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:

Genome-wide TDT analysis in a localized population with a high prevalence of multiple sclerosis indicates the importance of a region on chromosome 14q

Abstract

Epidemiological studies show that susceptibility to multiple sclerosis (MS) has a strong genetic component, but apart from the HLA gene complex, additional genetic factors have proven difficult to map in the general population. Thus, localized populations, where MS patients are assumed to be more closely related, may offer a better opportunity to identify shared chromosomal regions. We have performed a genome-wide scan with 834 microsatellite markers in a data set consisting of 54 MS patients and 114 healthy family members. A group of families from a small village were possible to track back to common ancestors living in the 17th century. We used single marker- and haplotype-based transmission disequilibrium test (TDT) analysis and nonparametric linkage analysis to analyze genotyping data. Regions on chromosomes 2q23–31, 6p24–21, 6q25–27, 14q24–32, 16p13–12 and 17q12–24 were found to be in transmission disequilibrium with MS. Strong transmission disequilibrium was detected in 14q24–32, where several dimarker haplotypes were in transmission disequilibrium in affected individuals. Several regions showed modest evidence for linkage, but linkage and TDT were both clearly positive only for 17q12–24. All patients and controls were also typed for HLA class II genes; however, no evidence for a gene–gene interaction was observed.

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 2
Figure 3
Figure 1

Similar content being viewed by others

References

  1. Gusella JF, Wexler NS, Conneally PM et al. A polymorphic DNA marker genetically linked to Huntington's disease. Nature 1983; 306: 234–238.

    Article  CAS  PubMed  Google Scholar 

  2. Rommens JM, Iannuzzi MC, Kerem B et al. Identification of the cystic fibrosis gene: chromosome walking and jumping. Science 1989; 245: 1059–1065.

    Article  CAS  PubMed  Google Scholar 

  3. 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 

  4. Ebers GC, Bulman DE, Sadovnick AD et al. A population-based study of multiple sclerosis in twins. N Engl J Med 1986; 315: 1638–1642.

    Article  CAS  PubMed  Google Scholar 

  5. Hillert J . Human leukocyte antigen studies in multiple sclerosis. Ann Neurol 1994; 36: (Suppl): S15–S17.

    Article  CAS  PubMed  Google Scholar 

  6. Olerup O, Hillert J . HLA class II-associated genetic susceptibility in multiple sclerosis: a critical evaluation. Tissue Antigens 1991; 38: 1–15.

    Article  CAS  PubMed  Google Scholar 

  7. Heutink P, Oostra BA . Gene finding in genetically isolated populations. Hum Mol Genet 2002; 11: 2507–2515.

    Article  CAS  PubMed  Google Scholar 

  8. Peltonen L, Palotie A, Lange K . Use of population isolates for mapping complex traits. Nat Rev Genet 2000; 1: 182–190.

    Article  CAS  PubMed  Google Scholar 

  9. He B, Giedraitis V, Ligers A et al. Sharing of a conserved haplotype suggests a susceptibility gene for multiple sclerosis at chromosome 17p11. Eur J Hum Genet 2002; 10: 271–275.

    Article  CAS  PubMed  Google Scholar 

  10. Landtblom AM, Boiko A, Soderfeldt B . Distribution of multiple sclerosis in Sweden based on mortality and disability compensation statistics. Neuroepidemiology 2002; 21: 167–179.

    Article  PubMed  Google Scholar 

  11. 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 

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

    Article  CAS  PubMed  Google Scholar 

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

  14. Sawcer S, Maranian M, Setakis E et al. A whole genome screen for linkage disequilibrium in multiple sclerosis confirms disease associations with regions previously linked to susceptibility. Brain 2002; 125: 1337–1347.

    Article  PubMed  Google Scholar 

  15. Saarela J, Schoenberg Fejzo M, Chen D et al. Fine mapping of a multiple sclerosis locus to 2.5 Mb on chromosome 17q22–q24. Hum Mol Genet 2002; 11: 2257–2267.

    Article  CAS  PubMed  Google Scholar 

  16. Akesson E, Oturai A, Berg J et al. A genome-wide screen for linkage in Nordic sib-pairs with multiple sclerosis. Genes Immun 2002; 3: 279–285.

    Article  CAS  PubMed  Google Scholar 

  17. Kantarci OH, Hebrink DD, Achenbach SJ et al. CTLA4 is associated with susceptibility to multiple sclerosis. J Neuroimmunol 2003; 134: 133–141.

    Article  CAS  PubMed  Google Scholar 

  18. Maurer M, Ponath A, Kruse N, Rieckmann P . CTLA4 exon 1 dimorphism is associated with primary progressive multiple sclerosis. J Neuroimmunol 2002; 131: 213–215.

    Article  CAS  PubMed  Google Scholar 

  19. Ligers A, Xu C, Saarinen S, Hillert J, Olerup O . The CTLA-4 gene is associated with multiple sclerosis. J Neuroimmunol 1999; 97: 182–190.

    Article  CAS  PubMed  Google Scholar 

  20. Kong A, Gudbjartsson DF, Sainz J et al. A high-resolution recombination map of the human genome. Nat Genet 2002; 31: 241–247.

    Article  CAS  PubMed  Google Scholar 

  21. Clayton D . A generalization of the transmission/disequilibrium test for uncertain-haplotype transmission. Am J Hum Genet 1999; 65: 1170–1177.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Kruglyak L, Daly MJ, Reeve-Daly MP, Lander ES . Parametric and nonparametric linkage analysis: a unified multipoint approach. Am J Hum Genet 1996; 58: 1347–1363.

    CAS  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to H Modin.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Giedraitis, V., Modin, H., Callander, M. et al. Genome-wide TDT analysis in a localized population with a high prevalence of multiple sclerosis indicates the importance of a region on chromosome 14q. Genes Immun 4, 559–563 (2003). https://doi.org/10.1038/sj.gene.6364024

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/sj.gene.6364024

Keywords

This article is cited by

Search

Quick links