The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Identifying personal microbiomes using metagenomic codes
Open accessAbstract
Significance: Recent surveys of the microbial communities living on and in the human body—the human microbiome—have revealed strong variation in community membership between individuals. Some of this variation is stable over time, leading to speculation that individuals might possess unique microbial “fingerprints” that distinguish them from the population. We rigorously evaluated this idea by combining concepts from microbial ecology and computer science. Our results demonstrated that individuals could be uniquely identified among populations of 100s based on their microbiomes alone. In the case of the gut microbiome, >80% of individuals could still be uniquely identified up to a year later—a result that raises potential privacy concerns for subjects enrolled in human microbiome research projects.
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Metadata
- Authors
- Franzosa, E. A., Huang, K., Meadow, J. F., Gevers, D., Lemon, K. P., Bohannan, B. J. M., & Huttenhower, C.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2015-05-11
- Volume
- 112
- Issue
- 22
- Pages
- E2930-8
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2169945698
- Cited by
- 497
- References
- 7
- FWCI
- 19.17
- Type
- journal article
- Language
- en
- Open access
- green
- Funders
- HHS | National Institutes of Health (HHSN272200900018C, U54HG004969, P50GM098911, R01AI101018, R01HG005969)
- DOD | Army Research Office (W911NF-11-1-0473)
- National Science Foundation (DBI-1053486)
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- Franzosa, E. A., Huang, K., Meadow, J. F., Gevers, D., Lemon, K. P., Bohannan, B. J. M., & Huttenhower, C. (2015). Identifying personal microbiomes using metagenomic codes. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1423854112
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