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

ABSTRACT:

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 to 20 years. GRSs were constructed with 324 single-nucleotide polymorphisms implicated in stroke and 9 risk factors. The association of the GRS to first incident stroke was tested using Cox regression; the GRS predictive properties were assessed with area under the curve statistics comparing the GRS with age and sex, Framingham Stroke Risk Score models, and reclassifica

SUBMITTER: Ibrahim-Verbaas CA 

PROVIDER: S-EPMC3955258 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature