Privacy Challenges of Genomic Big Data

被引:10
|
作者
Shen, Hong [1 ]
Ma, Jian [2 ]
机构
[1] Carnegie Mellon Univ, Dept Engn & Publ Policy, Pittsburgh, PA 15213 USA
[2] Carnegie Mellon Univ, Sch Comp Sci, Computat Biol Dept, Pittsburgh, PA 15213 USA
来源
HEALTHCARE AND BIG DATA MANAGEMENT | 2017年 / 1028卷
关键词
Personal genomic data; Genomic privacy; Computational methods;
D O I
10.1007/978-981-10-6041-0_8
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
With the rapid advancement of high-throughput DNA sequencing technologies, genomics has become a big data discipline where large-scale genetic information of human individuals can be obtained efficiently with low cost. However, such massive amount of personal genomic data creates tremendous challenge for privacy, especially given the emergence of direct-to-consumer (DTC) industry that provides genetic testing services. Here we review the recent development in genomic big data and its implications on privacy. We also discuss the current dilemmas and future challenges of genomic privacy.
引用
收藏
页码:139 / 148
页数:10
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