Modeling the cumulative genetic risk for multiple sclerosis from genome-wide association data
Wang JH, Pappas D, De Jager PL, Pelletier D, de Bakker PI, Kappos L, Polman CH, Australian and New Zealand Multiple Sclerosis Genetics Consortium (ANZgene), Chibnik LB, Hafler DA, Matthews PM, Hauser SL, Baranzini SE, Oksenberg JR. Modeling the cumulative genetic risk for multiple sclerosis from genome-wide association data. Genome Medicine 2011, 3: 3. PMID: 21244703, PMCID: PMC3092088, DOI: 10.1186/gm217.Peer-Reviewed Original ResearchGenome-wide association studiesGenome-wide association dataDAVID functional annotation toolMS geneticsAssociation dataFunctional annotation toolAvailable genome-wide association dataRecent genome-wide association studiesPathway enrichment analysisNovel genetic associationsNervous system developmentPolygenic modelCumulative genetic riskGene OntologyGWAS datasetsEnrichment analysisGenetic riskAssociation studiesDisease locusCell adhesionSignificant enrichmentNeuronal signalingAnalysis of covarianceIonotropic glutamate receptorsGenetic association