Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Full Paper
  • Published:

A genome-wide screen for linkage in Nordic sib-pairs with multiple sclerosis

Abstract

Genetic factors influence susceptibility to multiple sclerosis but the responsible genes remain largely undefined, association with MHC class II alleles being the only established genetic feature of the disease. The Nordic countries have a high prevalence of multiple sclerosis, and to further explore the genetic background of the disease, we have carried out a genome-wide screen for linkage in 136 sibling-pairs with multiple sclerosis from Denmark, Finland, Norway and Sweden by typing 399 microsatellite markers. Seventeen regions where the lod score exceeds the nominal 5% significance threshold (0.7) were identified—1q11–24, 2q24–32, 3p26.3, 3q21.1, 4q12, 6p25.3, 6p21–22, 6q21, 9q34.3, 10p15, 10p12–13, 11p15.5, 12q21.3, 16p13.3, 17q25.3, 22q12–13 and Xp22.3. Although none of these regions reaches the level of genome-wide significance, the number observed exceeds the 10 that would be expected by chance alone. Our results significantly add to the growing body of linkage data relating to multiple sclerosis.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1

Similar content being viewed by others

References

  1. Hogancamp WE, Rodriguez M, Weinshenker BG . The epidemiology of multiple sclerosis Mayo Clin Proc 1997 72: 871–878

    Article  CAS  PubMed  Google Scholar 

  2. Sadovnick AD, Armstrong H, Rice GP et al. A population based study of multiple sclerosis in twins: update Ann Neurol 1993 33: 281–285

    Article  CAS  PubMed  Google Scholar 

  3. Mumford CJ, Wood NW, Kellar-Wood H, Thorpe JW, Miller DH, Compston DA . The British Isles survey of multiple sclerosis in twins Neurology 1994 44: 11–15

    Article  CAS  PubMed  Google Scholar 

  4. Sadovnick AD, Ebers GC, Dyment DA, Risch NJ . Evidence for genetic basis of multiple sclerosis. The Canadian Collaborative Study Group Lancet 1996 347: 1728–1731

    Article  CAS  PubMed  Google Scholar 

  5. Ebers GC, Sadovnick AD, Risch NJ . A genetic basis for familial aggregation in multiple sclerosis. Canadian Collaborative Study Group Nature 1995 377: 150–151

    Article  CAS  PubMed  Google Scholar 

  6. Robertson NP, O’Riordan JI, Chataway J et al. Offspring recurrence rates and clinical characteristics of conjugal multiple sclerosis Lancet 1997 349: 1587–1590

    Article  CAS  PubMed  Google Scholar 

  7. Ebers GC, Yee IML, Sadovnick AD, Duquette P the Canadian Collaborative Study Group. Conjugal multiple sclerosis: population-based prevalence and recurrence risks in offspring Ann Neurol 2000 48: 927–931

    Article  CAS  PubMed  Google Scholar 

  8. Hillert J . Human leukocyte antigen studies in multiple sclerosis Ann Neurol 1994 36: S15–17

    Article  CAS  PubMed  Google Scholar 

  9. Weber JL, May PE . Abundant class of human DNA polymorphisms which can be typed using the polymerase chain reaction Am J Hum Genet 1989 44: 388–396

    CAS  PubMed  PubMed Central  Google Scholar 

  10. Gyapay G, Morissette J, Vignal A et al. The 1993–94 Genethon human genetic linkage map Nat Genet 1994 7: 246–339

    Article  CAS  PubMed  Google Scholar 

  11. Davies JL, Kawaguchi Y, Bennett ST et al. A genome-wide search for human type 1 diabetes susceptibility genes Nature 1994 371: 130–136

    Article  CAS  PubMed  Google Scholar 

  12. Sawcer SJ, Jones HB, Feakes R et al. A genome screen in multiple sclerosis reveals susceptibility loci on chromosomes 6p21 and 17q22 Nat Genet 1996 13: 464–468

    Article  CAS  PubMed  Google Scholar 

  13. Haines JL, Ter-Minassian M, Bazyk A et al. A complete genomic screen for multiple sclerosis underscores a role for the major histocompatibility complex Nat Genet 1996 13: 469–471

    Article  CAS  PubMed  Google Scholar 

  14. Ebers GC, Kukay K, Bulman DE et al. A full genome search in multiple sclerosis Nat Genet 1996 13: 472–476

    Article  CAS  PubMed  Google Scholar 

  15. Kuokkanen S, Gschwend M, Rioux JD et al. Genomewide scan of multiple sclerosis in Finnish multiplex families Am J Hum Genet 1997 61: 1379–1387

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Coraddu F, Sawcer S, D’Alfonso S et al. A genome screen for multiple sclerosis in Sardinian multiplex families Eur J Hum Genet 2001 9: 621–626

    Article  CAS  PubMed  Google Scholar 

  17. Broadley S, Sawcer S, D’Alfonso S et al. A genome screen for multiple sclerosis in Italian families Genes Immun 2001 2: 205–210

