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Updated: Feb 9, 2026

Author Spotlight: Optimizing EAS with Long Electrodes for Enhanced Cochlear Coverage and Hearing Preservation
Published on: October 11, 2024
Identification of alternative splicing in WFS1 associated with low-frequency hearing loss in the common marmoset
Shu Yokota1, Hidekane Yoshimura1, Shin-Ya Nishio2
1Department of Otorhinolaryngology-Head and Neck Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto City, Nagano 390-8621, Japan.
Abstract:
Approximately 200 genes have been identified as causative in hereditary hearing loss. Genetic testing is increasingly important, not only for accurate diagnosis but also for predicting audiometric profiles, prognoses, and potential syndromic features. Hereditary hearing loss can be syndromic or nonsyndromic, with nonsyndromic forms further classified by inheritance: autosomal-dominant or autosomal-recessive. In autosomal-dominant cases, three pathological mechanisms-haploinsufficiency, dominant-negative effects, and gain of function-are often implicated. Moreover, specific genes correlate with distinct audiometric patterns: WFS1 variants typically cause low-frequency hearing loss, whereas KCNQ4 and POU4F3 variants are linked to high-frequency loss. To investigate the underlying mechanisms of these frequency-dependent patterns, gene expression across cochlear turns was compared in mice, but interpretations of the results were limited because of inherent structural differences between rodent and primate cochleae. Therefore, the common marmoset (Callithrix jacchus), which offers closer anatomical and functional similarity to human cochleae, was utilized herein as an improved model. Using RNA sequencing (RNA-seq) across cochlear turns of common marmosets, the present study aimed to uncover gene expression and alternative splicing patterns that may explain tonotopic manifestations in hereditary hearing loss, including those caused by WFS1 variants, the present study being one such using common marmoset cochlear RNA-seq data, and these findings are highly valuable for genetic diagnosis and the development of gene therapies.
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