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Mendeley readers
Attention Score in Context
| Title |
Genetic variations of MUC17 are associated with endometriosis development and related infertility
|
|---|---|
| Published in |
BMC Medical Genomics, August 2015
|
| DOI | 10.1186/s12881-015-0209-7 |
| Pubmed ID | |
| Authors |
Ching-Wen Yang, Cherry Yin-Yi Chang, Ming-Tsung Lai, Hui-Wen Chang, Cheng-Chan Lu, Yi Chen, Chih-Mei Chen, Shan-Chih Lee, Pei-Wen Tsai, Su-Han Yang, Chih-Hung Lin, Jim Jinn-Chyuan Sheu, Fuu-Jen Tsai |
| Abstract |
Genetic alterations of mucin genes, such as MUC2 and MUC4, were previously identified to be associated with endometriosis and related infertility. Additionally, gene expression profiling has confirmed MUC17 to be overexpressed in mucinous ovarian carcinoma; however, its associated risk for endometriosis remains unclear. This study was focused on the potential impact of genetic variations in MUC17 on endometriosis development and associated clinical features. The study subjects included 189 female Taiwanese patients with pathology-proven endometriosis and 191 healthy Taiwanese women as controls. Five single-nucleotide polymorphisms (rs4729645, rs10953316, rs74974199, rs4729655, and rs4729656) within the MUC17 gene were selected and genotyped using the Taqman genotyping assay to examine the allele frequency and genotype distributions of MUC17 polymorphisms. Genotyping revealed that the A allele at rs10953316 in MUC17 was a protective genetic factor in endometriosis development (p = 0.008; OR = 0.53; 95 % CI: 0.36-0.79). Genetic variation of rs4729655 protected patients against endometriosis-induced infertility, but was associated with a higher cancer antigen 125 (CA125) level. Base-pairing analysis, called MaxExpect, predicted an additional loop in the mRNA structure caused by rs10953316 polymorphism, possibly influencing ribosome sliding and translation efficiency. Such predictions were confirmed by immunohistochemistry that patients with AA genotype at rs10953316 showed low MUC17 levels in their endometrium, patients with GA genotype showed moderate levels, and strong staining could be found in patients with GG genotype. MUC17 polymorphisms are involved in endometriosis development and the associated infertility in the Taiwanese population. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 3% |
| Unknown | 28 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 17% |
| Student > Ph. D. Student | 5 | 17% |
| Student > Master | 4 | 14% |
| Researcher | 4 | 14% |
| Other | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 28% |
| Biochemistry, Genetics and Molecular Biology | 7 | 24% |
| Agricultural and Biological Sciences | 3 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 7 | 24% |
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 20 August 2015.
All research outputs
#16,722,190
of 25,374,917 outputs
Outputs from BMC Medical Genomics
#1,194
of 2,444 outputs
Outputs of similar age
#157,309
of 277,609 outputs
Outputs of similar age from BMC Medical Genomics
#31
of 61 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 46th percentile – i.e., 46% 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 277,609 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.