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Updated: Jun 29, 2026
07:32
Surgical Method for Virally Mediated Gene Delivery to the Mouse Inner Ear through the Round Window Membrane
Published on: March 16, 2015
Positional cloning of deafness genes.
Hannie Kremer1, Frans P M Cremers
1Department of Otorhinolaryngology, Nijmegen Centre for Molecular Life Sciences, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
Methods in Molecular Biology (Clifton, N.J.)
|October 8, 2008
Summary
Identifying genes for nonsyndromic sensorineural hearing loss (NSHL) uses linkage analysis and advanced genomics. New high-throughput sequencing may soon streamline finding disease-causing genetic variants.
Area of Science:
- Genetics
- Genomics
- Molecular Biology
Background:
- Nonsyndromic sensorineural hearing loss (NSHL) gene identification historically relied on positional cloning and linkage analysis.
- Advancements in genomics, transcriptomics, proteomics, and animal models have accelerated disease gene discovery.
Purpose of the Study:
- To review methods for identifying causative genes in NSHL.
- To discuss strategies for excluding known NSHL loci and genes.
- To outline techniques for pinpointing genomic regions harboring genetic defects.
Main Methods:
- Linkage analysis with genotyping and statistical evaluation.
- Copy number variation analysis.
- Candidate gene prioritization using gene expression, protein networks, and animal model phenotypes.
Main Results:
- Established methods allow for the exclusion of known NSHL genes and loci.
- Genomic regions containing genetic defects can be identified through various analytical approaches.
- Algorithms aid in automating candidate gene selection, though high-throughput sequencing may reduce this need.
Conclusions:
- Positional cloning and linkage analysis have been foundational for NSHL gene discovery.
- Integrated genomic and molecular approaches enhance the efficiency of identifying NSHL-associated genes.
- Future directions point towards high-throughput sequencing for rapid variant identification and pathogenicity assessment.
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