2023
Sex differences in the polygenic architecture of hearing problems in adults
De Angelis F, Zeleznik O, Wendt F, Pathak G, Tylee D, De Lillo A, Koller D, Cabrera-Mendoza B, Clifford R, Maihofer A, Nievergelt C, Curhan G, Curhan S, Polimanti R. Sex differences in the polygenic architecture of hearing problems in adults. Genome Medicine 2023, 15: 36. PMID: 37165447, PMCID: PMC10173489, DOI: 10.1186/s13073-023-01186-3.Peer-Reviewed Original ResearchConceptsPolygenic architectureRisk lociGenome-wide investigationLarge-scale genetic studiesTranscriptomic regulationGWAS findingsTranscriptomic associationsGene interactionsPotential roleRegulation analysisGenetic studiesInference analysisMillion Veteran ProgramHealth Professionals FollowMolecular pathwaysPolygenic riskPreventive screening programsMultivariate interaction analysisNovel insightsCentral nervous systemEnvironmental risk factorsSex-stratified analysesSex-specific analysesSex differencesMental health outcomesEpidemiologic and Genetic Associations of Endometriosis With Depression, Anxiety, and Eating Disorders
Koller D, Pathak G, Wendt F, Tylee D, Levey D, Overstreet C, Gelernter J, Taylor H, Polimanti R. Epidemiologic and Genetic Associations of Endometriosis With Depression, Anxiety, and Eating Disorders. JAMA Network Open 2023, 6: e2251214. PMID: 36652249, PMCID: PMC9856929, DOI: 10.1001/jamanetworkopen.2022.51214.Peer-Reviewed Original ResearchConceptsPsychiatric comorbidityMAIN OUTCOMEMental healthIrritable bowel syndromeBody mass indexAssociation of endometriosisOdds of depressionSevere physical symptomsPain-related phenotypesWomen's mental healthMultivariate regression analysisOdds of endometriosisBowel syndromeGenetic associationMass indexGynecologic pathologyMillion Veteran ProgramEndometriosisPsychiatric disordersWomen's healthFemale controlsPleiotropic mechanismsPhysical symptomsComorbiditiesFinnGen study
2022
Understanding the comorbidity between posttraumatic stress severity and coronary artery disease using genome-wide information and electronic health records
Polimanti R, Wendt FR, Pathak GA, Tylee DS, Tcheandjieu C, Hilliard AT, Levey DF, Adhikari K, Gaziano JM, O’Donnell C, Assimes TL, Stein MB, Gelernter J. Understanding the comorbidity between posttraumatic stress severity and coronary artery disease using genome-wide information and electronic health records. Molecular Psychiatry 2022, 27: 3961-3969. PMID: 35986173, PMCID: PMC10986859, DOI: 10.1038/s41380-022-01735-z.Peer-Reviewed Original ResearchConceptsCoronary artery diseasePosttraumatic stress disorderElectronic health recordsMillion Veteran ProgramArtery diseaseTotal scoreCAD diagnosisPlatelet amyloid precursor proteinHealth recordsPosttraumatic stress severityAmyloid precursor proteinEarly CAD diagnosisUK BiobankBidirectional relationshipTwo-sample Mendelian randomization (MR) analysisMendelian randomization analysisCAD riskHigh morbidityPTSD symptom severityCARDIoGRAMplusC4D consortiumPleiotropic mechanismsSymptom severityLongitudinal changesDiscordant effectsStress disorderAn Atlas of Genetic Correlations and Genetically Informed Associations Linking Psychiatric and Immune-Related Phenotypes
Tylee DS, Lee YK, Wendt FR, Pathak GA, Levey DF, De Angelis F, Gelernter J, Polimanti R. An Atlas of Genetic Correlations and Genetically Informed Associations Linking Psychiatric and Immune-Related Phenotypes. JAMA Psychiatry 2022, 79: 667-676. PMID: 35507366, PMCID: PMC9069342, DOI: 10.1001/jamapsychiatry.2022.0914.Peer-Reviewed Original ResearchConceptsRisk factorsImmune-related phenotypesMultivariable adjustmentUlcerative colitisCrohn's diseaseMendelian randomizationImmune-related disordersReciprocal risk factorsHealth-related behaviorsPsychiatric phenotypesFalse discovery rate correctionAllergic rhinitisGenetic association studiesGenetic associationInflammatory disordersClinical associationsMajor depressionImmune disordersMAIN OUTCOMEPsychiatric disordersSocial determinantsDisordersAssociation studiesColitisAsthmaUnderstanding the complex genetic architecture connecting rheumatoid arthritis, osteoporosis and inflammation: discovering causal pathways
