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Variants in multiple genes polymorphism association analysis of COPD in the Chinese Li population

Overview of attention for article published in International Journal of Chronic Obstructive Pulmonary Disease, July 2015
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1 tweeter
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1 Google+ user

Citations

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20 Dimensions

Readers on

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25 Mendeley
Title
Variants in multiple genes polymorphism association analysis of COPD in the Chinese Li population
Published in
International Journal of Chronic Obstructive Pulmonary Disease, July 2015
DOI 10.2147/copd.s86721
Pubmed ID
Authors

Yipeng Ding, Danlei Yang, Long Zhou, Junxu Xu, Yu Chen, Ping He, Jinjian Yao, Jiannan Chen, Huan Niu, Pei Sun, Tianbo Jin

Abstract

It is known that the contribution of risk alleles to chronic obstructive pulmonary disease (COPD) may vary between populations. Further, previous studies involving various ethnic groups have revealed associations between COPD and genetic polymorphisms in families with sequence similarity 13, member A (FAM13A), micro-RNA 2054 (MIR2054), SET domain containing protein 7 (SETD7), ring finger protein 150 (RNF150), hedgehog interacting protein (HHIP), and vascular endothelial growth factor A (VEGFA). Our objective was to explore the association between these gene polymorphism and COPD in members of Chinese Li minority population. The Chinese Li population case-control study was conducted to assess genetic associations with COPD risk. Seven single nucleotide polymorphisms (SNPs) located on chromosome 4, including FAM13A, MIR2054, SETD7, RNF150, and HHIP, and nine SNPs in the VEGFA gene were genotyped among 234 cases and 240 controls using Sequenom Mass-ARRAY(®) platform. Linkage disequilibrium (LD) analysis was performed using Haploview software and the associations of the SNP frequencies with COPD were analyzed using chi-square (χ (2)) tests, genetic models analysis, and haplotype analysis. By χ (2) we found the minor allele "G" of rs17050782 was with increased COPD risk in allele model. In genetic models, we found the minor allele of rs7671167 (P=0.028 by dominant model) and rs17050782 (P=0.008 by recessive model) was associated with the increased risk of COPD disease. Likewise, an increased risk of developing COPD was associated with the "GGCGC" haplotype of VEGFA (odds ratio =1.48, 95% confidence interval =1.02-2.12, P=0.037). Our results were the first time to reveal that SNPs from FAM13A (rs7671167), SETD7 (rs17050782), and a haplotype of VEGFA ("GGCGC") are potential susceptibility loci associated with increased COPD risk in Chinese Li minority population.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 28%
Other 3 12%
Student > Master 3 12%
Student > Ph. D. Student 2 8%
Student > Doctoral Student 1 4%
Other 2 8%
Unknown 7 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 16%
Medicine and Dentistry 4 16%
Agricultural and Biological Sciences 3 12%
Immunology and Microbiology 2 8%
Nursing and Health Professions 1 4%
Other 3 12%
Unknown 8 32%

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 30 July 2015.
All research outputs
#14,232,642
of 22,818,766 outputs
Outputs from International Journal of Chronic Obstructive Pulmonary Disease
#1,330
of 2,353 outputs
Outputs of similar age
#135,464
of 263,416 outputs
Outputs of similar age from International Journal of Chronic Obstructive Pulmonary Disease
#36
of 79 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,353 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 39th percentile – i.e., 39% 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 263,416 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.