Comprehensive genetic testing approach for major inherited kidney diseases, using next-generation sequencing with a custom panel

Background Gene identification of hereditary kidney diseases by DNA sequencing is important for precise diagnosis, treatment, and genetic consultations. However, the conventional Sanger sequencing is now practically powerless in the face of ever increasing numbers of reported causative genes of vari...

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Veröffentlicht in:Clinical and experimental nephrology 2017-02, Vol.21 (1), p.63-75
Hauptverfasser: Mori, Takayasu, Hosomichi, Kazuyoshi, Chiga, Motoko, Mandai, Shintaro, Nakaoka, Hirofumi, Sohara, Eisei, Okado, Tomokazu, Rai, Tatemitsu, Sasaki, Sei, Inoue, Ituro, Uchida, Shinichi
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Sprache:eng
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Zusammenfassung:Background Gene identification of hereditary kidney diseases by DNA sequencing is important for precise diagnosis, treatment, and genetic consultations. However, the conventional Sanger sequencing is now practically powerless in the face of ever increasing numbers of reported causative genes of various hereditary diseases. The advent of next-generation sequencing technology has enabled large-scale, genome-wide, simultaneous sequence analyses of multiple candidate genes. Methods We designed and verified a comprehensive diagnosis panel for approximately 100 major inherited kidney diseases, including 127 known genes. The panel was named Simple, sPEedy and Efficient Diagnosis of Inherited KIdney Diseases (SPEEDI-KID). We applied the panel to 73 individuals, clinically diagnosed with an inherited kidney disease, from 56 families. Results The panel efficiently covered the candidate genes and allowed a prompt and accurate genetic diagnosis. Moreover, 18 unreported mutations suspected as the disease causes were detected. All these mutations were validated by Sanger sequencing, with 100 % concordance. Conclusion In conclusion, we developed a powerful diagnostic method, focusing on inherited kidney diseases, using a custom panel, SPEEDI-KID, allowing a fast, easy, and comprehensive diagnosis regardless of the disease type.
ISSN:1342-1751
1437-7799
DOI:10.1007/s10157-016-1252-1