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Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis
Open accessAbstract
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 disability. Epidemiological studies have shown that genetic factors are primarily responsible for the substantially increased frequency of the disease seen in the relatives of affected individuals, 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 risk. Modestly powered genome-wide association studies (GWAS) 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 susceptibility. 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.
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“The role of the adaptive arm of the immune system, particularly its CD4+ T cell component has become clearer, with multiple different T cell subsets being implicated.(4)”
From Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility (2019) · cites this paper as [4]
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“the role of B cells, dendritic cells and natural killer cells has emerged more clearly, broadening the prior narrative of T cell dysregulation that emerged from earlier studies.(4)”
From Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility (2019) · cites this paper as [4]
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“published efforts to systematically interrogate severity have, thus far, only involved modest numbers of cases, and unanimously fall short of identifying any convincingly associated genetic variants5,10,11.”
From Locus for severity implicates CNS resilience in progression of multiple sclerosis (2023) · cites this paper as [5]
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“refinement of the associations in the HLA region showed that just four variants are sufficient to account for the risk previously attributed to extended haplotype alleles spanning hundreds of kilobases (kb) and many tens of genes.”
From Genome‐wide association studies of multiple sclerosis (2018) · cites this paper as [43]
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“the GWAS enrichment studies all point to risk being mediated by gene regulation in CD4+ T cells43”
From Genome‐wide association studies of multiple sclerosis (2018) · cites this paper as [43]
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“Several studies have explored the genetic basis of clinical course, age of onset and severity, although no genome‐wide significant associations have been discovered.36, 37, 43, 74, 75, 76, 77”
From Genome‐wide association studies of multiple sclerosis (2018) · cites this paper as [43]
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“Although these risk variants have been found to reduce the age at onset5, it is notable that they do not appear to have any impact on disease severity6.”
From Locus for severity implicates CNS resilience in progression of multiple sclerosis (2023) · cites this paper as [5]
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“A further expansion of the IMSGC resulted in a collaborative GWAS of 9772 cases and 17 376 controls, again of European descent, in 2011.43 This study replicated 23 of 26 previously identified associations and identified 29 novel risk loci.”
From Genome‐wide association studies of multiple sclerosis (2018) · cites this paper as [43]
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“it became evident that these loci are strongly enriched for genes acting in T‐cell activation and proliferation pathways.”
From Genome‐wide association studies of multiple sclerosis (2018) · cites this paper as [43]
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Cites
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Compston, A., & Coles, A. J. (2008) · The Lancet · doi:10.1016/s0140-6736(08)61620-7 · Cited by 4,699
