Multiple sclerosis (MS) is a chronic disease that is the leading cause of non-traumatic neurological disability in young adults. The disease is caused by an aberrant immune-mediated attack on the central nervous system, which causes tissue destruction and subsequent neurologic disability. Disease course varies greatly from individual to individual, from relapsing-remitting MS, to primary progressive MS. MS is three times more common in women, but tends to be more severe in men. MS has a significant heritable component, with up to 30% of the disease risk being genetically determined. While recent studies have identified candidate genes that are associated with MS risk, it remains unclear how these genes work and whether these are truly causative. Additionally, it is unclear why some individuals get different forms of this disease, and why there are differences between men and women. These types of questions are very difficult, if not impossible, to address in studies in humans. In this application, we propose to use a mouse model of MS to address this question. Mouse models offer powerful genetic tools, and allow for cause/effect mechanistic studies. We will use a novel mouse genetic model that is designed to better represent the complex genetic structure of human populations, which will allow us to dissect the complex genetic architecture underlying MS pathogenesis, and to identify specific genes responsible for various poorly understood aspects of this disease.

Public Health Relevance

Multiple sclerosis is a polygenic and multifactorial chronic autoimmune disease that is the leading cause of non-traumatic neurological disability in young adults. The genetic and molecular mechanisms underlying many aspects of this disease are not well understood. In this application, we propose to utilize a novel systems genetics approach in mice to identify pathogenetic mechanisms underlying progression of this disease.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Exploratory/Developmental Grants (R21)
Project #
1R21AI145306-01
Application #
9768066
Study Section
Special Emphasis Panel (ZAI1)
Program Officer
Esch, Thomas R
Project Start
2019-06-25
Project End
2021-05-31
Budget Start
2019-06-25
Budget End
2020-05-31
Support Year
1
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of Vermont & St Agric College
Department
Other Clinical Sciences
Type
Sch Allied Health Professions
DUNS #
066811191
City
Burlington
State
VT
Country
United States
Zip Code
05405