2018
Low-Frequency and Rare-Coding Variation Contributes to Multiple Sclerosis Risk
Consortium I, Mitrovič M, Patsopoulos N, Beecham A, Dankowski T, Goris A, Dubois B, D’hooghe M, Lemmens R, Van Damme P, Søndergaard H, Sellebjerg F, Sorensen P, Ullum H, Thørner L, Werge T, Saarela J, Cournu-Rebeix I, Damotte V, Fontaine B, Guillot-Noel L, Lathrop M, Vukusik S, Gourraud P, Andlauer T, Pongratz V, Buck D, Gasperi C, Bayas A, Heesen C, Kümpfel T, Linker R, Paul F, Stangel M, Tackenberg B, Bergh F, Warnke C, Wiendl H, Wildemann B, Zettl U, Ziemann U, Tumani H, Gold R, Grummel V, Hemmer B, Knier B, Lill C, Luessi F, Dardiotis E, Agliardi C, Barizzone N, Mascia E, Bernardinelli L, Comi G, Cusi D, Esposito F, Ferrè L, Comi C, Galimberti D, Leone M, Sorosina M, Mescheriakova J, Hintzen R, van Duijn C, Theunissen C, Bos S, Myhr K, Celius E, Lie B, Spurkland A, Comabella M, Montalban X, Alfredsson L, Stridh P, Hillert J, Jagodic M, Piehl F, Jelčić I, Martin R, Sospedra M, Ban M, Hawkins C, Hysi P, Kalra S, Karpe F, Khadake J, Lachance G, Neville M, Santaniello A, Caillier S, Calabresi P, Cree B, Cross A, Davis M, Haines J, de Bakker P, Delgado S, Dembele M, Edwards K, Fitzgerald K, Hakonarson H, Konidari I, Lathi E, Manrique C, Pericak-Vance M, Piccio L, Schaefer C, McCabe C, Weiner H, Goldstein J, Olsson T, Hadjigeorgiou G, Taylor B, Tajouri L, Charlesworth J, Booth D, Harbo H, Ivinson A, Hauser S, Compston A, Stewart G, Zipp F, Barcellos L, Baranzini S, Martinelli-Boneschi F, D’Alfonso S, Ziegler A, Oturai A, McCauley J, Sawcer S, Oksenberg J, De Jager P, Kockum I, Hafler D, Cotsapas C. Low-Frequency and Rare-Coding Variation Contributes to Multiple Sclerosis Risk. Cell 2018, 175: 1679-1687.e7. PMID: 30343897, PMCID: PMC6269166, DOI: 10.1016/j.cell.2018.09.049.Peer-Reviewed Original ResearchConceptsRare coding variationsGenome-wide association studiesNon-coding variationCommon variant signalsSubstantial linkage disequilibriumLow-frequency variantsNovel genesCell homeostasisAssociation studiesComplex neurological diseasesLinkage disequilibriumGenetic variantsCommon variantsHeritabilityRich resourceGenesVariantsKey pathogenic roleIndividual familiesEpistasisAdditive effectBiologyHomeostasisMutationsNeurological diseasesChapter 46 Multiple sclerosis
Cotsapas C, Mitrovic M, Hafler D. Chapter 46 Multiple sclerosis. Handbook Of Clinical Neurology 2018, 148: 723-730. PMID: 29478610, DOI: 10.1016/b978-0-444-64076-5.00046-6.Peer-Reviewed Original ResearchConceptsMultiple sclerosisCentral nervous system white matterNervous system white matterAutoimmune neurologic disordersDisease-modifying therapiesImmune function modulationSpecific immune subsetsCentral nervous systemGenetic variantsImmune subsetsNeurologic symptomsAutoimmune attackLeading causeNeurologic disordersNervous systemWhite matterCommon genetic variantsOverall riskSclerosisYoung adultsEnvironmental exposuresRiskSymptomsDiseasePatients
2015
Genetic variants associated with autoimmunity drive NFκB signaling and responses to inflammatory stimuli
