{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T16:01:24Z","timestamp":1783008084704,"version":"3.54.5"},"reference-count":30,"publisher":"Oxford University Press (OUP)","issue":"11","license":[{"start":{"date-parts":[[2021,9,10]],"date-time":"2021-09-10T00:00:00Z","timestamp":1631232000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Office of the Director: Regional Medical Centers","award":["1 OT2 OD026549"],"award-info":[{"award-number":["1 OT2 OD026549"]}]},{"name":"Office of the Director: Regional Medical Centers","award":["1 OT2 OD026554"],"award-info":[{"award-number":["1 OT2 OD026554"]}]},{"name":"Office of the Director: Regional Medical Centers","award":["1 OT2 OD026557"],"award-info":[{"award-number":["1 OT2 OD026557"]}]},{"name":"Office of the Director: Regional Medical Centers","award":["1 OT2 OD026556"],"award-info":[{"award-number":["1 OT2 OD026556"]}]},{"name":"Office of the Director: Regional Medical Centers","award":["1 OT2 OD026550"],"award-info":[{"award-number":["1 OT2 OD026550"]}]},{"name":"Office of the Director: Regional Medical Centers","award":["1 OT2 OD 026552"],"award-info":[{"award-number":["1 OT2 OD 026552"]}]},{"name":"Office of the Director: Regional Medical Centers","award":["1 OT2 OD026553"],"award-info":[{"award-number":["1 OT2 OD026553"]}]},{"name":"Office of the Director: Regional Medical Centers","award":["1 OT2 OD026548"],"award-info":[{"award-number":["1 OT2 OD026548"]}]},{"name":"Office of the Director: Regional Medical Centers","award":["1 OT2 OD026551"],"award-info":[{"award-number":["1 OT2 OD026551"]}]},{"name":"Office of the Director: Regional Medical Centers","award":["1 OT2 OD026555"],"award-info":[{"award-number":["1 OT2 OD026555"]}]},{"name":"Office of the Director: Regional Medical Centers","award":["IAA #: AOD 16037"],"award-info":[{"award-number":["IAA #: AOD 16037"]}]},{"name":"Federally Qualified Health Centers","award":["263201600085U"],"award-info":[{"award-number":["263201600085U"]}]},{"name":"Data and Research Center","award":["5 U2C OD023196"],"award-info":[{"award-number":["5 U2C OD023196"]}]},{"name":"Biobank","award":["1 U24 OD023121"],"award-info":[{"award-number":["1 U24 OD023121"]}]},{"name":"The Participant Center","award":["U24 OD023176"],"award-info":[{"award-number":["U24 OD023176"]}]},{"name":"Participant Technology Systems Center","award":["1 U24 OD023163"],"award-info":[{"award-number":["1 U24 OD023163"]}]},{"name":"Communications and Engagement","award":["3 OT2 OD023205"],"award-info":[{"award-number":["3 OT2 OD023205"]}]},{"name":"Communications and Engagement","award":["3 OT2 OD023206"],"award-info":[{"award-number":["3 OT2 OD023206"]}]},{"name":"Community Partners","award":["1 OT2 OD025277"],"award-info":[{"award-number":["1 OT2 OD025277"]}]},{"name":"Community Partners","award":["3 OT2 OD025315"],"award-info":[{"award-number":["3 OT2 OD025315"]}]},{"name":"Community Partners","award":["1 OT2 OD025337"],"award-info":[{"award-number":["1 OT2 OD025337"]}]},{"name":"Community Partners","award":["1 OT2 OD025276"],"award-info":[{"award-number":["1 OT2 OD025276"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>The study sought to test the feasibility of conducting a phenome-wide association study to characterize phenotypic abnormalities associated with individuals at high risk for lung cancer using electronic health records.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Materials and Methods<\/jats:title>\n                  <jats:p>We used the beta release of the All of Us Researcher Workbench with clinical and survey data from a population of 225 000 subjects. We identified 3 cohorts of individuals at high risk to develop lung cancer based on (1) the 2013 U.S. Preventive Services Task Force criteria, (2) the long-term quitters of cigarette smoking criteria, and (3) the younger age of onset criteria. We applied the logistic regression analysis to identify the significant associations between individuals\u2019 phenotypes and their risk categories. We validated our findings against a lung cancer cohort from the same population and conducted an expert review to understand whether these associations are known or potentially novel.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>We found a total of 214 statistically significant associations (P\u2009&amp;lt;\u2009.05 with a Bonferroni correction and odds ratio\u2009&amp;gt;\u20091.5) enriched in the high-risk individuals from 3 cohorts, and 15 enriched in the low-risk individuals. Forty significant associations enriched in the high-risk individuals and 13 enriched in the low-risk individuals were validated in the cancer cohort. Expert review identified 15 potentially new associations enriched in the high-risk individuals.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>It is feasible to conduct a phenome-wide association study to characterize phenotypic abnormalities associated in high-risk individuals developing lung cancer using electronic health records. The All of Us Research Workbench is a promising resource for the research studies to evaluate and optimize lung cancer screening criteria.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jamia\/ocab174","type":"journal-article","created":{"date-parts":[[2021,8,4]],"date-time":"2021-08-04T19:11:26Z","timestamp":1628104286000},"page":"2313-2324","source":"Crossref","is-referenced-by-count":8,"title":["Characterizing phenotypic abnormalities associated with high-risk individuals developing lung cancer using electronic health records from the <i>All of Us<\/i> researcher workbench"],"prefix":"10.1093","volume":"28","author":[{"given":"Jie","family":"Na","sequence":"first","affiliation":[{"name":"Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nansu","family":"Zong","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David E","family":"Midthun","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Luo","sequence":"additional","affiliation":[{"name":"Department of Preventive Medicine, Northwestern University, Chicago, Illinois, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ping","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guoqian","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2021,9,10]]},"reference":[{"issue":"2","key":"2022032516094209300_ocab174-B1","doi-asserted-by":"crossref","first-page":"69","DOI":"10.3322\/caac.20107","article-title":"Global cancer statistics","volume":"61","author":"Jemal","year":"2011","journal-title":"CA Cancer J Clin"},{"key":"2022032516094209300_ocab174-B2","author":"National Cancer Institute","year":"2020"},{"issue":"5","key":"2022032516094209300_ocab174-B3","doi-asserted-by":"crossref","first-page":"330","DOI":"10.7326\/M13-2771","article-title":"Screening for lung cancer: U.S. Preventive Services Task Force recommendation 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