Abstract
Multiple sclerosis is a common disease of the central nervous system in which the interplay between inflammatory and neurodegenerative processes typically results in intermittent neurological disturbance followed by progressive accumulation of disability1. Epidemiological studies have shown that genetic factors are primarily responsible for the substantially increased frequency of the disease seen in the relatives of affected individuals2,3, and systematic attempts to identify linkage in multiplex families have confirmed that variation within the major histocompatibility complex (MHC) exerts the greatest individual effect on risk4. Modestly powered genome-wide association studies (GWAS)5,6,7,8,9,10 have enabled more than 20 additional risk loci to be identified and have shown that multiple variants exerting modest individual effects have a key role in disease susceptibility11. Most of the genetic architecture underlying susceptibility to the disease remains to be defined and is anticipated to require the analysis of sample sizes that are beyond the numbers currently available to individual research groups. In a collaborative GWAS involving 9,772 cases of European descent collected by 23 research groups working in 15 different countries, we have replicated almost all of the previously suggested associations and identified at least a further 29 novel susceptibility loci. Within the MHC we have refined the identity of the HLA-DRB1 risk alleles and confirmed that variation in the HLA-A gene underlies the independent protective effect attributable to the class I region. Immunologically relevant genes are significantly overrepresented among those mapping close to the identified loci and particularly implicate T-helper-cell differentiation in the pathogenesis of multiple sclerosis.
This is a preview of subscription content, access via your institution
Relevant articles
Open Access articles citing this article.
-
Genetic susceptibility for autoimmune diseases and white blood cell count
Scientific Reports Open Access 11 April 2023
-
Multitrait genome-wide analyses identify new susceptibility loci and candidate drugs to primary sclerosing cholangitis
Nature Communications Open Access 24 February 2023
-
Multi-ancestry and multi-trait genome-wide association meta-analyses inform clinical risk prediction for systemic lupus erythematosus
Nature Communications Open Access 07 February 2023
Access options
Subscribe to this journal
Receive 51 print issues and online access
$199.00 per year
only $3.90 per issue
Rent or buy this article
Get just this article for as long as you need it
$39.95
Prices may be subject to local taxes which are calculated during checkout




References
Compston, A. & Coles, A. Multiple sclerosis. Lancet 372, 1502–1517 (2008)
Dyment, D. A., Yee, I. M., Ebers, G. C. & Sadovnick, A. D. Multiple sclerosis in stepsiblings: recurrence risk and ascertainment. J. Neurol. Neurosurg. Psychiatry 77, 258–259 (2006)
Hemminki, K., Li, X., Sundquist, J., Hillert, J. & Sundquist, K. Risk for multiple sclerosis in relatives and spouses of patients diagnosed with autoimmune and related conditions. Neurogenetics 10, 5–11 (2009)
The International Multiple Sclerosis Genetics Consortium . A high-density screen for linkage in multiple sclerosis. Am. J. Hum. Genet. 77, 454–467 (2005)
The International Multiple Sclerosis Genetics Consortium . Risk alleles for multiple sclerosis identified by a genomewide study. N. Engl. J. Med. 357, 851–862 (2007)
The Wellcome Trust Case Control Consortium & The Australo-Anglo-American Spondylitis Consortium . Association scan of 14,500 nonsynonymous SNPs in four diseases identifies autoimmunity variants. Nature Genet. 39, 1329–1337 (2007)
Baranzini, S. E. et al. Genome-wide association analysis of susceptibility and clinical phenotype in multiple sclerosis. Hum. Mol. Genet. 18, 767–778 (2009)
De Jager, P. L. et al. Meta-analysis of genome scans and replication identify CD6, IRF8 and TNFRSF1A as new multiple sclerosis susceptibility loci. Nature Genet. 41, 776–782 (2009)
The ANZgene Consortium . Genome-wide association study identifies new multiple sclerosis susceptibility loci on chromosomes 12 and 20. Nature Genet. 41, 824–828 (2009)
Sanna, S. et al. Variants within the immunoregulatory CBLB gene are associated with multiple sclerosis. Nature Genet. 42, 495–497 (2010)
