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Brief Report: The Genetic Profile of Rheumatoid Factor–Positive Polyarticular Juvenile Idiopathic Arthritis Resembles That of Adult Rheumatoid Arthritis

Overview of attention for article published in Arthritis & Rheumatology, April 2018
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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 (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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22 X users

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Title
Brief Report: The Genetic Profile of Rheumatoid Factor–Positive Polyarticular Juvenile Idiopathic Arthritis Resembles That of Adult Rheumatoid Arthritis
Published in
Arthritis & Rheumatology, April 2018
DOI 10.1002/art.40443
Pubmed ID
Authors

Anne Hinks, Miranda C. Marion, Joanna Cobb, Mary E. Comeau, Marc Sudman, Hannah C. Ainsworth, John Bowes, Juvenile Idiopathic Arthritis Consortium for Immunochip, Mara L. Becker, John F. Bohnsack, Johannes‐Peter Haas, Daniel J. Lovell, Elizabeth D. Mellins, J. Lee Nelson, Ellen Nordal, Marilynn Punaro, Ann M. Reed, Carlos D. Rose, Alan M. Rosenberg, Marite Rygg, Samantha L. Smith, Anne M. Stevens, Vibeke Videm, Carol A. Wallace, Lucy R. Wedderburn, Annie Yarwood, Rae S. M. Yeung, Carl D. Langefeld, Susan D. Thompson, Wendy Thomson, Sampath Prahalad

Abstract

Juvenile idiopathic arthritis (JIA) is comprised of seven heterogeneous categories of chronic childhood arthritides. About 5% of children with JIA have rheumatoid factor (RF) positive arthritis, which phenotypically resembles adult rheumatoid arthritis (RA). Our objective was to compare and contrast the genetics of RF-positive polyarticular JIA with RA, and selected other JIA categories, to more fully understand the pathophysiological relationships of inflammatory arthropathies. RF-positive polyarticular JIA cases (n=340) and controls (n=14,412) were genotyped using the Immunochip array. Single nucleotide polymorphisms (SNPs) were tested for association using a logistic regression model adjusting for admixture proportions. Weighted genetic risk scores (wGRS) of published RA and JIA risk loci were calculated and their ability to predict RF-positive polyarticular JIA were compared. As expected, the HLA region was strongly associated with RF-positive polyarticular JIA (p=5.51x10-31 ). Nineteen of 44 RA risk loci and 6 of 27 oligoarticular/RF-negative polyarticular JIA risk loci were associated (p<0.05) with RF-positive polyarticular JIA. The RA wGRS predicted RF-positive polyarticular JIA (AUC=0.71) better than the oligoarticular/RF-negative polyarticular JIA wGRS (AUC=0.56). RF-positive polyarticular JIA was also genetically more similar to RA patients with age at onset <30 years compared to RA onset >70 years. RF-positive polyarticular JIA is genetically more similar to adult RA than to the most common JIA categories and thus appears to be a childhood-onset presentation of autoantibody positive RA. These findings suggest common disease mechanisms, which could lead to novel therapeutic targets and shared treatment strategies. This article is protected by copyright. All rights reserved.

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 16%
Student > Ph. D. Student 9 15%
Student > Bachelor 6 10%
Student > Master 5 8%
Professor 2 3%
Other 6 10%
Unknown 23 38%
Readers by discipline Count As %
Medicine and Dentistry 15 25%
Biochemistry, Genetics and Molecular Biology 8 13%
Immunology and Microbiology 4 7%
Agricultural and Biological Sciences 3 5%
Chemistry 2 3%
Other 6 10%
Unknown 23 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 02 May 2019.
All research outputs
#2,869,728
of 25,608,265 outputs
Outputs from Arthritis & Rheumatology
#932
of 3,081 outputs
Outputs of similar age
#57,390
of 341,142 outputs
Outputs of similar age from Arthritis & Rheumatology
#26
of 66 outputs
Altmetric has tracked 25,608,265 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,081 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.0. This one has gotten more attention than average, scoring higher than 69% 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 341,142 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 83% of its contemporaries.
We're also able to compare this research output to 66 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 62% of its contemporaries.