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Detecting genetic variations in hereditary retinal dystrophies with next-generation sequencing technology

PURPOSE: To identify pathogenic mutations responsible for retinal dystrophies (RDs) in three unrelated Chinese families. METHODS: Three probands from unrelated families with RDs were recruited. Genomic DNA prepared from leukocytes was analyzed using gene chip–based next-generation sequencing (NGS) t...

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Detalles Bibliográficos
Autores principales: Jin, Xin, Qu, Ling Hui, Meng, Xiao Hong, Xu, Hai Wei, Yin, Zheng Qin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Vision 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4000715/
https://www.ncbi.nlm.nih.gov/pubmed/24791140
Descripción
Sumario:PURPOSE: To identify pathogenic mutations responsible for retinal dystrophies (RDs) in three unrelated Chinese families. METHODS: Three probands from unrelated families with RDs were recruited. Genomic DNA prepared from leukocytes was analyzed using gene chip–based next-generation sequencing (NGS) to capture and sequence all of the exons of 100 known RD-associated genes. Candidate variants were validated with PCR and Sanger sequencing in the respective families. Thorough ophthalmic examinations including best-corrected visual acuity, funduscopic examination, and full-field electroretinograms were performed in the affected individuals. RESULTS: We successfully identified causative mutations in patients from the Chinese families with RDs: the known mutation IMPDH1 c.942_944delGAA in a family with retinitis pigmentosa, the novel mutation ABCA4 c.1924T>A in a family with Stargardt disease, and the novel mutation NMNAT1 c.272A>G and known mutation NMNAT1 c.196C>T in a family with Leber congenital amaurosis. All variations segregated with the disease phenotypes in the respective families and were absent from ethnically matched control chromosomes. Prediction analysis demonstrated the two novel missense mutations might be damaging. CONCLUSIONS: The results strongly suggested these mutations were responsible for different RD phenotypes in the Chinese families. NGS technology provides an accurate and economic method for identifying causative genes for RDs.