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Implementing next-generation sequencing for diagnosis and management of hereditary hearing impairment: a comprehensive review.
Tsai, Cheng-Yu; Hsu, Jacob Shu-Jui; Chen, Pei-Lung; Wu, Chen-Chi.
Affiliation
  • Tsai CY; Graduate Institute of Medical Genomics and Proteomics, National Taiwan University College of Medicine, Taipei, Taiwan.
  • Hsu JS; Department of Otolaryngology, National Taiwan University Hospital, Taipei, Taiwan.
  • Chen PL; Graduate Institute of Medical Genomics and Proteomics, National Taiwan University College of Medicine, Taipei, Taiwan.
  • Wu CC; Graduate Institute of Medical Genomics and Proteomics, National Taiwan University College of Medicine, Taipei, Taiwan.
Expert Rev Mol Diagn ; : 1-13, 2024 Aug 28.
Article in En | MEDLINE | ID: mdl-39194060
ABSTRACT

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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Expert Rev Mol Diagn Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Expert Rev Mol Diagn Year: 2024 Document type: Article