Sign in
Genetic & Genomic MedicineCell Reports Medicine
Peer-reviewed journal article

Comprehensive Genetic Profiling of Sensorineural Hearing Loss Using an Integrative Diagnostic Approach

Sang‐Yeon LeeiD, Seungbok LeeiD, Seongyeol ParkiD, Sung Ho JungiD, Yejin YuniD, Won Hoon ChoiiD, Ju Hyuen Cha, Hongseok YuniD, Sangmoon LeeiD, Myung‐Whan SuhiD, Moo Kyun ParkiD, Jae‐Jin SongiD, Byung Yoon ChoiiD, Jun Ho LeeiD, Tong Mook KangiD, Young Seok JuiD, June‐Young KohiD, Jong‐Hee ChaeiD

Abstract

Despite the advent of Next-Generation Sequencing (NGS), genetic diagnosis of genetic disorders remains challenging, with diagnostic rates plateauing at approximately 50%. We investigated sensorineural hearing loss (SNHL), a prevalent sensory disorder with substantial genetic heterogeneity, through a comprehensive genomic analysis of a homogeneous disease cohort. Leveraging 394 families (750 individuals), we implemented a systematic multi-tiered genomic approach encompassing single-gene analysis to whole-genome sequencing (WGS), integrated with functional assays and bioinformatic analysis. Our methodological framework revealed a cumulative diagnostic yield of 55.6% (219 families), with automated WGS bioinformatics pipeline uncovering an additional 20 families harboring pathogenic variants, predominantly structural variants. Notably, comparative genomic analysis unveiled a higher frequency of single pathogenic alleles in recessive genes within our SNHL cohort relative to control populations. Subsequent deep intronic region interrogation identified three pathogenic variants on the opposite allele, substantiating the diagnostic utility of comprehensive genomic profiling. Through this approach, we delineated a genome-phenome landscape of SNHL, elucidating molecular signatures and establishing genotype-phenotype correlations at the inner ear functional level. This study underscores the transformative potential of WGS as a robust molecular diagnostic modality, advancing precision medicine paradigms in genetic disease research.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISRedfield '24Tsai '24Clifford '25Vestito '25Bizaki-Vall '26Wang '21
67% semantic matchGenetic & Genomic Medicine
Shelby E. Redfield, Wanqing Shao, Tieqi Sun+13 more·medRxiv·Sep 30, 2024