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Approaches to informed consent for hypothesis-testing and hypothesis-generating clinical genomics research

机译:知情同意的方法用于假设检验和产生假设的临床基因组学研究

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摘要

Background Massively-parallel sequencing (MPS) technologies create challenges for informed consent of research participants given the enormous scale of the data and the wide range of potential results. Discussion We propose that the consent process in these studies be based on whether they use MPS to test a hypothesis or to generate hypotheses. To demonstrate the differences in these approaches to informed consent, we describe the consent processes for two MPS studies. The purpose of our hypothesis-testing study is to elucidate the etiology of rare phenotypes using MPS. The purpose of our hypothesis-generating study is to test the feasibility of using MPS to generate clinical hypotheses, and to approach the return of results as an experimental manipulation. Issues to consider in both designs include: volume and nature of the potential results, primary versus secondary results, return of individual results, duty to warn, length of interaction, target population, and privacy and confidentiality. Summary The categorization of MPS studies as hypothesis-testing versus hypothesis-generating can help to clarify the issue of so-called incidental or secondary results for the consent process, and aid the communication of the research goals to study participants.
机译:背景技术鉴于数据的规模巨大和潜在的结果广泛,大规模并行测序(MPS)技术为研究参与者的知情同意带来了挑战。讨论我们建议这些研究中的同意过程应基于他们是否使用MPS检验假设或生成假设。为了证明这些知情同意方法的差异,我们描述了两项MPS研究的同意过程。我们的假设检验研究的目的是阐明使用MPS的罕见表型的病因。我们的假设生成研究的目的是测试使用MPS生成临床假设的可行性,并将结果的返回作为实验操作进行处理。两种设计都需要考虑的问题包括:潜在结果的数量和性质,主要结果与次要结果,单个结果的返回,警告责任,互动时间,目标人群以及隐私和机密性。总结将MPS研究分为假设检验和假设生成两类有助于澄清同意过程中所谓的偶然或次要结果的问题,并有助于将研究目标传达给研究参与者。

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