Resource type
Date created
2010
Authors/Contributors
Author: Watson, Corey
Author: Handel, Adam
Author: Handunnetthi, Lahiru
Author: Berlanga, Antonio
Author: Morahan, Julia
Author: Ramagopalan, Sreeram
Abstract
Multiple sclerosis (MS) is a complex neurological disorder. Its aetiology involves both environmental and genetic factors. Recent genome-wide association studies have identified a number of single nucleotide polymorphisms (SNPs) associated with susceptibility to (MS). We investigated whether these genetic variations were associated with alteration in gene expression.Methods/Principal FindingsWe used a database of mRNA expression and genetic variation derived from immortalised peripheral lymphocytes to investigate polymorphisms associated with MS for correlation with gene expression. Several SNPs were found to be associated with changes in expression: in particular two with HLA-DQA1, HLA-DQA2, HLA-DQB1, HLA-DRB1, HLA-DRB4 and HLA-DRB5, one with ZFP57, one with CD58, two with IL7 and FAM164A, and one with FAM119B, TSFM and KUB3. We found minimal cross-over with a recent whole genome expression study in MS patients.DiscussionWe have shown that many susceptibility loci in MS are associated with changes in gene expression using an unbiased expression database. Several of these findings suggest novel gene candidates underlying the effects of MS-associated genetic variation.
Document
Published as
Handel AE, Handunnetthi L, Berlanga AJ, Watson CT, Morahan JM, et al. (2010) The Effect of Single Nucleotide Polymorphisms from Genome Wide Association Studies in Multiple Sclerosis on Gene Expression. PLoS ONE 5(4): e10142. doi:10.1371/journal.pone.0010142
Publication details
Publication title
PLoS ONE
Document title
The Effect of Single Nucleotide Polymorphisms from Genome Wide Association Studies in Multiple Sclerosis on Gene Expression
Date
2010
Volume
5
Issue
4
Publisher DOI
10.1371/journal.pone.0010142
Copyright statement
Copyright is held by the author(s).
Scholarly level
Peer reviewed?
Yes
Funder
Funder: Wellcome Trust
Language
English
Member of collection
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