Genomic Control for Association Studies
Devlin, B., & Roeder, K. (1999) · Biometrics · doi:10.1111/j.0006-341x.1999.00997.x · Cited by 3,162 · cited 1×
“However, even use of all seven top principal components that captured genome-wide effects in our data resulted in an unacceptably high genomic inflation: for example, the genomic control facto”
Variance component model to account for sample structure in genome-wide association studies
Kang, H. M., Sul, J. H., Service, S. K., Zaitlen, N. A., Kong, S.-Y., Freimer, N. B., Sabatti, C., & Eskin, E. (2010) · Nature Genetics · doi:10.1038/ng.548 · Cited by 2,817
Risk Alleles for Multiple Sclerosis Identified by a Genomewide Study
(2007) · New England Journal of Medicine · doi:10.1056/nejmoa073493 · Cited by 1,746
Association scan of 14,500 nonsynonymous SNPs in four diseases identifies autoimmunity variants
Wellcome Trust Case Control Consortium, & The Australo-Anglo-American Spondylitis Consortium (TASC) (2007) · Nature Genetics · doi:10.1038/ng.2007.17 · Cited by 1,374
Strange, A., Spencer, C. C. A., Band, G., Bellenguez, C., Freeman, C., Pirinen, M., Rautanen, A., Su, Z., Donnelly, P., Capon, F., et al. (2010) · Nature Genetics · doi:10.1038/ng.694 · Cited by 1,056
International MS Genetics Consortium, De Jager, P. L., Jia, X., Wang, J., de Bakker, P. I. W., Ottoboni, L., Aggarwal, N. T., Piccio, L., Raychaudhuri, S., Tran, D., et al. (2009) · Nature Genetics · doi:10.1038/ng.401 · Cited by 800
The Australia and New Zealand Multiple Sclerosis Genetics Consortium (ANZgene) (2009) · Nature Genetics · doi:10.1038/ng.396 · Cited by 550
Genome-wide association analysis of susceptibility and clinical phenotype in multiple sclerosis
Baranzini, S. E., Wang, J., Gibson, R. A., Galwey, N., Naegelin, Y., Barkhof, F., Radue, E.-W., Lindberg, R. L. P., Uitdehaag, B. M. G., Johnson, M. R., et al. (2009) · Human Molecular Genetics · doi:10.1093/hmg/ddn388 · Cited by 476
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Ewing, E., Kular, L., Fernandes, S. J., Karathanasis, N., Lagani, V., Ruhrmann, S., Tsamardinos, I., Tegner, J. N., Piehl, F., Gómez-Cabrero, D., et al. (2019) · EBioMedicine · doi:10.1016/j.ebiom.2019.04.042 · Cited by 77
Marabita, F., Almgren, M., Sjöholm, L. K., Kular, L., Liu, Y., James, T., Kiss, N. B., Feinberg, A. P., Olsson, T. P., Kockum, I. S., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-14788-w · Cited by 76
Veroni, C., & Aloisi, F. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.665718 · Cited by 81
Vitamin D and multiple sclerosis
Hewer, S., Lucas, R. M., van der Mei, I. A. F., & Taylor, B. V. (2013) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2012.10.005 · Cited by 73
Gu, B. J., Field, J., Dutertre, S., Ou, A., Kilpatrick, T. J., Lechner‐Scott, J., Scott, R. J., Lea, R. A., Taylor, B. V., Stankovich, J. M., et al. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv278 · Cited by 73
Smoking affects the interferon beta treatment response in multiple sclerosis
Petersen, E. R., Oturai, A. B., Koch‐Henriksen, N., Magyari, M., Sørensen, P. S., Sellebjerg, F. T., & Søndergaard, H. B. (2018) · Neurology · doi:10.1212/wnl.0000000000004949 · Cited by 72
Larochelle, C., Lécuyer, M., Alvarez, J. I., Charabati, M., Saint‐Laurent, O., Ghannam, S., Kébir, H., Flanagan, K., Yednock, T. A., Duquette, P., et al. (2015) · Annals of Neurology · doi:10.1002/ana.24415 · Cited by 80
Parnell, G. P., Gatt, P. N., Krupa, M., Nickles, D., McKay, F. C., Schibeci, S. D., Batten, M., Baranzini, S. E., Henderson, A. P. D., Barnett, M. H., et al. (2014) · Clinical Immunology · doi:10.1016/j.clim.2014.01.003 · Cited by 72
Zhao, K., Lu, Z., Park, J. W., Zhou, Q., & Xing, Y. (2013) · Genome biology · doi:10.1186/gb-2013-14-7-r74 · Cited by 76
Targeting MALT1 Proteolytic Activity in Immunity, Inflammation and Disease: Good or Bad?
Demeyer, A., Staal, J., & Beyaert, R. (2016) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2015.12.004 · Cited by 72
Feng, X., Bao, R., Li, L., Deisenhammer, F., Arnason, B. G. W., & Reder, A. T. (2019) · EBioMedicine · doi:10.1016/j.ebiom.2019.09.059 · Cited by 73
Histamine Receptor 3 negatively regulates oligodendrocyte differentiation and remyelination
Chen, Y., Wei, Z. C., Guo, T., Zhao, Y., Liu, A., Rubio, J. P., Krull, D., Richardson, J. C., Lu, H., & Wang, R. (2017) · PLoS ONE · doi:10.1371/journal.pone.0189380 · Cited by 73
Lu, M. S., Taylor, B. V., & Körner, H. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.00477 · Cited by 73
Origins and immunopathogenesis of autoimmune central nervous system disorders
Ramanathan, S., Brilot, F., Irani, S. R., & Dale, R. C. (2023) · Nature Reviews Neurology · doi:10.1038/s41582-023-00776-4 · Cited by 71
Further Improvements to Linear Mixed Models for Genome-Wide Association Studies
Widmer, C., Lippert, C., Weissbrod, O., Fusi, N., Kadie, C. M., Davidson, R. I., Listgarten, J., & Heckerman, D. E. (2014) · Scientific Reports · doi:10.1038/srep06874 · Cited by 71
Khorshidahmad, T., Acosta, C., Cortes, C., Lakowski, T. M., Gangadaran, S., & Namaka, M. (2015) · Molecular Neurobiology · doi:10.1007/s12035-014-9074-1 · Cited by 72
TPL2 mediates autoimmune inflammation through activation of the TAK1 axis of IL-17 signaling
Xiao, Y., Jin, J., Chang, M., Nakaya, M., Hu, H., Zou, Q., Zhou, X., Brittain, G. C., Cheng, X., & Sun, S. (2014) · The Journal of Experimental Medicine · doi:10.1084/jem.20132640 · Cited by 72
Chwojnicki, K., Iwaszkiewicz‐Grześ, D., Jankowska, A., Zieliński, M., Łowiec, P., Gliwiński, M., Grzywińska, M., Kowalczyk, K., Konarzewska, A., Glasner, P., et al. (2021) · BioDrugs · doi:10.1007/s40259-020-00462-7 · Cited by 71
Variation at 3p24.1 and 6q23.3 influences the risk of Hodgkin’s lymphoma
Frampton, M., Filho, M. I. D. S., Broderick, P., Thomsen, H., Försti, A., Vijayakrishnan, J., Cooke, R., Enciso-Mora, V., Hoffmann, P., Nöthen, M. M., et al. (2013) · Nature Communications · doi:10.1038/ncomms3549 · Cited by 72
Kuan, V., Martineau, A. R., Griffiths, C., Hyppönen, E., & Walton, R. T. (2013) · BMC Evolutionary Biology · doi:10.1186/1471-2148-13-144 · Cited by 73
Huang, J., & Xie, Z.-F. (2011) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2011.09.024 · Cited by 70
Imputation of KIR Types from SNP Variation Data
Vukcevic, D., Traherne, J. A., Næss, S., Ellinghaus, E., Kamatani, Y., Dilthey, A., Lathrop, M. G., Karlsen, T. H., Franke, A., Moffatt, M. F., et al. (2015) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2015.09.005 · Cited by 73
Smoking and Risk of Multiple Sclerosis
Briggs, F. B. S., Acuna, B., Shen, L., Ramsay, P. P., Quach, H., BERNSTEIN, A. L., Bellesis, K. H., Kockum, I. S., Hedström, A. K., Alfredsson, L. S., et al. (2014) · Epidemiology · doi:10.1097/ede.0000000000000089 · Cited by 71
Genetic Mechanisms Leading to Sex Differences Across Common Diseases and Anthropometric Traits
Traglia, M., Bseiso, D. N. F., Gusev, A., Adviento, B., Park, D., Mefford, J., Zaitlen, N., & Weiss, L. A. (2016) · Genetics · doi:10.1534/genetics.116.193623 · Cited by 72
Alcina, A., Fedetz, M., Fernández, Ó., Saiz, A., Izquierdo, G., Lucas, M., Leyva, L., García-León, J.-A., Abad-Grau, M. D. M., Alloza, I., et al. (2013) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2012-101085 · Cited by 69
The moral concerns of biobank donors: the effect of non-welfare interests on willingness to donate
Vries, R. G. D., Tomlinson, T., Kim, H. M., Krenz, C. D., Ryan, K. A., Lehpamer, N., & Kim, S. Y. H. (2016) · Life Sciences Society and Policy · doi:10.1186/s40504-016-0036-4 · Cited by 69
The Ins and Outs of Central Nervous System Inflammation—Lessons Learned from Multiple Sclerosis
Ramaglia, V., Rojas, O. L., Naouar, I., & Gommerman, J. L. (2021) · Annual Review of Immunology · doi:10.1146/annurev-immunol-093019-124155 · Cited by 72
Genetic heterogeneity: Challenges, impacts, and methods through an associative lens
Woodward, A., Urbanowicz, R. J., Naj, A. C., & Moore, J. H. (2022) · Genetic Epidemiology · doi:10.1002/gepi.22497 · Cited by 71
Hensel, N., Rademacher, S., & Claus, P. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00198 · Cited by 71
Vandenbroeck, K. (2011) · Journal of Interferon & Cytokine Research · doi:10.1089/jir.2011.0103 · Cited by 70
MANBA, CXCR5, SOX8, RPS6KB1 and ZBTB46 are genetic risk loci for multiple sclerosis
Lill, C. M., Schjeide, B. M., Graetz, C., Ban, M., Alcina, A., Ortiz, M. A., Pérez‐Boza, J., Damotte, V., Booth, D. R., de Lapuente, A. L., et al. (2013) · Brain · doi:10.1093/brain/awt101 · Cited by 69
Geginat, J., Paroni, M., Pagani, M., Galimberti, D., Francesco, R. D., Scarpini, E. A., & Abrignani, S. (2017) · Trends in Immunology · doi:10.1016/j.it.2017.04.006 · Cited by 73
DNA methylation in demyelinated multiple sclerosis hippocampus
Chomyk, A. M., Volsko, C. M., Tripathi, A. K., Deckard, S. A., Trapp, B. D., Fox, R. J., & Dutta, R. (2017) · Scientific Reports · doi:10.1038/s41598-017-08623-5 · Cited by 69
Multiple sclerosis-associated CLEC16A controls HLA class II expression via late endosome biogenesis
van Luijn, M. M., Kreft, K. L., Jongsma, M. L., Mes, S. W., Wierenga-Wolf, A. F., van Meurs, M., Melief, M.-J., der Kant, R. V., Janssen, L., Janssen, H., et al. (2015) · Brain · doi:10.1093/brain/awv080 · Cited by 68
Personalized medicine in multiple sclerosis: hope or reality?
Derfuss, T. J. (2012) · BMC Medicine · doi:10.1186/1741-7015-10-116 · Cited by 68
Lu, H. C., Kim, S.-J., Steelman, A. J., Tracy, K., Zhou, B., Michaud, D., Hillhouse, A., Konganti, K., & Li, J. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1913997117 · Cited by 72
Juyal, G., Negi, S., Sood, A., Gupta, A., Singh, P. P., Senapati, S., Zaneveld, J. E., Singh, S. T., Midha, V., van Sommeren, S., et al. (2014) · Gut · doi:10.1136/gutjnl-2013-306625 · Cited by 71
Genetic variants are major determinants of CSF antibody levels in multiple sclerosis
Goris, A., Pauwels, I., Gustavsen, M. W., van Son, B., Hilven, K., Bos, S. D., Celius, E. G., Berg‐Hansen, P., Aarseth, J. H., Myhr, K., et al. (2015) · Brain · doi:10.1093/brain/awu405 · Cited by 68
Gene–environment interaction in autoimmune disease
Ellis, J. A., Kemp, A., & Ponsonby, A. (2014) · Expert Reviews in Molecular Medicine · doi:10.1017/erm.2014.5 · Cited by 71
Webb, L., Amici, S. A., Jablonski, K., Savardekar, H., Panfil, A. R., Li, L., Zhou, W., Peine, K. J., Karkhanis, V. A., Bachelder, E. M., et al. (2017) · The Journal of Immunology · doi:10.4049/jimmunol.1601702 · Cited by 70
Gustafsson, M., Gawel, D. R., Alfredsson, L. S., Baranzini, S. E., Björkander, J., Blomgran, R., Hellberg, S., Eklund, D., Ernerudh, J., Kockum, I. S., et al. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aad2722 · Cited by 67
Investigating Pleiotropy Between Depression and Autoimmune Diseases Using the UK Biobank
Glanville, K. P., Coleman, J. R. I., O’Reilly, P. F., Galloway, J. B., & Lewis, C. M. (2021) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2021.03.002 · Cited by 72
García‐Martín, E., Agúndez, J. A. G., Martínez, C., Benito‐León, J., Millán‐Pascual, J., Calleja, P., Díaz-Sánchez, M., Pisa, D., Turpín‐Fenoll, L., Alonso‐Navarro, H., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0065487 · Cited by 67
Pouget, J. G., Gonçalves, V. F., Spain, S. L., Finucane, H. K., Raychaudhuri, S., Kennedy, J. L., & Knight, J. (2016) · Schizophrenia Bulletin · doi:10.1093/schbul/sbw059 · Cited by 71
Does the Gut Microbiota Influence Immunity and Inflammation in Multiple Sclerosis Pathophysiology?
