Vincent Lam, Shivam Sharma, John L Spouge, I King Jordan, Leonardo Mariño-Ramírez
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In conjunction with these analyses, we developed the US Health Disparities Browser as an interactive web application that enables users to visualize differences in race- and ethnic-group-specific prevalence estimates for 1755 different diseases: https://usdisparities.biosci.gatech.edu/. The web application features a catalog of all diseases represented in the browser, which can be sorted by overall prevalence as well as the variance in prevalence across racial and ethnic groups. The analyses outlined here provide details on the nature and extent of racial and ethnic health disparities in the \"All of Us\" participant cohort, and the accompanying browser can serve as a resource through which researchers can explore these disparities Database URL: https://usdisparities.biosci.gatech.edu.</p>","PeriodicalId":10923,"journal":{"name":"Database: The Journal of Biological Databases and Curation","volume":"2024 ","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11363958/pdf/","citationCount":"0","resultStr":"{\"title\":\"Landscape of racial and ethnic health disparities in the All of Us Research Program.\",\"authors\":\"Vincent Lam, Shivam Sharma, John L Spouge, I King Jordan, Leonardo Mariño-Ramírez\",\"doi\":\"10.1093/database/baae082\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The All of Us Research Program (\\\"All of Us\\\") is an initiative led by the National Institutes of Health whose goal is to advance research on personalized medicine and health equity through the collection of genetic, environmental, demographic, and health data from volunteer participants who reside in the USA. 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引用次数: 0
摘要
我们所有人 "研究计划("All of Us")是由美国国立卫生研究院(National Institutes of Health)领导的一项计划,其目标是通过收集居住在美国的志愿参与者的基因、环境、人口和健康数据,推动个性化医疗和健康公平方面的研究。该计划强调招募多样化的参与者群体,这使 "我们所有人 "成为调查健康差异的有效平台。在这项工作中,我们分析了参与者的电子健康记录(EHR)数据,以确定 "我们所有人 "队列中可观察到种族和民族流行率差异的疾病和疾病类别。结合这些分析,我们开发了 "美国健康差异浏览器"(US Health Disparities Browser)这一交互式网络应用程序,使用户能够直观地看到 1755 种不同疾病的种族和族裔群体患病率估计值的差异:https://usdisparities.biosci.gatech.edu/。该网络应用程序提供了浏览器中所有疾病的目录,可按总体患病率以及不同种族和族裔群体患病率的差异进行排序。本文概述的分析详细说明了 "我们所有人 "参与者队列中种族和民族健康差异的性质和程度,随附的浏览器可作为研究人员探索这些差异的资源 数据库网址:https://usdisparities.biosci.gatech.edu。
Landscape of racial and ethnic health disparities in the All of Us Research Program.
The All of Us Research Program ("All of Us") is an initiative led by the National Institutes of Health whose goal is to advance research on personalized medicine and health equity through the collection of genetic, environmental, demographic, and health data from volunteer participants who reside in the USA. The program's emphasis on recruiting a diverse participant cohort makes "All of Us" an effective platform for investigating health disparities. In this work, we analyzed participant electronic health record (EHR) data to identify the diseases and disease categories in the "All of Us" cohort for which racial and ethnic prevalence disparities can be observed. In conjunction with these analyses, we developed the US Health Disparities Browser as an interactive web application that enables users to visualize differences in race- and ethnic-group-specific prevalence estimates for 1755 different diseases: https://usdisparities.biosci.gatech.edu/. The web application features a catalog of all diseases represented in the browser, which can be sorted by overall prevalence as well as the variance in prevalence across racial and ethnic groups. The analyses outlined here provide details on the nature and extent of racial and ethnic health disparities in the "All of Us" participant cohort, and the accompanying browser can serve as a resource through which researchers can explore these disparities Database URL: https://usdisparities.biosci.gatech.edu.
期刊介绍:
Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data.
Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.