↓ Skip to main content

Exome sequencing study in patients with multiple sclerosis reveals variants associated with disease course

Overview of attention for article published in Journal of Neuroinflammation, September 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
1 blog
twitter
4 X users
patent
1 patent

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
43 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Exome sequencing study in patients with multiple sclerosis reveals variants associated with disease course
Published in
Journal of Neuroinflammation, September 2018
DOI 10.1186/s12974-018-1307-1
Pubmed ID
Authors

Elia Gil-Varea, Elena Urcelay, Carles Vilariño-Güell, Carme Costa, Luciana Midaglia, Fuencisla Matesanz, Alfredo Rodríguez-Antigüedad, Jorge Oksenberg, Laura Espino-Paisan, A. Dessa Sadovnick, Albert Saiz, Luisa M. Villar, Juan Antonio García-Merino, Lluís Ramió-Torrentà, Juan Carlos Triviño, Ester Quintana, René Robles, Antonio Sánchez-López, Rafael Arroyo, Jose C. Alvarez-Cermeño, Angela Vidal-Jordana, Sunny Malhotra, Nicolas Fissolo, Xavier Montalban, Manuel Comabella

Abstract

It remains unclear whether disease course in multiple sclerosis (MS) is influenced by genetic polymorphisms. Here, we aimed to identify genetic variants associated with benign and aggressive disease courses in MS patients. MS patients were classified into benign and aggressive phenotypes according to clinical criteria. We performed exome sequencing in a discovery cohort, which included 20 MS patients, 10 with benign and 10 with aggressive disease course, and genotyping in 2 independent validation cohorts. The first validation cohort encompassed 194 MS patients, 107 with benign and 87 with aggressive phenotypes. The second validation cohort comprised 257 patients, of whom 224 patients had benign phenotypes and 33 aggressive disease courses. Brain immunohistochemistries were performed using disease course associated genes antibodies. By means of single-nucleotide polymorphism (SNP) detection and comparison of allele frequencies between patients with benign and aggressive phenotypes, a total of 16 SNPs were selected for validation from the exome sequencing data in the discovery cohort. Meta-analysis of genotyping results in two validation cohorts revealed two polymorphisms, rs28469012 and rs10894768, significantly associated with disease course. SNP rs28469012 is located in CPXM2 (carboxypeptidase X, M14 family, member 2) and was associated with aggressive disease course (uncorrected p value < 0.05). SNP rs10894768, which is positioned in IGSF9B (immunoglobulin superfamily member 9B) was associated with benign phenotype (uncorrected p value < 0.05). In addition, a trend for association with benign phenotype was observed for a third SNP, rs10423927, in NLRP9 (NLR family pyrin domain containing 9). Brain immunohistochemistries in chronic active lesions from MS patients revealed expression of IGSF9B in astrocytes and macrophages/microglial cells, and expression of CPXM2 and NLRP9 restricted to brain macrophages/microglia. Genetic variants located in CPXM2, IGSF9B, and NLRP9 have the potential to modulate disease course in MS patients and may be used as disease activity biomarkers to identify patients with divergent disease courses. Altogether, the reported results from this study support the influence of genetic factors in MS disease course and may help to better understand the complex molecular mechanisms underlying disease pathogenesis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 16%
Student > Ph. D. Student 6 14%
Student > Doctoral Student 4 9%
Student > Bachelor 4 9%
Other 4 9%
Other 6 14%
Unknown 12 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 14%
Neuroscience 6 14%
Medicine and Dentistry 6 14%
Agricultural and Biological Sciences 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 2 5%
Unknown 19 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 17 February 2022.
All research outputs
#2,158,221
of 23,138,859 outputs
Outputs from Journal of Neuroinflammation
#274
of 2,672 outputs
Outputs of similar age
#47,130
of 337,490 outputs
Outputs of similar age from Journal of Neuroinflammation
#6
of 68 outputs
Altmetric has tracked 23,138,859 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,672 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 89% 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 337,490 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 86% of its contemporaries.
We're also able to compare this research output to 68 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 91% of its contemporaries.