{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T20:06:09Z","timestamp":1792785969034,"version":"4.5.0"},"reference-count":37,"publisher":"Oxford University Press (OUP)","issue":"4","funder":[{"name":"National Human Genome Research"},{"name":"Intramural Research","award":["ZIA HG200417"],"award-info":[{"award-number":["ZIA HG200417"]}]},{"DOI":"10.13039\/100000092","name":"National Library of Medicine","doi-asserted-by":"publisher","award":["R01LM010685"],"award-info":[{"award-number":["R01LM010685"]}],"id":[{"id":"10.13039\/100000092","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,4,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Importance<\/jats:title>\n                    <jats:p>Knowledge gained from cohort studies has dramatically advanced both public and precision health. The All of Us Research Program seeks to enroll 1 million diverse participants who share multiple sources of data, providing unique opportunities for research. It is important to understand the phenomic profiles of its participants to conduct research in this cohort.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>More than 280\u00a0000 participants have shared their electronic health records (EHRs) in the All of Us Research Program. We aim to understand the phenomic profiles of this cohort through comparisons with those in the US general population and a well-established nation-wide cohort, UK Biobank, and to test whether association results of selected commonly studied diseases in the All of Us cohort were comparable to those in UK Biobank.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>We included participants with EHRs in All of Us and participants with health records from UK Biobank. The estimates of prevalence of diseases in the US general population were obtained from the Global Burden of Diseases (GBD) study. We conducted phenome-wide association studies (PheWAS) of 9 commonly studied diseases in both cohorts.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>This study included 287\u00a0012 participants from the All of Us EHR cohort and 502\u00a0477 participants from the UK Biobank. A total of 314 diseases curated by the GBD were evaluated in All of Us, 80.9% (N\u2009=\u2009254) of which were more common in All of Us than in the US general population [prevalence ratio (PR) &amp;gt;1.1, P\u2009&amp;lt;\u20092\u2009\u00d7\u200910\u22125]. Among 2515 diseases and phenotypes evaluated in both All of Us and UK Biobank, 85.6% (N\u2009=\u20092152) were more common in All of Us (PR &amp;gt;1.1, P\u2009&amp;lt;\u20092\u2009\u00d7\u200910\u22125). The Pearson correlation coefficients of effect sizes from PheWAS between All of Us and UK Biobank were 0.61, 0.50, 0.60, 0.57, 0.40, 0.53, 0.46, 0.47, and 0.24 for ischemic heart diseases, lung cancer, chronic obstructive pulmonary disease, dementia, colorectal cancer, lower back pain, multiple sclerosis, lupus, and cystic fibrosis, respectively.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>Despite the differences in prevalence of diseases in All of Us compared to the US general population or the UK Biobank, our study supports that All of Us can facilitate rapid investigation of a broad range of diseases.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Most diseases were more common in All of Us than in the general US population or the UK Biobank. Results of disease-disease association tests from All of Us are comparable to those estimated in another well-studied national cohort.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/jamia\/ocad260","type":"journal-article","created":{"date-parts":[[2024,1,8]],"date-time":"2024-01-08T16:34:27Z","timestamp":1704731667000},"page":"846-854","source":"Crossref","is-referenced-by-count":52,"title":["Comparison of phenomic profiles in the\n                    <i>All of Us<\/i>\n                    Research Program against the US general population and the UK Biobank"],"prefix":"10.1093","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0149-5661","authenticated-orcid":false,"given":"Chenjie","family":"Zeng","sequence":"first","affiliation":[{"name":"National Human Genome Research Institute, National Institutes of Health , Bethesda, MD, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David J","family":"Schlueter","sequence":"additional","affiliation":[{"name":"National Human Genome Research Institute, National Institutes of Health , Bethesda, MD, United States"},{"name":"Department of Health and Society, University of Toronto, Scarborough , Toronto, ON, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tam C","family":"Tran","sequence":"additional","affiliation":[{"name":"National Human Genome Research Institute, National Institutes of Health , Bethesda, MD, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anav","family":"Babbar","sequence":"additional","affiliation":[{"name":"National Human Genome Research Institute, National Institutes of Health , Bethesda, MD, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas","family":"Cassini","sequence":"additional","affiliation":[{"name":"National Human Genome Research Institute, National Institutes of Health , Bethesda, MD, United States"},{"name":"Department of Pediatrics, Vanderbilt University Medical Center , Nashville, TN 37232, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lisa A","family":"Bastarache","sequence":"additional","affiliation":[{"name":"Center for Precision Medicine, Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Josh C","family":"Denny","sequence":"additional","affiliation":[{"name":"National Human Genome Research Institute, National Institutes of Health , Bethesda, MD, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2024,1,23]]},"reference":[{"issue":"23","key":"2024040320023079300_ocad260-B1","doi-asserted-by":"crossref","first-page":"1635","DOI":"10.1056\/NEJM199006073222304","article-title":"Changes in risk factors and the decline in mortality from cardiovascular disease. 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