Joshua Denny

Joshua Charles Denny is an American physician and medical researcher who is the chief executive officer of the All of Us research program at the National Institutes of Health, where he has worked since 2020. He previously served as Professor of Biomedical Informatics and Medicine, founding Director of the Center for Precision Medicine, and Vice President for Personalized Medicine at Vanderbilt University Medical Center. He is an elected member of the National Academy of Medicine, the American Society for Clinical Investigation, and the American College of Medical Informatics. Provided by Wikipedia
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  1. 1
    Computable phenotypes to identify respiratory viral infections in the All of Us research program

    Computable phenotypes to identify respiratory viral infections in the All of Us research program by Bennett J. Waxse, Fausto Andres Bustos Carrillo, Tam C. Tran, Huan Mo, Emily E. Ricotta, Joshua C. Denny

    Published 2025-05-01
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  2. 2
    Comparison of HLA allelic imputation programs.

    Comparison of HLA allelic imputation programs. by Jason H Karnes, Christian M Shaffer, Lisa Bastarache, Silvana Gaudieri, Andrew M Glazer, Heidi E Steiner, Jonathan D Mosley, Simon Mallal, Joshua C Denny, Elizabeth J Phillips, Dan M Roden

    Published 2017-01-01
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  3. 3
    Genetically determined serum urate levels and cardiovascular and other diseases in UK Biobank cohort: A phenome-wide mendelian randomization study.

    Genetically determined serum urate levels and cardiovascular and other diseases in UK Biobank cohort: A phenome-wide mendelian randomization study. by Xue Li, Xiangrui Meng, Yazhou He, Athina Spiliopoulou, Maria Timofeeva, Wei-Qi Wei, Aliya Gifford, Tian Yang, Tim Varley, Ioanna Tzoulaki, Peter Joshi, Joshua C Denny, Paul Mckeigue, Harry Campbell, Evropi Theodoratou

    Published 2019-10-01
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  4. 4
    Phenome-wide association of APOE alleles in the All of Us Research ProgramResearch in context

    Phenome-wide association of APOE alleles in the All of Us Research ProgramResearch in context by Ehsan Khajouei, Valentina Ghisays, Ignazio S. Piras, Kiana L. Martinez, Anthony T. Vicenti, Marcus Naymik, Preston Ngo, Tam C. Tran, Joshua C. Denny, Travis J. Wheeler, Matthew J. Huentelman, Eric M. Reiman, Jason H. Karnes

    Published 2025-07-01
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  5. 5
    Admixture mapping and subsequent fine-mapping suggests a biologically relevant and novel association on chromosome 11 for type 2 diabetes in African Americans.

    Admixture mapping and subsequent fine-mapping suggests a biologically relevant and novel association on chromosome 11 for type 2 diabetes in African Americans. by Janina M Jeff, Loren L Armstrong, Marylyn D Ritchie, Joshua C Denny, Abel N Kho, Melissa A Basford, Wendy A Wolf, Jennifer A Pacheco, Rongling Li, Rex L Chisholm, Dan M Roden, M Geoffrey Hayes, Dana C Crawford

    Published 2014-01-01
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  6. 6
    Relationship between very low low-density lipoprotein cholesterol concentrations not due to statin therapy and risk of type 2 diabetes: A US-based cross-sectional observational study using electronic health records.

    Relationship between very low low-density lipoprotein cholesterol concentrations not due to statin therapy and risk of type 2 diabetes: A US-based cross-sectional observational stu... by QiPing Feng, Wei-Qi Wei, Cecilia P Chung, Rebecca T Levinson, Alexandra C Sundermann, Jonathan D Mosley, Lisa Bastarache, Jane F Ferguson, Nancy J Cox, Dan M Roden, Joshua C Denny, MacRae F Linton, Digna R Velez Edwards, C Michael Stein

    Published 2018-08-01
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  7. 7
    Genome-wide meta-analysis identifies novel risk loci for uterine fibroids within and across multiple ancestry groups

