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Privacy Challenges of Genomic Big Data.
1Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA. hongs@andrew.cmu.edu.
Advances in Experimental Medicine and Biology
|October 24, 2017
Summary
Genomic big data from high-throughput sequencing presents privacy challenges, particularly with direct-to-consumer genetic testing. Addressing these requires navigating current dilemmas and future genomic privacy concerns.
Area of Science:
- Genomics
- Bioinformatics
- Data Science
Background:
- High-throughput DNA sequencing generates massive human genomic datasets.
- The direct-to-consumer (DTC) genetic testing industry is expanding.
- Personal genomic data raises significant privacy concerns.
Purpose of the Study:
- Review recent advancements in genomic big data.
- Analyze the privacy implications of large-scale genetic information.
- Discuss current and future challenges in genomic privacy.
Main Methods:
- Literature review of genomic big data developments.
- Analysis of privacy risks associated with personal genetic information.
- Discussion of ethical and technical challenges in genomic data security.
Main Results:
- Genomic big data is rapidly expanding due to technological progress.
- The accessibility of genetic testing increases privacy vulnerabilities.
- Existing privacy frameworks may be insufficient for genomic data.
Conclusions:
- Genomic big data necessitates robust privacy protection strategies.
- Future research should focus on secure data handling and ethical guidelines.
- Balancing data utility with individual privacy is crucial in genomics.
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