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Healthcare and Big Data Management pp 139–148Cite as

Privacy Challenges of Genomic Big Data

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Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 1028))

Abstract

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.

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Author information

Authors and Affiliations

  1. Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA

    Hong Shen

  2. Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA

    Jian Ma

Authors
  1. Hong Shen
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  2. Jian Ma
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Corresponding authors

Correspondence to Hong Shen or Jian Ma .

Editor information

Editors and Affiliations

  1. Center for Systems Biology, Soochow University, Suzhou, Jiangsu, China

    Bairong Shen

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© 2017 Springer Nature Singapore Pte Ltd.

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Shen, H., Ma, J. (2017). Privacy Challenges of Genomic Big Data. In: Shen, B. (eds) Healthcare and Big Data Management. Advances in Experimental Medicine and Biology, vol 1028. Springer, Singapore. https://doi.org/10.1007/978-981-10-6041-0_8

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