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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluation of CpG-SNPs in miRNA promoters and risk of breast cancer
|
|---|---|
| Published in |
Gene, January 2018
|
| DOI | 10.1016/j.gene.2018.01.070 |
| Pubmed ID | |
| Authors |
Jiaping Chen, Yue Jiang, Jing Zhou, Sijun Liu, Na Qin, Jiangbo Du, Guangfu Jin, Zhibin Hu, Hongxia Ma, Hongbing Shen, Juncheng Dai |
| Abstract |
CpG-SNPs in gene promoter regions are proposed to be associated with multiple diseases. To date, few studies have focused on the associations between CpG-SNPs in miRNA promoters and the risk of breast cancer. In this study, 138 miRNAs differentially expressed between breast cancer and non-cancer tissues (fold change >2, P < 0.05) were identified using The Cancer Genome Atlas (TCGA) Research database. In total, 13 SNPs were selected in the promoters of the miRNAs and were evaluated in a case-control study of Chinese women including 1486 cases and 1519 controls. After multivariate logistic regression analysis, we found that three CpG-SNPs: rs1190983, rs155247, and rs62382272, were significantly associated with breast-cancer susceptibility in the population (Additive model: rs1190983: adjusted OR = 0.88, 95% CI: 0.79-0.99, P = 0.034; rs155247: adjusted OR = 0.83, 95% CI: 0.74-0.93, P = 0.002; rs62382272: adjusted OR = 1.24, 95% CI: 1.04-1.47, P = 0.016). eQTL analysis showed that these three SNPs were correlated with the expression of the related miRNAs in TCGA breast cancer tissues (P = 0.006,0.009,0.001 for rs1190983, rs155247, and rs62382272). Furthermore, rs1190983 was found to be associated with CpG site (cg20488673) methylation (meQTL) (P = 0.004), which was in turn correlated with miR-342 expression (P = 0.016). These findings indicated that the three CpG-SNPs in the promoters of miRNAs were likely to possess important biological functions to breast cancer in the Han Chinese population. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 16% |
| Student > Bachelor | 3 | 12% |
| Other | 2 | 8% |
| Librarian | 2 | 8% |
| Student > Doctoral Student | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 10 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 20% |
| Medicine and Dentistry | 4 | 16% |
| Neuroscience | 2 | 8% |
| Chemistry | 1 | 4% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 12 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 29 January 2018.
All research outputs
#15,745,807
of 25,382,440 outputs
Outputs from Gene
#7,219
of 10,915 outputs
Outputs of similar age
#247,922
of 448,910 outputs
Outputs of similar age from Gene
#32
of 153 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,915 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 33rd percentile – i.e., 33% 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 448,910 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.