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A study paradigm integrating prospective epidemiologic cohorts and electronic health records to identify disease biomarkers.
Mosley JD, Feng Q, Wells QS, Van Driest SL, Shaffer CM, Edwards TL, Bastarache L, Wei WQ, Davis LK, McCarty CA, Thompson W, Chute CG, Jarvik GP, Gordon AS, Palmer MR, Crosslin DR, Larson EB, Carrell DS, Kullo IJ, Pacheco JA, Peissig PL, Brilliant MH, Linneman JG, Namjou B, Williams MS, Ritchie MD, Borthwick KM, Verma SS, Karnes JH, Weiss ST, Wang TJ, Stein CM, Denny JC, Roden DM. Mosley JD, et al. Among authors: wei wq. Nat Commun. 2018 Aug 30;9(1):3522. doi: 10.1038/s41467-018-05624-4. Nat Commun. 2018. PMID: 30166544 Free PMC article.
Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study.
Kho AN, Hayes MG, Rasmussen-Torvik L, Pacheco JA, Thompson WK, Armstrong LL, Denny JC, Peissig PL, Miller AW, Wei WQ, Bielinski SJ, Chute CG, Leibson CL, Jarvik GP, Crosslin DR, Carlson CS, Newton KM, Wolf WA, Chisholm RL, Lowe WL. Kho AN, et al. Among authors: wei wq. J Am Med Inform Assoc. 2012 Mar-Apr;19(2):212-8. doi: 10.1136/amiajnl-2011-000439. Epub 2011 Nov 19. J Am Med Inform Assoc. 2012. PMID: 22101970 Free PMC article.
265 results