Housley WJ, Fernandez SD, Vera K, Murikinati SR, Grutzendler J, Cuerdon N, Glick L, De Jager PL, Mitrovic M, Cotsapas C, Hafler DA. Genetic variants associated with autoimmunity drive NFκB signaling and responses to inflammatory stimuli. Science Translational Medicine 2015, 7: 291ra93. PMID: 26062845, PMCID: PMC4574294, DOI: 10.1126/scitranslmed.aaa9223.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAllelesAutoimmunityCase-Control StudiesCD4-Positive T-LymphocytesCell NucleusCytokinesFemaleGenetic Predisposition to DiseaseHumansInflammationMaleMiddle AgedMultiple SclerosisNF-kappa BPolymorphism, Single NucleotideProtein TransportReceptors, Tumor Necrosis Factor, Type IRisk FactorsSex CharacteristicsSignal TransductionTime FactorsTumor Necrosis Factor-alphaConceptsB-cell leukemia 3Multiple sclerosisNegative regulatorInflammatory stimuliGenetic variantsWide association studyDisease susceptibility variantsNaïve CD4 T cellsRapid genetic screeningCD4 T cellsActivation of p65Transcription factor nuclear factor κBExpression of NFκBNuclear factor κBApoptosis 1Cellular inhibitorGG risk genotypeDegradation of inhibitorCentral regulatorAssociation studiesCytokine blockadeUlcerative colitisAutoimmune diseasesTumor necrosisSusceptibility variantsMultiple sclerosis—a quiet revolution
Ransohoff RM, Hafler DA, Lucchinetti CF. Multiple sclerosis—a quiet revolution. Nature Reviews Neurology 2015, 11: 134-142. PMID: 25686758, PMCID: PMC4556342, DOI: 10.1038/nrneurol.2015.14.Peer-Reviewed Original ResearchConceptsTreatment optionsMajor unmet medical needMultiple sclerosis susceptibilityUnmet medical needNeural tissue injuryGenetic variantsMS therapeuticsAcetate therapyMS riskInflammatory aspectsMultiple sclerosisAutoimmune diseasesTreatable diseaseTissue injuryIndividual patientsDisease evolutionClinical phenotypeMedical needPatientsDisease susceptibilityDiseaseGenetic componentSclerosisIFNOptions
2014
Common Genetic Variants Modulate Pathogen-Sensing Responses in Human Dendritic Cells
Lee MN, Ye C, Villani AC, Raj T, Li W, Eisenhaure TM, Imboywa SH, Chipendo PI, Ran FA, Slowikowski K, Ward LD, Raddassi K, McCabe C, Lee MH, Frohlich IY, Hafler DA, Kellis M, Raychaudhuri S, Zhang F, Stranger BE, Benoist CO, De Jager PL, Regev A, Hacohen N. Common Genetic Variants Modulate Pathogen-Sensing Responses in Human Dendritic Cells. Science 2014, 343: 1246980. PMID: 24604203, PMCID: PMC4124741, DOI: 10.1126/science.1246980.Peer-Reviewed Original ResearchMeSH KeywordsAdultAutoimmune DiseasesCommunicable DiseasesDendritic CellsEscherichia coliFemaleGene-Environment InteractionGenetic LociGenome-Wide Association StudyHEK293 CellsHost-Pathogen InteractionsHumansInfluenza A virusInterferon Regulatory Factor-7Interferon-betaLipopolysaccharidesMaleMiddle AgedPolymorphism, Single NucleotideQuantitative Trait LociSTAT Transcription FactorsTranscriptomeYoung AdultConceptsGenetic variationPathogen-responsive genesHuman genetic variationGenetic variantsIRF transcription factorsCommon genetic variantsType I IFN inductionFunctional annotationExpression responsesTranscription factorsI IFN inductionCausal variantsPathogen sensingEnvironmental stimuliComplex diseasesCommon variantsCommon allelesIFN inductionComputational approachVariantsCellsInductionGenesInterindividual variationSTAT
2012
Multiple sclerosis
