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Replication study of multiple sclerosis (MS) susceptibility alleles and correlation of DNA-variants with disease features in a cohort of Austrian MS patients

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Abstract

We performed a replication study in 883 Austrian multiple sclerosis (MS) patients and 972 control individuals for 25 previously risk-associated loci (39 SNPs). Two loci, rs1109670 (DDEF2/MBOAT2, p < 0.02) and rs16914086 (TBC1D2, p < 0.05), are replicated here for the first time. Furthermore, we tested all 39 SNPs for association with age at disease onset and measures of disease severity. We observed a trend for association of rs3135388 (HLA-DRB1*1501, p < 0.01), rs7090530 (IL2RA, p < 0.026) and rs1841770 (ZIC1, p < 0.017) with a younger age at MS onset and of rs12044852 (CD58, p < 0.035) with shorter time to reach EDSS6.

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References

  1. Lyndsay JW (2005) Familiar recurrence rates and genetic models of multiple sclerosis. Am J Med Genet 135:53–58

    Article  Google Scholar 

  2. Compston A, Coles A (2008) Multiple sclerosis. Lancet 372(9648):1502–1017

    Article  PubMed  CAS  Google Scholar 

  3. McElroy JP, Oksenberg JR (2008) Multiple sclerosis genetics. Curr Top Microbiol Immunol 318:45–72

    Article  PubMed  CAS  Google Scholar 

  4. The International Multiple Sclerosis Genetics Consortium (2007) Risk alleles for multiple sclerosis identified by a genomewide study. N Engl J Med 357(9):851–862

    Article  Google Scholar 

  5. International Multiple Sclerosis Genetics Consortium (IMSGC) (2008) Refining genetic associations in multiple sclerosis. Lancet Neurol 7(7):567–5699

    Article  Google Scholar 

  6. Lundmark F, Duvefelt K, Iacobaeus E, Kockum I, Wallström E, Khademi M, Oturai A, Ryder LP, Saarele J, Harbbo HF, Celius EG, Salter H, Olsson T, Hillert J (2007) Variation in interleukin 7 receptor (IL7R) alpha gene influences risk of multiple sclerosis. Nat Genet 39(9):1108–1113

    Article  PubMed  CAS  Google Scholar 

  7. Weber F, Fontaine B, Cournu-Rebeix I, Kroner A, Knop M, Lutz S, Müller-Sarnowski F, Uhr M, Bettecken T, Kohli M et al (2008) IL2RA and IL7RA genes confer susceptibility for multiple sclerosis in two independent European populations. Genes Immun 9(3):259–263

    Article  PubMed  CAS  Google Scholar 

  8. Hoppenbrouwers IA, Aulchenko YS, Janssens AC, Ramagopalan SV, Broer L, Kayser M, Ebers GC, Oostra BA, van Duijn CM, Hintzen RQ (2009) Replication of CD58 and CLEC16A as genome-wide significant risk genes for multiple sclerosis. J Hum Genet 54(11):676–680

    Article  PubMed  CAS  Google Scholar 

  9. Rubio JP, Stankovich J, Field J, Tubridy N, Marriott M, Chapman C, Bahlo M, Perera D, Johnson LJ, Tait BD, Varney MD, Speed TP, Taylor BV, Foote SJ, Butzkueven H, Kilpatrick TJ (2008) Replication of KIAA0350, IL2RA, RPL5 and CD58 as multiple sclerosis susceptibility genes in Australians. Genes Immun 9(7):624–630

    Article  PubMed  CAS  Google Scholar 

  10. Zoledziewska M, Costa G, Pitzalis M, Cocco E, Melis C, Moi ZP, Murru R, Longi R, Morelli et al (2009) Variation within the CLEC16A gene shows consistent disease association with both multiple sclerosis and type 1 diabetes in Sardinia. Genes Immun 10(1):15–17

    Article  PubMed  CAS  Google Scholar 

  11. Alcina A, Fernández O, Gonzalez JR, Catalá-Rabasa A, Fedetz M, Ndagire D, Lewa L, Guerrero M, Arnal C, Delgado C et al (2010) Tag-SNP analysis of the GFI1-EVI5-RPL5-FAM69 risk locus for multiple sclerosis. Eur J Hum Genet 18(7):827–831

