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      The genetic aspects of multiple sclerosis

      review-article
      Annals of Indian Academy of Neurology
      Medknow Publications
      Genetics, genome-wide association study, multiple sclerosis

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          Abstract

          The epidemiology of multiple sclerosis has been extensively investigated and two features have consistently emerged: marked geographical variation in prevalence and substantial familial clustering. At first sight, geographic variation would seem to imply an environmental cause for the disease, while familial clustering would seem to suggest that genetic factors have the predominant etiological effect. However, given that geographic variation in prevalence could result from variation in the frequency of genetic risk alleles and that familial clustering might result from shared environmental exposure rather than shared genetic risk alleles, it is clear that these crude inferences are unreliable. Epidemiologists have been resourceful in their attempts to resolve this apparent conflict between “nurture and nature” and have employed a whole variety of sophisticated methods to try and untangle the etiology of multiple sclerosis. The body of evidence that has emerged from these efforts has formed the foundation for decades of research seeking to identify relevant genes and this is the obvious place to start any consideration of the genetics of multiple sclerosis.

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          Most cited references101

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          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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            The future of genetic studies of complex human diseases.

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              Gene map of the extended human MHC.

              The major histocompatibility complex (MHC) is the most important region in the vertebrate genome with respect to infection and autoimmunity, and is crucial in adaptive and innate immunity. Decades of biomedical research have revealed many MHC genes that are duplicated, polymorphic and associated with more diseases than any other region of the human genome. The recent completion of several large-scale studies offers the opportunity to assimilate the latest data into an integrated gene map of the extended human MHC. Here, we present this map and review its content in relation to paralogy, polymorphism, immune function and disease.
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                Author and article information

                Journal
                Ann Indian Acad Neurol
                AIAN
                Annals of Indian Academy of Neurology
                Medknow Publications (India )
                0972-2327
                1998-3549
                Oct-Dec 2009
                : 12
                : 4
                : 206-214
                Affiliations
                University of Cambridge, Department of Clinical Neurosciences, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 2QQ, UK
                Author notes
                For correspondence: Stephen Sawcer, University of Cambridge, Department of Clinical Neurosciences, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 2QQ, UK. E-mail: sjs1016@ 123456mole.bio.cam.ac.uk
                Article
                AIAN-12-206
                10.4103/0972-2327.58272
                2824946
                20182566
                49340aa6-0644-4167-9a9e-137203bb82cc
                © Annals of Indian Academy of Neurology

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 08 February 2009
                : 06 July 2009
                Categories
                Review: Systematic

                Neurology
                multiple sclerosis,genome-wide association study,genetics
                Neurology
                multiple sclerosis, genome-wide association study, genetics

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