Multiple sclerosis (MS) is a disease in which genetic, environmental, and stochastic factors interact to trigger an inflammatory disease of the CNS that also has a neurodegenerative component. Over the past 3 years, progress in high-throughput technologies and analysis methods has synergized with the collaborative efforts of investigators studyingMS genetics to enable the discovery ofmore than a dozen genes involved in making individuals susceptible toMS. These genes are beginning to suggest molecular pathways that may be particularly vulnerable to genetic variation in MS. Soon, a comprehensivemap of common genetic variants affectingMSsusceptibilitywill be assembled, and communal efforts will need to focus on the more challenging issue of understanding the genetic architecture of disease course and treatment response in MS. Early efforts integrating different dimensions of information, including genomics, imaging, transcriptomics, and proteomics, with precise phenotypic data from clinicians illustrate the way forward for prognostic algorithms in MS and suggest that these approaches will yield a new series of insights in the next decade.
|Number of pages||19|
|Journal||CONTINUUM Lifelong Learning in Neurology|
|Publication status||Published - Oct 2010|
ASJC Scopus subject areas
- Clinical Neurology