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Genome-wide association pathway analysis to identify candidate single nucleotide polymorphisms and molecular pathways for gastric adenocarcinoma

Overview of attention for article published in Tumor Biology, February 2015
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Title
Genome-wide association pathway analysis to identify candidate single nucleotide polymorphisms and molecular pathways for gastric adenocarcinoma
Published in
Tumor Biology, February 2015
DOI 10.1007/s13277-015-3236-2
Pubmed ID
Authors

Hongcheng Zhu, Meilin Yang, Hao Zhang, Xiaochen Chen, Xi Yang, Chi Zhang, Qin Qin, Hongyan Cheng, Xinchen Sun

Abstract

To demonstrate candidate single nucleotide polymorphisms that might affect susceptibility to gastric adenocarcinoma as well as their potential mechanisms and pathway hypotheses, we performed a genome-wide association study dataset of gastric adenocarcinoma. Our study included 472,342 single nucleotide polymorphisms from 2766 cases of gastric cardia adenocarcinoma cases and 11,013 subjects from north central China as control groups. The identify candidate causal SNPs and pathways (ICSNPathway) analysis was employed to identify 13 candidate single nucleotide polymorphisms, nine genes, and 15 pathways. The top three candidate SNPs were rs3765524 (-log10(p) = 8.556), rs2274223 (-log10(p) = 8.633), and rs2076472 (-log10(p) = 3.205). The strongest mechanism involved the modulation of rs4745 and rs12904, thereby affecting their regulatory roles in ephrin receptor binding (p = 0.001; FDR = 0.005). The second strongest hypothetical biological mechanism was that rs932972 and rs1052177 alters the regulatory role of the glycolysis pathway (p < 0.001; FDR = 0.013). The most significant pathway was the regulation of the ephrin receptor binding pathway, which involved EFNA1, TIAM1, EFNA5, EFNB2, and EFNB3.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Researcher 3 21%
Unspecified 2 14%
Student > Postgraduate 1 7%
Student > Master 1 7%
Other 0 0%
Unknown 3 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 21%
Medicine and Dentistry 3 21%
Unspecified 2 14%
Engineering 2 14%
Neuroscience 1 7%
Other 1 7%
Unknown 2 14%
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 18 February 2015.
All research outputs
#15,325,004
of 22,792,160 outputs
Outputs from Tumor Biology
#1,050
of 2,622 outputs
Outputs of similar age
#151,118
of 255,126 outputs
Outputs of similar age from Tumor Biology
#57
of 175 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,622 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 53% of its peers.
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 255,126 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 175 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.