    Article  PubMed  CAS  Google Scholar 

  12. Baranzini SE, Wong J, Gibson A, Galwey N, Naegelin BF, Radue EW, Linbdberg R, Uitdehaag B, Johnson M et al (2009) Genome-wide association of susceptibility and clinical phenotype in multiple sclerosis. Human Mol Gen 18(4):767–777

    Article  CAS  Google Scholar 

  13. Comabella M, Craig DW, Camiña-Tato M, Morcillo C, Lopez C, Navarro A, Rio J, BiomarkerMS Study Group, Montalban X, Martin R (2008) Identification of a novel risk locus for multiple sclerosis at 13q31.3 by a pooled genome-wide scan of 500,000 single nucleotide polymorphisms. PLoS One 3(10):e3490

    Article  PubMed  Google Scholar 

  14. Alcina A, Fedetz M, Ndagire D, Fernández O, Leyva L, Guerrero M, Abad-Grau MM, Arnal C, Delgado C, Lucas M, Izquierdo G, Matesanz F (2009) IL2RA/CD25 gene polymorphisms: uneven association with multiple sclerosis (MS) and type 1 diabetes (T1D). PLoS One 4(1):e4137

    Article  PubMed  Google Scholar 

  15. Maier LM, Lowe CE, Cooper J, Downes K, Anderson DE, Severson C, Clark PM, Healy B, Walker N, Aubin C et al (2009) IL2RA genetic heterogeneity in multiple sclerosis and type 1 diabetes susceptibility and soluble interleukin-2 receptor production. PloS Genet 5(1):e1000322

    Article  PubMed  Google Scholar 

  16. Aulchenko YS, Hoppenbrouwers IA, Ramagopalan SV, Broer L, Jafari N, Hillert J, Link J, Lundström W, Greiner E, Dessa Sadovnick A et al (2008) Genetic variation in the KIF1B locus influences susceptibility to multiple sclerosis. Nat Genet 40(12):1402–1403

    Article  PubMed  CAS  Google Scholar 

  17. Kristjansdottir G, Sandling JK, Bonetti A, Roos IM, Milani L, Wang C, Gustafsdottir SM, Sigurdsson S, Lundmark A, Tienari PJ et al (2008) Interferon regulatory factor 5 (IRF5) gene variants are associated with multiple sclerosis in three distinct populations. J Med Gent 45(6):362–369

    Article  CAS  Google Scholar 

  18. Hoppenbrouwers IA, Aulchenko YS, Ebers GC, Ramagopalan SV, Oostra BA, van Duijn CM, Hintzen RQ (2008) EVI5 is a risk gene for multiple sclerosis. Genes Immun 9(4):334–337

    Article  PubMed  CAS  Google Scholar 

  19. International Multiple Sclerosis Genetics Consortium (IMSGC) (2009) The expanding genetic overlap between multiple sclerosis and type I diabetes. Genes Immun 10(1):11–14

    Article  Google Scholar 

  20. Jensen CJ, Stankovich J, Van der Walt A, Bahlo M, Tylor BV, van der Mei I, Foote SJ, Sigurdsson S, Lundmark A, Tienari PJ et al (2010) Multiple sclerosis susceptibility-associated SNPs do not influence disease severity measures in a cohort of Australian MS patients. PLOS one 5(4):1–7

    Article  Google Scholar 

  21. Okuda DT, Srinivasan R, Oksenberg JR, Goodin DS, Baranzini E, Beheshtian A, Waubant E, Zamvil SS, Leppert D, Qualley P et al (2009) Genotype–phenotype correlations in multiple sclerosis: HLA genes influence disease severity inferred by 1HMR spectroscopy and MRO measures. Brain 132(1):250–259

    Article  PubMed  CAS  Google Scholar 

  22. Cournu-Rebeix I, Genin E, Leray E, Babron MC, Cohen J, Gout C, Alizadeh M, Perdry H, Semana G, Brassat D et al (2008) HLA-DRB1*15 allele influences the later course of relapsing remitting multiple sclerosis. Genes Immun 9(6):570–574

    Article  PubMed  CAS  Google Scholar 

  23. McDonald WI, Compston A, Edan G, Goodkin D, Hartung HP, Lublin FD, Mc Farland HF, Paty DW, Polman CH, Reingold SC et al (2001) Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis. Ann Neurol 50(1):121–127

