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
2011
A knowledge-driven interaction analysis reveals potential neurodegenerative mechanism of multiple sclerosis susceptibility
Bush WS, McCauley JL, DeJager PL, Dudek SM, Hafler DA, Gibson RA, Matthews PM, Kappos L, Naegelin Y, Polman CH, Hauser SL, Oksenberg J, Haines JL, Ritchie MD. A knowledge-driven interaction analysis reveals potential neurodegenerative mechanism of multiple sclerosis susceptibility. Genes & Immunity 2011, 12: 335-340. PMID: 21346779, PMCID: PMC3136581, DOI: 10.1038/gene.2011.3.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesGene-gene interactionsCytoskeleton regulatory proteinsCytoskeletal regulationGenetic architectureGene clusterInteraction analysisSingle-locus analysisGWAS dataRegulatory proteinsBiological contextRelated genesAssociation studiesSusceptibility lociWeak main effectsPhospholipase CGenetic effectsΒ isoformsComplex diseasesBiological mechanismsNeurodegenerative mechanismsNew genetic effectsEpistasisACTN1Genes
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 DiseasesAutoimmunityB-LymphocytesBiocatalysisCarboxylic Ester HydrolasesCase-Control StudiesCell LineDiabetes Mellitus, Type 1EuropeExonsGenetic Predisposition to DiseaseGerm-Line MutationHumansMiceN-Acetylneuraminic AcidOdds RatioPolymorphism, Single NucleotideSample SizeSequence Analysis, DNA
2009
Comprehensive follow-up of the first genome-wide association study of multiple sclerosis identifies KIF21B and TMEM39A as susceptibility loci
, , McCauley J, Zuvich R, Beecham A, De Jager P, Konidari I, Whitehead P, Aubin C, Ban M, Pobywajlo S, Briskin R, Romano S, Aggarwal N, Piccio L, McArdle W, Strachan D, Evans D, Cross A, Cree B, Rioux J, Barcellos L, Ivinson A, Compston A, Hafler D, Hauser S, Oksenberg J, Sawcer S, Pericak-Vance M, Haines J. Comprehensive follow-up of the first genome-wide association study of multiple sclerosis identifies KIF21B and TMEM39A as susceptibility loci. Human Molecular Genetics 2009, 19: 953-962. PMID: 20007504, PMCID: PMC2816610, DOI: 10.1093/hmg/ddp542.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesSingle nucleotide polymorphismsAssociation studiesFirst genome-wide association studyGenome-wide association screenNumerous complex diseasesSusceptibility lociInitial genome-wide association studyGenome-wide significanceNovel susceptibility lociComplex genetic diseasesHundreds of associationsSNP hitsGWAS studiesGenetic diseasesLociComplex diseasesOriginal screenTMEM39AInitial associationIndependent data setsReplicationKIF21BInitial replicationScreen
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