Genome‐wide meta‐analysis identifies novel multiple sclerosis susceptibility loci
Open accessAbstract
Objective: To perform a 1‐stage meta‐analysis of genome‐wide association studies (GWAS) of multiple sclerosis (MS) susceptibility and to explore functional consequences of new susceptibility loci. Methods: We synthesized 7 MS GWAS. Each data set was imputed using HapMap phase II, and a per single nucleotide polymorphism (SNP) meta‐analysis was performed across the 7 data sets. We explored RNA expression data using a quantitative trait analysis in peripheral blood mononuclear cells (PBMCs) of 228 subjects with demyelinating disease. Results: We meta‐analyzed 2,529,394 unique SNPs in 5,545 cases and 12,153 controls. We identified 3 novel susceptibility alleles: rs170934 T at 3p24.1 (odds ratio [OR], 1.17; p = 1.6 × 10 −8 ) near EOMES , rs2150702 G in the second intron of MLANA on chromosome 9p24.1 (OR, 1.16; p = 3.3 × 10 −8 ), and rs6718520 A in an intergenic region on chromosome 2p21, with THADA as the nearest flanking gene (OR, 1.17; p = 3.4 × 10 −8 ). The 3 new loci do not have a strong cis effect on RNA expression in PBMCs. Ten other susceptibility loci had a suggestive p < 1 × 10 −6 , some of these loci have evidence of association in other inflammatory diseases (ie, IL12B , TAGAP , PLEK , and ZMIZ1 ). Interpretation: We have performed a meta‐analysis of GWAS in MS that more than doubles the size of previous gene discovery efforts and highlights 3 novel MS susceptibility loci. These and additional loci with suggestive evidence of association are excellent candidates for further investigations to refine and validate their role in the genetic architecture of MS. ANN NEUROL 2011;70:897–912
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By 2011, common variants in 26 genomic loci had been associated with multiple sclerosis risk and independently replicated.
“by 2011, common variants in 26 genomic loci had been associated with MS risk and independently replicated”
From Genome‐wide association studies of multiple sclerosis (2018) · cites this paper as [40]
The Introduction reports over a dozen MS susceptibility loci, and the Results discuss additional known loci. But the paper does not establish a count of 26 independently replicated loci: the Results say its findings are not independent replication evidence for IL2RA, CD58, or STAT3, and the Discussion says the new loci require replication. No page numbers are available in our copy. (LLM, conf=0.88)
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Cites
PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089 · see citing works
Biological, clinical and population relevance of 95 loci for blood lipids
Teslovich, T. M., Musunuru, K., Smith, A. V., Edmondson, A. C., Stylianou, I. M., Koseki, M., Pirruccello, J. P., Ripatti, S., Chasman, D. I., Willer, C. J., et al. (2010) · Nature · doi:10.1038/nature09270 · Cited by 3,487 · see citing works
Genomic Control for Association Studies
Devlin, B., & Roeder, K. (1999) · Biometrics · doi:10.1111/j.0006-341x.1999.00997.x · Cited by 3,162 · see citing works
Risk Alleles for Multiple Sclerosis Identified by a Genomewide Study
(2007) · New England Journal of Medicine · doi:10.1056/nejmoa073493 · Cited by 1,746 · see citing works
Myocardial Infarction Genetics Consortium (2009) · Nature Genetics · doi:10.1038/ng.327 · Cited by 1,088 · see citing works
Practical aspects of imputation-driven meta-analysis of genome-wide association studies
de Bakker, P. I. W., Ferreira, M. A. R., Jia, X., Neale, B. M., Raychaudhuri, S., & Voight, B. F. (2008) · Human Molecular Genetics · doi:10.1093/hmg/ddn288 · Cited by 531 · see citing works
New susceptibility locus for coronary artery disease on chromosome 3q22.3
Italian Atherosclerosis, T., Erdmann, J., Myocardial Infarction Genetics Consortium, Wellcome Trust Case Control Consortium, Cardiogenics Consortium, Großhennig, A., Braund, P. S., König, I. R., Hengstenberg, C., Hall, A. S., et al. (2009) · Nature Genetics · doi:10.1038/ng.307 · Cited by 484 · see citing works
Jakkula, E., Leppä, V., Sulonen, A.-M., Varilo, T., Kallio, S., Kemppinen, A., Purcell, S., Koivisto, K., Tienari, P., Sumelahti, M.-L., et al. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.01.017 · Cited by 245 · see citing works
Yin–Yang of costimulation: crucial controls of immune tolerance and function
Nurieva, R. I., Liu, X., & Dong, C. (2009) · Immunological Reviews · doi:10.1111/j.1600-065x.2009.00769.x · Cited by 157 · see citing works
Flagged first, then by citations
Research works printed but not linked: 33
- [1]Hauser SL Oksenberg JR The neurobiology of multiple sclerosis: genes, inflammation, and neurodegeneration Neuron 2006 52 61 76 17015227
- [3]De Jager PL Jia X Wang J Meta-analysis of genome scans and replication identify CD6, IRF8 and TNFRSF1A as new multiple sclerosis susceptibility loci Nat Genet 2009 41 776 782 19525953 PMC2757648
- [4]Sanna S Pitzalis M Zoledziewska M Variants within the immunoregulatory CBLB gene are associated with multiple sclerosis Nat Genet 2010 42 495 7 20453840 PMC3786343
- [5]The Australia and New Zealand Multiple Sclerosis Genetics Consortium (ANZgene) Genome-wide association study identifies new multiple sclerosis susceptibility loci on chromosomes 12 and 20 Nat Genet 2009 41 824 828 19525955
- [6]McDonald WI Compston A Edan G Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis Ann Neurol 2001 50 121 127 11456302
- [7]De Jager PL Chibnik LB Cui J Integration of genetic risk factors into a clinical algorithm for multiple sclerosis susceptibility: a weighted genetic risk score Lancet Neurol 2009 8 1111 1119 19879194 PMC3099419
- [8]Price AL Patterson NJ Plenge RM Principal components analysis corrects for stratification in genome-wide association studies Nat Genet 2006 38 904 909 16862161
- [9]Li Y Abecasis GR Rapid haplotype reconstruction and missing genotype inference American Journal of Human Genetics 2006 S79 2290
- [12]Higgins JP Thompson SG Quantifying heterogeneity in a meta-analysis Stat Med 2002 21 1539 1558 12111919
- [13]Ioannidis JP Patsopoulos NA Evangelou E Uncertainty in heterogeneity estimates in meta- analyses BMJ 2007 335 914 916 17974687 PMC2048840
- [15]Voight BF Scott LJ Steinthorsdottir V Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis Nat Genet 2010 42 579 589 20581827 PMC3080658
- [16]Lango Allen H Estrada K Lettre G Hundreds of variants clustered in genomic loci and biological pathways affect human height Nature 2010 467 832 8 20881960 PMC2955183
- [20]Samani NJ Erdmann J Hall AS Genomewide association analysis of coronary artery disease N Engl J Med 2007 357 443 453 17634449 PMC2719290
- [21]Gauthier SA Mandel M Guttmann CR Predicting short-term disability in multiple sclerosis Neurology 2007 68 2059 2065 17562826
- [22]De Jager PL Baecher-Allan C Maier LM The role of the CD58 locus in multiple sclerosis Proc Natl Acad Sci U S A 2009 106 5264 5269 19237575 PMC2664005
- [23]Maier LM Lowe CE Cooper J IL2RA genetic heterogeneity in multiple sclerosis and type 1 diabetes susceptibility and soluble interleukin-2 receptor production PLoS Genet 2009 5 e1000322 19119414 PMC2602853
- [25]Aulchenko YS Hoppenbrouwers IA Ramagopalan SV Genetic variation in the KIF1B locus influences susceptibility to multiple sclerosis Nat Genet 2008 40 1402 1403 18997785
- [26]International Multiple Sclerosis Genetics Consortium (IMSGC) Comprehensive follow-up of the first genome-wide association study of multiple sclerosis identifies KIF21B and TMEM39A as susceptibility loci Hum Mol Genet 2010 19 953 962 20007504 PMC2816610
- [27]Barrett JC Hansoul S Nicolae DL Genome-wide association defines more than 30 distinct susceptibility loci for Crohn’s disease Nat Genet 2008 40 955 962 18587394 PMC2574810
- [28]Nair RP Duffin KC Helms C Genome-wide scan reveals association of psoriasis with IL-23 and NF-kappaB pathways Nat Genet 2009 41 199 204 19169254 PMC2745122
- [29]Hunt KA Zhernakova A Turner G Newly identified genetic risk variants for celiac disease related to the immune response Nat Genet 2008 40 395 402 18311140 PMC2673512
- [30]Smyth DJ Plagnol V Walker NM Shared and distinct genetic variants in type 1 diabetes and celiac disease N Engl J Med 2008 359 2767 2777 19073967 PMC2840835
- [31]Lovett-Racke AE Rocchini AE Choy J Silencing T-bet defines a critical role in the differentiation of autoreactive T lymphocytes Immunity 2004 21 719 731 15539157
- [32]Placek K Coffre M Maiella S Genetic and epigenetic networks controlling T helper 1 cell differentiation Immunology 2009 127 155 162 19476511 PMC2691780
- [34]Stahl EA Raychaudhuri S Remmers EF Genome-wide association study meta- analysis identifies seven new rheumatoid arthritis risk loci Nat Genet 2010 42 508 14 20453842 PMC4243840
- [35]Dubois PC Trynka G Franke L Multiple common variants for celiac disease influencing immune gene expression Nat Genet 2010 42 295 302 20190752 PMC2847618
- [36]Pereira TV Patsopoulos NA Salanti G Discovery properties of genome-wide association signals from cumulatively combined data sets Am J Epidemiol 2009 170 1197 1206 19808636 PMC2800267
- [37]Nicolae DL Gamazon E Zhang W Trait-associated SNPs are more likely to be eQTLs: annotation to enhance discovery from GWAS PLoS Genet 2010 6 e1000888 20369019 PMC2848547
- [38]Brynedal B Duvefelt K Jonasdottir G HLA-A confers an HLA-DRB1 independent influence on the risk of multiple sclerosis PLoS One 2007 2 e664 17653284 PMC1919434
- [39]Brereton CF Sutton CE Lalor SJ Inhibition of ERK MAPK suppresses IL-23- and IL-1-driven IL-17 production and attenuates autoimmune disease J Immunol 2009 183 1715 1723 19570828
- [40]de Beaucoudrey L Puel A Filipe-Santos O Mutations in STAT3 and IL12RB1 impair the development of human IL-17-producing T cells J Exp Med 2008 205 1543 1550 18591412 PMC2442631
- [41]Marchini J Howie B Genotype imputation for genome-wide association studies Nat Rev Genet 2010 11 499 511 20517342
- [42]Li Y Willer C Sanna S Genotype imputation Annu Rev Genomics Hum Genet 2009 10 387 406 19715440 PMC2925172
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- Authors
- Patsopoulos, N. A., the Bayer Pharma MS Genetics Working Group, T. S. C. O. S. E. I. A. A. C., & de Bakker, P. I. W.
- Affiliations
- Broad Institute (US)
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2011-12
- Volume
- 70
- Issue
- 6
- Pages
- 897-912
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- PMC
- PMC3247076
- OpenAlex
- W2110228129
- Cited by
- 353
- References
- 9
- Citations by year
- 2026: 7 · 2025: 14 · 2024: 15 · 2023: 10 · 2022: 13 · 2021: 13 · 2020: 20 · 2019: 23 · 2018: 22 · 2017: 25 · 2016: 33 · 2015: 41 · 2014: 36 · 2013: 51 · 2012: 26
- FWCI
- 4.68
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Annals of Neurology (publishedVersion)
- PubMed (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion)
- eCite Digital Repository (University of Tasmania) (submittedVersion)
- UWA Profiles and Research Repository (UWA) (submittedVersion)
- Murdoch University Research Portal (submittedVersion)
- Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Archivio Istituzionale della Ricerca - Università Vita-Salute San Raffaele (submittedVersion)
- Pure Amsterdam UMC (submittedVersion)
- Griffith Research Online (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- National Multiple Sclerosis Society
- John T. Reid Charitable Trusts
- Wellcome Trust (068545/Z/02), G0000934, 068545)
- National Institute for Health and Care Research (NF-SI-0508-10335)
- Multiple Sclerosis Australia
- Trish Multiple Sclerosis Research Foundation
- National Institutes of Health (G0000934, 068545/Z/02)
- Medical Research Council (068545/Z/02, G0000934)
- Australian Research Council (LP0776744)
- National Heart, Lung, and Blood Institute (068545/Z/02, G0000934)
- National Institute of Mental Health (R01 MH61675, U01-MH79470, R01 MH-59571, R01MH59588, U01MH46276, R01-MH59566, R01-MH60879, U01MH046276, R01-MH60870, R01-MH59586, R01MH059566, R01 MH81800, R01MH59587, U01MH046318, R01-MH59565, R01MH059571, R01MH060879, R01MH059565, U01MH46289, R01MH081800, R01 MH-67257, R01MH060870, U01MH046289, U01MH079469, R01MH061675, R01MH059586, R01MH059588, R01MH067257, U01MH079470, U01MH46318, R01MH059587, U01MH-79469)
- National Human Genome Research Institute (R01HG004960)
- National Institute of Allergy and Infectious Diseases (P01AI039671)
- National Institute of Neurological Disorders and Stroke (RC2NS070340, R01NS067305)
- National Center for Research Resources
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › 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 loci, single nucleotide polymorphisms, Eomes, THADA, peripheral blood mononuclear cells, gene expression, demyelinating disease
- MeSH terms
- Adolescent, Adult, Child, Disease Susceptibility, Female, Gene Frequency, Genotype, Humans, Male, Middle Aged, Multiple Sclerosis, Meta-Analysis as Topic, Odds Ratio, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Young Adult
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