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Family-based analysis of eight susceptibility loci in polycystic ovary syndrome

Overview of attention for article published in Scientific Reports, July 2015
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Title
Family-based analysis of eight susceptibility loci in polycystic ovary syndrome
Published in
Scientific Reports, July 2015
DOI 10.1038/srep12619
Pubmed ID
Authors

Shigang Zhao, Ye Tian, Xuan Gao, Xiuqing Zhang, Hongbin Liu, Li You, Yongzhi Cao, Shizhen Su, Wai-Yee Chan, Yun Sun, Han Zhao, Zi-Jiang Chen

Abstract

Polycystic ovary syndrome (PCOS) is a complex endocrine disorder that is proposed to have a genetic basis. A recent genome-wide association study (GWAS) identified eight new risk loci that are independently associated with PCOS. To further validate the findings, a total of 321 case-parent trios (963 participants) who had a proband affected with PCOS were recruited for the family-based study. The transmission disequilibrium test (TDT) was used to analyze associations between PCOS and ten single nucleotide polymorphisms (SNPs) mapped to eight new susceptibility loci. Significant differences in transmission were observed for the SNPs rs2349415 (located in the FSHR gene, P = 0.0001) and rs3802457 (located in the C9orf3 gene, P = 0.0001), even after correction for multiple testing bias. The present data provides further evidence for an association between two susceptibility loci, 2p16.3 and 9q22.32, and PCOS. Follow-up functional studies on the FSHR and C9orf3 genes are required to understand their roles in PCOS development.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 22%
Student > Ph. D. Student 10 20%
Researcher 4 8%
Librarian 4 8%
Student > Doctoral Student 2 4%
Other 5 10%
Unknown 13 27%
Readers by discipline Count As %
Medicine and Dentistry 13 27%
Biochemistry, Genetics and Molecular Biology 10 20%
Computer Science 3 6%
Agricultural and Biological Sciences 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Other 6 12%
Unknown 11 22%
Attention Score in Context

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 30 July 2015.
All research outputs
#18,420,033
of 22,818,766 outputs
Outputs from Scientific Reports
#93,188
of 123,177 outputs
Outputs of similar age
#189,281
of 263,426 outputs
Outputs of similar age from Scientific Reports
#1,400
of 1,932 outputs
Altmetric has tracked 22,818,766 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 123,177 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,932 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.