Application of Blockchain Platform to Manage and Secure Personal Genomic Data: A Case Study of LifeCODE.ai in China
【Author】 Jin, Xiao-Ling; Zhang, Miao; Zhou, Zhongyun; Yu, Xiaoyu
【Source】JOURNAL OF MEDICAL INTERNET RESEARCH
【影响因子】7.076
【Abstract】Background: The rapid development of genetic and genomic technologies, such as next-generation sequencing and genome editing, has made disease treatment much more precise and effective. The technologies' value can only be realized by the aggregation and analysis of people's genomic and health data. However, the collection and sharing of genomic data has many obstacles, including low data quality, information islands, tampering distortions, missing records, leaking of private data, and gray data transactions. Objective: This study aimed to prove that emerging blockchain technology provides a solution for the protection and management of sensitive personal genomic data because of its decentralization, traceability, encryption algorithms, and antitampering features. Methods: This paper describes the case of a blockchain-based genomic big data platform, LifeCODE.ai , to illustrate the means by which blockchain enables the storage and management of genomic data from the perspectives of data ownership, data sharing, and data security. Results: Blockchain opens up new avenues for dealing with data ownership, data sharing, and data security issues in genomic big data platforms and realizes the psychological empowerment of individuals in the platform. Conclusions: The blockchain platform provides new possibilities for the management and security of genetic data and can help realize the psychological empowerment of individuals in the process, and consequently, the effects of data self-governance, incentive-sharing, and security improvement can be achieved. However, there are still some problems in the blockchain that have not been solved, and which require continuous in-depth research and innovation in the future.
【Keywords】genomics big data platform; blockchain; data ownership; data sharing; data security
【发表时间】2019 10-Sep
【收录时间】2022-01-02
【文献类型】
【主题类别】
--
【DOI】 10.2196/13587
评论