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NTIS 바로가기Stroke, v.45 no.2, 2014년, pp.403 - 412
Ibrahim-Verbaas, Carla A. , Fornage, Myriam , Bis, Joshua C. , Choi, Seung Hoan , Psaty, Bruce M. , Meigs, James B. , Rao, Madhu , Nalls, Mike , Fontes, Joao D. , O’Donnell, Christopher J. , Kathiresan, Sekar , Ehret, Georg B. , Fox, Caroline S. , Malik, Rainer , Dichgans, Martin , Schmidt, Helena , Lahti, Jari , Heckbert, Susan R. , Lumley, Thomas , Rice, Kenneth , Rotter, Jerome I. , Taylor, Kent D. , Folsom, Aaron R. , Boerwinkle, Eric , Rosamond, Wayne D. , Shahar, Eyal , Gottesman, Rebecca F. , Koudstaal, Peter J. , Amin, Najaf , Wieberdink, Renske G. , Dehghan, Abbas , Hofman, Albert , Uitterlinden, André , G. , DeStefano, Anita L. , Debette, Stephanie , Xue, Luting , Beiser, Alexa , Wolf, Philip A. , DeCarli, Charles , Ikram, M. Arfan , Seshadri, Sudha , Mosley Jr, Thomas H. , Longstreth Jr, W.T. , van Duijn, Cornelia M. , Launer, Lenore J.
Background and Purpose—Beyond the Framingham Stroke Risk Score, prediction of future stroke may improve with a genetic risk score (GRS) based on single-nucleotide polymorphisms associated with stroke and its risk factors.Methods—The study includes 4 population-based cohorts with 2047 f...
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