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Next generation systems analysis of pathogenetic mechanisms underlying CNS autoimmunity

中枢神经系统自身免疫发病机制的下一代系统分析

基本信息

批准号：
9768066
负责人：
Dimitry N Krementsov
金额：
$ 27.3万
依托单位：
UNIVERSITY OF VERMONT & ST AGRIC COLLEGE
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-06-25 至 2021-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9768066
关键词：
Address Alleles Animal Model Architecture Autoimmune Diseases Autoimmune Process Axon CNS autoimmunity Candidate Disease Gene Cells Central Nervous System Diseases Chromosomes Chronic Chronic Disease Clinical Complex Computational algorithm Congenic Strain Consomic Strain Data Data Set Demyelinations Deterioration Disease Disease Progression Etiology Exhibits Experimental Autoimmune Encephalomyelitis Experimental Genetics Female Genes Genetic Genetic Models Genetic Recombination Genetic Risk Genetic Structures Genetic Variation Genome Gliosis Heritability Heterogeneity Human Immune Incidence Individual Infiltration Inflammatory Mediating Modeling Molecular Multiple Sclerosis Mus Network-based Neuraxis Neurologic Neurologic Dysfunctions Pathogenesis Pathology Phenotype Population Predisposition Primary Progressive Multiple Sclerosis Publishing Relapse Relapsing-Remitting Multiple Sclerosis Resolution Risk Role SJL/J Mouse Severities Sex Differences Susceptibility Gene System Systems Analysis Technology Time Tissues Woman Work analytical tool axon injury causal variant chronic autoimmune disease cohort consomic design disability disorder risk experimental study forward genetics genetic analysis genetic approach genetic architecture genetic association genetic resource genetic variant genome wide association study genome-wide genomic data insight knockout gene male men mouse model next generation novel outcome forecast reverse genetics success tool young adult

项目摘要

Project Abstract/Summary 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.

项目摘要/总结