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Hum Mol Genet. 2004 Feb 15;13(4):389-96. Epub 2003 Dec 17.

Polymorphism in the P-selectin and interleukin-4 genes as determinants of stroke: a population-based, prospective genetic analysis.

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  • 1Center for Cardiovascular Disease Prevention, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02215, USA. rzee@rics.bwh.harvard.edu

Abstract

Candidate gene polymorphisms related to inflammation, thrombosis and lipid metabolism have been implicated in the development of ischemic stroke. Using DNA samples collected at baseline in a prospective cohort of 14 916 initially healthy American men, we genotyped 92 polymorphisms from 56 candidate genes among 319 individuals who subsequently developed ischemic stroke and among 2092 individuals who remained free of reported cardiovascular disease over a mean follow-up period of 13.2 years to prospectively determine whether candidate gene polymorphisms contribute to stroke risk. After adjustment for multiple comparisons and age, smoking, body mass index, hypertension, hyperlipidemia and diabetes, two related to inflammation [a val640leu polymorphism in the P-selectin gene (OR=1.63, 95% CI 1.22-2.17, P=0.001) and a C582T polymorphism in the interleukin-4 gene (OR=1.40, 95% CI 1.13-1.73, P=0.003)] were found to be independent predictors of thrombo-embolic stroke. In bootstrap replications, the inclusion of genetic information from these two polymorphisms improved prediction models for stroke based upon traditional risk factors alone (ROC 0.67 versus 0.64). Two polymorphisms related to thrombosis (an arg353gln polymorphism in the factor VII gene and a T11053G polymorphism in the plasminogen activator inhibitor type-1 gene) and one related to lipid metabolism [a C(-482)T polymorphism in the apolipoprotein CIII gene] achieved nominal significance, but were not found to be independent predictors after multiple comparison adjustment. Two inflammatory candidate gene polymorphisms were identified which were independently associated with incident stroke. These population-based data demonstrate the ability of prospective, epidemiological studies to test candidate gene associations for athero-thrombotic disease.

PMID:
14681304
[PubMed - indexed for MEDLINE]
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