The genetics of multiple sclerosis: an up-to-date review

• Published in: Immunological reviews Vol. 248; no. 1; pp. 87 - 103
• Main Authors: Gourraud, Pierre-Antoine, Harbo, Hanne F., Hauser, Stephen L., Baranzini, Sergio E.
• Format: Journal Article
• Language: English
• Published: Oxford, UK Blackwell Publishing Ltd 01-07-2012
• Subjects: Animals; Biomarkers - metabolism; Central nervous system; Data processing; Environment; Environmental factors; epigenetics; experimental autoimmune encephalitis; Gene-Environment Interaction; Genetic Predisposition to Disease; genomics; Heritability; Histocompatibility antigen HLA; HLA Antigens - genetics; HLA Antigens - immunology; Humans; Immune system; Inflammatory diseases; major histocompatibility complex; Multiple sclerosis; Multiple Sclerosis - genetics; Multiple Sclerosis - immunology; Multiple Sclerosis - metabolism; neuroimmunology; Reviews; Risk factors; Statistics
• ISSN: 0105-2896; 1600-065X
• DOI: 10.1111/j.1600-065X.2012.01134.x

Multiple sclerosis (MS) is a prevalent inflammatory disease of the central nervous system that often leads to disability in young adults. Treatment options are limited and often only partly effective. The disease is likely caused by a complex interaction between multiple genes and environmental factors, leading to inflammatory‐mediated central nervous system deterioration. A series of genomic studies have confirmed a central role for the immune system in the development of MS, including genetic association studies that have now dramatically expanded the roster of MS susceptibility genes beyond the longstanding human leukocyte antigen (HLA) association in MS first identified nearly 40 years ago. Advances in technology together with novel models for collaboration across research groups have enabled the discovery of more than 50 non‐HLA genetic risk factors associated with MS. However, with a large proportion of the disease heritability still unaccounted for, current studies are now geared towards identification of causal alleles, associated pathways, epigenetic mechanisms, and gene–environment interactions. This article reviews recent efforts in addressing the genetics of MS and the challenges posed by an ever increasing amount of analyzable data, which is spearheading development of novel statistical methods necessary to cope with such complexity.