2024
Genetic mapping across autoimmune diseases reveals shared associations and mechanisms
Lincoln M, Connally N, Axisa P, Gasperi C, Mitrovic M, van Heel D, Wijmenga C, Withoff S, Jonkers I, Padyukov L, Rich S, Graham R, Gaffney P, Langefeld C, Vyse T, Hafler D, Chun S, Sunyaev S, Cotsapas C. Genetic mapping across autoimmune diseases reveals shared associations and mechanisms. Nature Genetics 2024, 56: 838-845. PMID: 38741015, DOI: 10.1038/s41588-024-01732-8.Peer-Reviewed Original ResearchConceptsGenetic mapResolution of genetic mappingExpression quantitative trait lociFine-mapping resolutionQuantitative trait lociGenomic lociTrait lociPolygenic disorderAllelesRisk allelesLociPathogenic mechanismsImmune systemAutoimmune mechanismsAutoimmune diseasesInflammatory diseasesTraitsMechanismDiseaseSample collectionExpression
2019
Latent autoimmunity across disease-specific boundaries in at-risk first-degree relatives of SLE and RA patients
James JA, Chen H, Young KA, Bemis EA, Seifert J, Bourn RL, Deane KD, Demoruelle MK, Feser M, O'Dell JR, Weisman MH, Keating RM, Gaffney PM, Kelly JA, Langefeld CD, Harley JB, Robinson W, Hafler DA, O'Connor KC, Buckner J, Guthridge JM, Norris JM, Holers VM. Latent autoimmunity across disease-specific boundaries in at-risk first-degree relatives of SLE and RA patients. EBioMedicine 2019, 42: 76-85. PMID: 30952617, PMCID: PMC6491794, DOI: 10.1016/j.ebiom.2019.03.063.Peer-Reviewed Original ResearchConceptsSystemic lupus erythematosusFirst-degree relativesGenetic risk scoreRA patientsRheumatoid arthritisSLE patientsT1D patientsAutoantibody-positive systemic lupus erythematosusRisk first-degree relativesOrgan-specific autoimmune diseasesType 1 diabetes patientsAutoimmune disease preventionAnti-tissue transglutaminaseDisease-associated autoantibodiesDisease prevention studiesUnaffected first-degree relativesCross-sectional studyLatent autoimmunityLupus erythematosusAutoimmune diseasesDiabetes patientsPrevention StudyRisk scoreAutoimmunityPreclinical period
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 variants
2014
Polarization of the Effects of Autoimmune and Neurodegenerative Risk Alleles in Leukocytes
Raj T, Rothamel K, Mostafavi S, Ye C, Lee MN, Replogle JM, Feng T, Lee M, Asinovski N, Frohlich I, Imboywa S, Von Korff A, Okada Y, Patsopoulos NA, Davis S, McCabe C, Paik HI, Srivastava GP, Raychaudhuri S, Hafler DA, Koller D, Regev A, Hacohen N, Mathis D, Benoist C, Stranger BE, De Jager PL. Polarization of the Effects of Autoimmune and Neurodegenerative Risk Alleles in Leukocytes. Science 2014, 344: 519-523. PMID: 24786080, PMCID: PMC4910825, DOI: 10.1126/science.1249547.Peer-Reviewed Original ResearchMeSH KeywordsAdaptive ImmunityAllelesAlzheimer DiseaseAutoimmune DiseasesAutoimmunityCD4-Positive T-LymphocytesEthnicityGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansImmunity, InnateMonocytesMultiple SclerosisNeurodegenerative DiseasesParkinson DiseasePolymorphism, Single NucleotideQuantitative Trait LociRheumatic FeverTranscriptomeConceptsSpecific immune cell typesHuman immune functionImmune cell typesMulti-ethnic cohortCell-autonomous effectsAutoimmune diseasesT cellsImmune functionParkinson's diseaseHealthy individualsInnate immunityRisk allelesDiseaseExpression quantitative trait loci (eQTL) studiesQuantitative trait loci studiesSusceptibility allelesPutative functional assignmentsCausal regulatory variantsDisease-associated lociDisease susceptibility variantsCell typesSusceptibility variantsTrans-eQTLsFunctional assignmentRegulatory variants
2013
Fine-Mapping the Genetic Association of the Major Histocompatibility Complex in Multiple Sclerosis: HLA and Non-HLA Effects