    Article  CAS  PubMed  Google Scholar 

  18. Sawcer SJ, Goodfellow PN, Compston DAS . The genetic analysis of multiple sclerosis TIGs 1997 13: 234–239

    Article  CAS  Google Scholar 

  19. Celius EG, Vandvik B . Multiple sclerosis in Oslo, Norway: prevalence on 1 January 1995 and incidence over a 25-year period Eur J Neurol 2001 8: 463–469

    Article  CAS  PubMed  Google Scholar 

  20. Compston A, Ebers G, Lassmann H, McDonald I, Matthews B, Wekerle H . McAlpine’s Multiple Sclerosis Churchill Livingstone: London 1998 pp 63–100

    Google Scholar 

  21. Poser CM . The dissemination of multiple sclerosis: a Viking saga? A historical essay Ann Neurol 1994 36: S231–S243

    Article  PubMed  Google Scholar 

  22. Oturai A, Larsen F, Ryder L et al. Linkage and association analysis of susceptibility regions on chromosome 5 and 6 in 106 Scandinavian sibling pair families with multiple sclerosis Ann Neurol 1999 46: 612–616

    Article  CAS  PubMed  Google Scholar 

  23. Larsen F, Oturai A, Ryder L et al. Linkage analysis of a candidate region in Scandinavian sib pairs with multiple sclerosis reveals linkage to chromosome 17 Genes Immun 2000 1: 456–459

    Article  CAS  PubMed  Google Scholar 

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

    Article  CAS  PubMed  Google Scholar 

  25. Holmans P, Clayton D . Efficiency of typing unaffected relatives in an affected sib-pair linkage study Am J Hum Genet 1995 57: 1221–1232

    CAS  PubMed  PubMed Central  Google Scholar 

  26. Becker KG, Simon RM, Bailey-Wilson JE et al. Clustering of non-major histocompatibility complex susceptibility candidate loci in human autoimmune diseases Proc Natl Acad Sci USA 1998 95: 9979–9984

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Reed P, Cucca F, Jenkins S et al. Evidence for a type 1 diabetes susceptibility locus (IDDM10) on human chromosome 10p11–q11 Hum Mol Genet 1997 6: 1011–1016

    Article  CAS  PubMed  Google Scholar 

  28. Delepine M, Pocoit F, Habita C et al. Evidence of a non-MHC susceptibility locus in type 1 diabetes linked to HLA on chromosome 6 Am J Hum Genet 1997 60: 174–187

    CAS  PubMed  PubMed Central  Google Scholar 

  29. Jawaheer D, Seldin MF, Amos CI et al. A genomewide screen in multiplex rheumatoid arthritis families suggests genetic overlap with other autoimmune diseases Am J Hum Genet 2001 68: 927–936

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. The Transatlantic Multiple Sclerosis Genetics Cooperative. A meta-analysis of genomic screens in multiple sclerosis Multiple Sclerosis 2001 7: 3–11

  31. Poser CM, Paty DW, Scheinberg L et al. New diagnostic criteria for multiple sclerosis: guidelines for research protocols Ann Neurol 1983 13: 227–231

    Article  CAS  PubMed  Google Scholar 

  32. Gronlie SA, Myrvoll E, Hansen G, Gronning M, Mellgren SI . Multiple sclerosis in North Norway, and first appearance in an indigenous population J Neurol 2000 247: 129–133

    Article  CAS  PubMed  Google Scholar 

  33. Bodmer JG, Marsh SG, Albert ED et al. Nomenclature for factors of the HLA system, 1998 Hum Immunol 1999 60: 361–395

    Article  CAS  PubMed  Google Scholar 

  34. Holmans P . Affected sib-pair methods for detecting linkage to dichotomous traits: review of the methodology Hum Biol 1998 70: 1025–1040

    CAS  PubMed  Google Scholar 

  35. Kruglyak L, Lander ES . Complete multipoint sib-pair analysis of qualitative and quantitative traits Am J Hum Genet 1995 57: 439–454

    CAS  PubMed  PubMed Central  Google Scholar 

  36. Ehm M, Wagner M . A test statistic to detect errors in sib-pair relationships Am J Hum Genet 1998 62: 181–188

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Rice JP . The role of meta-analysis in linkage studies of complex traits Am J Med Genet 1997 74: 112–114

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We are grateful to neurologists from the Nordic countries who identified the families involved in this study. We thank J Gray, B Smillie and M. Maranian for expert technical assistance.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to E Akesson.

Additional information

This project has received financial support from the European Commission (project number CT97–2422), the Multiple Sclerosis Society of Great Britain and Northern Ireland (grant 591/00), the Wellcome Trust (grant 057097), the Danish Multiple Sclerosis Society, the Danish Medical Research Council, the Swedish Medical Research Council (project numbers: 11023 and 11220), and the Swedish Association of Neurologically Disabled, Karolinska Institute.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Akesson, E., Oturai, A., Berg, J. et al. A genome-wide screen for linkage in Nordic sib-pairs with multiple sclerosis. Genes Immun 3, 279–285 (2002). https://doi.org/10.1038/sj.gene.6363866

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/sj.gene.6363866

Keywords

This article is cited by

Search

Quick links