| Title |
The relationship between human leukocyte antigen-DP/DQ gene polymorphisms and the outcomes of HCV infection in a Chinese population
|
|---|---|
| Published in |
Virology Journal, December 2017
|
| DOI | 10.1186/s12985-017-0901-7 |
| Pubmed ID | |
| Authors |
Peng Huang, Haozhi Fan, Ting Tian, Peiwen Liao, Jun Li, Rongbin Yu, Xueshan Xia, Yue Feng, Jie Wang, Yuan Liu, Yun Zhang, Ming Yue |
| Abstract |
Recently, human leukocyte antigen (HLA) class-II gene polymorphisms have been reported to be related to Hepatitis C virus (HCV) infection and chronicity. The objective of this study was to explore the relationship of HLA-DP rs9277535 and HLA-DQ rs7453920 with the outcomes of HCV infection. The rs9277535 and rs7453920 were genotyped in 370 subjects with chronic HCV infection, 194 subjects with spontaneous HCV clearance, and 973 subjects with non-HCV infection from the Chinese population using the ABI TaqMan allelic discrimination assay. Logistic regression analyses showed that the minor allele A of rs7453920 significantly increased the susceptibility of HCV infection in dominant model (adjusted OR = 1.33, 95% CI: 1.04-1.71, P = 0.026) and additive models (adjusted OR = 1.30, 95% CI: 1.06-1.60, P = 0.012). Rs9277535 A allele significantly increased the risk of chronic HCV infection in dominant model (adjusted OR = 1.52, 95% CI: 1.01-2.28, P = 0.046). Haplotype AA showed a higher risk of HCV infection than the most frequent haplotype GG (adjusted OR = 1.37, 95% CI: 1.05-1.78, P = 0.018). The HLA-DQ rs7453920 and -DP rs9277535 mutations were significantly associated with HCV infection susceptibility and chronicity, respectively. |
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 % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 17% |
| Student > Doctoral Student | 2 | 17% |
| Professor > Associate Professor | 2 | 17% |
| Researcher | 2 | 17% |
| Other | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 3 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 25% |
| Biochemistry, Genetics and Molecular Biology | 2 | 17% |
| Immunology and Microbiology | 1 | 8% |
| Agricultural and Biological Sciences | 1 | 8% |
| Unknown | 5 | 42% |
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 08 December 2017.
All research outputs
#18,578,649
of 23,011,300 outputs
Outputs from Virology Journal
#2,454
of 3,060 outputs
Outputs of similar age
#327,490
of 439,982 outputs
Outputs of similar age from Virology Journal
#41
of 55 outputs
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