Article
Predicting stroke through genetic risk functions: the CHARGE Risk Score Project.
Stroke - 1 Feb 2014
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 Thomas H, Longstreth W T, van Duijn Cornelia M, Launer Lenore J
Abstract excerpt
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 first incident strokes from 22,720 initially stroke-free European origin participants aged ≥55 years, who were followed for up...
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