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Predicting stroke through genetic risk functions: the CHARGE Risk Score Project

Ibrahim-Verbaas, Carla A
Fornage, Myriam
Bis, Joshua C
Choi, Seung Hoan
Psaty, Bruce M
Meigs, James B
Rao, Madhu
Nalls, Mike
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Published in Stroke. 2014, vol. 45, no. 2, p. 403-12
Abstract 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.
Keywords Age FactorsAgedAged, 80 and overArea Under CurveCase-Control StudiesCohort StudiesEuropean Continental Ancestry GroupFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedPolymorphism, Single Nucleotide/geneticsROC CurveRegression AnalysisRisk FactorsSex FactorsStroke/epidemiology/genetics
PMID: 24436238
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Research group Traits génétiques complexes (901)
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IBRAHIM-VERBAAS, Carla A et al. Predicting stroke through genetic risk functions: the CHARGE Risk Score Project. In: Stroke, 2014, vol. 45, n° 2, p. 403-12. https://archive-ouverte.unige.ch/unige:40642

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Deposited on : 2014-10-03

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