4.5 Review

ARNSHL gene identification: past, present and future

Journal

MOLECULAR GENETICS AND GENOMICS
Volume 297, Issue 5, Pages 1185-1193

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s00438-022-01926-x

Keywords

ARNSHL; Gene identification techniques; Exome sequencing

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Autosomal recessive non-syndromic hearing loss (ARNSHL) is a common hereditary deafness with high genetic heterogeneity. The molecular basis of ARNSHL is still unresolved in many cases, and techniques used to identify gene mutations vary. Various methods including homozygosity mapping, linkage studies, candidate gene approach, and position-independent approaches have been used to identify the gene mutations associated with ARNSHL.
Autosomal recessive non-syndromic hearing loss (ARNSHL) is the most common hereditary deafness. It is genetically highly heterogeneous and about 89 gene loci and 76 gene's mutations have been implicated in the etiology of ARNSHL. Molecular basis of ARNSHL remains unresolved in 60% of cases and gene mutations are unknown for 23 of 89 reported loci. Techniques used to identify reported ARNSHL gene mutations can be divided into position-dependent and position-independent approaches. The localization of the loci has been facilitated by homozygosity mapping or linkage studies using STR or SNP genotyping in large consanguineous families. First few genes identified for hearing loss exhibited such wide diversity of function and expression patterns that candidate gene approach was not a viable option. The mapping of the disorder to a chromosomal location has been followed by Sanger sequencing of all genes in the target region or confining of the massively parallel sequencing data analyses to the linkage region. Sometimes genes located in the linkage interval were prioritized because there was a reported orthologs with mutations causing hearing loss in mouse or when mutations in the gene caused a related disorder. Position-independent approaches involving use of mouse subtractive cochlear libraries, forward genetic screening, and position-independent analyses of massively parallel sequencing data have helped identify 17 of 68 reported ARNSHL gene mutations. A thorough study of the strategies used in the identification of reported ARNSHL genes and of their relative success can help increase the success rate of future studies.

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