Comprehensive genetic profiling of sensorineural hearing loss using an integrative diagnostic approach

Despite the advent of next-generation sequencing, diagnosing genetic disorders remains challenging. We perform comprehensive genomic profiling of 394 families (752 individuals) with sensorineural hearing loss (SNHL) using a systematic multi-tiered approach, from single-gene analysis to whole-genome sequencing (WGS), complemented by functional assays and bioinformatic analysis. Our strategy achieves a cumulative diagnostic yield of 55.6% (219 families), with automated WGS analysis identifying pathogenic variants in an additional 20 families, primarily structural variants. Comparative analysis reveals higher frequencies of single pathogenic alleles in recessive genes within our cohort compared to controls. Subsequent analysis, including in silico predictions and in vitro validation, identifies three deep intronic pathogenic variants on opposite alleles. These findings demonstrate the value of comprehensive genomic analysis in resolving undiagnosed cases. Finally, we map the genome-phenome landscape of SNHL at the level of inner ear function. Our results highlight WGS as a transformative tool for precision medicine in genetic diseases.

Authors

Institutions

Publication Details

Journal
Cell Reports Medicine
Published
2025-07-01
DOI
https://doi.org/10.1016/j.xcrm.2025.102206
Citations
2
Primary Topic
Hearing, Cochlea, Tinnitus, Genetics
Type
article
Field-Weighted Citation Impact
2.93

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comprehensive genetic profiling of sensorineural hearing loss using an integrative diagnostic approach

Yejin Yun, Ju Hyuen, Hongseok Yun, Won Hoon Choi et al.
2 citations
Cell Reports Medicine
Hearing, Cochlea, Tinnitus, Genetics
2.93
article

Comprehensive genetic profiling of sensorineural hearing loss using an integrative diagnostic approach

Yejin Yun, Ju Hyuen, Hongseok Yun, Won Hoon Choi, Tong Mook Kang, Jae‐Jin Song, Seongyeol Park, Sung Ho Jung, Young Seok Ju, Seungbok Lee, Jong‐Hee Chae, Byung Yoon Choi, Moo Kyun Park, June‐Young Koh, Myung‐Whan Suh, Jun Ho Lee, Sangmoon Lee, Sang‐Yeon Lee
article en
2 citations

Abstract

Despite the advent of next-generation sequencing, diagnosing genetic disorders remains challenging. We perform comprehensive genomic profiling of 394 families (752 individuals) with sensorineural hearing loss (SNHL) using a systematic multi-tiered approach, from single-gene analysis to whole-genome sequencing (WGS), complemented by functional assays and bioinformatic analysis. Our strategy achieves a cumulative diagnostic yield of 55.6% (219 families), with automated WGS analysis identifying pathogenic variants in an additional 20 families, primarily structural variants. Comparative analysis reveals higher frequencies of single pathogenic alleles in recessive genes within our cohort compared to controls. Subsequent analysis, including in silico predictions and in vitro validation, identifies three deep intronic pathogenic variants on opposite alleles. These findings demonstrate the value of comprehensive genomic analysis in resolving undiagnosed cases. Finally, we map the genome-phenome landscape of SNHL at the level of inner ear function. Our results highlight WGS as a transformative tool for precision medicine in genetic diseases.

Cell Reports MedicineVol. 6(7)
Korea Advanced Institute of Science and Technology (KR), University of Madras (IN), Samsung Medical Center (KR), Seoul National University Hospital (KR), Seoul National University Bundang Hospital (KR), Seoul National University Children's Hospital (KR)
National Research Foundation, Korea Health Industry Development Institute, National Research Foundation of Korea
Openalex Percentile: Top 10%
Hearing, Cochlea, Tinnitus, Genetics
2.93
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.