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Modeling SNP-Trait Associations and Realizing Privacy-Utility Tradeoff in Genomic Data Publishing

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Bioinformatics Research and Applications (ISBRA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 11490))

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Abstract

Genomic data privacy arises as one of the most important concerns facing the wide commoditization of DNA-genotyping. In this paper, we study the problem of privacy preserved kin-genomic data publishing. The major challenge in protecting kin-genomic data privacy is to protect against powerful attackers with abundant background knowledge. We propose a probabilistic model based on factor graph with the knowledge of publicly available GWAS statistics to reveal the dependency relationship between genotypes and phenotypes. Furthermore, a genomic data sanitization method is proposed to protect against optimal inference attacks launched by powerful attackers.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Software Engineering, Miami University, Oxford, OH, USA

    Zaobo He

  2. Faculty of Information Technology, Beijing University of Technology, Beijing, China

    Jianqiang Li

Authors
  1. Zaobo He
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  2. Jianqiang Li
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Corresponding authors

Correspondence to Zaobo He or Jianqiang Li .

Editor information

Editors and Affiliations

  1. Georgia State University, Atlanta, GA, USA

    Zhipeng Cai

  2. Georgia State University, Atlanta, GA, USA

    Pavel Skums

  3. Central South University, Changsha, China

    Min Li

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He, Z., Li, J. (2019). Modeling SNP-Trait Associations and Realizing Privacy-Utility Tradeoff in Genomic Data Publishing. In: Cai, Z., Skums, P., Li, M. (eds) Bioinformatics Research and Applications. ISBRA 2019. Lecture Notes in Computer Science(), vol 11490. Springer, Cham. https://doi.org/10.1007/978-3-030-20242-2_6

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  • DOI: https://doi.org/10.1007/978-3-030-20242-2_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20241-5

  • Online ISBN: 978-3-030-20242-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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