Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS032830-02
Application #
2271288
Study Section
Epidemiology and Disease Control Subcommittee 2 (EDC)
Project Start
1995-08-01
Project End
1997-06-30
Budget Start
1996-06-01
Budget End
1997-06-30
Support Year
2
Fiscal Year
1996
Total Cost
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
City
Boston
State
MA
Country
United States
Zip Code
02199
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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