The Electronic Medical Records and Genomics study: Design and analytic framework for assessing the impact of genome-informed risk assessments.
Limdi N, Beasley TM, Cortopassi J, Davis B, Bangash H, Chen J, Chisholm RL, Chung WK, Cimino JJ, Connolly J, Crosslin DR, Davis KW, DiVietro A, Esplin ED, Freimuth B, Gordon A, Hakonarson H, Hamed M, He M, Hoell C, Holm I, Hripscak G, Irvin MR, Jarvik GP, Karavite D, Karlson EW, Kenny EE, Khan A, Kiryluk K, Knerr S, Korf B, Kottyan L, Kullo I, Larkin K, Lennon N, Linder JE, Manolio T, Martin LJ, McNally EM, Morse J, Murphy S, Namjou B, Odgis JA, Orlando L, Pacheco J, Peterson JF, Pineda-Alvarez DE, Prows C, Puckelwartz M, Purcell J, Rasmussen-Torvik L, Rehm H, Roden DM, Rosenthal EA, Rowley R, Sabatello M, Schaid D, Sharp R, Smith JL, Smoller JW, Soper ER, Sterling R, Suckiel SA, Terek S, Thayer J, Ting YL, Tiwari H, Velez-Edwards D, Wagholikar KB, Walunas T, Wei WQ, Weng C, Wiesner G, Abul-Husn NS, Veenstra DL.
Limdi N, et al. Among authors: davis kw.
Am J Hum Genet. 2026 Apr 2;113(4):664-677. doi: 10.1016/j.ajhg.2026.02.018. Epub 2026 Mar 23.
Am J Hum Genet. 2026.
PMID: 41875897
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