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Whole-exome sequencing for screening noise-induced hearing loss susceptibility genes

Whole-exome sequencing for screening noise-induced hearing loss susceptibility genes Abstract Background High-throughput sequencing of genes indicating susceptibility to noise-induced hearing loss has not previously been reported. Aims/Objectives To identify and analyze genes associated with susceptibility to noise-induced hearing loss (NIHL) and characterize differences in susceptibility to hearing loss by genotype. Material and methods Pure tone audiometry tests were performed on 113 workers exposed to high-intensity noise. Whole-exome sequencing (WES) was conducted and NIHL susceptibility genes screened for training unsupervised and supervised machine learning models. Immunofluorescence staining of mouse cochlea was used to observe patterns of NIHL susceptibility gene expression. Results Participants were divided into a NIHL and a control group, according to the results of audiometry tests. Seventy-three possible NIHL susceptibility genes were input into the machine learning model. Two subgroups of NIHL could be distinguished by unsupervised machine learning and the classification was evaluated by the supervised machine learning algorithm. The VWF gene had the highest mutation frequency in the NIHL group and was expressed mainly in the spiral ligament. Conclusions and significance NIHL susceptibility genes were screened and NIHL subgroups could be distinguished. VWF may be a novel NIHL susceptibility gene. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Acta Oto-Laryngologica Taylor & Francis

Whole-exome sequencing for screening noise-induced hearing loss susceptibility genes

Acta Oto-Laryngologica , Volume 143 (5): 8 – May 2, 2023
8 pages

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References (20)

Publisher
Taylor & Francis
Copyright
© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group
ISSN
1651-2251
eISSN
0001-6489
DOI
10.1080/00016489.2023.2201287
Publisher site
See Article on Publisher Site

Abstract

Abstract Background High-throughput sequencing of genes indicating susceptibility to noise-induced hearing loss has not previously been reported. Aims/Objectives To identify and analyze genes associated with susceptibility to noise-induced hearing loss (NIHL) and characterize differences in susceptibility to hearing loss by genotype. Material and methods Pure tone audiometry tests were performed on 113 workers exposed to high-intensity noise. Whole-exome sequencing (WES) was conducted and NIHL susceptibility genes screened for training unsupervised and supervised machine learning models. Immunofluorescence staining of mouse cochlea was used to observe patterns of NIHL susceptibility gene expression. Results Participants were divided into a NIHL and a control group, according to the results of audiometry tests. Seventy-three possible NIHL susceptibility genes were input into the machine learning model. Two subgroups of NIHL could be distinguished by unsupervised machine learning and the classification was evaluated by the supervised machine learning algorithm. The VWF gene had the highest mutation frequency in the NIHL group and was expressed mainly in the spiral ligament. Conclusions and significance NIHL susceptibility genes were screened and NIHL subgroups could be distinguished. VWF may be a novel NIHL susceptibility gene.

Journal

Acta Oto-LaryngologicaTaylor & Francis

Published: May 2, 2023

Keywords: Noise-induced hearing loss; whole-exome sequencing; machine learning; prediction model

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