Pair analysis and custom array CGH can detect a small copy number variation in COQ6 gene View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-12-24

AUTHORS

Keita Nakanishi, Takayuki Okamoto, Kandai Nozu, Shigeo Hara, Yasuyuki Sato, Asako Hayashi, Toshiyuki Takahashi, China Nagano, Nana Sakakibara, Tomoko Horinouchi, Junya Fujimura, Shogo Minamikawa, Tomohiko Yamamura, Rini Rossanti, Hiroaki Nagase, Hiroshi Kaito, Tadashi Ariga, Kazumoto Iijima

ABSTRACT

BACKGROUND: Recently, comprehensive genetic approaches for steroid-resistant nephrotic syndrome (SRNS) using next-generation sequencing (NGS) have been established, but causative gene mutations could not be detected in almost 70% of SRNS patients. Main reason for the low variant detection rate is that most of them are SRNS caused not by genetic but by immunological factors. But some of them are probably because of the difficulty of detecting copy number variations (CNVs) in causative genes by NGS. METHODS: In this study, we performed two analytical methods of NGS data-dependent pair analysis and custom array comparative genomic hybridization (aCGH) in addition to NGS analysis in an infantile nephrotic syndrome case. RESULTS: We detected only one known pathogenic heterozygous missense mutation in exon 7 of COQ6 c.782C > T, p.(Pro261Leu) by NGS. With pair analysis, heterozygous exon 1-2 deletion was suspected and was confirmed by custom aCGH. As a result, a small CNV was successfully detected in the COQ6 gene. Because we could detect variants in COQ6 and could start treatment by coenzyme Q10 (CoQ10) in his very early stage of SRNS, the patient achieved complete remission. CONCLUSIONS: These relatively novel methods should be adopted in cases with negative results in gene tests by NGS analysis. Especially, in cases with CoQ10 deficiency, it is possible to delay initiating dialysis by starting treatment at their early stages. More... »

PAGES

1-7

Journal

TITLE

Clinical and Experimental Nephrology

ISSUE

N/A

VOLUME

N/A

Author Affiliations

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10157-018-1682-z

    DOI

    http://dx.doi.org/10.1007/s10157-018-1682-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1110888797

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30584653


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