Nylander A, Hafler DA. Multiple sclerosis. Journal Of Clinical Investigation 2012, 122: 1180-1188. PMID: 22466660, PMCID: PMC3314452, DOI: 10.1172/jci58649.Peer-Reviewed Original ResearchMeSH KeywordsAllelesAutoantigensAutoimmune DiseasesB-Lymphocyte SubsetsCostimulatory and Inhibitory T-Cell ReceptorsCytokinesForecastingForkhead Transcription FactorsGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLymphocyte ActivationMeningesModels, ImmunologicalMultiple SclerosisT-Lymphocyte SubsetsT-Lymphocytes, RegulatoryConceptsMultiple sclerosisImmunopathology of MSMultifocal demyelinating diseasePersistence of antigenMS prognosisDemyelinating diseaseOligoclonal expansionAutoimmune responseLymphoid folliclesHumoral responseT cellsTreatment decisionsInfectious agentsSusceptible individualsProgressive neurodegenerationCommon genetic variantsPathway disruptionPresent recent dataSclerosisRecent dataDisease susceptibilityAntigenGenetic variantsImmunopathologyPrognosis
2011
Genome-Wide Assessment for Genetic Variants Associated with Ventricular Dysfunction after Primary Coronary Artery Bypass Graft Surgery
Fox AA, Pretorius M, Liu KY, Collard CD, Perry TE, Shernan SK, De Jager PL, Hafler DA, Herman DS, DePalma SR, Roden DM, Muehlschlegel JD, Donahue BS, Darbar D, Seidman JG, Body SC, Seidman CE. Genome-Wide Assessment for Genetic Variants Associated with Ventricular Dysfunction after Primary Coronary Artery Bypass Graft Surgery. PLOS ONE 2011, 6: e24593. PMID: 21980348, PMCID: PMC3184087, DOI: 10.1371/journal.pone.0024593.Peer-Reviewed Original ResearchConceptsCABG surgeryPostoperative ventricular dysfunctionVentricular dysfunctionSingle nucleotide polymorphismsPrimary coronary artery bypass graft surgeryCoronary artery bypass graft surgeryArtery bypass graft surgeryPrimary CABG surgeryBypass graft surgeryClinical risk factorsMechanical ventricular supportPatient risk stratificationGenetic variantsCABG cohortGraft surgeryPostoperative morbiditySurgical patientsCardiopulmonary bypassRisk stratificationVentricular supportRisk factorsLarge cohortPrevention strategiesSurgeryMale subjects
2008
F.33. Genetic Variants that Control the Expression of MHC Genes Do Not Affect Susceptibility to Multiple Sclerosis
Ottoboni L, Young E, Yelensky R, Hafler D, Daly M, De Jager P. F.33. Genetic Variants that Control the Expression of MHC Genes Do Not Affect Susceptibility to Multiple Sclerosis. Clinical Immunology 2008, 127: s53-s54. DOI: 10.1016/j.clim.2008.03.145.Peer-Reviewed Original ResearchMHC genesGenetic variants
2007
A Genome-wide Screen for Genetic Variants Affecting the Expression of Immunologically Relevant Cell Surface Markers
De Jager P, Yelensky R, Rossin E, Bonadkar S, Choy E, Daly M, Altshuler D, Hafler D. A Genome-wide Screen for Genetic Variants Affecting the Expression of Immunologically Relevant Cell Surface Markers. Clinical Immunology 2007, 123: s153. DOI: 10.1016/j.clim.2007.03.076.Peer-Reviewed Original Research
2003
Genetic analysis of multiple sclerosis
Walsh EC, Guschwan-McMahon S, Daly MJ, Hafler DA, Rioux JD. Genetic analysis of multiple sclerosis. Journal Of Autoimmunity 2003, 21: 111-116. PMID: 12935779, DOI: 10.1016/s0896-8411(03)00094-5.Peer-Reviewed Original ResearchConceptsComplementary genetic approachesComplex diseasesHuman genomeGenetic variationGenetic approachesSuch lociGenetic analysisSignificant genetic contributionGenetic variantsGenetic contributionAdditional statistical powerRecent important advancesGenetic causeModest effectLociMeta-analytical approachCTLA-4 variantsGenomeGenetic riskVariantsImportant advancesStatistical powerFuture studiesMS resultsAdvances