Molecular Diagnosis of 34 Japanese Families with Leber Congenital Amaurosis Using Targeted Next Generation Sequencing View Full Text


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Article Info

DATE

2018-05-29

AUTHORS

Katsuhiro Hosono, Sachiko Nishina, Tadashi Yokoi, Satoshi Katagiri, Hirotomo Saitsu, Kentaro Kurata, Daisuke Miyamichi, Akiko Hikoya, Kei Mizobuchi, Tadashi Nakano, Shinsei Minoshima, Maki Fukami, Hiroyuki Kondo, Miho Sato, Takaaki Hayashi, Noriyuki Azuma, Yoshihiro Hotta

ABSTRACT

Leber congenital amaurosis (LCA) is a genetically and clinically heterogeneous disease, and represents the most severe form of inherited retinal dystrophy (IRD). The present study reports the mutation spectra and frequency of known LCA and IRD-associated genes in 34 Japanese families with LCA (including three families that were previously reported). A total of 74 LCA- and IRD-associated genes were analysed via targeted-next generation sequencing (TS), while recently discovered LCA-associated genes, as well as known variants not able to be screened using this approach, were evaluated via additional Sanger sequencing, long-range polymerase chain reaction, and/or copy number variation analyses. The results of these analyses revealed 30 potential pathogenic variants in 12 (nine LCA-associated and three other IRD-associated) genes among 19 of the 34 analysed families. The most frequently mutated genes were CRB1, NMNAT1, and RPGRIP1. The results also showed the mutation spectra and frequencies identified in the analysed Japanese population to be distinctly different from those previously identified for other ethnic backgrounds. Finally, the present study, which is the first to conduct a NGS-based molecular diagnosis of a large Japanese LCA cohort, achieved a detection rate of approximately 56%, indicating that TS is a valuable method for molecular diagnosis of LCA cases in the Japanese population. More... »

PAGES

8279

References to SciGraph publications

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  • Journal

    TITLE

    Scientific Reports

    ISSUE

    1

    VOLUME

    8

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41598-018-26524-z

    DOI

    http://dx.doi.org/10.1038/s41598-018-26524-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1104200862

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/29844330


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