en
Scientific article
English

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

Published inStroke, vol. 45, no. 2, p. 403-412
Publication date2014
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 Factors
  • Aged
  • Aged, 80 and over
  • Area Under Curve
  • Case-Control Studies
  • Cohort Studies
  • European Continental Ancestry Group
  • Female
  • Genetic Predisposition to Disease
  • Genome-Wide Association Study
  • Genotype
  • Humans
  • Male
  • Middle Aged
  • Polymorphism, Single Nucleotide/genetics
  • ROC Curve
  • Regression Analysis
  • Risk Factors
  • Sex Factors
  • Stroke/epidemiology/genetics
Citation (ISO format)
EHRET, Georg Benedikt. Predicting stroke through genetic risk functions: the CHARGE Risk Score Project. In: Stroke, 2014, vol. 45, n° 2, p. 403–412. doi: 10.1161/STROKEAHA.113.003044
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Article (Published version)
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Identifiers
ISSN of the journal0039-2499
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Technical informations

Creation08/23/2014 11:08:00 PM
First validation08/23/2014 11:08:00 PM
Update time03/14/2023 9:48:56 PM
Status update03/14/2023 9:48:56 PM
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