    Article  PubMed  CAS  Google Scholar 

  24. Confavreux C, Vukusic S (2006) Natural history of multiple sclerosis: a unifying concept. Brain 129(3):606–661

    Article  PubMed  Google Scholar 

  25. Wichmann HE, Gieger C, Illig T, MONICA/KORA Study Group (2005) KORA-gen-resource for population genetics, controls and a broad spectrum of disease phenotypes. Gesundheitswesen 67(Suppl 1):S26–S30, Review

    Article  PubMed  Google Scholar 

  26. Hochberg Y, Benjamini Y (1990) More powerful procedures for multiple significance testing. Stat Med 9(7):811–818

    Article  PubMed  CAS  Google Scholar 

  27. Cavanillas ML, Fernández O, Comabella M, Alcina A, Fedetz M, Izquierdo G, Lucas M, Cenit MC, Arroyo R, Vandenbroeck K et al (2010) Replication of top markers of a genome-wide association study in multiple sclerosis in Spain. Genes Immun 12(2):110–115

    Article  PubMed  Google Scholar 

  28. Hishikawa D, Shindou H, Kobayashi S, Nakanishi H, Taguchi R, Shimizu T (2008) Discovery of a lysophospholipid acyltransferase family essential for membrane asymmetry and diversity. Proc Natl Acad Sci U S A 105(8):2830–2835

    Article  PubMed  CAS  Google Scholar 

  29. Lin PI, Vance JM, Pericak-Vance MA, Martin ER (2007) No gene is an island: the flip-flop phenomenon. Am J Hum Genet 80(3):531–538

    Article  PubMed  CAS  Google Scholar 

  30. Wellcome Trust Case Control Consortium (2007) Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature 447(7145):661–678

    Article  Google Scholar 

  31. Weatherby SJ, Thomson W, Pepper L, Donn R, Worthington J, Mann CL, Davis MB, Fryer AA, Boggild MD, Young CA et al (2001) HLA-DRB1 and disease outcome in multiple sclerosis. J Neurol 248(4):304–310

    Article  PubMed  CAS  Google Scholar 

  32. Masterman T, Ligers A, Olsson T, Andersson M, Olerup O, Hillert J (2000) HLA-DR15 is associated with lower age at onset in multiple sclerosis. Ann Neurol 48(2):211–219

    Article  PubMed  CAS  Google Scholar 

  33. Hensiek AE, Sawcer SJ, Feakes R, Deans J, Mander A, Akesson E, Roxburgh R, Coraddu F, Smith S, Compston DA (2002) HLA-DR 15 is associated with female sex and younger age at diagnosis in multiple sclerosis. J Neurol Neurosurg Psychiatry 72(2):184–187

    Article  PubMed  CAS  Google Scholar 

  34. Smestad C, Brynedal B, Jonasdottir G, Lorentzen AR, Mastermann T, Akesson E, Spurkland A, Lie BA, Palmgren J et al (2007) The impact of HLA-A and DRB1 on age at onset, disease course and severity in Scandinavian multiple sclerosis patients. Eur J Neurol 14(8):535–840

    Article  Google Scholar 

  35. Brand OJ, Lowe CE, Heward JM, Franklyn JA, Cooper JD, Todd JA, Gough SC (2007) Association of the interleukin 2 receptor alpha (IL-2Ralpha)/CD25 gene region with Graves’ disease using a multilocus test and tag SNPs. Clin Endocrinol 66(4):508–512

    CAS  Google Scholar 

  36. Skinningsrud B, Husebye ES, Pearce SH, McDonald DO, Brandal K, Wolff AB, Løvås K, Egeland T, Undlien DE (2008) Polymorphisms in CLEC16A and CIITA at 16p13 are associated with primary adrenal insufficiency. J Clin Endocrinol Metab 93(9):3310–3317

    PubMed  CAS  Google Scholar 

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Correspondence to Mascha C. Schmied or Alexander Zimprich.

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Schmied, M.C., Zehetmayer, S., Reindl, M. et al. Replication study of multiple sclerosis (MS) susceptibility alleles and correlation of DNA-variants with disease features in a cohort of Austrian MS patients. Neurogenetics 13, 181–187 (2012). https://doi.org/10.1007/s10048-012-0316-y

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  • DOI: https://doi.org/10.1007/s10048-012-0316-y

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