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Genetic Risk in Multiple Sclerosis: Susceptibility, Modifiers and Unresolved Questions
Jingni He1, Nicholas B Blackburn2, Vilija G Jokubaitis3,4
1Department of Neuroscience, School of Translational Medicine, Monash University, Level 6, The Alfred Centre, 99 Commercial Rd, Melbourne, VIC, 3004, Australia.
Multiple sclerosis (MS) is a complex neurological disease influenced by genetics and environment. Genetic studies reveal numerous risk factors, particularly within the immune system, highlighting gene-environment interactions critical for disease development.
Area of Science:
- Neurology
- Immunology
- Genetics
Background:
- Multiple sclerosis (MS) is a chronic, immune-mediated central nervous system disorder.
- Its etiology involves complex interactions between genetic susceptibility, environmental factors, and immune processes.
- Recent genomic studies have significantly advanced understanding of MS pathogenesis.
Purpose of the Study:
- To synthesize current evidence on the genetic architecture of MS.
- To explore biological mechanisms linking genetic risk to disease susceptibility.
- To review gene-environment interactions and their impact on clinical outcomes, prognosis, and treatment response.
Main Methods:
- Review of large-scale genomic studies, including genome-wide association studies (GWAS).
- Analysis of family-based studies to identify rare susceptibility variants.
- Synthesis of evidence on gene-environment interactions (e.g., Epstein-Barr virus, vitamin D, obesity, smoking).
Main Results:
- MS risk is highly polygenic, driven by immune regulatory mechanisms.
- 233 common susceptibility variants identified, with strongest effects in the Major Histocompatibility Complex (MHC), particularly HLA-DRB1*15:01.
- Genetic risk alone is insufficient; gene-environment interactions are critical for disease manifestation.
Conclusions:
- Genetic factors and their interplay with environmental exposures significantly shape MS susceptibility and clinical outcomes.
- Further research, including ancestry-diverse studies and multi-omics integration, is needed.
- Translating genetic insights into clinical care remains a key future direction.
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