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Analysis of five chronic inflammatory diseases identifies 27 new associations and highlights disease-specific patterns at shared loci

Overview of attention for article published in Nature Genetics, March 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Citations

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610 Dimensions

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641 Mendeley
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9 CiteULike
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Title
Analysis of five chronic inflammatory diseases identifies 27 new associations and highlights disease-specific patterns at shared loci
Published in
Nature Genetics, March 2016
DOI 10.1038/ng.3528
Pubmed ID
Authors

David Ellinghaus, Luke Jostins, Sarah L Spain, Adrian Cortes, Jörn Bethune, Buhm Han, Yu Rang Park, Soumya Raychaudhuri, Jennie G Pouget, Matthias Hübenthal, Trine Folseraas, Yunpeng Wang, Tonu Esko, Andres Metspalu, Harm-Jan Westra, Lude Franke, Tune H Pers, Rinse K Weersma, Valerie Collij, Mauro D'Amato, Jonas Halfvarson, Anders Boeck Jensen, Wolfgang Lieb, Franziska Degenhardt, Andreas J Forstner, Andrea Hofmann, Stefan Schreiber, Ulrich Mrowietz, Brian D Juran, Konstantinos N Lazaridis, Søren Brunak, Anders M Dale, Richard C Trembath, Stephan Weidinger, Michael Weichenthal, Eva Ellinghaus, James T Elder, Jonathan N W N Barker, Ole A Andreassen, Dermot P McGovern, Tom H Karlsen, Jeffrey C Barrett, Miles Parkes, Matthew A Brown, Andre Franke

Abstract

We simultaneously investigated the genetic landscape of ankylosing spondylitis, Crohn's disease, psoriasis, primary sclerosing cholangitis and ulcerative colitis to investigate pleiotropy and the relationship between these clinically related diseases. Using high-density genotype data from more than 86,000 individuals of European ancestry, we identified 244 independent multidisease signals, including 27 new genome-wide significant susceptibility loci and 3 unreported shared risk loci. Complex pleiotropy was supported when contrasting multidisease signals with expression data sets from human, rat and mouse together with epigenetic and expressed enhancer profiles. The comorbidities among the five immune diseases were best explained by biological pleiotropy rather than heterogeneity (a subgroup of cases genetically identical to those with another disease, possibly owing to diagnostic misclassification, molecular subtypes or excessive comorbidity). In particular, the strong comorbidity between primary sclerosing cholangitis and inflammatory bowel disease is likely the result of a unique disease, which is genetically distinct from classical inflammatory bowel disease phenotypes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 66 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 641 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
United Kingdom 3 <1%
Germany 2 <1%
Japan 2 <1%
Israel 1 <1%
Australia 1 <1%
Qatar 1 <1%
Italy 1 <1%
Argentina 1 <1%
Other 1 <1%
Unknown 625 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 136 21%
Student > Ph. D. Student 114 18%
Student > Bachelor 59 9%
Student > Master 58 9%
Other 33 5%
Other 120 19%
Unknown 121 19%
Readers by discipline Count As %
Medicine and Dentistry 134 21%
Biochemistry, Genetics and Molecular Biology 130 20%
Agricultural and Biological Sciences 96 15%
Immunology and Microbiology 43 7%
Computer Science 14 2%
Other 72 11%
Unknown 152 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 122. 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 22 August 2022.
All research outputs
#346,851
of 26,017,215 outputs
Outputs from Nature Genetics
#655
of 7,655 outputs
Outputs of similar age
#6,151
of 318,356 outputs
Outputs of similar age from Nature Genetics
#16
of 62 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,655 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.8. This one has done particularly well, scoring higher than 91% 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 318,356 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 97% of its contemporaries.
We're also able to compare this research output to 62 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 74% of its contemporaries.