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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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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. |
format | Online Article Text |
id | pubmed-4290799 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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