超越基因：蛋白质组数据的可重新识别性及其对个性化医学的影响。
Beyond Genes: Re-Identifiability of Proteomic Data and Its Implications for Personalized Medicine.
机构信息
VITO Health, Boeretang 200, Mol 2400, Belgium.
Centre for Proteomics, University of Antwerpen, Antwerp 2020, Belgium.
出版信息
Genes (Basel). 2019 Sep 5;10(9):682. doi: 10.3390/genes10090682.
Abstract
The increasing availability of high throughput proteomics data provides us with opportunities as well as posing new ethical challenges regarding data privacy and re-identifiability of participants. Moreover, the fact that proteomics represents a level between the genotype and the phenotype further exacerbates the situation, introducing dilemmas related to publicly available data, anonymization, ownership of information and incidental findings. In this paper, we try to differentiate proteomics from genomics data and cover the ethical challenges related to proteomics data sharing. Finally, we give an overview of the proposed solutions and the outlook for future studies.
摘要
高通量蛋白质组学数据的日益普及为我们提供了机会，同时也对参与者的数据隐私和可重新识别性提出了新的伦理挑战。此外，蛋白质组学代表了基因型和表型之间的一个层次，这进一步加剧了这种情况，带来了与公开数据、匿名化、信息所有权和偶然发现相关的困境。在本文中，我们试图将蛋白质组学与基因组学数据区分开来，并涵盖与蛋白质组学数据共享相关的伦理挑战。最后，我们概述了提出的解决方案和未来研究的展望。
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