Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Privacy-Preserving Microbiome Analysis Using Secure Computation

Justin Wagner, Joseph N. Paulson, Xiao-Shaun Wang, Bobby Bhattacharjee, Héctor Corrada Bravo
doi: https://doi.org/10.1101/025999
Justin Wagner
1University of Maryland, College Park, Center for Bioinformatics and Computational Biology
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Joseph N. Paulson
2University of Maryland, College Park, Center for Bioinformatics and Computational Biology
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Xiao-Shaun Wang
3University of Maryland, College Park, Maryland Cybersecurity Center
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Bobby Bhattacharjee
4University of Maryland, College Park, Maryland Cybersecurity Center
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Héctor Corrada Bravo
5University of Maryland, College Park, Center for Bioinformatics and Computational Biology
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Motivation Developing targeted therapeutics and identifying biomarkers relies on large amounts of patient data. Beyond human DNA, researchers now investigate the DNA of micro-organisms inhabiting the human body. An individual’s collection of microbial DNA consistently identifies that person and could be used to link a real-world identity to a sensitive attribute in a research dataset. Unfortunately, the current suite of DNA-specific privacy-preserving analysis tools does not meet the requirements for microbiome sequencing studies.

Results We augment an existing categorization of genomic-privacy attacks to incorporate microbiome sequencing and provide an implementation of metagenomic analyses using secure computation. Our implementation allows researchers to perform analysis over combined data without revealing individual patient attributes. We implement three metagenomic analyses and perform an evaluation on real datasets for comparative analysis. We use our implementation to simulate sharing data between four policy-domains and measure the increase in significant discoveries. Additionally, we describe an application of our implementation to form patient pools of data to allow drug companies to query against and compensate patients for the analysis.

Availability The software is freely available for download at: http://cbcb.umd.edu/∼hcorrada/projects/secureseq.html

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Back to top
PreviousNext
Posted September 03, 2015.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Privacy-Preserving Microbiome Analysis Using Secure Computation
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Privacy-Preserving Microbiome Analysis Using Secure Computation
Justin Wagner, Joseph N. Paulson, Xiao-Shaun Wang, Bobby Bhattacharjee, Héctor Corrada Bravo
bioRxiv 025999; doi: https://doi.org/10.1101/025999
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
Privacy-Preserving Microbiome Analysis Using Secure Computation
Justin Wagner, Joseph N. Paulson, Xiao-Shaun Wang, Bobby Bhattacharjee, Héctor Corrada Bravo
bioRxiv 025999; doi: https://doi.org/10.1101/025999

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Bioinformatics
Subject Areas
All Articles
  • Animal Behavior and Cognition (2507)
  • Biochemistry (4953)
  • Bioengineering (3454)
  • Bioinformatics (15133)
  • Biophysics (6862)
  • Cancer Biology (5361)
  • Cell Biology (7692)
  • Clinical Trials (138)
  • Developmental Biology (4507)
  • Ecology (7111)
  • Epidemiology (2059)
  • Evolutionary Biology (10185)
  • Genetics (7493)
  • Genomics (9752)
  • Immunology (4806)
  • Microbiology (13151)
  • Molecular Biology (5111)
  • Neuroscience (29302)
  • Paleontology (203)
  • Pathology (833)
  • Pharmacology and Toxicology (1457)
  • Physiology (2118)
  • Plant Biology (4716)
  • Scientific Communication and Education (1004)
  • Synthetic Biology (1335)
  • Systems Biology (3994)
  • Zoology (766)