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The interaction between smoking and HLA genes in multiple sclerosis: replication and refinement

Overview of attention for article published in European Journal of Epidemiology, June 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

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3 X users
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1 Wikipedia page

Citations

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44 Dimensions

Readers on

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85 Mendeley
Title
The interaction between smoking and HLA genes in multiple sclerosis: replication and refinement
Published in
European Journal of Epidemiology, June 2017
DOI 10.1007/s10654-017-0250-2
Pubmed ID
Authors

Anna Karin Hedström, Michail Katsoulis, Ola Hössjer, Izaura L. Bomfim, Annette Oturai, Helle Bach Sondergaard, Finn Sellebjerg, Henrik Ullum, Lise Wegner Thørner, Marte Wendel Gustavsen, Hanne F. Harbo, Dragana Obradovic, Milena A. Gianfrancesco, Lisa F. Barcellos, Catherine A. Schaefer, Jan Hillert, Ingrid Kockum, Tomas Olsson, Lars Alfredsson

Abstract

Interactions between environment and genetics may contribute to multiple sclerosis (MS) development. We investigated whether the previously observed interaction between smoking and HLA genotype in the Swedish population could be replicated, refined and extended to include other populations. We used six independent case-control studies from five different countries (Sweden, Denmark, Norway, Serbia, United States). A pooled analysis was performed for replication of previous observations (7190 cases, 8876 controls). Refined detailed analyses were carried out by combining the genetically similar populations from the Nordic studies (6265 cases, 8401 controls). In both the pooled analyses and in the combined Nordic material, interactions were observed between HLA-DRB*15 and absence of HLA-A*02 and between smoking and each of the genetic risk factors. Two way interactions were observed between each combination of the three variables, invariant over categories of the third. Further, there was also a three way interaction between the risk factors. The difference in MS risk between the extremes was considerable; smokers carrying HLA-DRB1*15 and lacking HLA-A*02 had a 13-fold increased risk compared with never smokers without these genetic risk factors (OR 12.7, 95% CI 10.8-14.9). The risk of MS associated with HLA genotypes is strongly influenced by smoking status and vice versa. Since the function of HLA molecules is to present peptide antigens to T cells, the demonstrated interactions strongly suggest that smoking alters MS risk through actions on adaptive immunity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 13%
Student > Bachelor 10 12%
Student > Doctoral Student 9 11%
Researcher 8 9%
Student > Ph. D. Student 8 9%
Other 15 18%
Unknown 24 28%
Readers by discipline Count As %
Medicine and Dentistry 22 26%
Biochemistry, Genetics and Molecular Biology 11 13%
Neuroscience 10 12%
Agricultural and Biological Sciences 4 5%
Immunology and Microbiology 2 2%
Other 6 7%
Unknown 30 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 19 September 2018.
All research outputs
#6,099,722
of 22,979,862 outputs
Outputs from European Journal of Epidemiology
#642
of 1,640 outputs
Outputs of similar age
#97,316
of 317,335 outputs
Outputs of similar age from European Journal of Epidemiology
#10
of 31 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,640 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.1. This one has gotten more attention than average, scoring higher than 60% 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 317,335 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 31 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 67% of its contemporaries.