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The Novel ASIC2 Locus Is Associated with Severe Gingival Inflammation

Overview of attention for article published in JDR Clinical & Translational Research, April 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Article details
Title
The Novel ASIC2 Locus Is Associated with Severe Gingival Inflammation
Published in
JDR Clinical & Translational Research, April 2016
DOI 10.1177/2380084416645290
Pubmed ID
Authors
Abstract

An increasing body of evidence suggests a significant genetic regulation of inflammatory response mechanisms; however, little is known regarding the genetic determinants of severe gingival inflammation (GI). We conducted a genome-wide association study of severe GI among 4077 European American adults, participants in the Dental Atherosclerosis Risk In Communities cohort. The severe GI trait was defined dichotomously using the 90(th) percentile of gingival index ≥2 extent score. Genotyping was performed with the Affymetrix 6.0 array platform and an imputed set of 2.5 million markers, based on HapMap Phase II CEU build 36, was interrogated. Genetic models were based on logistic regression and controlled for ancestry (10 principal components), sex, age, and examination center. One locus on chromosome 17 met genome-wide statistical significance criteria-lead single nucleotide polymorphism (SNP): rs11652874 [minor allele frequency=0.06, intronic to ASIC2 (acid sensing ionic channel-2, formerly named ACCN1); odds ratio=2.1, 95% confidence interval=1.6-2.7, p=3.9×10(-8)]. This association persisted among subjects with severe periodontitis and was robust to adjustment for microbial plaque index. Moreover, the minor [G] allele was associated with higher levels of severe GI in stratified analyses among subsets of participants with high load of either "red" or "orange" complex pathogens, although this association was not statistically significant. While these results will require replication in independent samples and confirmation by mechanistic studies, this locus appears as a promising candidate for severe gingival inflammation. Our findings suggest that genetic variation in ASIC2 is significantly associated with severe gingival inflammation and the association is plaque-independent.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 4 14%
Professor 3 11%
Student > Bachelor 2 7%
Student > Ph. D. Student 2 7%
Researcher 2 7%
Other 3 11%
Unknown 12 43%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 9 32%
Biochemistry, Genetics and Molecular Biology 1 4%
Nursing and Health Professions 1 4%
Agricultural and Biological Sciences 1 4%
Neuroscience 1 4%
Other 0 0%
Unknown 15 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 03 May 2017.
All research outputs
#4,063,409
of 28,832,041 outputs
Outputs from JDR Clinical & Translational Research
#54
of 283 outputs
Outputs of similar age
#55,431
of 317,226 outputs
Outputs of similar age from JDR Clinical & Translational Research
#3
of 8 outputs
Altmetric has tracked 28,832,041 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 283 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has done well, scoring higher than 80% 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 317,226 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.