↓ Skip to main content

Genome-wide Association Analysis of Psoriatic Arthritis and Cutaneous Psoriasis Reveals Differences in Their Genetic Architecture

Overview of attention for article published in American Journal of Human Genetics, December 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 tweeters
patent
1 patent
facebook
2 Facebook pages

Citations

dimensions_citation
102 Dimensions

Readers on

mendeley
126 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Genome-wide Association Analysis of Psoriatic Arthritis and Cutaneous Psoriasis Reveals Differences in Their Genetic Architecture
Published in
American Journal of Human Genetics, December 2015
DOI 10.1016/j.ajhg.2015.10.019
Pubmed ID
Authors

Philip E. Stuart, Rajan P. Nair, Lam C. Tsoi, Trilokraj Tejasvi, Sayantan Das, Hyun Min Kang, Eva Ellinghaus, Vinod Chandran, Kristina Callis-Duffin, Robert Ike, Yanming Li, Xiaoquan Wen, Charlotta Enerbäck, Johann E. Gudjonsson, Sulev Kõks, Külli Kingo, Tõnu Esko, Ulrich Mrowietz, Andre Reis, H. Erich Wichmann, Christian Gieger, Per Hoffmann, Markus M. Nöthen, Juliane Winkelmann, Manfred Kunz, Elvia G. Moreta, Philip J. Mease, Christopher T. Ritchlin, Anne M. Bowcock, Gerald G. Krueger, Henry W. Lim, Stephan Weidinger, Michael Weichenthal, John J. Voorhees, Proton Rahman, Peter K. Gregersen, Andre Franke, Dafna D. Gladman, Gonçalo R. Abecasis, James T. Elder

Abstract

Psoriasis vulgaris (PsV) is a common inflammatory and hyperproliferative skin disease. Up to 30% of people with PsV eventually develop psoriatic arthritis (PsA), an inflammatory musculoskeletal condition. To discern differences in genetic risk factors for PsA and cutaneous-only psoriasis (PsC), we carried out a genome-wide association study (GWAS) of 1,430 PsA case subjects and 1,417 unaffected control subjects. Meta-analysis of this study with three other GWASs and two targeted genotyping studies, encompassing a total of 9,293 PsV case subjects, 3,061 PsA case subjects, 3,110 PsC case subjects, and 13,670 unaffected control subjects of European descent, detected 10 regions associated with PsA and 11 with PsC at genome-wide (GW) significance. Several of these association signals (IFNLR1, IFIH1, NFKBIA for PsA; TNFRSF9, LCE3C/B, TRAF3IP2, IL23A, NFKBIA for PsC) have not previously achieved GW significance. After replication, we also identified a PsV-associated SNP near CDKAL1 (rs4712528, odds ratio [OR] = 1.16, p = 8.4 × 10(-11)). Among identified psoriasis risk variants, three were more strongly associated with PsC than PsA (rs12189871 near HLA-C, p = 5.0 × 10(-19); rs4908742 near TNFRSF9, p = 0.00020; rs10888503 near LCE3A, p = 0.0014), and two were more strongly associated with PsA than PsC (rs12044149 near IL23R, p = 0.00018; rs9321623 near TNFAIP3, p = 0.00022). The PsA-specific variants were independent of previously identified psoriasis variants near IL23R and TNFAIP3. We also found multiple independent susceptibility variants in the IL12B, NOS2, and IFIH1 regions. These results provide insights into the pathogenetic similarities and differences between PsC and PsA.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters 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 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
China 1 <1%
Unknown 124 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 21%
Student > Ph. D. Student 21 17%
Student > Bachelor 17 13%
Student > Master 17 13%
Unspecified 12 10%
Other 33 26%
Readers by discipline Count As %
Medicine and Dentistry 37 29%
Biochemistry, Genetics and Molecular Biology 26 21%
Agricultural and Biological Sciences 23 18%
Unspecified 17 13%
Immunology and Microbiology 8 6%
Other 15 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 27 October 2016.
All research outputs
#2,630,575
of 12,376,939 outputs
Outputs from American Journal of Human Genetics
#1,763
of 4,403 outputs
Outputs of similar age
#65,774
of 323,787 outputs
Outputs of similar age from American Journal of Human Genetics
#24
of 42 outputs
Altmetric has tracked 12,376,939 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,403 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one has gotten more attention than average, scoring higher than 59% 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 323,787 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 79% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.