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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Relationship between CYP17A1 genetic polymorphism and coronary artery disease in a Chinese Han population
|
|---|---|
| Published in |
Lipids in Health and Disease, March 2015
|
| DOI | 10.1186/s12944-015-0007-4 |
| Pubmed ID | |
| Authors |
Chuan-Fang Dai, Xiang Xie, Yi-Ning Yang, Xiao-Mei Li, Ying-Ying Zheng, Zhen-Yan Fu, Fen Liu, Bang-Dang Chen, Min-Tao Gai, Yi-Tong Ma |
| Abstract |
CYP17A1 gene encodes P450c17 proteins, which is a key enzyme that catalyzes the formation of sex hormones. Many clinical studies showed that sex hormones levels play an important role in the pathogenesis of coronary artery disease (CAD). However, the relationship between CYP17A1 genetic polymorphisms and CAD remains unclear. The aim of this study was to investigate the association of CYP17A1 genetic polymorphisms with CAD in a Han population of China. A total of 997 people include 490 patients and 507 controls were selected for the present study. Five single-nucleotide polymorphisms (SNPs) (rs4919686, rs1004467, rs4919687, rs10786712, and rs2486758) were genotyped by using the real-time PCR (TaqMan) method. For men, the rs10786712 was found to be associated with CAD in a recessive model (P = 0.016), after adjustment of the major confounding factors, the significant difference was retained (OR = 1.644, 95% confidence interval [CI]: 1.087-2.488, P = 0.019). For women, the rs1004467 was also found to be associated with CAD in a dominant model (P = 0.038), the difference remained statistically significant after multivariate adjustment (OR = 1.623, 95% CI: 1.023-2.576, P = 0.040). The distribution of rs4919687 genotypes showed a significant difference between CAD and control participants in a recessive model (P = 0.019), the significant difference was retained after adjustment for covariates (OR = 0.417, 95% CI: 0.188-0.926, P = 0.032). Rs1004467, rs4919687, rs10786712 of CYP17A1 gene are associated with CAD in Han population of China. The TT genotype of rs10786712 could be a protective genetic marker of CAD in men. The CC genotype of rs1004467 and the AA genotype of rs4919687 could be risk genetic markers of CAD in women. However, large sample size study including other SNPs of CYP17A1 should be performed in future studies. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Ireland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 17% |
| Other | 2 | 8% |
| Student > Doctoral Student | 2 | 8% |
| Professor | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Other | 4 | 17% |
| Unknown | 8 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 21% |
| Biochemistry, Genetics and Molecular Biology | 4 | 17% |
| Agricultural and Biological Sciences | 3 | 13% |
| Economics, Econometrics and Finance | 1 | 4% |
| Psychology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 38% |
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 12 April 2015.
All research outputs
#18,402,666
of 22,794,367 outputs
Outputs from Lipids in Health and Disease
#986
of 1,450 outputs
Outputs of similar age
#188,330
of 258,823 outputs
Outputs of similar age from Lipids in Health and Disease
#14
of 21 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,450 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 258,823 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.