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Privacy in the Genomic Era.

Muhammad Naveed1, Erman Ayday2, Ellen W Clayton3

  • 1University of Illinois at Urbana-Champaign.

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Summary
This summary is machine-generated.

Genomic data offers medical advances but raises privacy concerns due to its unique identification and familial linkage features. This paper systematizes knowledge on genome data privacy for computer scientists, addressing threats and mitigation strategies.

Keywords:
Additional Key Words and Phrases: genomics privacybiomedical researchhealthcarerecreational genomicssecurity

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Area of Science:

  • Genomic Data Privacy
  • Computer Science
  • Bioinformatics
  • Public Policy

Background:

  • Rapid advancements in genome sequencing technology enable inexpensive, detailed genotype generation.
  • Genomic data supports personalized medicine but presents significant privacy challenges.
  • Direct-to-consumer DNA testing increases data accessibility in less regulated environments.

Purpose of the Study:

  • To systematize knowledge on genome data privacy for the computer science community.
  • To address common misconceptions regarding genomic data privacy.
  • To review current privacy attacks, mitigation strategies, and policy implications.

Main Methods:

  • Literature review on genomic data privacy attacks and countermeasures.
  • Survey of biomedical specialists on genome data privacy perceptions.
  • Characterization of the genome privacy problem and its unique features.

Main Results:

  • Genomic data possesses inherent traits (disease association, identification, familial linkage) that complicate privacy.
  • Existing computer science privacy solutions require adaptation for genomic data.
  • A survey revealed specific concerns and beliefs among biomedical specialists regarding genome privacy.

Conclusions:

  • Genomic data privacy is a complex issue at the intersection of computer science, medicine, and public policy.
  • There is a need for a systematic framework to analyze threats and design effective countermeasures.
  • Further research and collaboration are essential to safeguard sensitive genomic information.