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Genetic association of Toll-like receptor 4 gene and coronary artery disease in a Chinese Han population

Overview of attention for article published in SpringerPlus, September 2016
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Title
Genetic association of Toll-like receptor 4 gene and coronary artery disease in a Chinese Han population
Published in
SpringerPlus, September 2016
DOI 10.1186/s40064-016-3177-2
Pubmed ID
Authors

Liting Zhou, Dongchun Zheng, Shuyue Wang, Jian Zhu, Yiyang Jia, Di Sun, Jin Xu, Qi Wang, Huaiji Chen, Feng Xu, Bo Li, Lin Ye

Abstract

Toll-like receptor 4 (TLR4) is known to be involved in innate immunity and inflammatory responses that play important roles in the pathogenesis of coronary artery disease (CAD). But the relationship between TLR4 gene and CAD has yet to be investigated. The present study aimed to evaluate the association of TLR4 gene polymorphisms with CAD susceptibility in a Chinese Han population. A total of 1094 subjects (577 unrelated patients with CAD and 517 controls) were recruited between 2008 and 2012. Three tag SNPs (rs1927907, rs1927911 and rs11536889) present in the TLR4 gene were genotyped using Sequenom Mass-ARRAY system. The genotypic distributions of the three SNPs were not deviate from Hardy-Weinberg equilibrium. There was no significant difference in distributions of allelic frequencies of each SNPs between healthy controls and CAD patients (P > 0.05). Genotype frequencies of TLR4 gene did not show any statistically significant difference between the two groups in co-dominant, dominant or recessive genetic models (P > 0.05). The frequency of haplotypes in the case group was similar to that in the control group (P > 0.05). TLR4 gene do not relate to genetic susceptibility of CAD in the Chinese Han population.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Saudi Arabia 1 20%
Unknown 4 80%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 20%
Other 1 20%
Student > Doctoral Student 1 20%
Unknown 2 40%
Readers by discipline Count As %
Mathematics 1 20%
Agricultural and Biological Sciences 1 20%
Unknown 3 60%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 September 2016.
All research outputs
#20,342,896
of 22,889,074 outputs
Outputs from SpringerPlus
#1,460
of 1,850 outputs
Outputs of similar age
#279,632
of 322,148 outputs
Outputs of similar age from SpringerPlus
#154
of 186 outputs
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