The "All of Us" Research Program.

The "All of Us" Research Program.
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DOI:
10.1056/nejmsr1809937
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发表时间:
2019-08-15
期刊:
The New England journal of medicine
影响因子:
--
通讯作者:
Dishman E
Dishman E
中科院分区:
其他
文献类型:
--
作者:
All of Us Research Program Investigators;Denny JC;Rutter JL;Goldstein DB;Philippakis A;Smoller JW;Jenkins G;Dishman E

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从观察性队列研究中获得的知识极大地促进了疾病的预防和治疗。然而,这些队列中的许多都很小,缺乏多样性,或者没有提供全面的表型数据。我们所有人研究计划计划在美国招收至少100万人的多元化群体,以加快生物医学研究并改善健康。该计划旨在使参与者能够获得研究成果,并正在开发新的方法来生成、获取数据,并使获得批准的研究人员能够广泛获得数据。我们所有人于2018年5月开始招生,目前从340多个招聘网站中招募18岁或18岁以上的参与者。该方案议定书的内容包括健康问卷、电子健康记录、体格测量、数字健康技术的使用以及生物标本的收集和分析。截至2019年7月,已有超过17.5万名参与者捐赠了生物检疫品。这些参与者中超过80%来自历史上在生物医学研究中代表性不足的群体。已经收集了来自34个地点的11.2万多名参与者的电子健康记录数据。我们所有人的数据库应该允许研究人员考虑生活方式、社会经济因素、环境和生物学特征的个体差异,以提高准确的诊断、预防和治疗。
Knowledge gained from observational cohort studies has dramatically advanced the prevention and treatment of diseases. Many of these cohorts, however, are small, lack diversity, or do not provide comprehensive phenotype data. The All of Us Research Program plans to enroll a diverse group of at least 1 million persons in the United States in order to accelerate biomedical research and improve health. The program aims to make the research results accessible to participants, and it is developing new approaches to generate, access, and make data broadly available to approved researchers. All of Us opened for enrollment in May 2018 and currently enrolls participants 18 years of age or older from a network of more than 340 recruitment sites. Elements of the program protocol include health questionnaires, electronic health records (EHRs), physical measurements, the use of digital health technology, and the collection and analysis of biospecimens. As of July 2019, more than 175,000 participants had contributed biospecimens. More than 80% of these participants are from groups that have been historically underrepresented in biomedical research. EHR data on more than 112,000 participants from 34 sites have been collected. The All of Us data repository should permit researchers to take into account individual differences in lifestyle, socioeconomic factors, environment, and biologic characteristics in order to advance precision diagnosis, prevention, and treatment.