Adamczyk-Sowa, M. H., Medrek, A., Madej, P., Michlicka, W., & Dobrakowski, P. P. (2017) · Journal of Immunology Research · doi:10.1155/2017/7904821 · Cited by 68
Adaptive human immunity drives remyelination in a mouse model of demyelination
Behi, M. E., Sanson, C., Bachelin, C., Guillot‐Noël, L., Fransson, J., Stankoff, B., Maillart, É., Sarrazin, N., Guillemot, V., Abdi, H., et al. (2017) · Brain · doi:10.1093/brain/awx008 · Cited by 75
Herich, S., Schneider‐Hohendorf, T., Rohlmann, A., Ghadiri, M. K., Schulte‐Mecklenbeck, A., Zondler, L., Janoschka, C., Ostkamp, P., Richter, J., Breuer, J., et al. (2019) · Brain · doi:10.1093/brain/awz301 · Cited by 67
Arima, Y., Kamimura, D., Atsumi, T., Harada, M., Kawamoto, T., Nishikawa, N., Stofkova, A., Ohki, T., Higuchi, K., Morimoto, Y., et al. (2015) · eLife · doi:10.7554/elife.08733 · Cited by 66
JC Polyomavirus Infection Is Strongly Controlled by Human Leucocyte Antigen Class II Variants
Sundqvist, E., Buck, D., Warnke, C., Albrecht, E., Gieger, C., Khademi, M., Bomfim, I. L., Fogdell‐Hahn, A., Link, J., Alfredsson, L. S., et al. (2014) · PLoS Pathogens · doi:10.1371/journal.ppat.1004084 · Cited by 66
Kundu, K., Tardáguila, M., Mann, A., Watt, S., Ponstingl, H., Vasquez, L. J., Schiller, D. V., Morrell, N. W., Stegle, O., Pastinen, T., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01025-y · Cited by 66
Review: The genetics of A lzheimer's disease; putting flesh on the bones
Medway, C., & Morgan, K. (2013) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12101 · Cited by 72
Mitochondrial DNA sequence variation in multiple sclerosis
Tranah, G. J., Santaniello, A., Caillier, S. J., D’Alfonso, S., Boneschi, F. M., Hauser, S. L., & Oksenberg, J. R. (2015) · Neurology · doi:10.1212/wnl.0000000000001744 · Cited by 66
Jelinek, G. A., Marck, C. H., Weiland, T. J., Pereira, N. G., van der Meer, D. M., & Hadgkiss, E. J. (2015) · BMC Neurology · doi:10.1186/s12883-015-0394-1 · Cited by 66
New candidates for CD4 T cell pathogenicity in experimental neuroinflammation and multiple sclerosis
Hoppmann, N., Graetz, C., Paterka, M., Poisa-Beiro, L., Larochelle, C., Hasan, M., Lill, C. M., Zipp, F., & Siffrin, V. (2015) · Brain · doi:10.1093/brain/awu408 · Cited by 66
Decoding multiple sclerosis: an update on genomics and future directions
Oksenberg, J. R. (2013) · Expert Review of Neurotherapeutics · doi:10.1586/14737175.2013.865867 · Cited by 66
Blum, S., & McCombe, P. (2014) · Journal of the Peripheral Nervous System · doi:10.1111/jns5.12074 · Cited by 71
Initiative, A. D. N., Ramanan, V. K., Kim, S., Nudelman, K. N. H., Shen, L., Nho, K. T., Risacher, S. L., Foroud, T., Mukherjee, S., Crane, P. K., et al. (2012) · Brain Imaging and Behavior · doi:10.1007/s11682-012-9196-x · Cited by 66
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Bellenguez, C., Strange, A., Freeman, C., Donnelly, P., & Spencer, C. C. A. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr599 · Cited by 66
Clinical correlates of grey matter pathology in multiple sclerosis
Horáková, D., Kalinčík, T., Dušánková, J. B., & Doležal, O. (2012) · BMC Neurology · doi:10.1186/1471-2377-12-10 · Cited by 68
Nöthlings, U., & Krawczak, M. (2012) · Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz · doi:10.1007/s00103-012-1487-2 · Cited by 66
Shared genetic variants suggest common pathways in allergy and autoimmune diseases
Kreiner‐Møller, E., Waage, J., Standl, M., Brix, S., Pers, T. H., Alves, A. C., Warrington, N. M., Tiesler, C. M. T., Fuertes, E., Franke, L., et al. (2017) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2016.10.055 · Cited by 71
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Lopez-Lee, C., Kodama, L., & Gan, L. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2021.01.002 · Cited by 69
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Noto, D., & Miyake, S. (2020) · Clinical Immunology · doi:10.1016/j.clim.2020.108380 · Cited by 65
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Ahn, J. J., Abu-Rub, M., & Miller, R. H. (2021) · Cells · doi:10.3390/cells10071605 · Cited by 66
Cossburn, M., Harding, K. E., Ingram, G., El‐Shanawany, T., Heaps, A. G., Pickersgill, T. P., Jolles, S. R. A., & Robertson, N. P. (2012) · Neurology · doi:10.1212/wnl.0b013e31827b5927 · Cited by 66
Zochling, J., Newell, F., Charlesworth, J., Leo, P., Stankovich, J. M., Cortés, A., Zhou, Y., Stevens, W., Sahhar, J., Roddy, J., et al. (2014) · Arthritis Research & Therapy · doi:10.1186/s13075-014-0438-8 · Cited by 69
Brendecke, S. M., & Prinz, M. (2015) · Seminars in Immunopathology · doi:10.1007/s00281-015-0520-6 · Cited by 68
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Wells, E. M., Hacohen, Y., Waldman, A. T., Tillema, J. M., Soldatos, A. G., Ances, B. M., Benseler, S. M., Bielekova, B., Dale, R. C., Dalmau, J. O., et al. (2018) · Nature Reviews Neurology · doi:10.1038/s41582-018-0024-9 · Cited by 67
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Metadata
- Authors
- The International Multiple Sclerosis Genetics Consortium & The Wellcome Trust Case Control Consortium 2
- Venue
- Nature
- Published
- 2011-08
- Volume
- 476
- Issue
- 7359
- Pages
- 214-219
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3182531
- OpenAlex
- W2040547343
- Cited by
- 2,697
- References
- 26
- Citations by year
- 2026: 72 · 2025: 101 · 2024: 112 · 2023: 111 · 2022: 136 · 2021: 155 · 2020: 167 · 2019: 173 · 2018: 178 · 2017: 215 · 2016: 220 · 2015: 273 · 2014: 244 · 2013: 279 · 2012: 223
- FWCI
- 175.77
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Discovery Research Portal (University of Dundee) (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
- Keele Research Repository (Keele University) (submittedVersion, cc-by)
- PEARL (University of Plymouth) (submittedVersion)
- eCite Digital Repository (University of Tasmania) (submittedVersion)
- UWA Profiles and Research Repository (UWA) (submittedVersion)
- Murdoch University Research Portal (submittedVersion)
- Arrow@dit (Dublin Institute of Technology) (submittedVersion, cc-by-nc-sa)
- HAL (submittedVersion)
- MDC Repository (Max-Delbrueck-Center for Molecular Medicine) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Figshare (submittedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
- Archivio Istituzionale della Ricerca - Università Vita-Salute San Raffaele (submittedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
- Site cant be reached (submittedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- Research Explorer (The University of Manchester) (submittedVersion)
- Griffith Research Online (submittedVersion)
- VUBIR (Vrije Universiteit Brussel) (submittedVersion)
- STM:n Hallinnonalan avoin julkaisuarkisto (Julkari) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
- Faculty of Health; Institute of Health and Biomedical Innovation
- Zurich Open Repository and Archive (University of Zurich)
- Funders
- Susan G. Komen for the Cure
- Biogen
- Kaiser Permanente
- Children's Hospital of Philadelphia
- Fondazione CRT
- Fondation pour l'Aide à la Recherche sur la Sclérose en Plaques
- Institute of Clinical and Translational Sciences
- Scleroseforeningen
- Helsingin ja Uudenmaan Sairaanhoitopiiri
- Wellcome Trust (085475/Z/08/Z, 068545/Z/02), 085475, G0000934, 075491, 068545, 075491/Z/04,, 090532, 085475/B/08/Z, 084702)
- National Institute for Health and Care Research (G0000934, NF-SI-0507-10379, PDA/02/06/016)
- Parkinson's UK (G0909, J‐0804)
- Multiple Sclerosis Society (898/08)
- Multiple Sclerosis Australia
- Deutsche Forschungsgemeinschaft
- Agence Nationale de la Recherche (ANR-10-INBS-0001)
- Institut National de la Santé et de la Recherche Médicale
- Forskningsrådet för Arbetsliv och Socialvetenskap
- Academy of Finland
- Fonds Wetenschappelijk Onderzoek
- Ministero della Salute (502/92, D.lgs 502/92)
- Hjärnfonden
- Knut och Alice Wallenbergs Stiftelse
- Stockholms Läns Landsting (562183)
- Norges Forskningsråd
- Regione Piemonte (502/92)
- Haukeland Universitetssjukehus
- Vlaamse regering
- National Institutes of Health (5r01ns019142-03, G0000934, 075491/Z/04, 068545/Z/02, UL1TR000448, NS43559, NS19142, RR024992, CA104021, NS049477)
- U.S. Public Health Service (K23N/S048869)
- Medical Research Council (MC_EX_G0800860, 068545/Z/02, G0000934)
- National Health and Medical Research Council (G0000934)
- Helmholtz Zentrum München
- National Cancer Institute (R01CA104021, CA104021)
- National Institute of Allergy and Infectious Diseases (AI076544, R01AI076544)
- Fogarty International Center (K01TW009996)
- National Institute of Neurological Disorders and Stroke (NS067305, NS26799, NS 43559, NS032830, NS049477, NS19142, R01NS032830, R01NS043559, R01NS026799, R01NS049510, R01NS067305, NS049510, R01NS049477)
- National Center for Research Resources (RR020092, C06RR020092, RR-024992, UL1RR024992)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Clinical Neurology › Multiple Sclerosis Research Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Immunology and Microbiology › Immunology › Psoriasis: Treatment and Pathogenesis
- Keywords
- multiple sclerosis, genetic susceptibility, genome-wide association study, major histocompatibility complex, T helper cell differentiation, cell-mediated immunity, neuroinflammation, neurodegeneration, pathogenesis, genetic susceptibility loci
- MeSH terms
- Alleles, Cell Differentiation, Europe, T-Lymphocytes, Helper-Inducer, HLA-DR Antigens, Humans, Immunity, Cellular, Major Histocompatibility Complex, Multiple Sclerosis, HLA-A Antigens, Genome, Human, Sample Size, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Genome-Wide Association Study, HLA-DRB1 Chains
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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