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A community assessment of privacy preserving techniques for human genomes

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...

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Detalles Bibliográficos
Autores principales: Jiang, Xiaoqian, Zhao, Yongan, Wang, Xiaofeng, Malin, Bradley, Wang, Shuang, Ohno-Machado, Lucila, Tang, Haixu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4290799/
https://www.ncbi.nlm.nih.gov/pubmed/25521230
http://dx.doi.org/10.1186/1472-6947-14-S1-S1
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author Jiang, Xiaoqian
Zhao, Yongan
Wang, Xiaofeng
Malin, Bradley
Wang, Shuang
Ohno-Machado, Lucila
Tang, Haixu
author_facet Jiang, Xiaoqian
Zhao, Yongan
Wang, Xiaofeng
Malin, Bradley
Wang, Shuang
Ohno-Machado, Lucila
Tang, Haixu
author_sort Jiang, Xiaoqian
collection PubMed
description 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.
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spelling pubmed-42907992015-01-15 A community assessment of privacy preserving techniques for human genomes Jiang, Xiaoqian Zhao, Yongan Wang, Xiaofeng Malin, Bradley Wang, Shuang Ohno-Machado, Lucila Tang, Haixu BMC Med Inform Decis Mak Research Article 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. BioMed Central 2014-12-08 /pmc/articles/PMC4290799/ /pubmed/25521230 http://dx.doi.org/10.1186/1472-6947-14-S1-S1 Text en Copyright © 2014 Jiang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 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.
spellingShingle Research Article
Jiang, Xiaoqian
Zhao, Yongan
Wang, Xiaofeng
Malin, Bradley
Wang, Shuang
Ohno-Machado, Lucila
Tang, Haixu
A community assessment of privacy preserving techniques for human genomes
title A community assessment of privacy preserving techniques for human genomes
title_full A community assessment of privacy preserving techniques for human genomes
title_fullStr A community assessment of privacy preserving techniques for human genomes
title_full_unstemmed A community assessment of privacy preserving techniques for human genomes
title_short A community assessment of privacy preserving techniques for human genomes
title_sort community assessment of privacy preserving techniques for human genomes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4290799/
https://www.ncbi.nlm.nih.gov/pubmed/25521230
http://dx.doi.org/10.1186/1472-6947-14-S1-S1
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