    Genome-wide meta-analysis identifies novel risk loci for uterine fibroids within and across multiple ancestry groups by Jeewoo Kim, Ariel Williams, Hannah Noh, Elizabeth A. Jasper, Sarah H. Jones, James A. Jaworski, Megan M. Shuey, Edward A. Ruiz-Narváez, Lauren A. Wise, Julie R. Palmer, John Connolly, Jacob M. Keaton, Joshua C. Denny, Atlas Khan, Mohammad A. Abbass, Laura J. Rasmussen-Torvik, Leah C. Kottyan, Purnima Madhivanan, Karl Krupp, Wei-Qi Wei, Todd L. Edwards, Digna R. Velez Edwards, Jacklyn N. Hellwege

    Published 2025-03-01
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  8. 8
    Multi-ancestry genome- and phenome-wide association studies of diverticular disease in electronic health records with natural language processing enriched phenotyping algorithm.

    Multi-ancestry genome- and phenome-wide association studies of diverticular disease in electronic health records with natural language processing enriched phenotyping algorithm. by Yoonjung Yoonie Joo, Jennifer A Pacheco, William K Thompson, Laura J Rasmussen-Torvik, Luke V Rasmussen, Frederick T J Lin, Mariza de Andrade, Kenneth M Borthwick, Erwin Bottinger, Andrew Cagan, David S Carrell, Joshua C Denny, Stephen B Ellis, Omri Gottesman, James G Linneman, Jyotishman Pathak, Peggy L Peissig, Ning Shang, Gerard Tromp, Annapoorani Veerappan, Maureen E Smith, Rex L Chisholm, Andrew J Gawron, M Geoffrey Hayes, Abel N Kho

    Published 2023-01-01
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  9. 9
    Genome-wide study of resistant hypertension identified from electronic health records.

    Genome-wide study of resistant hypertension identified from electronic health records. by Logan Dumitrescu, Marylyn D Ritchie, Joshua C Denny, Nihal M El Rouby, Caitrin W McDonough, Yuki Bradford, Andrea H Ramirez, Suzette J Bielinski, Melissa A Basford, High Seng Chai, Peggy Peissig, David Carrell, Jyotishman Pathak, Luke V Rasmussen, Xiaoming Wang, Jennifer A Pacheco, Abel N Kho, M Geoffrey Hayes, Martha Matsumoto, Maureen E Smith, Rongling Li, Rhonda M Cooper-DeHoff, Iftikhar J Kullo, Christopher G Chute, Rex L Chisholm, Gail P Jarvik, Eric B Larson, David Carey, Catherine A McCarty, Marc S Williams, Dan M Roden, Erwin Bottinger, Julie A Johnson, Mariza de Andrade, Dana C Crawford

    Published 2017-01-01
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  10. 10
    Integration of sequence data from a Consanguineous family with genetic data from an outbred population identifies PLB1 as a candidate rheumatoid arthritis risk gene.

    Integration of sequence data from a Consanguineous family with genetic data from an outbred population identifies PLB1 as a candidate rheumatoid arthritis risk gene. by Yukinori Okada, Dorothee Diogo, Jeffrey D Greenberg, Faten Mouassess, Walid A L Achkar, Robert S Fulton, Joshua C Denny, Namrata Gupta, Daniel Mirel, Stacy Gabriel, Gang Li, Joel M Kremer, Dimitrios A Pappas, Robert J Carroll, Anne E Eyler, Gosia Trynka, Eli A Stahl, Jing Cui, Richa Saxena, Marieke J H Coenen, Henk-Jan Guchelaar, Tom W J Huizinga, Philippe Dieudé, Xavier Mariette, Anne Barton, Helena Canhão, João E Fonseca, Niek de Vries, Paul P Tak, Larry W Moreland, S Louis Bridges, Corinne Miceli-Richard, Hyon K Choi, Yoichiro Kamatani, Pilar Galan, Mark Lathrop, Towfique Raj, Philip L De Jager, Soumya Raychaudhuri, Jane Worthington, Leonid Padyukov, Lars Klareskog, Katherine A Siminovitch, Peter K Gregersen, Elaine R Mardis, Thurayya Arayssi, Layla A Kazkaz, Robert M Plenge

    Published 2014-01-01
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