Multiple sclerosis (MS) is a complex and heterogeneous inflammatory disorder of the central nervous system (CNS) characterized by myelin loss, gliosis, varying degrees of axonal pathology, and progressive neurological dysfunction. MS is the most common cause of acquired neurological disability in the U.S. and European countries arising during early and mid-adulthood, and it affects more than one million people worldwide. The goal of this proposal is to identify genetic and non-genetic factors that predispose to MS and modulate phenotypic expression and/or progression. We describe for the first time in MS, a powerful approach to pursue strong and well-defined hypotheses critical to furthering our understanding of disease pathogenesis. We will investigate and refine the role of several promising candidate genes, the exposure to cigarette smoke and potential gene-environment interactions, and factors related to female reproductive history in MS susceptibility and disease modulation using a large, well characterized population-based case-control data set comprised of 3000 individuals. We will use well established strict ascertainment criteria and a suite of sophisticated tools including electronic database surveying, direct physician contact, chart review and comprehensive interviews to determine definite MS diagnoses and important phenotypic designations for this study. State of the art high-throughput genotyping methodologies and novel and comprehensive analytical approaches will be utilized. The complete elucidation of genetic and nongenetic influences underlying disease risk and heterogeneous MS phenotypes would clearly play a major role in understanding disease biology and would contribute significantly to disease prevention and the development of targeted and more effective therapeutics. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
1R01NS049510-01A1
Application #
6927527
Study Section
Epidemiology of Clinical Disorders and Aging Study Section (ECDA)
Program Officer
Utz, Ursula
Project Start
2005-04-01
Project End
2010-03-31
Budget Start
2005-04-01
Budget End
2006-03-31
Support Year
1
Fiscal Year
2005
Total Cost
$535,724
Indirect Cost
Name
University of California Berkeley
Department
Public Health & Prev Medicine
Type
Schools of Public Health
DUNS #
124726725
City
Berkeley
State
CA
Country
United States
Zip Code
94704
Barcellos, Lisa F; Bellesis, Kalliope H; Shen, Ling et al. (2018) Remote assessment of verbal memory in MS patients using the California Verbal Learning Test. Mult Scler 24:354-357
Gianfrancesco, Milena A; Stridh, Pernilla; Shao, Xiaorong et al. (2017) Genetic risk factors for pediatric-onset multiple sclerosis. Mult Scler :1352458517733551
Gianfrancesco, Milena A; Glymour, M Maria; Walter, Stefan et al. (2017) Causal Effect of Genetic Variants Associated With Body Mass Index on Multiple Sclerosis Susceptibility. Am J Epidemiol 185:162-171
Graves, Jennifer S; Barcellos, Lisa F; Shao, Xiaorong et al. (2016) Genetic predictors of relapse rate in pediatric MS. Mult Scler 22:1528-1535
George, Michaela F; Holingue, Calliope B; Briggs, Farren B S et al. (2016) Feasibility study for remote assessment of cognitive function in multiple sclerosis. J Neurol Neuromedicine 1:10-18
Gianfrancesco, Milena A; Barcellos, Lisa F (2016) Obesity and Multiple Sclerosis Susceptibility: A Review. J Neurol Neuromedicine 1:1-5
Briggs, Farren B S; Acuna, Brigid; Shen, Ling et al. (2014) Smoking and risk of multiple sclerosis: evidence of modification by NAT1 variants. Epidemiology 25:605-14
Pittock, Sean J; Lennon, Vanda A; Bakshi, Nandini et al. (2014) Seroprevalence of aquaporin-4-IgG in a northern California population representative cohort of multiple sclerosis. JAMA Neurol 71:1433-6
Hedström, Anna Karin; Lima Bomfim, Izaura; Barcellos, Lisa et al. (2014) Interaction between adolescent obesity and HLA risk genes in the etiology of multiple sclerosis. Neurology 82:865-72
Briggs, Farren B S; Acuña, Brigid S; Shen, Ling et al. (2014) Adverse socioeconomic position during the life course is associated with multiple sclerosis. J Epidemiol Community Health 68:622-9

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