HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Genes associated with multiple sclerosis: 15 and counting.

Abstract
Evaluation of: The International Multiple Sclerosis Genetics Consortium (IMSGC). IL12A, MPHOSPH9/CDK2AP1 and RGS1 are novel multiple sclerosis susceptibility loci. Genes Immun. 11(5), 397-405 (2010). Multiple sclerosis (MS) develops in genetically susceptible populations as a result of environmental exposures, and discovering these genetic and/or environmental factors will provide fundamental new insights into the pathogenesis, diagnosis and treatment of this disabling disease. With the introduction of genome-wide association studies, the number of genes found to be associated with MS has increased rapidly. In all of these genes, in a study by the International Multiple Sclerosis Genetics Consortium, the classic MS risk locus, HLA-DRB1, stood out with remarkably strong statistical significance, but they also identified 12 other loci and/or genes associated with MS. However, all of these alleles have a very modest odds ratio and they explain approximately 3% of the variance in MS risk. Recently, the International Multiple Sclerosis Genetics Consortium provided evidence for three new loci that show significant association at a genome-wide level: RGS1, IL12A and MPHOSPH9/CDK2AP1. In this article, we will review the three newly discovered susceptibility loci and the implications of genome-wide association studies in MS on clinical practice.
AuthorsMario Habek, Vesna V Brinar, Fran Borovečki
JournalExpert review of molecular diagnostics (Expert Rev Mol Diagn) Vol. 10 Issue 7 Pg. 857-61 (Oct 2010) ISSN: 1744-8352 [Electronic] England
PMID20964605 (Publication Type: Comment, Journal Article)

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: