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GWAS analysis implicates NF-κB-mediated induction of inflammatory T cells in multiple sclerosis

Overview of attention for article published in Genes & Immunity, June 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 994)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
315 X users
wikipedia
1 Wikipedia page

Readers on

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94 Mendeley
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Article details
Title
GWAS analysis implicates NF-κB-mediated induction of inflammatory T cells in multiple sclerosis
Published in
Genes & Immunity, June 2016
DOI 10.1038/gene.2016.23
Pubmed ID
Authors
Abstract

To identify genes and biologically relevant pathways associated with risk to develop multiple sclerosis (MS), the Genome-Wide Association Studies noise reduction method (GWAS-NR) was applied to MS genotyping data. Regions of association were defined based on the significance of linkage disequilibrium blocks. Candidate genes were cross-referenced based on a review of current literature, with attention to molecular function and directly interacting proteins. Supplementary annotations and pathway enrichment scores were generated using The Database for Annotation, Visualization and Integrated Discovery. The candidate set of 220 MS susceptibility genes prioritized by GWAS-NR was highly enriched with genes involved in biological pathways related to positive regulation of cell, lymphocyte and leukocyte activation (P=6.1E-15, 1.2E-14 and 5.0E-14, respectively). Novel gene candidates include key regulators of NF-κB signaling and CD4+ T helper type 1 (Th1) and T helper type 17 (Th17) lineages. A large subset of MS candidate genes prioritized by GWAS-NR were found to interact in a tractable pathway regulating the NF-κB-mediated induction and infiltration of pro-inflammatory Th1/Th17 T-cell lineages, and maintenance of immune tolerance by T-regulatory cells. This mechanism provides a biological context that potentially links clinical observations in MS to the underlying genetic landscape that may confer susceptibility.Genes and Immunity advance online publication, 9 June 2016; doi:10.1038/gene.2016.23.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 315 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 94 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 %
Mexico 1 1%
Japan 1 1%
Unknown 92 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 17 18%
Researcher 16 17%
Student > Master 11 12%
Student > Bachelor 8 9%
Student > Doctoral Student 5 5%
Other 11 12%
Unknown 26 28%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 16%
Agricultural and Biological Sciences 14 15%
Medicine and Dentistry 10 11%
Neuroscience 9 10%
Immunology and Microbiology 8 9%
Other 7 7%
Unknown 31 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 241. 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 July 2022.
All research outputs
#190,866
of 32,825,318 outputs
Outputs from Genes & Immunity
#4
of 994 outputs
Outputs of similar age
#2,903
of 336,086 outputs
Outputs of similar age from Genes & Immunity
#1
of 6 outputs
Altmetric has tracked 32,825,318 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 994 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done particularly well, scoring higher than 99% 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 336,086 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them