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Association of inflammatory gene polymorphisms with ischemic stroke in a Chinese Han population

Authors :
Zhao Nan
Liu Xin
Wang Yongqin
Liu Xiaoqiu
Li Jiana
Yu Litian
Ma Liyuan
Wang Shuyu
Zhang Hongye
Liu Lisheng
Zhao Jingbo
Wang Xingyu
Source :
Journal of Neuroinflammation, Vol 9, Iss 1, p 162 (2012)
Publication Year :
2012
Publisher :
BMC, 2012.

Abstract

Abstract Background Inflammatory mechanisms are important in stroke risk, and genetic variations in components of the inflammatory response have been implicated as risk factors for stroke. We tested the inflammatory gene polymorphisms and their association with ischemic stroke in a Chinese Han population. Methods A total of 1,124 ischemic stroke cases and 1,163 controls were genotyped with inflammatory panel strips containing 51 selected inflammatory gene polymorphisms from 35 candidate genes. We tested the genotype-stroke association with logistic regression model. Results We found two single nucleotide polymorphisms (SNPs) in CCL11 were associated with ischemic stroke. After adjusting for multiple testing using false discovery rate (FDR) with a 0.20 cut-off point, CCL11 rs4795895 remained statistically significant. We further stratified the study population by their hypertension status. In the hypertensive group, CCR2 rs1799864, CCR5 rs1799987 and CCL11 rs4795895 were nominally associated with increased risk of stroke. In the non-hypertensive group, CCL11 rs3744508, LTC4S rs730012, FCER1B rs569108, TGFB1 rs1800469, LTA rs909253 and CCL11 rs4795895 were associated with ischemic stroke. After correction for multiple testing, CCR2 rs1799864 and CCR5 rs1799987 remained significant in the hypertensive group, and CCL11 rs3744508, LTC4S rs730012, FCER1B rs569108, TGFB1 rs1800469, LTA rs909253 remained significant in the non-hypertensive group. Conclusions Our results indicate that inflammatory genetic variants are associated with increased risk of ischemic stroke in a Chinese Han population, particularly in non-hypertensive individuals.

Details

Language :
English
ISSN :
17422094
Volume :
9
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Neuroinflammation
Publication Type :
Academic Journal
Accession number :
edsdoj.235e8ad01409400593722d90241ca49a
Document Type :
article
Full Text :
https://doi.org/10.1186/1742-2094-9-162