Imperial College London
Dr Victoria Wright

DrVictoriaWright

Faculty of Medicine, Department of Infectious Disease

Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 3577v.wright

 
 
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Location

 

PaediatricsMedical SchoolSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Chen:2016:bioinformatics/btw758,
author = {Chen, F and Wang, S and Jiang, X and Ding, S and Lu, Y and Kim, J and Sahinalp, SC and Shimizu, C and Burns, JC and Wright, VJ and Png, E and Hibberd, ML and Lloyd, DD and Yang, H and Telenti, A and Bloss, CS and Fox, D and Lauter, K and Ohno-Machado, L},
doi = {bioinformatics/btw758},
journal = {BIOINFORMATICS},
pages = {871--878},
title = {PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS},
url = {http://dx.doi.org/10.1093/bioinformatics/btw758},
volume = {33},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Motivation: We introduce PRINCESS, a privacy-preserving international collaboration framework for analyzing rare disease genetic data that are distributed across different continents. PRINCESS leverages Software Guard Extensions (SGX) and hardware for trustworthy computation. Unlike a traditional international collaboration model, where individual-level patient DNA are physically centralized at a single site, PRINCESS performs a secure and distributed computation over encrypted data, fulfilling institutional policies and regulations for protected health information.Results: To demonstrate PRINCESS’ performance and feasibility, we conducted a family-based allelic association study for Kawasaki Disease, with data hosted in three different continents. The experimental results show that PRINCESS provides secure and accurate analyses much faster than alternative solutions, such as homomorphic encryption and garbled circuits (over 40 000× faster).
AU  - Chen,F
AU  - Wang,S
AU  - Jiang,X
AU  - Ding,S
AU  - Lu,Y
AU  - Kim,J
AU  - Sahinalp,SC
AU  - Shimizu,C
AU  - Burns,JC
AU  - Wright,VJ
AU  - Png,E
AU  - Hibberd,ML
AU  - Lloyd,DD
AU  - Yang,H
AU  - Telenti,A
AU  - Bloss,CS
AU  - Fox,D
AU  - Lauter,K
AU  - Ohno-Machado,L
DO  - bioinformatics/btw758
EP  - 878
PY  - 2016///
SN  - 1367-4803
SP  - 871
TI  - PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS
T2  - BIOINFORMATICS
UR  - http://dx.doi.org/10.1093/bioinformatics/btw758
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000397986500010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/46019
VL  - 33
ER  -
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