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Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis

Overview of attention for article published in Nature Genetics, September 2013
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
10 news outlets
blogs
2 blogs
twitter
96 tweeters
patent
3 patents
facebook
1 Facebook page

Citations

dimensions_citation
827 Dimensions

Readers on

mendeley
785 Mendeley
citeulike
4 CiteULike
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Title
Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis
Published in
Nature Genetics, September 2013
DOI 10.1038/ng.2770
Pubmed ID
Abstract

Using the ImmunoChip custom genotyping array, we analyzed 14,498 subjects with multiple sclerosis and 24,091 healthy controls for 161,311 autosomal variants and identified 135 potentially associated regions (P < 1.0 × 10(-4)). In a replication phase, we combined these data with previous genome-wide association study (GWAS) data from an independent 14,802 subjects with multiple sclerosis and 26,703 healthy controls. In these 80,094 individuals of European ancestry, we identified 48 new susceptibility variants (P < 5.0 × 10(-8)), 3 of which we found after conditioning on previously identified variants. Thus, there are now 110 established multiple sclerosis risk variants at 103 discrete loci outside of the major histocompatibility complex. With high-resolution Bayesian fine mapping, we identified five regions where one variant accounted for more than 50% of the posterior probability of association. This study enhances the catalog of multiple sclerosis risk variants and illustrates the value of fine mapping in the resolution of GWAS signals.

Twitter Demographics

The data shown below were collected from the profiles of 96 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 785 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 1%
United Kingdom 7 <1%
Spain 3 <1%
Germany 3 <1%
Canada 2 <1%
Sweden 2 <1%
Brazil 1 <1%
Austria 1 <1%
Korea, Republic of 1 <1%
Other 9 1%
Unknown 747 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 181 23%
Researcher 151 19%
Student > Bachelor 95 12%
Student > Master 91 12%
Student > Doctoral Student 57 7%
Other 143 18%
Unknown 67 9%
Readers by discipline Count As %
Medicine and Dentistry 200 25%
Agricultural and Biological Sciences 195 25%
Biochemistry, Genetics and Molecular Biology 92 12%
Neuroscience 73 9%
Immunology and Microbiology 49 6%
Other 63 8%
Unknown 113 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 169. 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 14 September 2020.
All research outputs
#116,148
of 16,046,105 outputs
Outputs from Nature Genetics
#261
of 6,493 outputs
Outputs of similar age
#1,181
of 170,365 outputs
Outputs of similar age from Nature Genetics
#8
of 86 outputs
Altmetric has tracked 16,046,105 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,493 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.2. This one has done particularly well, scoring higher than 95% 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 170,365 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 99% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.