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Mapping the inputs analyses and outputs of biobank research systems to identify sources of incidental findings and individual research results for potential return to participants

机译:映射Biobank研究系统的输入分析和输出以确定偶然调查结果的来源和个人研究结果以潜在回报参与者

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摘要

Progress in the debate over returning incidental findings (IFs) and individual research results (IRRs) to research participants who provide specimens and data to biobanks in genetic and genomic research requires a new tool to allow comparison across heterogeneous biobank research systems and in-depth analysis of the sources and types of findings generated for potential return. This paper presents a new visual mapping tool to allow systematic and standardized depiction of () the specimens initially collected, () the materials and datasets then created () the analyses then performed, and finally () the genetic and genomic results generated, including potential IFs and IRRs. For any individual biobank research system, this sequence of four maps can be created to anticipate the sources and types of IFs and IRRs to be generated, to plan how to handle them, and then to manage them responsibly over time. The authors show how this 4-map tool was created, then apply this tool to 4 national biobank systems, demonstrating that this tool can provide a common platform to visualize biobank content, anticipate how IFs and IRRs will arise in a biobank research context, and inform policy development.
机译:返回归还附带调查结果(IFS)和个人研究结果(IRS)对遗传和基因组研究中为BioBanks提供标本和数据的研究结果的进展,需要一种新工具,以便在异质的Biobank研究系统和深入分析中进行比较为潜在回报产生的结果的来源和类型。本文提出了一种新的视觉映射工具,允许()最初收集的样本()所在的样本和数据集进行系统和标准化的描述,然后创建()分析然后进行分析,最后()产生的遗传和基因组结果,包括潜在ifs和isss。对于任何单独的Biobank研究系统,可以创建这一序列来预测要生成的IFS和IFS的来源和类型,以规划如何处理它们,然后随时间负责地管理它们。作者展示了如何创建4架图工具,然后将此工具应用于4个国家Biobank系统,展示该工具可以提供可视化BioBank内容的共同平台,预计在Biobank研究环境中将如何产生IFS和IRC。告知政策制定。

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