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タイトル: Secure secondary utilization system of genomic data using quantum secure cloud
著者: Fujiwara, Mikio
Hashimoto, Hiroki
Doi, Kazuaki
Kujiraoka, Mamiko
Tanizawa, Yoshimichi
Ishida, Yusuke
Sasaki, Masahide
Nagasaki, Masao
著者名の別形: 藤原, 幹生
橋本, 洋希
土井, 一右
鯨岡, 真美子
谷澤, 佳道
石田, 祐介
佐々木, 雅英
長﨑, 正朗
キーワード: Genomics
Quantum physics
発行日: 2022
出版者: Springer Nature
誌名: Scientific Reports
巻: 12
論文番号: 18530
抄録: Secure storage and secondary use of individual human genome data is increasingly important for genome research and personalized medicine. Currently, it is necessary to store the whole genome sequencing information (FASTQ data), which enables detections of de novo mutations and structural variations in the analysis of hereditary diseases and cancer. Furthermore, bioinformatics tools to analyze FASTQ data are frequently updated to improve the precision and recall of detected variants. However, existing secure secondary use of data, such as multi-party computation or homomorphic encryption, can handle only a limited algorithms and usually requires huge computational resources. Here, we developed a high-performance one-stop system for large-scale genome data analysis with secure secondary use of the data by the data owner and multiple users with different levels of data access control. Our quantum secure cloud system is a distributed secure genomic data analysis system (DSGD) with a “trusted server” built on a quantum secure cloud, the information-theoretically secure Tokyo QKD Network. The trusted server will be capable of deploying and running a variety of sequencing analysis hardware, such as GPUs and FPGAs, as well as CPU-based software. We demonstrated that DSGD achieved comparable throughput with and without encryption on the trusted server Therefore, our system is ready to be installed at research institutes and hospitals that make diagnoses based on whole genome sequencing on a daily basis.
記述: 量子セキュアクラウドによる高速安全なゲノム解析システムの開発に成功 --従来不可能だった情報理論的安全で高速な処理を実現--. 京都大学プレスリリース. 2022-11-24.
著作権等: © The Author(s) 2022
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
URI: http://hdl.handle.net/2433/277493
DOI(出版社版): 10.1038/s41598-022-22804-x
PubMed ID: 36323706
関連リンク: https://www.kyoto-u.ac.jp/ja/research-news/2022-11-24-1
出現コレクション:学術雑誌掲載論文等

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