Literature DB >> 22051033

ALOX5AP genetic variants and risk of atherothrombotic stroke in the Taiwanese population.

Jiann-Der Lee1, Tsong-Hai Lee, Yen-Chu Huang, Yeu-Jhy Chang, Chien-Hung Chang, Huan-Lin Hsu, Ya-Hui Lin, Chih-Ying Wu, Meng Lee, Ying-Chih Huang, Shan-Jin Ryu, Kuang-Ming Hsiao.   

Abstract

We explored the role of variants of the arachidonate 5-lipoxygenase-activating protein (ALOX5AP) gene as factors for atherothrombotic stroke (ATS). A HapMap-based haplotype-tagging single nucleotide polymorphism (htSNP) association study was conducted in an isolated Taiwanese population. Multivariate logistic regression analyses revealed that patients with the GG/CG genotype of rs4293222 and the AA/AG genotype of rs4360791 had a 1.61-fold (odds ratio [OR]=1.61; 95% confidence interval [CI]=1.02-2.56, p=0.042) and a 1.69-fold (OR=1.69; 95% CI=1.00-2.86, p=0.047) increased risk of ATS, compared with patients with the CC/GG genotype, respectively. The most common haplotype allele, GTA, was used as a reference when analyzing the association between the haplotypes related to rs4293222, rs10507391, rs12429692 and ATS. The combined frequencies of all minor variant alleles of the three selected htSNP were associated with a 44% decreased risk of ATS (OR=0.56; 95% CI=0.37-0.84, p=0.005). This study provides preliminary evidence suggesting that genetic polymorphisms of ALOX5AP are associated with ATS.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22051033     DOI: 10.1016/j.jocn.2011.03.035

Source DB:  PubMed          Journal:  J Clin Neurosci        ISSN: 0967-5868            Impact factor:   1.961


  3 in total

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Authors:  Guo Qingxu; Zhang Yan; Xu Jiannan; Liu Yunlong
Journal:  Pathol Oncol Res       Date:  2015-09-08       Impact factor: 3.201

2.  Lack of association between ALOX5AP genetic polymorphisms and risk of ischemic stroke: evidence from meta-analyses.

Authors:  Jing-Hui Zheng; Gui-Lan Ning; Wen-Hua Xu; Xin-Cheng Wu; Xiao-Cong Ma
Journal:  Neuropsychiatr Dis Treat       Date:  2019-01-25       Impact factor: 2.570

3.  Bioinformatics analysis of the regulatory lncRNA‑miRNA‑mRNA network and drug prediction in patients with hypertrophic cardiomyopathy.

Authors:  Jiajianghui Li; Zining Wu; Deqiang Zheng; Yue Sun; Sisi Wang; Yuxiang Yan
Journal:  Mol Med Rep       Date:  2019-05-23       Impact factor: 2.952

  3 in total

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