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Meta-analysis of shared genetic architecture across ten pediatric autoimmune diseases

Overview of attention for article published in Nature Medicine, August 2015
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
7 news outlets
blogs
3 blogs
twitter
101 X users
patent
3 patents
facebook
9 Facebook pages

Citations

dimensions_citation
210 Dimensions

Readers on

mendeley
304 Mendeley
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3 CiteULike
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Title
Meta-analysis of shared genetic architecture across ten pediatric autoimmune diseases
Published in
Nature Medicine, August 2015
DOI 10.1038/nm.3933
Pubmed ID
Authors

Yun R Li, Jin Li, Sihai D Zhao, Jonathan P Bradfield, Frank D Mentch, S Melkorka Maggadottir, Cuiping Hou, Debra J Abrams, Diana Chang, Feng Gao, Yiran Guo, Zhi Wei, John J Connolly, Christopher J Cardinale, Marina Bakay, Joseph T Glessner, Dong Li, Charlly Kao, Kelly A Thomas, Haijun Qiu, Rosetta M Chiavacci, Cecilia E Kim, Fengxiang Wang, James Snyder, Marylyn D Richie, Berit Flatø, Øystein Førre, Lee A Denson, Susan D Thompson, Mara L Becker, Stephen L Guthery, Anna Latiano, Elena Perez, Elena Resnick, Richard K Russell, David C Wilson, Mark S Silverberg, Vito Annese, Benedicte A Lie, Marilynn Punaro, Marla C Dubinsky, Dimitri S Monos, Caterina Strisciuglio, Annamaria Staiano, Erasmo Miele, Subra Kugathasan, Justine A Ellis, Jane E Munro, Kathleen E Sullivan, Carol A Wise, Helen Chapel, Charlotte Cunningham-Rundles, Struan F A Grant, Jordan S Orange, Patrick M A Sleiman, Edward M Behrens, Anne M Griffiths, Jack Satsangi, Terri H Finkel, Alon Keinan, Eline T Luning Prak, Constantin Polychronakos, Robert N Baldassano, Hongzhe Li, Brendan J Keating, Hakon Hakonarson

Abstract

Genome-wide association studies (GWASs) have identified hundreds of susceptibility genes, including shared associations across clinically distinct autoimmune diseases. We performed an inverse χ(2) meta-analysis across ten pediatric-age-of-onset autoimmune diseases (pAIDs) in a case-control study including more than 6,035 cases and 10,718 shared population-based controls. We identified 27 genome-wide significant loci associated with one or more pAIDs, mapping to in silico-replicated autoimmune-associated genes (including IL2RA) and new candidate loci with established immunoregulatory functions such as ADGRL2, TENM3, ANKRD30A, ADCY7 and CD40LG. The pAID-associated single-nucleotide polymorphisms (SNPs) were functionally enriched for deoxyribonuclease (DNase)-hypersensitivity sites, expression quantitative trait loci (eQTLs), microRNA (miRNA)-binding sites and coding variants. We also identified biologically correlated, pAID-associated candidate gene sets on the basis of immune cell expression profiling and found evidence of genetic sharing. Network and protein-interaction analyses demonstrated converging roles for the signaling pathways of type 1, 2 and 17 helper T cells (TH1, TH2 and TH17), JAK-STAT, interferon and interleukin in multiple autoimmune diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 101 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 304 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
United Kingdom 1 <1%
Finland 1 <1%
Netherlands 1 <1%
Unknown 297 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 71 23%
Student > Ph. D. Student 51 17%
Student > Bachelor 30 10%
Student > Master 29 10%
Professor 18 6%
Other 54 18%
Unknown 51 17%
Readers by discipline Count As %
Medicine and Dentistry 85 28%
Biochemistry, Genetics and Molecular Biology 57 19%
Agricultural and Biological Sciences 49 16%
Immunology and Microbiology 20 7%
Computer Science 7 2%
Other 30 10%
Unknown 56 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 127. 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 08 August 2023.
All research outputs
#329,957
of 25,547,904 outputs
Outputs from Nature Medicine
#1,220
of 9,376 outputs
Outputs of similar age
#3,967
of 278,358 outputs
Outputs of similar age from Nature Medicine
#9
of 78 outputs
Altmetric has tracked 25,547,904 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 9,376 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 105.4. This one has done well, scoring higher than 86% 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 278,358 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 98% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.