Patsopoulos NA, Barcellos LF, Hintzen RQ, Schaefer C, van Duijn CM, Noble JA, Raj T, , , Gourraud PA, Stranger BE, Oksenberg J, Olsson T, Taylor BV, Sawcer S, Hafler DA, Carrington M, De Jager PL, de Bakker PI. Fine-Mapping the Genetic Association of the Major Histocompatibility Complex in Multiple Sclerosis: HLA and Non-HLA Effects. PLOS Genetics 2013, 9: e1003926. PMID: 24278027, PMCID: PMC3836799, DOI: 10.1371/journal.pgen.1003926.Peer-Reviewed Original ResearchMeSH KeywordsAllelesChromosome MappingGenetic Predisposition to DiseaseGenome-Wide Association StudyHaplotypesHistocompatibility Antigens Class IHLA-DP beta-ChainsHLA-DRB1 ChainsHumansIntracellular Signaling Peptides and ProteinsLinkage DisequilibriumMajor Histocompatibility ComplexMembrane ProteinsMultiple SclerosisPolymorphism, Single NucleotideReceptors, Tumor Necrosis Factor, Type IConceptsHuman leukocyte antigenNon-HLA risk allelesRisk allelesClassical human leukocyte antigenClass IMultiple sclerosis susceptibilityHLA class IIndependent effectsMS susceptibility geneMajor histocompatibility complexMajor histocompatibility complex regionHLA effectMultiple sclerosisLeukocyte antigenHLA-DRB1MS susceptibilityMultiple risk allelesDPB1 allelesClass IIPeptide-binding grooveHistocompatibility complexPolymorphic amino acid positionsTNF geneClassical allelesSusceptibility genes
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 subjectsThe CD6 Multiple Sclerosis Susceptibility Allele Is Associated with Alterations in CD4+ T Cell Proliferation
Kofler DM, Severson CA, Mousissian N, De Jager PL, Hafler DA. The CD6 Multiple Sclerosis Susceptibility Allele Is Associated with Alterations in CD4+ T Cell Proliferation. The Journal Of Immunology 2011, 187: 3286-3291. PMID: 21849685, DOI: 10.4049/jimmunol.1100626.Peer-Reviewed Original ResearchMeSH KeywordsAllelesAntigens, CDAntigens, Differentiation, T-LymphocyteCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCell ProliferationCell SeparationCells, CulturedFemaleFlow CytometryGenetic Predisposition to DiseaseGenotypeHumansMaleMultiple SclerosisPhenotypeReverse Transcriptase Polymerase Chain ReactionRisk FactorsRNA, Small InterferingConceptsGenome-wide association studiesAssociation studiesAllelic variantsNew susceptibility lociSusceptibility allelesRisk allelesProliferation defectExon 5Risk-associated allelesSingle nucleotide polymorphismsExtracellular binding sitesCD6 geneSusceptibility lociLinkage disequilibriumMS risk alleleSelective knockdownT cell activationNucleotide polymorphismsAltered proliferationCell proliferationGenetic associationAllelesLong-term activationBinding sitesMS susceptibility alleles
2010
Functionally defective germline variants of sialic acid acetylesterase in autoimmunity
Surolia I, Pirnie SP, Chellappa V, Taylor KN, Cariappa A, Moya J, Liu H, Bell DW, Driscoll DR, Diederichs S, Haider K, Netravali I, Le S, Elia R, Dow E, Lee A, Freudenberg J, De Jager PL, Chretien Y, Varki A, MacDonald ME, Gillis T, Behrens TW, Bloch D, Collier D, Korzenik J, Podolsky DK, Hafler D, Murali M, Sands B, Stone JH, Gregersen PK, Pillai S. Functionally defective germline variants of sialic acid acetylesterase in autoimmunity. Nature 2010, 466: 243-247. PMID: 20555325, PMCID: PMC2900412, DOI: 10.1038/nature09115.Peer-Reviewed Original ResearchMeSH KeywordsAcetylationAcetylesteraseAllelesAnimalsAntibodies, AntinuclearArthritis, RheumatoidAutoimmune DiseasesAutoimmunityBiocatalysisB-LymphocytesCarboxylic Ester HydrolasesCase-Control StudiesCell LineDiabetes Mellitus, Type 1EuropeExonsGenetic Predisposition to DiseaseGerm-Line MutationHumansMiceN-Acetylneuraminic AcidOdds RatioPolymorphism, Single NucleotideSample SizeSequence Analysis, DNAGenome-wide Association Study in a High-Risk Isolate for Multiple Sclerosis Reveals Associated Variants in STAT3 Gene
