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Novel genetic locus at MHC region for esophageal squamous cell carcinoma in Chinese populations

Overview of attention for article published in PLOS ONE, May 2017
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Title
Novel genetic locus at MHC region for esophageal squamous cell carcinoma in Chinese populations
Published in
PLOS ONE, May 2017
DOI 10.1371/journal.pone.0177494
Pubmed ID
Authors

Peng Zhang, Xin-Min Li, Xue-Ke Zhao, Xin Song, Ling Yuan, Fang-Fang Shen, Zong-Min Fan, Li-Dong Wang

Abstract

Our previous genome-wide association study (GWAS) identified three independent single nucleotide polymorphisms (SNPs) in human major histocompatibility complex (MHC) region showing association with esophageal squamous cell carcinoma (ESCC). In this study, we increased GWAS sample size on MHC region and performed validation in an independent ESCC cases and normal controls with aim to find additional loci at MHC region showing association with an increased risk to ESCC. The 1,077 ESCC cases and 1,733 controls were genotyped using Illumina Human 610-Quad Bead Chip, and 451 cases and 374 controls were genotyped using Illumina Human 660W-Quad Bead Chip. After quality control, the selected SNPs were replicated by TaqMan genotyping assay on another 2,026 ESCC cases and 2,384 normal controls. By excluding low quality SNPs in primary GWAS screening, we selected 2,533 SNPs in MHC region for association analysis, and identified 5 SNPs with p <10-4. Further validation analysis in an independent case-control cohort confirmed one of the 5 SNPs (rs911178) that showed significant association with ESCC. rs911178 (PGWAS = 6.125E-04, OR = 0.644 and Preplication = 1.406E-22, OR = 0.489) was located at upstream of SCAND3. The rs911178 (SCAND3 gene) in MHC region is significantly associated with high risk of ESCC. This study not only reveal the potential role of MHC region for the pathogenesis of ESCC, but also provides important clues for the establishment of tools and methods for screening high risk population of ESCC.

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The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 27%
Student > Ph. D. Student 2 18%
Researcher 2 18%
Student > Master 2 18%
Unknown 2 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 36%
Medicine and Dentistry 2 18%
Immunology and Microbiology 1 9%
Nursing and Health Professions 1 9%
Unknown 3 27%
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 12 May 2017.
All research outputs
#15,459,013
of 22,971,207 outputs
Outputs from PLOS ONE
#132,004
of 195,786 outputs
Outputs of similar age
#195,260
of 310,860 outputs
Outputs of similar age from PLOS ONE
#2,798
of 4,389 outputs
Altmetric has tracked 22,971,207 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 195,786 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 4,389 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.