Genetic Predisposition to Ischemic Stroke: A Polygenic Risk Score.

ABSTRACT:

Background and purpose

The prediction of genetic predispositions to ischemic stroke (IS) may allow the identification of individuals at elevated risk and thereby prevent IS in clinical practice. Previously developed weighted multilocus genetic risk scores showed limited predictive ability for IS. Here, we investigated the predictive ability of a newer method, polygenic risk score (polyGRS), based on the idea that a few strong signals, as well as several weaker signals, can be collectively informative to determine IS risk.

Methods

We genotyped 13 214 Japanese individuals with IS and 26 470 controls (derivation samples) and generated both multilocus genetic risk scores and polyGRS, using the same derivation data set. The predictive abilities of each scoring system were then as

SUBMITTER: Hachiya T 

PROVIDER: S-EPMC5266416 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature