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      Systematic review of genome-wide expression studies in multiple sclerosis

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      1 , 2 , 3 , , 1 , 4 , 5 , 1 , 6 , 7 , 8 , 1 , 9 , 10
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          Abstract

          Background

          Although recent genome-wide association studies have identified several genetic variants contributing to the complex aetiology of multiple sclerosis (MS), expression and functional studies are required to further understand its molecular basis.

          Objectives

          To identify genes and pathways with differential expression in MS.

          Design

          The authors conducted a systematic review of seven microarray studies, in which expression in immune cells was compared between MS patients and controls. These studies include a previously unpublished study, which is described here in detail.

          Results and conclusion

          Although in general the overlap between studies was poor, 229 genes were found to be differentially expressed in MS in at least two studies, of which 11 were in three studies and HSPA1A in four studies. After excluding the authors' unpublished experiment which may have been affected by certain confounding factors and inclusion of treated subjects, 135 genes were identified in at least two studies. The differentially expressed genes were significantly associated with several immunological pathways, including interleukin (IL)-4, IL-6, IL-17 and glucocorticoid receptor signalling pathways. 15 of the 229 loci have shown some association with MS in published genome-wide association studies (p<0.0001), including three loci with confirmed MS risk variants.

          Article summary

          Article focus
          • To identify genes showing differential expression in multiple sclerosis through genome-wide expression profiling in peripheral blood mononuclear cells.

          • To conduct a systematic review of genome-wide expression studies in multiple sclerosis in order to identify the most frequently reported genes.

          • To identify pathways associated with genes most frequently reported as differentially expressed in multiple sclerosis.

          Key messages
          • The vast majority of all genes reported as differentially expressed were only identified in a single study.

          • However, 229 genes were reported as differentially expressed in MS to the same direction in at least two of the seven studies reviewed, 12 genes of which were in at least three studies.

          • After excluding our unpublished experiment. which may have been affected by confounding factors and inclusion of treated subjects, 135 genes were identified in at least two studies.

          • The differentially expressed genes were significantly associated with several immunological pathways, including the IL-4, IL-6, IL-17 and glucocorticoid receptor signalling pathways.

          Strengths and limitations of this study
          • This is the first systematic review of genome-wide expression studies conducted in peripheral immune cells in multiple sclerosis.

          • Strict criteria were applied for inclusion of studies, and clearly underpowered studies with fewer than 10 cases or controls were excluded.

          • Many of the genes we found to be reported by at least two studies have interesting immunological functions and can be considered promising candidates for further studies.

          • However, the studies included should not be considered directly comparable owing to differences in samples, platforms and analyses methods used. In addition, the majority of these studies are small and should be viewed with some caution.

          • All studies were conducted in relatively heterogeneous cell populations, and some of the findings could therefore be explained by differences in numbers of different cell populations rather than differential transcriptional activity in MS.

          • Finally, our previously unpublished microarray study may have been affected by differences between the labs where the patient and controls samples were prepared for arrays, as well as by the higher mean age of controls. Our study also included four patients who had received immunomodulatory treatment at the time of sample collection.

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          Most cited references29

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          A distinct lineage of CD4 T cells regulates tissue inflammation by producing interleukin 17.

          Interleukin 17 (IL-17) has been linked to autoimmune diseases, although its regulation and function have remained unclear. Here we have evaluated in vitro and in vivo the requirements for the differentiation of naive CD4 T cells into effector T helper cells that produce IL-17. This process required the costimulatory molecules CD28 and ICOS but was independent of the cytokines and transcription factors required for T helper type 1 or type 2 differentiation. Furthermore, both IL-4 and interferon-gamma negatively regulated T helper cell production of IL-17 in the effector phase. In vivo, antibody to IL-17 inhibited chemokine expression in the brain during experimental autoimmune encephalomyelitis, whereas overexpression of IL-17 in lung epithelium caused chemokine production and leukocyte infiltration. Thus, IL-17 expression characterizes a unique T helper lineage that regulates tissue inflammation.
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            • Article: not found

            Risk alleles for multiple sclerosis identified by a genomewide study.

            Multiple sclerosis has a clinically significant heritable component. We conducted a genomewide association study to identify alleles associated with the risk of multiple sclerosis. We used DNA microarray technology to identify common DNA sequence variants in 931 family trios (consisting of an affected child and both parents) and tested them for association. For replication, we genotyped another 609 family trios, 2322 case subjects, and 789 control subjects and used genotyping data from two external control data sets. A joint analysis of data from 12,360 subjects was performed to estimate the overall significance and effect size of associations between alleles and the risk of multiple sclerosis. A transmission disequilibrium test of 334,923 single-nucleotide polymorphisms (SNPs) in 931 family trios revealed 49 SNPs having an association with multiple sclerosis (P<1x10(-4)); of these SNPs, 38 were selected for the second-stage analysis. A comparison between the 931 case subjects from the family trios and 2431 control subjects identified an additional nonoverlapping 32 SNPs (P<0.001). An additional 40 SNPs with less stringent P values (<0.01) were also selected, for a total of 110 SNPs for the second-stage analysis. Of these SNPs, two within the interleukin-2 receptor alpha gene (IL2RA) were strongly associated with multiple sclerosis (P=2.96x10(-8)), as were a nonsynonymous SNP in the interleukin-7 receptor alpha gene (IL7RA) (P=2.94x10(-7)) and multiple SNPs in the HLA-DRA locus (P=8.94x10(-81)). Alleles of IL2RA and IL7RA and those in the HLA locus are identified as heritable risk factors for multiple sclerosis. Copyright 2007 Massachusetts Medical Society.
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              • Article: not found

              A genome-wide association study of global gene expression.

              We have created a global map of the effects of polymorphism on gene expression in 400 children from families recruited through a proband with asthma. We genotyped 408,273 SNPs and identified expression quantitative trait loci from measurements of 54,675 transcripts representing 20,599 genes in Epstein-Barr virus-transformed lymphoblastoid cell lines. We found that 15,084 transcripts (28%) representing 6,660 genes had narrow-sense heritabilities (H2) > 0.3. We executed genome-wide association scans for these traits and found peak lod scores between 3.68 and 59.1. The most highly heritable traits were markedly enriched in Gene Ontology descriptors for response to unfolded protein (chaperonins and heat shock proteins), regulation of progression through the cell cycle, RNA processing, DNA repair, immune responses and apoptosis. SNPs that regulate expression of these genes are candidates in the study of degenerative diseases, malignancy, infection and inflammation. We have created a downloadable database to facilitate use of our findings in the mapping of complex disease loci.
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                Author and article information

                Journal
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2011
                18 July 2011
                18 July 2011
                : 1
                : 1
                : e000053
                Affiliations
                [1 ]Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
                [2 ]Helsinki Biomedical Graduate School, University of Helsinki, Helsinki, Finland
                [3 ]Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
                [4 ]Department of Public Health, University of Helsinki, Helsinki, Finland
                [5 ]Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki, Finland
                [6 ]Program in Medical and Population Genetics and Genetic Analysis Platform, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
                [7 ]Department of Medical Genetics, University of Helsinki, Helsinki, Finland
                [8 ]Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
                [9 ]Department of Gynecology and Pediatrics, Helsinki University Central Hospital, Helsinki, Finland
                [10 ]Department of Child Psychiatry, Helsinki University Central Hospital, Helsinki, Finland
                Author notes
                Correspondence to Anu Kemppinen; ak635@ 123456medschl.cam.ac.uk
                Article
                bmjopen-2011-000053
                10.1136/bmjopen-2011-000053
                3191406
                22021740
                7ac0c696-1ab5-43fd-935e-02065b3f9186
                © 2011, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

                This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.

                History
                : 24 December 2010
                : 17 May 2011
                Categories
                Genetics and Genomics
                Research
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                Medicine
                Medicine

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