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The natural history and genotype–phenotype correlations of TMPRSS3 hearing loss: an international, multi-center, cohort analysis

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; M. F. van Dooren; S. G. Kant; H. H. W. de Gier; E. H. Hoefsloot; M. P. van der Schroeff; L. J. C. Rotteveel; F. G. Ropers; M. Kriek; E. Aten; J. C. C. Widdershoven; J. R. Hof; K. Hellingman; V. Vernimmen; H. Kremer; R. J. E. Pennings; I. Feenstra; C. P. Lanting; H. G. Yntema; F. L. J. Cals; L. Haer-Wigman; R. H. Free; J. S. Klein Wassink-Ruiter; A. L. Smit; M. J. van den Boogaard; A. M. A. Lachmeier; J. J. Smits; F. A. Ebbens; S. M. Maas; A. Plomp; T. P. M. Goderie; P. Merkus; J. van de Kamp; 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
Human Genetics · Vol. 143, Issue 5 · pp. 721-734 · 2024

Abstract

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.

Bibliographic Information

JournalHuman Genetics
PublisherSpringer
Publication Date2024-05-01
Publication Year2024
Volume143
Issue5
Pages721-734
Document TypeJournal Article
Print ISSN0340-6717
eISSN1432-1203
DOI10.1007/s00439-024-02648-3

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NARA Access Coverage1964-01-01~Current
Journal Homepagehttps://www.springer.com/journal/439
Publisher PageOpen Publisher Page
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