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Human microbiome privacy risks associated with summary statistics.
1Institute of Environmental Science and Department of Environmental Science, Hankuk University of Foreign Studies, Yong-In, Korea.
Plos One
|April 2, 2021
Summary
Human microbiome association studies (HMAS) data can pose privacy risks. A simple test using taxonomic profiles can reveal an individual's microbiome membership in a study, especially with species-level data.
Area of Science:
- Microbiology
- Bioinformatics
- Data Privacy
Background:
- Human microbiome association studies (HMAS) link microbial communities to host physiology.
- Increasing HMAS data availability raises concerns about sensitive metadata and individual privacy risks.
Purpose of the Study:
- To demonstrate a privacy risk in HMAS data.
- To show that an individual's microbiome membership can be revealed from HMAS data.
Main Methods:
- Developed a test statistic using individual taxonomic profiles and HMAS summary statistics.
- Simulated HMAS data to assess privacy risks.
Main Results:
- A simple test statistic can identify an individual's microbiome membership within an HMAS dataset.
- Species-level taxonomic data from small-scale HMAS presents a significant privacy vulnerability.
Conclusions:
- HMAS data requires robust privacy measures.
- Assessing HMAS privacy risk early in study design using simulation is recommended.
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