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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...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:Nat Commun
Κύριοι συγγραφείς: 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.
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: Nature Publishing Group UK 2018
Θέματα:
Διαθέσιμο Online: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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