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

Ehret, Georg Benedikt

doi:10.1161/STROKEAHA.113.003044

Scientific article

English

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

ContributorsEhret, Georg Benedikt

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

Affiliation entities

Faculté de médecine / Section de médecine clinique / Département de médecine

Research groups

Traits génétiques complexes (901)

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

Article (Published version)

Identifiers

PID : unige:40642
DOI : 10.1161/STROKEAHA.113.003044
PMID : 24436238

ISSN of the journal0039-2499

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

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.

Technical informations