Genome Med. 2014 Feb 28;6(2):10. doi: 10.1186/gm527.
Since its initiation in 2005, the Harvard Personal Genome Project has enrolled thousands of volunteers interested in publicly sharing their genome, health and trait data. Because these data are highly identifiable, we use an 'open consent' framework that purposefully excludes promises about privacy and requires participants to demonstrate comprehension prior to enrollment.
Our model of non-anonymous, public genomes has led us to a highly participatory model of researcher-participant communication and interaction. The participants, who are highly committed volunteers, self-pursue and donate research-relevant datasets, and are actively engaged in conversations with both our staff and other Personal Genome Project participants. We have quantitatively assessed these communications and donations, and report our experiences with returning research-grade whole genome data to participants. We also observe some of the community growth and discussion that has occurred related to our project.
We find that public non-anonymous data is valuable and leads to a participatory research model, which we encourage others to consider. The implementation of this model is greatly facilitated by web-based tools and methods and participant education. Project results are long-term proactive participant involvement and the growth of a community that benefits both researchers and participants.
自 2005 年启动以来,哈佛个人基因组计划已招募了数千名对公开分享他们的基因组、健康和特征数据感兴趣的志愿者。由于这些数据具有高度可识别性,我们采用了“开放同意”框架,该框架故意排除了关于隐私的承诺,并要求参与者在注册前证明自己的理解。
我们的非匿名公开基因组模型使我们能够与研究人员和参与者进行高度参与式的沟通和互动。这些参与者是高度投入的志愿者,他们自行追求并捐赠与研究相关的数据集,并积极参与与我们的工作人员和其他个人基因组计划参与者的对话。我们已经对这些交流和捐赠进行了定量评估,并报告了我们向参与者返还研究级全基因组数据的经验。我们还观察到与我们的项目相关的一些社区增长和讨论。
我们发现公开的非匿名数据是有价值的,并导致了一种参与式的研究模式,我们鼓励其他人考虑这种模式。该模型的实施得益于基于网络的工具和方法以及参与者教育。项目成果是长期的、积极的参与者参与以及受益于研究人员和参与者的社区的发展。