Jakkula E, Leppä V, Sulonen AM, Varilo T, Kallio S, Kemppinen A, Purcell S, Koivisto K, Tienari P, Sumelahti ML, Elovaara I, Pirttilä T, Reunanen M, Aromaa A, Oturai AB, Søndergaard HB, Harbo HF, Mero IL, Gabriel SB, Mirel DB, Hauser SL, Kappos L, Polman C, De Jager PL, Hafler DA, Daly MJ, Palotie A, Saarela J, Peltonen L. Genome-wide Association Study in a High-Risk Isolate for Multiple Sclerosis Reveals Associated Variants in STAT3 Gene. American Journal Of Human Genetics 2010, 86: 285-291. PMID: 20159113, PMCID: PMC2820168, DOI: 10.1016/j.ajhg.2010.01.017.Peer-Reviewed Original ResearchConceptsSTAT3 geneGenome-wide association studiesRare risk allelesComplex traitsRisk lociRisk allelesAssociated variantsAssociation studiesRecent GWASInternal isolateLociCommon variantsGenetic riskGenesAllelesCritical roleSTAT3Small odds ratiosHeterogeneous populationVariantsGWASIsolatesProtective haplotypeTraitsSNPs
2009
Integration of genetic risk factors into a clinical algorithm for multiple sclerosis susceptibility: a weighted genetic risk score
De Jager PL, Chibnik LB, Cui J, Reischl J, Lehr S, Simon KC, Aubin C, Bauer D, Heubach JF, Sandbrink R, Tyblova M, Lelkova P, the steering committees of the BENEFIT B, Havrdova E, Pohl C, Horakova D, Ascherio A, Hafler D, Karlson E. Integration of genetic risk factors into a clinical algorithm for multiple sclerosis susceptibility: a weighted genetic risk score. The Lancet Neurology 2009, 8: 1111-1119. PMID: 19879194, PMCID: PMC3099419, DOI: 10.1016/s1474-4422(09)70275-3.Peer-Reviewed Original ResearchConceptsWeighted genetic risk scoreEpstein-Barr virusHealth Study IMultiple sclerosisC-statisticRisk factorsGenetic risk scoreImmune responseRisk scoreNurses' Health Study IDiagnosis of MSNon-genetic risk factorsHigh-risk individualsMultiple sclerosis susceptibilityEnvironmental risk factorsGenetic risk factorsNHS cohortDerivation cohortTherapeutic trialsMS riskProspective studyClinical algorithmImportant clinical applicationsHigher oddsSusceptibility lociAutoimmunity risk alleles in costimulation pathways
Maier LM, Hafler DA. Autoimmunity risk alleles in costimulation pathways. Immunological Reviews 2009, 229: 322-336. PMID: 19426231, DOI: 10.1111/j.1600-065x.2009.00777.x.Peer-Reviewed Original ResearchConceptsTumor necrosis factorGenome-wide association scansHuman autoimmune diseasesAutoimmune diseasesCommon human autoimmune diseasesInducible T-cell costimulator ligandGenetic study designsAssociation scanImmune related genesRelated genesCytotoxic T-lymphocyte antigen-4T-lymphocyte antigen-4Common autoimmune diseaseCell death 1Allelic variantsMember 15Environmental risk factorsDrug designCostimulatory mechanismsMember 4PathwayGenesCostimulation pathwayDeath-1Common pathwayThe role of the CD58 locus in multiple sclerosis
De Jager PL, Baecher-Allan C, Maier LM, Arthur AT, Ottoboni L, Barcellos L, McCauley JL, Sawcer S, Goris A, Saarela J, Yelensky R, Price A, Leppa V, Patterson N, de Bakker PI, Tran D, Aubin C, Pobywajlo S, Rossin E, Hu X, Ashley CW, Choy E, Rioux JD, Pericak-Vance MA, Ivinson A, Booth DR, Stewart GJ, Palotie A, Peltonen L, Dubois B, Haines JL, Weiner HL, Compston A, Hauser SL, Daly MJ, Reich D, Oksenberg JR, Hafler DA. The role of the CD58 locus in multiple sclerosis. Proceedings Of The National Academy Of Sciences Of The United States Of America 2009, 106: 5264-5269. PMID: 19237575, PMCID: PMC2664005, DOI: 10.1073/pnas.0813310106.Peer-Reviewed Original ResearchConceptsMultiple sclerosisMS subjectsMononuclear cellsCD58 expressionProtective effectMRNA expressionPeripheral blood mononuclear cellsRegulatory T cellsBlood mononuclear cellsTranscription factor Foxp3Dose-dependent increaseCentral nervous systemLymphoblastic cell linesClinical remissionAxonal lossControl subjectsInflammatory diseasesFactor Foxp3T cellsWhole-genome association scansLFA-3Nervous systemProtective allelesPotential mechanismsSclerosisReplication analysis identifies TYK2 as a multiple sclerosis susceptibility factor
