Literature DB >> 24448059

Influence of the β-fibrinogen-455G/A polymorphism on development of ischemic stroke and coronary heart disease.

Lian Gu1, Wenhui Liu2, Yan Yan3, Li Su4, Guangliang Wu3, Baoyun Liang3, Jinjing Tan3, Guihua Huang3.   

Abstract

BACKGROUND: Ischemic stroke (IS) and coronary heart disease (CHD) are two vascular disorders that are a common cause of death worldwide. Several studies have assessed the association of the β-fibrinogen-455G/A (FGB-455G/A) polymorphism and risk of IS and CHD, but the results are still inconsistent. Our study aimed to investigate whether the FGB-455G/A polymorphism was associated with susceptibility to IS and CHD by using meta-analysis.
METHODS: Relevant studies were identified from PubMed, Embase and four Chinese database up to July 2013.Data were analyzed and processed by Stata 11.2. A pooled OR with 95% CI was calculated to estimate the strength of the genetic association. Cumulative meta-analysis was performed to assess the tendency of pooled OR over time.
RESULTS: 45 studies based on a total of 7238 cases and 7395 controls were included in our meta-analysis. The results indicated that the FGB-455G/A polymorphism is associated with the risk of IS when compared with the dominant model (OR=1.518, 95%CI=1.279-1.802 for AA+GA vs. GG). In the subgroup analysis by ethnicity, significantly elevated risks were associated with the A allele in Asians (OR=1.700, 95%CI=1.417-2.040), but not in Caucasians (OR=0.942, 95%CI=0.813-1.091). Both the hypertension and non-hypertension subgroups reached significant results, but no significance was found when stratified according to sex or subtype of IS. Results indicate that the FGB-455G/A polymorphism is associated with CHD (OR=1.802, 95%CI=1.445-2.246).
CONCLUSION: Our meta-analysis suggests that the FGB-455G/A polymorphism contributes to susceptibility to IS and CHD.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Coronary heart disease; FGB-455G/A gene; Ischemic stroke; Polymorphism

Mesh:

Substances:

Year:  2014        PMID: 24448059     DOI: 10.1016/j.thromres.2014.01.001

Source DB:  PubMed          Journal:  Thromb Res        ISSN: 0049-3848            Impact factor:   3.944


  7 in total

1.  Abnormal expression of long non-coding RNAs in myocardial infarction.

Authors:  Tao Wu; Huan-Dong Wu; Zao-Xian Xu; Fei Han; Bi-Qi Zhang; Jian Sun; Shen-Jiang Hu
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2.  Using Coexpression Protein Interaction Network Analysis to Identify Mechanisms of Danshensu Affecting Patients with Coronary Heart Disease.

Authors:  Mengqi Huo; Zhixin Wang; Dongxue Wu; Yanling Zhang; Yanjiang Qiao
Journal:  Int J Mol Sci       Date:  2017-06-19       Impact factor: 5.923

3.  Proteomic analysis of plasma exosomes to differentiate malignant from benign pulmonary nodules.

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Journal:  Clin Proteomics       Date:  2019-02-02       Impact factor: 3.988

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Authors:  Da Li; Xiaosong Zhang; He Huang; Honggang Zhang
Journal:  Medicine (Baltimore)       Date:  2019-11       Impact factor: 1.817

Review 5.  Fibrinogen and Atherosclerotic Cardiovascular Diseases-Review of the Literature and Clinical Studies.

Authors:  Stanisław Surma; Maciej Banach
Journal:  Int J Mol Sci       Date:  2021-12-24       Impact factor: 5.923

6.  A child diagnosed with midaortic syndrome and inherited thrombophilia after presenting with a stroke: A case report.

Authors:  Narmeen Giacaman; Salem M Tos; Mohammad G Ibdah; Mohamad K M Ismail; Nael Hussein Ellahham
Journal:  Ann Med Surg (Lond)       Date:  2022-08-19

7.  Molecular assessment of some cardiovascular genetic risk factors among Iraqi patients with ischemic heart diseases.

Authors:  Wisam Jasim Mohammed; Bassam Musa Sadik Al-Musawi; Christian Oberkanins; Helene Pühringer
Journal:  Int J Health Sci (Qassim)       Date:  2018 May-Jun
  7 in total

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