Privacy Challenges of Genomic Big Data

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 challeng...

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Bibliographic Details
Published inAdvances in experimental medicine and biology Vol. 1028; pp. 139 - 148
Main Authors Shen, Hong, Ma, Jian
Format Book Chapter Journal Article
LanguageEnglish
Published Singapore Springer Singapore 01.01.2017
SeriesAdvances in Experimental Medicine and Biology
Subjects
Computational methods
Genomic privacy
Genomics
Humans
Patient Participation
Personal genomic data
Privacy
Personal genomic data
Computational methods
Genomic privacy
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ISBN9789811060403
9811060401
ISSN0065-2598
2214-8019
DOI10.1007/978-981-10-6041-0_8

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Summary: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.
ISBN:9789811060403
9811060401
ISSN:0065-2598
2214-8019
DOI:10.1007/978-981-10-6041-0_8