Ban M, Goris A, Lorentzen Å, Baker A, Mihalova T, Ingram G, Booth DR, Heard RN, Stewart GJ, Bogaert E, Dubois B, Harbo HF, Celius EG, Spurkland A, Strange R, Hawkins C, Robertson NP, Dudbridge F, Wason J, De Jager PL, Hafler D, Rioux JD, Ivinson AJ, McCauley JL, Pericak-Vance M, Oksenberg JR, Hauser SL, Sexton D, Haines J, Sawcer S. Replication analysis identifies TYK2 as a multiple sclerosis susceptibility factor. European Journal Of Human Genetics 2009, 17: 1309-1313. PMID: 19293837, PMCID: PMC2782567, DOI: 10.1038/ejhg.2009.41.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesNon-synonymous single nucleotide polymorphismsRecent genome-wide association studiesLevel of phosphorylationAmino acid substitutionsTyrosine kinase 2 geneKinase 2 geneSingle-nucleotide polymorphism resultsSingle nucleotide polymorphismsKinase domainMultiple sclerosis susceptibility genesAssociation studiesAcid substitutionsFunctional roleSusceptibility genesNucleotide polymorphismsPolymorphism resultsTrio familiesReplication analysisGenesLociTYK2Susceptibility factorsPhosphorylationMultiple sclerosisIL2RA Genetic Heterogeneity in Multiple Sclerosis and Type 1 Diabetes Susceptibility and Soluble Interleukin-2 Receptor Production
Maier LM, Lowe CE, Cooper J, Downes K, Anderson DE, Severson C, Clark PM, Healy B, Walker N, Aubin C, Oksenberg JR, Hauser SL, Compston A, Sawcer S, , De Jager PL, Wicker LS, Todd JA, Hafler DA. IL2RA Genetic Heterogeneity in Multiple Sclerosis and Type 1 Diabetes Susceptibility and Soluble Interleukin-2 Receptor Production. PLOS Genetics 2009, 5: e1000322. PMID: 19119414, PMCID: PMC2602853, DOI: 10.1371/journal.pgen.1000322.Peer-Reviewed Original ResearchConceptsMultiple sclerosisT1D subjectsSoluble interleukin-2 receptor productionSoluble interleukin-2 receptorOrgan-specific autoimmune disordersHealthy control subjectsInterleukin-2 receptorType 1 diabetesHuman leukocyte antigen (HLA) complexMS risk genesAutoimmune disordersControl subjectsAutoimmunity riskHealthy controlsIL2RA regionType 1Autoimmune lociRisk allelesReceptor productionCandidate gene association studiesAntigen complexGene association studiesAssociation studiesT1D.Sclerosis
2007
Allelic variant in CTLA4 alters T cell phosphorylation patterns
Maier LM, Anderson DE, De Jager PL, Wicker LS, Hafler DA. Allelic variant in CTLA4 alters T cell phosphorylation patterns. Proceedings Of The National Academy Of Sciences Of The United States Of America 2007, 104: 18607-18612. PMID: 18000051, PMCID: PMC2141824, DOI: 10.1073/pnas.0706409104.Peer-Reviewed Original ResearchConceptsT cell antigen receptorAllelic variationMemory T cellsAutoimmune diseasesCell antigen receptorT cell signalingT cellsFunctional effectsDisease susceptibility allelesCell signalingPhosphorylation patternPhosphorylation levelsSusceptibility variantsTCR stimulationAllelic variantsHuman immune cellsAntigen receptorGenesImmune cellsHealthy individualsCTLA4 geneCellsSpecific mAbsCTLA4DiseaseTwo independent alleles at 6q23 associated with risk of rheumatoid arthritis
