Privacy Protection in Sharing Personal Genome Sequencing Data

摘要

The past few years has witnessed rapid development in human genome research, thanking to the advance in the Next Generation Sequencing (NGS) technologies. New technologies for large-scale meta-analysis on genomic data continue to be developed, enabling the application of human genome research to clinical diagnosis and therapy. However, further progress in this area has been increasingly impeded by the constraints in accessing sequencing data, due in part to privacy concerns involved in data sharing. To address the privacy issues in human genome research, we propose a data analysis model that allows biomedical researchers and healthcare practitioners to use the sensitive genomic data that cannot be directly released in an efficient fashion, through the computing service over the data (instead of direct access to the data) provided by a large data center.