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A study paradigm integrating prospective epidemiologic cohorts and electronic health records to identify disease biomarkers

Defining the full spectrum of human disease associated with a biomarker is necessary to advance the biomarker into clinical practice. We hypothesize that associating biomarker measurements with electronic health record (EHR) populations based on shared genetic architectures would establish the clini...

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Bibliographic Details
Published in:Nat Commun
Main Authors: Mosley, Jonathan D., Feng, QiPing, Wells, Quinn S., Van Driest, Sara L., Shaffer, Christian M., Edwards, Todd L., Bastarache, Lisa, Wei, Wei-Qi, Davis, Lea K., McCarty, Catherine A., Thompson, Will, Chute, Christopher G., Jarvik, Gail P., Gordon, Adam S., Palmer, Melody R., Crosslin, David R., Larson, Eric B., Carrell, David S., Kullo, Iftikhar J., Pacheco, Jennifer A., Peissig, Peggy L., Brilliant, Murray H., Linneman, James G., Namjou, Bahram, Williams, Marc S., Ritchie, Marylyn D., Borthwick, Kenneth M., Verma, Shefali S., Karnes, Jason H., Weiss, Scott T., Wang, Thomas J., Stein, C. Michael, Denny, Josh C., Roden, Dan M.
Format: Artigo
Language:Inglês
Published: Nature Publishing Group UK 2018
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Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6117367/
https://ncbi.nlm.nih.gov/pubmed/30166544
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-018-05624-4
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