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Identification of a Novel Risk Locus for Multiple Sclerosis at 13q31.3 by a Pooled Genome-Wide Scan of 500,000 Single Nucleotide Polymorphisms

Overview of attention for article published in PLOS ONE, October 2008
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Title
Identification of a Novel Risk Locus for Multiple Sclerosis at 13q31.3 by a Pooled Genome-Wide Scan of 500,000 Single Nucleotide Polymorphisms
Published in
PLOS ONE, October 2008
DOI 10.1371/journal.pone.0003490
Pubmed ID
Authors

Manuel Comabella, David W. Craig, Montse Camiña-Tato, Carlos Morcillo, Cristina Lopez, Arcadi Navarro, Jordi Rio, Xavier Montalban, Roland Martin

Abstract

Multiple sclerosis is a chronic inflammatory demyelinating disease of the central nervous system with an important genetic component and strongest association driven by the HLA genes. We performed a pooling-based genome-wide association study of 500,000 SNPs in order to find new loci associated with the disease. After applying several criteria, 320 SNPs were selected from the microarrays and individually genotyped in a first and independent Spanish Caucasian replication cohort. The 8 most significant SNPs validated in this cohort were also genotyped in a second US Caucasian replication cohort for confirmation. The most significant association was obtained for SNP rs3129934, which neighbors the HLA-DRB/DQA loci and validates our pooling-based strategy. The second strongest association signal was found for SNP rs1327328, which resides in an unannotated region of chromosome 13 but is in linkage disequilibrium with nearby functional elements that may play important roles in disease susceptibility. This region of chromosome 13 has not been previously identified in MS linkage genome screens and represents a novel risk locus for the disease.

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The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Spain 2 2%
Germany 1 <1%
United Kingdom 1 <1%
Cuba 1 <1%
South Africa 1 <1%
Mexico 1 <1%
Unknown 93 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 25%
Student > Ph. D. Student 14 14%
Student > Master 10 10%
Student > Bachelor 9 9%
Student > Doctoral Student 8 8%
Other 19 19%
Unknown 17 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 36%
Medicine and Dentistry 20 20%
Biochemistry, Genetics and Molecular Biology 15 15%
Neuroscience 4 4%
Psychology 3 3%
Other 7 7%
Unknown 16 16%