in correlating genotypic variants with clinical phenotypes due to the small sample sizes of previous studies. We conducted a cross-sectional genomics study coupled with retrospective clinical phenotype analysis on 127 individuals. These individuals were from 16 academic medical centers across 6 countries. Key findings revealed 47 unique TMPRSS3 variants with significant differences in hearing thresholds between those with missense variants versus those with loss-of-function genotypes. The hearing loss progression rate for the DFNB8 subtype was 0.3 dB/year. Post-cochlear implantation, an average word recognition score of 76% was observed. Of the 51 individuals with two missense variants, 10 had DFNB10 with profound hearing loss. These 10 all had at least one of 4 TMPRSS3 variants predicted by computational modeling to be damaging to TMPRSS3 structure and function. To our knowledge, this is the largest study of TMPRSS3 genotype–phenotype correlations. We find significant differences in hearing thresholds, hearing loss progression, and age of presentation, by TMPRSS3 genotype and protein domain affected. Most individuals with TMPRSS3 variants perform well on speech recognition tests after cochlear implant, however increased age at implant is associated with worse outcomes. These findings provide insight for genetic counseling and the on-going design of novel therapeutic approaches.
期刊介绍:
Human Genetics is a monthly journal publishing original and timely articles on all aspects of human genetics. The Journal particularly welcomes articles in the areas of Behavioral genetics, Bioinformatics, Cancer genetics and genomics, Cytogenetics, Developmental genetics, Disease association studies, Dysmorphology, ELSI (ethical, legal and social issues), Evolutionary genetics, Gene expression, Gene structure and organization, Genetics of complex diseases and epistatic interactions, Genetic epidemiology, Genome biology, Genome structure and organization, Genotype-phenotype relationships, Human Genomics, Immunogenetics and genomics, Linkage analysis and genetic mapping, Methods in Statistical Genetics, Molecular diagnostics, Mutation detection and analysis, Neurogenetics, Physical mapping and Population Genetics. Articles reporting animal models relevant to human biology or disease are also welcome. Preference will be given to those articles which address clinically relevant questions or which provide new insights into human biology.
Unless reporting entirely novel and unusual aspects of a topic, clinical case reports, cytogenetic case reports, papers on descriptive population genetics, articles dealing with the frequency of polymorphisms or additional mutations within genes in which numerous lesions have already been described, and papers that report meta-analyses of previously published datasets will normally not be accepted.
The Journal typically will not consider for publication manuscripts that report merely the isolation, map position, structure, and tissue expression profile of a gene of unknown function unless the gene is of particular interest or is a candidate gene involved in a human trait or disorder.