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Class II HLA interactions modulate genetic risk for multiple sclerosis

Overview of attention for article published in Nature Genetics, September 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 (94th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
31 X users
patent
2 patents
facebook
4 Facebook pages
googleplus
2 Google+ users
video
1 YouTube creator

Readers on

mendeley
593 Mendeley
citeulike
4 CiteULike
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Article details
Title
Class II HLA interactions modulate genetic risk for multiple sclerosis
Published in
Nature Genetics, September 2015
DOI 10.1038/ng.3395
Pubmed ID
Authors
Abstract

Association studies have greatly refined the understanding of how variation within the human leukocyte antigen (HLA) genes influences risk of multiple sclerosis. However, the extent to which major effects are modulated by interactions is poorly characterized. We analyzed high-density SNP data on 17,465 cases and 30,385 controls from 11 cohorts of European ancestry, in combination with imputation of classical HLA alleles, to build a high-resolution map of HLA genetic risk and assess the evidence for interactions involving classical HLA alleles. Among new and previously identified class II risk alleles (HLA-DRB1*15:01, HLA-DRB1*13:03, HLA-DRB1*03:01, HLA-DRB1*08:01 and HLA-DQB1*03:02) and class I protective alleles (HLA-A*02:01, HLA-B*44:02, HLA-B*38:01 and HLA-B*55:01), we find evidence for two interactions involving pairs of class II alleles: HLA-DQA1*01:01-HLA-DRB1*15:01 and HLA-DQB1*03:01-HLA-DQB1*03:02. We find no evidence for interactions between classical HLA alleles and non-HLA risk-associated variants and estimate a minimal effect of polygenic epistasis in modulating major risk alleles.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 593 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 <1%
Portugal 2 <1%
Sweden 1 <1%
Netherlands 1 <1%
Mexico 1 <1%
United Kingdom 1 <1%
Germany 1 <1%
Brazil 1 <1%
Belgium 1 <1%
Other 0 0%
Unknown 582 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 84 14%
Student > Ph. D. Student 79 13%
Researcher 70 12%
Student > Master 55 9%
Student > Doctoral Student 39 7%
Other 86 15%
Unknown 180 30%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 102 17%
Agricultural and Biological Sciences 72 12%
Biochemistry, Genetics and Molecular Biology 71 12%
Neuroscience 46 8%
Immunology and Microbiology 34 6%
Other 65 11%
Unknown 203 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 21 January 2025.
All research outputs
#1,482,605
of 31,346,776 outputs
Outputs from Nature Genetics
#2,255
of 8,392 outputs
Outputs of similar age
#15,950
of 289,992 outputs
Outputs of similar age from Nature Genetics
#35
of 67 outputs
Altmetric has tracked 31,346,776 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,392 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.5. This one has gotten more attention than average, scoring higher than 73% 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 289,992 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 94% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.