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Joshua Denny, M.D., M.S., F.A.C.M.I.
Joshua Denny is an Associate Professor in the Departments of Biomedical Informatics and Medicine at Vanderbilt University Medical Center. He currently focuses on applications of algorithms to accurately identify phenotypes from electronic health record (EHR) data. Using these data, he has led efforts to discover genome-phenome associations to better understand disease risk and drug response. A primary interest of his lab has been development of the phenome-wide association study (PheWAS) method applied to EHRs to rapidly uncover genetic pleiotropy and highlight potential drivers of genetic associations with endophenotypes. He helps lead efforts for local and network pharmacogenetics implementation activities, such as the Vanderbilt PREDICT program, which has tested >14,000 individuals to provide genetic-tailored therapy recommendations. He is part of the Electronic Medical Records and Genomics network, Pharmacogenomics Research Network, a principal investigator in the Implementing Genomics in Practice networks, and is a principal investigator of other grants exploring phenomics, EHR data mining, natural language processing, and medical education. He is past recipient of the American Medical Informatics Association New Investigator, Homer Warner award, and Vanderbilt Chancellor Award for Research. Dr. Denny also remains active in clinical care and teaching.
This page last reviewed on November 10, 2015