A community assessment of privacy preserving techniques for human genomes

BMC Medical Informatics and Decision Making

Research Article

Bradley Malin¹  Lucila Ohno-Machado²  Xiaoqian Jiang²  Shuang Wang²  Yongan Zhao³  Haixu Tang³  Xiaofeng Wang³ 

[1] Department of Biomedical Informatics, School of Medicine, Vanderbilt University, 37203, Nashville, TN, USA;Division of Biomedical Informatics, Department of Medicine, University of California, 92093, San Diego, La Jolla, CA, USA;School of Informatics and Computing, Indiana University, 150 Woodlawn Avenue, IN 47401, Bloomington, USA;

关键词: Genome-wide association studies;    Data sharing;    Privacy protection;    Differential privacy;   

DOI  :  10.1186/1472-6947-14-S1-S1

来源: Springer

【 摘 要 】

To answer the need for the rigorous protection of biomedical data, we organized the Critical Assessment of Data Privacy and Protection initiative as a community effort to evaluate privacy-preserving dissemination techniques for biomedical data. We focused on the challenge of sharing aggregate human genomic data (e.g., allele frequencies) in a way that preserves the privacy of the data donors, without undermining the utility of genome-wide association studies (GWAS) or impeding their dissemination. Specifically, we designed two problems for disseminating the raw data and the analysis outcome, respectively, based on publicly available data from HapMap and from the Personal Genome Project. A total of six teams participated in the challenges. The final results were presented at a workshop of the iDASH (integrating Data for Analysis, 'anonymization,' and SHaring) National Center for Biomedical Computing. We report the results of the challenge and our findings about the current genome privacy protection techniques.

【 授权许可】

Unknown   
© Jiang et al.; licensee BioMed Central Ltd. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.