TITLE

Predicting candidate genes for human deafness disorders: a bioinformatics approach

AUTHOR(S)
Alsaber, Rami; Tabone, Christopher J; Kandpal, Raj P
PUB. DATE
January 2006
SOURCE
BMC Genomics;2006, Vol. 7, p180
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Background: There are more than 50 genes for autosomal dominant and autosomal recessive nonsyndromic hereditary deafness that are yet to be cloned. The human genome sequence and expression profiles of transcripts in the inner ear have aided positional cloning approaches. The knowledge of protein interactions offers additional advantages in selecting candidate genes within a mapped region. Results: We have employed a bioinformatic approach to assemble the genes encoded by genomic regions that harbor various deafness loci. The genes were then in silico analyzed for their candidacy by expression pattern and ability to interact with other proteins. Such analyses have narrowed a list of 2400 genes from suspected regions of the genome to a manageable number of about 140 for further analysis. Conclusion: We have established a list of strong candidate genes encoded by the regions linked to various nonsyndromic hereditary hearing loss phenotypes by using a novel bioinformatic approach. The candidates presented here provide a starting point for mutational analysis in wellcharacterized families along with genetic linkage to refine the loci. The advantages and shortcomings of this bioinformatic approach are discussed.
ACCESSION #
28858682

 

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