Implementing next-generation sequencing for diagnosis and management of hereditary hearing impairment: a comprehensive review

被引:1
作者
Tsai, Cheng-Yu [1 ,2 ]
Hsu, Jacob Shu-Jui [1 ]
Chen, Pei-Lung [1 ,3 ,4 ,5 ]
Wu, Chen-Chi [2 ,3 ,6 ,7 ]
机构
[1] Natl Taiwan Univ Coll Med, Grad Inst Med Genom & Prote, 1 Jen-Ai Rd, Taipei 100233, Taiwan
[2] Natl Taiwan Univ Hosp, Dept Otolaryngol, 7 Chung-Shan South Rd, Taipei 100225, Taiwan
[3] Natl Taiwan Univ, Grad Inst Clin Med, Coll Med, Taipei, Taiwan
[4] Natl Taiwan Univ, Inst Mol Med, Coll Med, Taipei, Taiwan
[5] Natl Taiwan Univ Hosp, Dept Med Genet, Taipei, Taiwan
[6] Natl Taiwan Univ Hosp, Dept Med Res, Hsin Chu Branch, Hsinchu, Taiwan
[7] Natl Taiwan Univ Hosp, Dept Otolaryngol, Hsin Chu Branch, Hsinchu, Taiwan
关键词
Diagnostics; long-read sequencing; medical artificial intelligence; next-generation sequencing; non-coding variants; prognostics; sensorineural hearing impairment; ENLARGED VESTIBULAR AQUEDUCT; COPY-NUMBER; COCHLEAR IMPLANTATION; PAIRED-END; STRUCTURAL VARIATION; CANCER GENOMES; VARIANTS; CHILDREN; GENES; IDENTIFICATION;
D O I
10.1080/14737159.2024.2396866
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
Introduction: Sensorineural hearing impairment (SNHI), a common childhood disorder with heterogeneous genetic causes, can lead to delayed language development and psychosocial problems. Next-generation sequencing (NGS) offers high-throughput screening and high-sensitivity detection of genetic etiologies of SNHI, enabling clinicians to make informed medical decisions, provide tailored treatments, and improve prognostic outcomes. Areas covered: This review covers the diverse etiologies of HHI and the utility of different NGS modalities (targeted sequencing and whole exome/genome sequencing), and includes HHI-related studies on newborn screening, genetic counseling, prognostic prediction, and personalized treatment. Challenges such as the trade-off between cost and diagnostic yield, detection of structural variants, and exploration of the non-coding genome are also highlighted. Expert opinion: In the current landscape of NGS-based diagnostics for HHI, there are both challenges (e.g. detection of structural variants and non-coding genome variants) and opportunities (e.g. the emergence of medical artificial intelligence tools). The authors advocate the use of technological advances such as long-read sequencing for structural variant detection, multi-omics analysis for non-coding variant exploration, and medical artificial intelligence for pathogenicity assessment and outcome prediction. By integrating these innovations into clinical practice, precision medicine in the diagnosis and management of HHI can be further improved.
引用
收藏
页码:753 / 765
页数:13
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