Abstract
Usher syndrome (USH) is the most common cause of combined blindness and deafness inherited in an autosomal recessive mode. Molecular diagnosis is of great significance in revealing the molecular pathogenesis and aiding the clinical diagnosis of this disease. However, molecular diagnosis remains a challenge due to high phenotypic and genetic heterogeneity in USH. This study explored an approach for detecting disease-causing genetic mutations in candidate genes in five index cases from unrelated USH families based on targeted next-generation sequencing (NGS) technology. Through systematic data analysis using an established bioinformatics pipeline and segregation analysis, 10 pathogenic mutations in the USH disease genes were identified in the five USH families. Six of these mutations were novel: c.4398G > A and EX38-49del in MYO7A, c.988_989delAT in USH1C, c.15104_15105delCA and c.6875_6876insG in USH2A. All novel variations segregated with the disease phenotypes in their respective families and were absent from ethnically matched control individuals. This study expanded the mutation spectrum of USH and revealed the genotype–phenotype relationships of the novel USH mutations in Chinese patients. Moreover, this study proved that targeted NGS is an accurate and effective method for detecting genetic mutations related to USH. The identification of pathogenic mutations is of great significance for elucidating the underlying pathophysiology of USH.
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Acknowledgments
The authors are grateful to all family members for their participation in this study, and are grateful to Dr. Yong Liu and Dr. Xiao-Hong Meng for patients referring. This study was supported by the National Key Basic Research Program of China (973 Program, 2013CB967002) and the Natural Science Foundation of China (No. 81130017 and No. 81200710).
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Communicated by S. Hohmann.
L.-H. Qu and X. Jin equally contributed to this paper.
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Qu, LH., Jin, X., Xu, HW. et al. Detecting novel genetic mutations in Chinese Usher syndrome families using next-generation sequencing technology. Mol Genet Genomics 290, 353–363 (2015). https://doi.org/10.1007/s00438-014-0915-4
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DOI: https://doi.org/10.1007/s00438-014-0915-4