research-article

A new way to protect privacy in large-scale genome-wide association studies

Authors:

Liina Kamm,

Dan Bogdanov,

Sven Laur,

Jaak ViloAuthors Info & Claims

Bioinformatics, Volume 29, Issue 7

Pages 886 - 893

https://doi.org/10.1093/bioinformatics/btt066

Published: 01 April 2013 Publication History

Abstract

Motivation: Increased availability of various genotyping techniques has initiated a race for finding genetic markers that can be used in diagnostics and personalized medicine. Although many genetic risk factors are known, key causes of common diseases with complex heritage patterns are still unknown. Identification of such complex traits requires a targeted study over a large collection of data. Ideally, such studies bring together data from many biobanks. However, data aggregation on such a large scale raises many privacy issues.

Results: We show how to conduct such studies without violating privacy of individual donors and without leaking the data to third parties. The presented solution has provable security guarantees.

Contact: [email protected]

Supplementary information: Supplementary data are available at Bioinformatics online.

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Fang WCao SHua GMa JYu YHuang QFeng JTan JZan XDuan PYang YWang LZhang KWang L(2024)SecretFlow-SCQL: A Secure Collaborative Query PlatformProceedings of the VLDB Endowment10.14778/3685800.368582117:12(3987-4000)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.14778/3685800.3685821
Hastings MFalk BTsoukalas G(2023)Privacy-Preserving Network AnalyticsManagement Science10.1287/mnsc.2022.458269:9(5482-5500)Online publication date: 1-Sep-2023
https://dl.acm.org/doi/10.1287/mnsc.2022.4582
Zhu XAyday EVitenberg R(2023)A Privacy-Preserving Framework for Conducting Genome-Wide Association Studies Over Outsourced Patient DataIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2022.318294420:3(2390-2405)Online publication date: 1-May-2023
https://dl.acm.org/doi/10.1109/TDSC.2022.3182944
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A new way to protect privacy in large-scale genome-wide association studies
1. Security and privacy
2. Social and professional topics
  1. Computing / technology policy

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Published In

Bioinformatics Volume 29, Issue 7

April 2013

144 pages

ISSN:1367-4803

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Publisher

Oxford University Press, Inc.

United States

Publication History

Published: 01 April 2013

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Fang WCao SHua GMa JYu YHuang QFeng JTan JZan XDuan PYang YWang LZhang KWang L(2024)SecretFlow-SCQL: A Secure Collaborative Query PlatformProceedings of the VLDB Endowment10.14778/3685800.368582117:12(3987-4000)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.14778/3685800.3685821
Hastings MFalk BTsoukalas G(2023)Privacy-Preserving Network AnalyticsManagement Science10.1287/mnsc.2022.458269:9(5482-5500)Online publication date: 1-Sep-2023
https://dl.acm.org/doi/10.1287/mnsc.2022.4582
Zhu XAyday EVitenberg R(2023)A Privacy-Preserving Framework for Conducting Genome-Wide Association Studies Over Outsourced Patient DataIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2022.318294420:3(2390-2405)Online publication date: 1-May-2023
https://dl.acm.org/doi/10.1109/TDSC.2022.3182944
Anagreh MLaud PVainikko E(2022)Privacy-Preserving Parallel Computation of Minimum Spanning ForestSN Computer Science10.1007/s42979-022-01331-63:6Online publication date: 6-Oct-2022
https://dl.acm.org/doi/10.1007/s42979-022-01331-6
Lu JXu YZhang PWang Q(2021)On Secure One-Helper Source Coding With Action-Dependent Side InformationIEEE Transactions on Information Theory10.1109/TIT.2020.302606167:1(95-110)Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1109/TIT.2020.3026061
Zhang YZhao XLi XZhong MCurtis CChen CCulpepper JMoffat ABennett PLerman K(2019)Enabling Privacy-Preserving Sharing of Genomic Data for GWASs in Decentralized NetworksProceedings of the Twelfth ACM International Conference on Web Search and Data Mining10.1145/3289600.3290983(204-212)Online publication date: 30-Jan-2019
https://dl.acm.org/doi/10.1145/3289600.3290983
Tkachenko OWeinert CSchneider THamacher KKim JAhn GKim SKim YLopez JKim T(2018)Large-Scale Privacy-Preserving Statistical Computations for Distributed Genome-Wide Association StudiesProceedings of the 2018 on Asia Conference on Computer and Communications Security10.1145/3196494.3196541(221-235)Online publication date: 29-May-2018
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Bogdanov DKamm LLaur SSokk V(2018)Implementation and Evaluation of an Algorithm for Cryptographically Private Principal Component Analysis on Genomic DataIEEE/ACM Transactions on Computational Biology and Bioinformatics10.1109/TCBB.2018.285881815:5(1427-1432)Online publication date: 1-Sep-2018
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Raisaro JChoi GPradervand SColsenet RJacquemont NRosat NMooser VHubaux J(2018)Protecting Privacy and Security of Genomic Data in i2b2 with Homomorphic Encryption and Differential PrivacyIEEE/ACM Transactions on Computational Biology and Bioinformatics10.1109/TCBB.2018.285478215:5(1413-1426)Online publication date: 1-Sep-2018
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Laud PRandmets JRay ILi NKruegel C(2015)A Domain-Specific Language for Low-Level Secure Multiparty Computation ProtocolsProceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security10.1145/2810103.2813664(1492-1503)Online publication date: 12-Oct-2015
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