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Genome-Wide Association Study of Multiple Sclerosis Confirms a Novel Locus at 5p13.1

Overview of attention for article published in PLOS ONE, May 2012
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Title
Genome-Wide Association Study of Multiple Sclerosis Confirms a Novel Locus at 5p13.1
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0036140
Pubmed ID
Authors

Fuencisla Matesanz, Antonio González-Pérez, Miguel Lucas, Serena Sanna, Javier Gayán, Elena Urcelay, Ilenia Zara, Maristella Pitzalis, María L. Cavanillas, Rafael Arroyo, Magdalena Zoledziewska, Marisa Marrosu, Oscar Fernández, Laura Leyva, Antonio Alcina, Maria Fedetz, Concha Moreno-Rey, Juan Velasco, Luis M. Real, Juan Luis Ruiz-Peña, Francesco Cucca, Agustín Ruiz, Guillermo Izquierdo

Abstract

Multiple Sclerosis (MS) is the most common progressive and disabling neurological condition affecting young adults in the world today. From a genetic point of view, MS is a complex disorder resulting from the combination of genetic and non-genetic factors. We aimed to identify previously unidentified loci conducting a new GWAS of Multiple Sclerosis (MS) in a sample of 296 MS cases and 801 controls from the Spanish population. Meta-analysis of our data in combination with previous GWAS was done. A total of 17 GWAS-significant SNPs, corresponding to three different loci were identified:HLA, IL2RA, and 5p13.1. All three have been previously reported as GWAS-significant. We confirmed our observation in 5p13.1 for rs9292777 using two additional independent Spanish samples to make a total of 4912 MS cases and 7498 controls (ORpooled = 0.84; 95%CI: 0.80-0.89; p = 1.36 × 10-9). This SNP differs from the one reported within this locus in a recent GWAS. Although it is unclear whether both signals are tapping the same genetic association, it seems clear that this locus plays an important role in the pathogenesis of MS.

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Geographical breakdown

Country Count As %
Spain 1 1%
Unknown 85 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 17 20%
Student > Ph. D. Student 16 19%
Researcher 11 13%
Student > Master 8 9%
Student > Doctoral Student 8 9%
Other 11 13%
Unknown 15 17%
Readers by discipline Count As %
Medicine and Dentistry 22 26%
Agricultural and Biological Sciences 19 22%
Biochemistry, Genetics and Molecular Biology 17 20%
Neuroscience 5 6%
Computer Science 2 2%
Other 7 8%
Unknown 14 16%