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IBD risk loci are enriched in multigenic regulatory modules encompassing putative causative genes

Overview of attention for article published in Nature Communications, June 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 (89th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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2 news outlets
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13 X users

Citations

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171 Dimensions

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286 Mendeley
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3 CiteULike
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Title
IBD risk loci are enriched in multigenic regulatory modules encompassing putative causative genes
Published in
Nature Communications, June 2018
DOI 10.1038/s41467-018-04365-8
Pubmed ID
Authors

Yukihide Momozawa, Julia Dmitrieva, Emilie Théâtre, Valérie Deffontaine, Souad Rahmouni, Benoît Charloteaux, François Crins, Elisa Docampo, Mahmoud Elansary, Ann-Stephan Gori, Christelle Lecut, Rob Mariman, Myriam Mni, Cécile Oury, Ilya Altukhov, Dmitry Alexeev, Yuri Aulchenko, Leila Amininejad, Gerd Bouma, Frank Hoentjen, Mark Löwenberg, Bas Oldenburg, Marieke J. Pierik, Andrea E. vander Meulen-de Jong, C. Janneke van der Woude, Marijn C. Visschedijk, The International IBD Genetics Consortium, Mark Lathrop, Jean-Pierre Hugot, Rinse K. Weersma, Martine De Vos, Denis Franchimont, Severine Vermeire, Michiaki Kubo, Edouard Louis, Michel Georges

Abstract

GWAS have identified >200 risk loci for Inflammatory Bowel Disease (IBD). The majority of disease associations are known to be driven by regulatory variants. To identify the putative causative genes that are perturbed by these variants, we generate a large transcriptome data set (nine disease-relevant cell types) and identify 23,650 cis-eQTL. We show that these are determined by ∼9720 regulatory modules, of which ∼3000 operate in multiple tissues and ∼970 on multiple genes. We identify regulatory modules that drive the disease association for 63 of the 200 risk loci, and show that these are enriched in multigenic modules. Based on these analyses, we resequence 45 of the corresponding 100 candidate genes in 6600 Crohn disease (CD) cases and 5500 controls, and show with burden tests that they include likely causative genes. Our analyses indicate that ≥10-fold larger sample sizes will be required to demonstrate the causality of individual genes using this approach.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 286 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 286 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 64 22%
Student > Ph. D. Student 55 19%
Student > Bachelor 20 7%
Student > Master 18 6%
Other 16 6%
Other 51 18%
Unknown 62 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 70 24%
Medicine and Dentistry 48 17%
Agricultural and Biological Sciences 40 14%
Immunology and Microbiology 28 10%
Computer Science 4 1%
Other 21 7%
Unknown 75 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 31 December 2023.
All research outputs
#1,710,046
of 26,017,215 outputs
Outputs from Nature Communications
#23,803
of 58,133 outputs
Outputs of similar age
#35,013
of 345,205 outputs
Outputs of similar age from Nature Communications
#544
of 1,180 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 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58,133 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.5. This one has gotten more attention than average, scoring higher than 58% 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 345,205 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 89% of its contemporaries.
We're also able to compare this research output to 1,180 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 53% of its contemporaries.