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Comprehensive diagnostic testing for stereocilin: an approach for analyzing medically important genes with high homology

Authors :
Diana, Mandelker
Sami S, Amr
Trevor, Pugh
Sivakumar, Gowrisankar
Rimma, Shakhbatyan
Elizabeth, Duffy
Mark, Bowser
Bryan, Harrison
Katherine, Lafferty
Lisa, Mahanta
Heidi L, Rehm
Birgit H, Funke
Source :
The Journal of molecular diagnostics : JMD. 16(6)
Publication Year :
2014

Abstract

Next-generation sequencing (NGS) technologies have revolutionized genetic testing by enabling simultaneous analysis of unprecedented numbers of genes. However, genes with high-sequence homology pose challenges to current NGS technologies. Because diagnostic sequencing is moving toward exome analysis, knowledge of these homologous genes is essential to avoid false positive and negative results. An example is the STRC gene, one of70 genes known to contribute to the genetic basis of hearing loss. STRC is 99.6% identical to a pseudogene (pSTRC) and therefore inaccessible to standard NGS methodologies. The STRC locus is also known to be a common site for large deletions. Comprehensive diagnostic testing for inherited hearing loss therefore necessitates a combination of several approaches to avoid pseudogene interference. We have developed a clinical test that combines standard NGS and NGS-based copy number assessment supplemented with a long-range PCR-based Sanger or MiSeq assay to eliminate pseudogene contamination. By using this combination of assays we could identify biallelic STRC variants in 14% (95% CI, 8%-24%) of individuals with isolated nonsyndromic hearing loss who had previously tested negative on our 70-gene hearing loss panel, corresponding to a detection rate of 11.2% (95% CI, 6%-19%) for previously untested patients. This approach has broad applicability because medically significant genes for many disease areas include genes with high-sequence homology.

Details

ISSN :
19437811
Volume :
16
Issue :
6
Database :
OpenAIRE
Journal :
The Journal of molecular diagnostics : JMD
Accession number :
edsair.pmid..........656fbc586acf064f2402b2b829c2b087