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Ultra-long Read Sequencing for Whole Genomic DNA Analysis
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Privacy preserving processing of genomic data: A survey.

Mete Akgün1, A Osman Bayrak1, Bugra Ozer1

  • 1Advanced Genomics and Bioinformatics Research Center (İGBAM), Informatics and Information Security Research Center (BİLGEM), The Scientific and Technological Research Council of Turkey (TÜBİTAK), 41470 Gebze, Kocaeli, Turkey.

Journal of Biomedical Informatics
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Summary
This summary is machine-generated.

Genomic data privacy is a growing concern due to sensitive personal information. This review categorizes genomic data privacy problems and solutions, aiming to bridge the gap between theory and real-world applications.

Keywords:
GenomicsPrivacySecurity

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Area of Science:

  • Genomics
  • Bioinformatics
  • Information Security

Background:

  • Rapid advancements in genome sequencing generate vast amounts of sensitive genomic data.
  • Genomic data presents unique privacy challenges as it is the ultimate source of human identity.
  • Existing privacy solutions are difficult to implement due to complex security definitions.

Purpose of the Study:

  • To categorize pre-existing privacy problems and solutions in genomic data.
  • To identify and discuss open privacy challenges in genomic data processing.
  • To provide a framework for linking real-world privacy issues with proposed solutions.

Main Methods:

  • Literature review and synthesis of existing research on genomic data privacy.
  • Classification of privacy threats and mitigation strategies.
  • Analysis of privacy challenges across different genomic data processing stages.

Main Results:

  • A structured categorization of genomic data privacy problems and their corresponding solutions.
  • Identification of ongoing privacy concerns throughout the genomic data lifecycle.
  • A proposed framework to connect practical privacy issues with theoretical solutions.

Conclusions:

  • A clear classification of genomic data privacy issues is essential for practical application.
  • Addressing open privacy problems in data processing is crucial for secure genomic data handling.
  • This review facilitates the application of privacy solutions to real-world genomic data challenges.