| 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 1 | 17% |
| Other | 1 | 17% |
| Student > Doctoral Student | 1 | 17% |
| Unknown | 3 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 1 | 17% |
| Agricultural and Biological Sciences | 1 | 17% |
| Unknown | 4 | 67% |
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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