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基因组学、大数据和广泛同意:预防科学的新伦理前沿。

Genomics, Big Data, and Broad Consent: a New Ethics Frontier for Prevention Science.

机构信息

Department of Psychology, Fordham University, Dealy Hall 441, East Fordham Road, Bronx, NY, 10458, USA.

出版信息

Prev Sci. 2018 Oct;19(7):871-879. doi: 10.1007/s11121-018-0944-z.

Abstract

Emerging technologies for analyzing biospecimens have led to advances in understanding the interacting role of genetics and environment on development and individual responsivity to prevention and intervention programs. The scientific study of gene-environment influences has also benefited from the growth of Big Data tools that allow linking genomic data to health, educational, and other information stored in large integrated datasets. These advances have created a new frontier of ethical challenges for scientists as they collect, store, or engage in secondary use of potentially identifiable information and biospecimens. To address challenges arising from technological advances and the expanding contexts in which potentially identifiable information and biospecimens are collected and stored, the Office of Human Research Protections has revised federal regulations for the protection of human subjects. The revised regulations create a new format, content, and transparency requirements for informed consent, including a new mechanism known as broad consent. Broad consent offers participants a range of choices regarding consent for the storage and future use of their personally identifiable data. These regulations have important implications for how prevention scientists and oversight boards acquire participant consent for the collection, storage, and future use of their data by other investigators for scientific purposes significantly different from the original study. This article describes regulatory changes and challenges affecting traditional informed consent for prevention research, followed by a description of the rationale and requirements for obtaining broad consent, and concludes with a discussion of future challenges involving ongoing transparency and protections for participants and their communities.

摘要

新兴的生物样本分析技术推动了人们对遗传与环境在发育过程中相互作用的理解,也促进了人们对预防和干预措施中个体反应性的认识。基因-环境影响的科学研究也受益于大数据工具的发展,这些工具允许将基因组数据与健康、教育和其他存储在大型综合数据集中的信息联系起来。这些进展为科学家们带来了新的伦理挑战,因为他们需要收集、存储或二次利用可能具有识别性的信息和生物样本。为了解决技术进步和潜在可识别信息及生物样本收集和存储范围扩大所带来的挑战,人体研究保护办公室修订了保护人类受试者的联邦法规。修订后的法规为知情同意创建了新的格式、内容和透明度要求,包括一种新的称为广泛同意的机制。广泛同意为参与者提供了一系列选择,涉及对其个人身份识别数据的存储和未来使用的同意。这些法规对预防科学家和监督委员会如何为其他研究人员出于与原始研究明显不同的科学目的而收集、存储和未来使用其数据获得参与者同意产生了重要影响。本文描述了影响预防研究传统知情同意的法规变化和挑战,接着描述了获得广泛同意的理由和要求,并最后讨论了涉及参与者及其社区持续透明度和保护的未来挑战。

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