Plenge RM, Cotsapas C, Davies L, Price AL, de Bakker PI, Maller J, Pe'er I, Burtt NP, Blumenstiel B, DeFelice M, Parkin M, Barry R, Winslow W, Healy C, Graham RR, Neale BM, Izmailova E, Roubenoff R, Parker AN, Glass R, Karlson EW, Maher N, Hafler DA, Lee DM, Seldin MF, Remmers EF, Lee AT, Padyukov L, Alfredsson L, Coblyn J, Weinblatt ME, Gabriel SB, Purcell S, Klareskog L, Gregersen PK, Shadick NA, Daly MJ, Altshuler D. Two independent alleles at 6q23 associated with risk of rheumatoid arthritis. Nature Genetics 2007, 39: 1477-1482. PMID: 17982456, PMCID: PMC2652744, DOI: 10.1038/ng.2007.27.Peer-Reviewed Original ResearchRisk Alleles for Multiple Sclerosis Identified by a Genomewide Study
Hafler D, Compston A, Sawcer S, Lander E, Daly M, De Jager P, de Bakker P, Gabriel S, Mirel D, Ivinson A, Pericak-Vance M, Gregory S, Rioux J, McCauley J, Haines J, Barcellos L, Cree B, Oksenberg J, Hauser S. Risk Alleles for Multiple Sclerosis Identified by a Genomewide Study. New England Journal Of Medicine 2007, 357: 851-862. PMID: 17660530, DOI: 10.1056/nejmoa073493.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAllelesFemaleGenetic Predisposition to DiseaseGenome, HumanHLA-DR alpha-ChainsHLA-DR AntigensHumansInterleukin-2 Receptor alpha SubunitInterleukin-7 Receptor alpha SubunitLinkage DisequilibriumMaleMiddle AgedMultiple SclerosisMutationOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideRisk FactorsConceptsMultiple sclerosisReceptor alpha geneSingle nucleotide polymorphismsControl subjectsCase subjectsInterleukin-7 receptor alpha geneHeritable risk factorsAlpha geneRisk factorsFamily triosSclerosisRisk allelesHLA lociHLA-DRA locusTransmission disequilibrium testStringent P valueP-valueEffect sizeSignificant heritable componentInterleukin-2 receptor alpha geneNonsynonymous single nucleotide polymorphismsGenomewide association studiesMultiple single nucleotide polymorphismsSubjectsAssociation
2005
Evaluating the role of the 620W allele of protein tyrosine phosphatase PTPN22 in Crohn's disease and multiple sclerosis
De Jager PL, Sawcer S, Waliszewska A, Farwell L, Wild G, Cohen A, Langelier D, Bitton A, Compston A, Hafler DA, Rioux JD. Evaluating the role of the 620W allele of protein tyrosine phosphatase PTPN22 in Crohn's disease and multiple sclerosis. European Journal Of Human Genetics 2005, 14: 317-321. PMID: 16391555, DOI: 10.1038/sj.ejhg.5201548.Peer-Reviewed Original ResearchMeSH KeywordsAllelesCanadaCase-Control StudiesCrohn DiseaseGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansInflammationModels, StatisticalMultiple SclerosisOdds RatioPolymorphism, GeneticProtein Tyrosine Phosphatase, Non-Receptor Type 1Protein Tyrosine Phosphatase, Non-Receptor Type 22Protein Tyrosine PhosphatasesRiskUnited KingdomConceptsSystemic lupus erythematosusCases of CDCrohn's diseaseMultiple sclerosisPTPN22 620W alleleAutoimmune thyroiditisRheumatoid arthritisInflammatory diseasesEvidence of associationCases of MSProtein tyrosine phosphatase PTPN22Chronic inflammatory diseaseType 1 diabetesTyrosine phosphatase PTPN22PTPN22 alleleLupus erythematosusPooled analysisControl subjectsModest odds ratiosOdds ratioDiseaseRisk allelesPhosphatase PTPN22SclerosisPossible roleExpanded T cells from pancreatic lymph nodes of type 1 diabetic subjects recognize an insulin epitope
Kent SC, Chen Y, Bregoli L, Clemmings SM, Kenyon NS, Ricordi C, Hering BJ, Hafler DA. Expanded T cells from pancreatic lymph nodes of type 1 diabetic subjects recognize an insulin epitope. Nature 2005, 435: 224-228. PMID: 15889096, DOI: 10.1038/nature03625.Peer-Reviewed Original ResearchConceptsWhite blood cellsAutoimmune diabetesLymph nodesType 1 diabetic subjectsPancreatic lymph nodesAntigen-specific therapyExpanded T cellsIslet cell transplantationType 1 diabetesPossible clinical relevanceStandard animal modelPrimary autoantigenNOD miceDiabetic subjectsImmune therapyMultiple sclerosisChildhood diabetesInsulin-producing cellsSpecific therapyImmune cellsT cellsT lymphocytesInsulin epitopesAnimal modelsClinical relevance