Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2011 Jun;21(3):317-24.
doi: 10.1016/j.gde.2010.12.006. Epub 2011 Jan 17.

Revealing the genetic basis of multiple sclerosis: are we there yet?

Affiliations
Review

Revealing the genetic basis of multiple sclerosis: are we there yet?

Sergio E Baranzini. Curr Opin Genet Dev. 2011 Jun.

Abstract

For more than 30 years the only genetic factor associated with susceptibility to multiple sclerosis (MS) was the human leukocyte antigen (HLA) region. Recent advancements in genotyping platforms and the development of more effective statistical methods resulted in the identification of 16 more genes by genome-wide association studies (GWAS) in the last three years alone. While the effect of each of these genes is modest compared to that of HLA, this list is expected to grow significantly in the near future, thus defining a complex landscape in which susceptibility may be determined by a combination of allelic variants in different pathways according to ethnic background, disease sub-type, and specific environmental triggers. A considerable overlap of susceptibility genes among multiple autoimmune diseases is becoming evident and integration of these genetic variants with our current knowledge of affected biological pathways will greatly improve our understanding of mechanisms of general autoimmunity and of tissue specificity.

PubMed Disclaimer

Figures

Figure 1
Figure 1. Autoimmune disease-gene network
Top genetic associations in 7 autoimmune diseases and T2D. The most significant SNP per gene was selected. Only associations with significance of at least p<10−4 are visualized. If a given gene was identified in more than one disease, multiple lines connecting it with each disease were drawn. Lines are colored using a “heat” scheme according to the evidence for association. Thus “hot” edges (e.g. red, orange) represent more significant associations than “cold” edges (e.g. purple, blue). Diseases are depicted by circles of size proportional to the number of associated genes, non-MHC genes by grey triangles. To facilitate visualization, only genes shared by at least two diseases are shown.

References

    1. Hauser SL, Goodin DS. Multiple Sclerosis and other demyelinating diseases. In: Fauci AS, editor. Harrison’s principles of internal medicine. 17. McGraw-Hill Medical; 2008. pp. 405–422.
    1. Compston A. McAlpine’s multiple sclerosis. 4. Philadelphia: Churchill Livingstone Elsevier; 2005.
    1. Oksenberg JR, Baranzini SE, Barcellos LF, Hauser SL. Multiple sclerosis: genomic rewards. J Neuroimmunol. 2001;113:171–184. - PubMed
    1. Hindorff LA, Sethupathy P, Junkins HA, Ramos EM, Mehta JP, Collins FS, Manolio TA. Potential etiologic and functional implications of genome-wide association loci for human diseases and traits. Proc Natl Acad Sci U S A. 2009;106:9362–9367. - PMC - PubMed
    1. NHGRI: A Catalog of Published Genome-Wide Association Studies. Edited by. Bethesda, MD. NHGRI; 2009: The genome-wide association study (GWAS) publications listed here include only those attempting to assay at least 100,000 single nucleotide polymorphisms (SNPs) in the initial stage. Publications are organized from most to least recent date of publication, indexing from online publication if available. Studies focusing only on candidate genes are excluded from this catalog. Studies are identified through weekly PubMed literature searches, daily NIH-distributed compilations of news and media reports, and occasional comparisons with an existing database of GWAS literature (HuGE Navigator).

Publication types

MeSH terms