Article
Characterizing phenotypic abnormalities associated with high-risk individuals developing lung cancer using electronic health records from the All of Us researcher workbench.
Journal of the American Medical Informatics Association : JAMIA - 12 Oct 2021
Na Jie, Zong Nansu, Wang Chen, Midthun David E, Luo Yuan, Yang Ping, Jiang Guoqian
Abstract excerpt
OBJECTIVE: 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. MATERIALS AND METHODS: 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...
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