| Title |
Association between RTEL1 gene polymorphisms and COPD susceptibility in a Chinese Han population
|
|---|---|
| Published in |
International Journal of Chronic Obstructive Pulmonary Disease, March 2017
|
| DOI | 10.2147/copd.s131246 |
| Pubmed ID | |
| Authors |
Yipeng Ding, Heping Xu, Jinjian Yao, Dongchuan Xu, Ping He, Shengyang Yi, Quanni Li, Yuanshui Liu, Cibing Wu, Zhongjie Tian |
| Abstract |
We investigated the association between single-nucleotide polymorphisms in regulation of telomere elongation helicase 1 (RTEL1), which has been associated with telomere length in several brain cancers and age-related diseases, and the risk of chronic obstructive pulmonary disease (COPD) in a Chinese Han population. In a case-control study that included 279 COPD cases and 290 healthy controls, five single-nucleotide polymorphisms in RTEL1 were selected and genotyped using the Sequenom MassARRAY platform. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using unconditional logistic regression after adjusting for age and gender. In the genotype model analysis, we determined that rs4809324 polymorphism had a decreased effect on the risk of COPD (CC versus TT: OR =0.28; 95% CI =0.10-0.82; P=0.02). In the genetic model analysis, we found that the "C/C" genotype of rs4809324 was associated with a decreased risk of COPD based on the codominant model (OR =0.33; 95% CI =0.13-0.86; P=0.022) and recessive model (OR =0.32; 95% CI =0.12-0.80; P=0.009). Our data shed new light on the association between genetic polymorphisms of RTEL1 and COPD susceptibility in the Chinese Han population. |
X Demographics
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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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 27% |
| Researcher | 3 | 14% |
| Student > Ph. D. Student | 2 | 9% |
| Student > Bachelor | 1 | 5% |
| Student > Postgraduate | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 9 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 27% |
| Medicine and Dentistry | 4 | 18% |
| Nursing and Health Professions | 1 | 5% |
| Environmental Science | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 36% |
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 23 August 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from International Journal of Chronic Obstructive Pulmonary Disease
#2,404
of 2,578 outputs
Outputs of similar age
#285,015
of 324,443 outputs
Outputs of similar age from International Journal of Chronic Obstructive Pulmonary Disease
#68
of 79 outputs
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