Hood Leroy, Lovejoy Jennifer C, Price Nathan D
Institute for Systems Biology, 401 Terry Avenue North, Seattle 98109, WA, USA.
BMC Med. 2015 Jan 9;13:4. doi: 10.1186/s12916-014-0238-7.
The Hundred Person Wellness Project (HPWP) is a 10-month pilot study of 100 'well' individuals where integrated data from whole-genome sequencing, gut microbiome, clinical laboratory tests and quantified self measures from each individual are used to provide actionable results for health coaching with the goal of optimizing wellness and minimizing disease. In a commentary in BMC Medicine, Diamandis argues that HPWP and similar projects will likely result in 'unnecessary and potential harmful over-testing'. We argue that this new approach will ultimately lead to lower costs, better healthcare, innovation and economic growth. The central points of the HPWP are: 1) it is focused on optimizing wellness through longitudinal data collection, integration and mining of individual data clouds, enabling development of predictive models of wellness and disease that will reveal actionable possibilities; and 2) by extending this study to 100,000 well people, we will establish multiparameter, quantifiable wellness metrics and identify markers for wellness to early disease transitions for most common diseases, which will ultimately allow earlier disease intervention, eventually transitioning the individual early on from a disease back to a wellness trajectory.
百人健康项目（HPWP）是一项针对100名“健康”个体开展的为期10个月的试点研究，该研究运用来自全基因组测序、肠道微生物群、临床实验室检测以及每个个体的自我量化测量的综合数据，为健康指导提供可操作的结果，目标是优化健康状况并将疾病风险降至最低。在《BMC医学》的一篇评论文章中，迪亚曼迪斯认为HPWP及类似项目可能会导致“不必要且潜在有害的过度检测”。我们认为这种新方法最终将带来成本降低、更好的医疗保健、创新以及经济增长。HPWP的核心要点包括：1）它专注于通过纵向数据收集、个体数据云的整合与挖掘来优化健康状况，从而能够开发出健康和疾病的预测模型，揭示可操作的可能性；2）通过将这项研究扩展至10万名健康人群，我们将建立多参数、可量化的健康指标，并识别大多数常见疾病从健康到疾病早期转变的标志物，这最终将使疾病能够更早得到干预，最终使个体早日从疾病状态回归到健康轨迹。
