Multiple Sclerosis (MS) is a debilitating neuroimmunological and neurodegenerative disorder affecting over 400,000 individuals in the United States. Myelin loss, gliosis, and varying degrees of axonal pathology culminate in progressive neurological dysfunction including sensory loss, weakness, visual loss, vertigo, incoordination, sphincter disturbances, and altered cognition. The evidence for a genetic influence in MS is overwhelming but the etiology springs not from a single major gene, but from multiple genes acting either independently or interactively. This complexity has made the search for the responsible genetic variations difficult. A candidate gene approach identified allelic association with the HLA-DR2 allele but no other allelic associations have been confirmed. In the current funding cycle we completed a second-generation genomic screen and initial follow-up has identified one strong chromosomal linkage signal congruent with other studies. We also generated exciting data suggesting that the expression of clinical symptoms of MS is influenced by genomic variation(s) in or near APOE on chromosome 19q13. With the explosion of data from the human genome project, new methods of laboratory and statistical genetic analysis, and substantial expansion of our MS dataset, we can now take new approaches toward dissecting the complex genetics of MS. To achieve these goals, we propose five specific aims (1): To examine in detail chromosome 1q42 to identify the underlying MS risk gone; (2): To analyze SNPs in and near APOE for allelic associations to MS disease expression; (3): To test for association between MS and genes involved in oxidative stress; (4): To examine genes identified through expression analysis in MS tissues and acting in critical pathways; and (5): To test for gene-gene interactions. All analyses will take into account the known association with the HLA-DR2 allele seen in both our Caucasian and African-American datasets. We will genotype over 200 multiplex families, 1,500 Caucasian US singleton families, 1,000 Caucasian UK singleton families, 1,000 controls, and 1,000 African-American singleton families.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
2R01NS032830-10A1
Application #
6829644
Study Section
Special Emphasis Panel (ZRG1-HOP-J (03))
Program Officer
Utz, Ursula
Project Start
1995-08-01
Project End
2008-06-30
Budget Start
2004-07-15
Budget End
2005-06-30
Support Year
10
Fiscal Year
2004
Total Cost
$840,557
Indirect Cost
Name
Vanderbilt University Medical Center
Department
Physiology
Type
Schools of Medicine
DUNS #
004413456
City
Nashville
State
TN
Country
United States
Zip Code
37212
Mosley, Jonathan D; Feng, QiPing; Wells, Quinn S et al. (2018) A study paradigm integrating prospective epidemiologic cohorts and electronic health records to identify disease biomarkers. Nat Commun 9:3522
Gamazon, Eric R; Segrè, Ayellet V; van de Bunt, Martijn et al. (2018) Using an atlas of gene regulation across 44 human tissues to inform complex disease- and trait-associated variation. Nat Genet 50:956-967
Moutsianas, Loukas; Jostins, Luke; Beecham, Ashley H et al. (2015) Class II HLA interactions modulate genetic risk for multiple sclerosis. Nat Genet 47:1107-1113
Davis, Mary F; Haines, Jonathan L (2015) The intelligent use and clinical benefits of electronic medical records in multiple sclerosis. Expert Rev Clin Immunol 11:205-11
Bailey, Jessica N Cooke; Pericak-Vance, Margaret A; Haines, Jonathan L (2014) The impact of the human genome project on complex disease. Genes (Basel) 5:518-35
Bush, William S; Haines, Jonathan L (2014) Genotype Correlation Analysis Reveals Pathway-Based Functional Disequilibrium and Potential Epistasis in the Human Interactome. Appl Evol Comput (2014) 8602:890-901
International Multiple Sclerosis Genetics Consortium (IMSGC); Beecham, Ashley H; Patsopoulos, Nikolaos A et al. (2013) Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis. Nat Genet 45:1353-60
Zuvich, Rebecca L; Bush, William S; McCauley, Jacob L et al. (2011) Interrogating the complex role of chromosome 16p13.13 in multiple sclerosis susceptibility: independent genetic signals in the CIITA-CLEC16A-SOCS1 gene complex. Hum Mol Genet 20:3517-24
Yaspan, Brian L; Bush, William S; Torstenson, Eric S et al. (2011) Genetic analysis of biological pathway data through genomic randomization. Hum Genet 129:563-71
International Multiple Sclerosis Genetics Consortium (2011) Genome-wide association study of severity in multiple sclerosis. Genes Immun 12:615-25

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