The International Multiple Sclerosis Genetics Consortium (IMSGC) . Evidence for polygenic susceptibility to multiple sclerosis—the shape of things to come. Am. J. Hum. Genet. 86, 621–625 (2010)
The U.K. Parkinson’s Disease Consortium & the Wellcome Trust Case Control Consortium 2 . Dissection of the genetics of Parkinson’s disease identifies an additional association 5′ of SNCA and multiple associated haplotypes at 17q21. Hum. Mol. Genet. 20, 345–353 (2011)
The Genetic Analysis of Psoriasis Consortium & the Wellcome Trust Case Control Consortium 2 . A genome-wide association study identifies new psoriasis susceptibility loci and an interaction between HLA-C and ERAP1 . Nature Genet. 42, 985–990 (2010)
Devlin, B. & Roeder, K. Genomic control for association studies. Biometrics 55, 997–1004 (1999)
Kang, H. M. et al. Variance component model to account for sample structure in genome-wide association studies. Nature Genet. 42, 348–354 (2010)
Ashburner, M. et al. Gene Ontology: tool for the unification of biology. Nature Genet. 25, 25–29 (2000)
Pierrot-Deseilligny, C. & Souberbielle, J. C. Is hypovitaminosis D one of the environmental risk factors for multiple sclerosis? Brain 133, 1869–1888 (2010)
Steinman, L. A molecular trio in relapse and remission in multiple sclerosis. Nature Rev. Immunol. 9, 440–447 (2009)
Bielekova, B. et al. Effect of anti-CD25 antibody daclizumab in the inhibition of inflammation and stabilization of disease progression in multiple sclerosis. Arch. Neurol. 66, 483–489 (2009)
Leslie, S., Donnelly, P. & McVean, G. A statistical method for predicting classical HLA alleles from SNP data. Am. J. Hum. Genet. 82, 48–56 (2008)
Brynedal, B. et al. HLA-A confers an HLA-DRB1 independent influence on the risk of multiple sclerosis. PLoS ONE 2, e664 (2007)
Field, J. et al. A polymorphism in the HLA-DPB1 gene is associated with susceptibility to multiple sclerosis. PLoS ONE 5, e13454 (2010)
Su, Z., Cardin, N., Donnelly, P. & Marchini, J. A Bayesian method for detecting and characterizing allelic heterogeneity and boosting signals in genome-wide association studies. Stat. Sci. 24, 430–450 (2009)
Barcellos, L. F. et al. Heterogeneity at the HLA-DRB1 locus and risk for multiple sclerosis. Hum. Mol. Genet. 15, 2813–2824 (2006)
Dyment, D. A. et al. Complex interactions among MHC haplotypes in multiple sclerosis: susceptibility and resistance. Hum. Mol. Genet. 14, 2019–2026 (2005)
Masterman, T. et al. HLA-DR15 is associated with lower age at onset in multiple sclerosis. Ann. Neurol. 48, 211–219 (2000)
Acknowledgements
The principal funding for this study was provided by the Wellcome Trust (085475/B/08/Z, 085475/Z/08/Z, 075491/Z/04/Z and 068545/Z/02). The work was also supported by National Institutes of Health (AI076544, NS032830, NS049477, NS19142, NS049510, NS26799, NS43559, NS067305, CA104021, RR020092, RR024992 and K23N/S048869), US National Multiple Sclerosis Society (RG 4201-A-1), Nancy Davis Foundation, Cambridge NIHR Biomedical Research Centre, UK Medical Research Council (G0700061, G0000934), Multiple Sclerosis Society of Great Britain and Northern Ireland (898/08), Wolfson Royal Society Merit Award, Peter Doherty fellowship, Lagrange Fellowship, Harry Weaver Neuroscience Scholarships, Australian National Health and Medical Research Council (NHMRC), Australian Research Council Linkage Program Grant, JHH Charitable Trust Fund, Multiple Sclerosis Research Australia, Health Research Council New Zealand, National MS Society of New Zealand, Wetenschappelijk Onderzoek Multiple Sclerose, Bayer Chair on Fundamental Genetic Research regarding the Neuroimmunological Aspects of Multiple Sclerosis, Biogen Idec Chair Translational Research in Multiple Sclerosis, FWO-Vlaanderen, Belgian Neurological Society, Danish Multiple Sclerosis Society, Neuropromise EU grant (LSHM-CT-2005-018637), Center of Excellence for Disease Genetics of the Academy of Finland, Sigrid Juselius Foundation, Helsinki University Central Hospital Research Foundation, Bundesministerium für Bildung und Technologie (KKNMS consortium Control MS), Deutsche Forschungsgemeinschaft, Institut National de la Santé et de la Recherche Médicale (INSERM), Association pour la Recherche sur la Sclérose En Plaques (ARSEP), Association Française contre les Myopathies (AFM), Italian Foundation for Multiple Sclerosis (FISM grants 2002/R/40, 2005/R/10, 2008/R/11 and 2008/R/15), Italian Ministry of Health (grant Giovani Ricercatori 2007 - D.lgs 502/92), Regione Piemonte (grants 2003, 2004, 2008, 2009), CRT Foundation, Turin, Moorfields/UCL Institute of Ophthalmology NIHR Biomedical Research Centre, Norwegian MS Register and Biobank, Research Council of Norway, South-Eastern and Western Norway regional Health Authories, Ullevål University Hospital Scientific Advisory Council, Haukeland University Hospital, Amici Centro Sclerosi Multipla del San Raffaele (ACESM), Association of British Neurologists, Spanish Ministry of Health (FISPI060117), Bibbi and Niels Jensens Foundation, Montel Williams foundation, Hjärnfonden and Swedish medical research council (8691), Stockholm County Council (562183), Swedish Council for Working life and Social Research, Gemeinnützige Hertie Stiftung, Northern California Kaiser Permanente members and Polpharma Foundation, and Washington University Institute of Clinical and Translational Sciences—Brain, Behavioral and Performance Unit. We acknowledge use of data from the British 1958 Birth Cohort, the UK National Blood Service, the popgen biobank, the KORA and MONICA Augsburg studies, the Accelerated Cure Project, the Brigham & Women’s Hospital PhenoGenetic Project, the Swedish CAD project, the Norwegian Bone Marrow Donor Registry, the Children’s Hospital of Philadelphia (CHOP), the Swedish Breast Cancer study, BRC-REFGENSEP (Pitié-Salpêtrière Centre d’Investigation Clinique (CIC) and Généthon) and HYPERGENES (HEALTH-F4-2007-201550). Projects received support from the German Ministry of Education and Research, the Helmholtz Zentrum München—National Research Center, the German National Genome Research Network (NGFN), the LMUinnovativ, the Knut and Alice Wallenberg Foundation, the Center for Applied Genomics from the Children’s Hospital of Philadelphia Development Award, the Agency for Science & Technology and Research of Singapore, and the Susan G. Komen Breast Cancer Foundation. We thank S. Bertrand, J. Bryant, S. L. Clark, L. Collimedaglia, G. Coniglio, J. S. Conquer, B. Colombo, T. Dibling, G. Eckstein, J. C. Eldred, G. Fischer, S. Gamble, P. Gregersen, R. Guerrero, C. Hind, P. Lichtner, L. Moiola, H. Mousavi, R. Naismith, R. J. Parks, R. Pearson, V. Pilato, M. Radaelli, E. Scarpini, C. R. Stribling, T. Strom, S. Taylor, D. Vukcevic and A. Wilk for their help and support. Detailed acknowledgements are available in Supplementary Information. This manuscript is dedicated to the memory of L. Peltonen, a member of both the IMSGC and the WTCCC2, in recognition of her contributions to, and her leadership in, human genetics.
Author information
Authors and Affiliations
Consortia
Contributions
Details of individual contributions are listed in Supplementary Information.
Corresponding authors
Ethics declarations
Competing interests
The author declare no competing financial interests.
Additional information
A list of authors and their affiliations appears at the end of the paper; membership of both consortia is listed in Supplementary Information.
Supplementary information
Supplementary Information
The file contains Supplementary Text, Supplementary Tables 1-39, Supplementary Figures 1-35 with legends and additional references (see table of contents). (PDF 3691 kb)
Supplementary Data
The file contains Supplementary Data, comprising of Supplementary Tables A-C. (XLS 183 kb)
Rights and permissions
About this article
Cite this article
The International Multiple Sclerosis Genetics Consortium & The Wellcome Trust Case Control Consortium 2. Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis. Nature 476, 214–219 (2011). https://doi.org/10.1038/nature10251
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/nature10251
This article is cited by
-
Millennium-old pathogenic Mendelian mutation discovery for multiple osteochondromas from a Gaelic Medieval graveyard
European Journal of Human Genetics (2023)
-
Origins and immunopathogenesis of autoimmune central nervous system disorders
Nature Reviews Neurology (2023)
-
Genetic susceptibility for autoimmune diseases and white blood cell count
Scientific Reports (2023)
-
The impact of the gut microbiome on extra-intestinal autoimmune diseases
Nature Reviews Immunology (2023)
-
Multi-ancestry and multi-trait genome-wide association meta-analyses inform clinical risk prediction for systemic lupus erythematosus
Nature Communications (2023)
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.