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Genetic variants in long noncoding RNA H19 contribute to the risk of breast cancer in a southeast China Han population

Overview of attention for article published in OncoTargets and therapy, September 2017
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Title
Genetic variants in long noncoding RNA H19 contribute to the risk of breast cancer in a southeast China Han population
Published in
OncoTargets and therapy, September 2017
DOI 10.2147/ott.s127962
Pubmed ID
Authors

Yuxiang Lin, Fangmeng Fu, Yazhen Chen, Wei Qiu, Songping Lin, Peidong Yang, Meng Huang, Chuan Wang

Abstract

The long noncoding RNA (lncRNA) H19 is a maternally expressed imprinted gene that plays important roles in tumorigenesis, progression, and metastasis. However, the association between polymorphisms on H19 and breast cancer (BC) susceptibility has remained obscure. In this case-control study, we assessed the interaction between two lncRNA H19 single-nucleotide polymorphisms (SNPs) (rs217727 C>T, rs2839698 C>T) and the risk of BC in a Chinese Han population. In total, 1,005 BC cases and 1,020 healthy controls were enrolled in this study. Correlations between genotypes and BC risk were evaluated by multivariate logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs). False-positive report probability calculation was also utilized to identify false-positive associations. We observed that the rs217727 T variant was consistently significantly associated with an increased risk of BC in both codominant and dominant models (CT vs CC, OR 1.25, 95% CI 1.03-1.51; TT vs CC, OR 1.56, 95% CI 1.15-2.09; CT + TT vs CC, OR 1.31, 95% CI 1.09-1.57), and all associations remained significant after Bonferroni correction (P<0.025). Subsequent stratified analyses also revealed that associations between BC risk and rs217727 genotypes were more profound in patients with estrogen receptor-positive, human epidermal growth factor receptor 2 (HER2)-negative, and hormone receptor-positive-HER2-negative molecular subtypes (all passed the threshold for Bonferroni correction, P<0.005). These findings extend available data on the association of H19 polymorphisms and BC susceptibility. Based on these results, we encourage further large-scale studies and functional research to confirm our findings and better elucidate the underlying biological mechanisms.

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Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 25%
Student > Ph. D. Student 4 20%
Researcher 2 10%
Professor 1 5%
Student > Bachelor 1 5%
Other 1 5%
Unknown 6 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 20%
Medicine and Dentistry 4 20%
Immunology and Microbiology 2 10%
Economics, Econometrics and Finance 1 5%
Psychology 1 5%
Other 1 5%
Unknown 7 35%
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 19 September 2017.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from OncoTargets and therapy
#1,597
of 3,016 outputs
Outputs of similar age
#251,382
of 324,453 outputs
Outputs of similar age from OncoTargets and therapy
#52
of 75 outputs
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So far Altmetric has tracked 3,016 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.