Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States
Year: 2016
Type: review
Abstract: Accessing and integrating human genomic data with phenotypes are important for biomedical research. Making genomic data accessible for research purposes, however, must be handled carefully to avoid leakage of sensitive individual information to unauthorized parties and improper use of data. In this article, we focus on data sharing within the scope of data accessibility for research. Current common practices to gain biomedical data access are strictly rule based, without a clear and quantitative measurement of the risk of privacy breaches. In addition, several types of studies require privacy-preserving linkage of genotype and phenotype information across different locations (e.g., genotypes stored in a sequencing facility and phenotypes stored in an electronic health record) to accelerate discoveries. The computer science community has developed a spectrum of techniques for data privacy and confidentiality protection, many of which have yet to be tested on real-world problems. In this article, we discuss clinical, technical, and ethical aspects of genome data privacy and confidentiality in the United States, as well as potential solutions for privacy-preserving genotype-phenotype linkage in biomedical research.
DOI: 10.1111/nyas.13259
Institutions: University of California San Diego, University of San Diego
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Awards: Protecting the pRivacy Of Genomes in REsearch StudieS (PROGRESS), iDASH: Integrating Data for Analysis, Anonymization, and Sharing, Protection of Records: Privacy (PReP) Technology for Medical Research, G663854925, Protect Privacy of Healthcare Data in the Cloud, UC San Diego Clinical and Translational Research Institute, San Diego Biomedical Informatics Education & Research (SABER)
OpenAlex ID: W2523884223
