| Title |
Expression quantitative trait loci in long non-coding RNA PAX8-AS1 are associated with decreased risk of cervical cancer
|
|---|---|
| Published in |
Molecular Genetics and Genomics, May 2016
|
| DOI | 10.1007/s00438-016-1217-9 |
| Pubmed ID | |
| Authors |
Jing Han, Wen Zhou, Meiqun Jia, Juan Wen, Jie Jiang, Jufang Shi, Kai Zhang, Hongxia Ma, Jibin Liu, Jiansong Ren, Min Dai, Zhibin Hu, Dong Hang, Ni Li, Hongbing Shen |
| Abstract |
Paired box 8 (PAX8) is a crucial nephric-lineage transcription factor, and its aberrant expression has been detected in various types of cancer including Müllerian carcinomas. PAX8 antisense RNA 1 (PAX8-AS1), a potential regulator of PAX8, contains specific single nucleotide polymorphisms (SNPs) that may represent expression quantitative trait loci (eQTLs) for PAX8. In this study, we hypothesized that these eQTLs SNPs in PAX8-AS1 may influence the risk of cervical cancer. A case-control study of 1486 cervical cancer patients and 1536 cancer-free controls was conducted to identify the associations between two eQTLs SNPs (rs4848320 and rs1110839) and cervical cancer. Logistic regression analyses revealed that variant allele T of rs4848320 (recessive model: adjusted OR = 0.61, 95 % CI = 0.38-0.97, P = 0.027) and G of rs1110839 (additive model: adjusted OR = 0.88, 95 % CI = 0.79-0.99, P = 0.032) were associated with decreased risk of cervical cancer. Moreover, the haplotype containing variant alleles of the two SNPs significantly decreased the risk of cervical cancer compared to the most frequent haplotype (adjusted OR = 0.82, 95 % CI = 0.70-0.95, P = 0.009). These findings indicate that PAX8 eQTLs SNPs may serve as novel susceptibility markers for cervical cancer. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 20% |
| Student > Master | 3 | 15% |
| Student > Ph. D. Student | 3 | 15% |
| Student > Doctoral Student | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 5 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 20% |
| Biochemistry, Genetics and Molecular Biology | 3 | 15% |
| Neuroscience | 2 | 10% |
| Agricultural and Biological Sciences | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 7 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 11 March 2022.
All research outputs
#7,356,550
of 25,374,917 outputs
Outputs from Molecular Genetics and Genomics
#849
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Outputs of similar age
#109,823
of 350,603 outputs
Outputs of similar age from Molecular Genetics and Genomics
#3
of 23 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 3,319 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 73% of its peers.
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We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.