Kasher M, Williams F, Freidin M, Malkin I, Cherny S, Benjamin E, Chasman D, Dehghan A, Ahluwalia T, Meigs J, Tracy R, Alizadeh B, Ligthart S, Bis J, Eiriksdottir G, Pankratz N, Gross M, Rainer A, Snieder H, Wilson J, Psaty B, Dupuis J, Prins B, Vaso U, Stathopoulou M, Franke L, Lehtimaki T, Koenig W, Jamshidi Y, Siest S, Abbasi A, Uitterlinden A, Abdollahi M, Schnabel R, Schick U, Nolte I, Kraja A, Hsu Y, Tylee D, Zwicker A, Uher R, Davey-Smith G, Morrison A, Hicks A, van Duijn C, Ward-Caviness C, Boerwinkle E, Rotter J, Rice K, Lange L, Perola M, de Geus E, Morris A, Makela K, Stacey D, Eriksson J, Frayling T, Slagboom E, Livshits G. Understanding the complex genetic architecture connecting rheumatoid arthritis, osteoporosis and inflammation: discovering causal pathways. Human Molecular Genetics 2022, 31: 2623-2632. PMID: 35349660, PMCID: PMC9402243, DOI: 10.1093/hmg/ddac061.Peer-Reviewed Original ResearchConceptsCausal single nucleotide polymorphismsSingle nucleotide polymorphismsGenetic architectureColocalization analysisSame molecular functionAnalysis of pleiotropyComplex genetic architectureGenome-wide association study summary statisticsOp phenotypeMolecular functionsGenomic regionsPleiotropyOsteoporosis ConsortiumGenetic relationshipsGenetic backgroundGenetic variantsNucleotide polymorphismsMendelian randomizationGenesTraitsPhenotypeGenetic factorsProtein bindingUK BiobankHorizontal pleiotropyGenetically regulated multi-omics study for symptom clusters of posttraumatic stress disorder highlights pleiotropy with hematologic and cardio-metabolic traits
Pathak GA, Singh K, Wendt FR, Fleming TW, Overstreet C, Koller D, Tylee DS, De Angelis F, Cabrera Mendoza B, Levey DF, Koenen KC, Krystal JH, Pietrzak RH, O’ Donell C, Gaziano JM, Falcone G, Stein MB, Gelernter J, Pasaniuc B, Mancuso N, Davis LK, Polimanti R. Genetically regulated multi-omics study for symptom clusters of posttraumatic stress disorder highlights pleiotropy with hematologic and cardio-metabolic traits. Molecular Psychiatry 2022, 27: 1394-1404. PMID: 35241783, PMCID: PMC9210390, DOI: 10.1038/s41380-022-01488-9.Peer-Reviewed Original ResearchConceptsLocal genetic correlationsCell type-specific expressionVanderbilt University biorepositoryMulti-omics studiesMulti-omics investigationsDorsolateral prefrontal cortex tissueGenomic evidenceLaboratory traitsSpecific expressionCardio-metabolic traitsMillion Veteran ProgramPrefrontal cortex tissueMiR-148GenesGenetic correlationsRegulatory profileTraitsProtein expressionCardiometabolic traitsExpressionVeteran ProgramCortex tissueBiological heterogeneitySplicingPrioritization approach
2021
Drinking and smoking polygenic risk is associated with childhood and early-adulthood psychiatric and behavioral traits independently of substance use and psychiatric genetic risk
De Angelis F, Wendt FR, Pathak GA, Tylee DS, Goswami A, Gelernter J, Polimanti R. Drinking and smoking polygenic risk is associated with childhood and early-adulthood psychiatric and behavioral traits independently of substance use and psychiatric genetic risk. Translational Psychiatry 2021, 11: 586. PMID: 34775470, PMCID: PMC8590689, DOI: 10.1038/s41398-021-01713-z.Peer-Reviewed Original ResearchConceptsSubstance useYoung adultsBehavioral traitsPhiladelphia Neurodevelopmental CohortRemoval of participantsAnxiety-related traitsRisk-taking behaviorVerbal reasoningCognitive performancePolygenic risk scoresSocial competenciesNeurobiological processesNeurodevelopmental CohortPsychiatric genetic riskDrinking behaviorParent educationPRS associationsPolygenic riskPsychopathologyGenetic overlapPsychotic symptomsAdverse health outcomesHazardous behaviorEducational attainmentTobacco smokingRole of microbes in the pathogenesis of neuropsychiatric disorders
Goswami A, Wendt FR, Pathak GA, Tylee DS, De Angelis F, De Lillo A, Polimanti R. Role of microbes in the pathogenesis of neuropsychiatric disorders. Frontiers In Neuroendocrinology 2021, 62: 100917. PMID: 33957173, PMCID: PMC8364482, DOI: 10.1016/j.yfrne.2021.100917.Peer-Reviewed Original ResearchConceptsNeuropsychiatric disordersDifferent anatomical sitesOral cavityAnatomical sitesHuman studiesBody sitesTranslational potentialPotential involvementPathogenesisGutMicrobial metabolitesDisordersBidirectional communicationStrong evidenceDiseaseNeurotransmittersBrainMicrobiome researchMicrobiome variation
2020
Characterizing the effect of background selection on the polygenicity of brain-related traits
Wendt FR, Pathak GA, Overstreet C, Tylee DS, Gelernter J, Atkinson EG, Polimanti R. Characterizing the effect of background selection on the polygenicity of brain-related traits. Genomics 2020, 113: 111-119. PMID: 33278486, PMCID: PMC7855394, DOI: 10.1016/j.ygeno.2020.11.032.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesBrain-related traitsGWAS of schizophreniaTrait-associated lociLocus effect sizesSubset of traitsGenotype networksGenetic architectureIntolerant regionsBrain-related phenotypesBackground selectionNatural selectionEvolutionary pressurePositive selectionSNP heritabilityLocal ancestryAssociation studiesTraitsFunctional significanceLociPolygenicityBinary annotationPhenotypeRisk allelesSize varianceInterleukin-6 Signaling Effects on Ischemic Stroke and Other Cardiovascular Outcomes
Georgakis M, Malik R, Gill D, Franceschini N, Sudlow C, Dichgans M, Lindstrom S, Wang L, Smith E, Gordon W, van Hylckama Vlieg A, de Andrade M, Brody J, Pattee J, Haessler J, Brumpton B, Chasman D, Suchon P, Chen M, Turman C, Germain M, Wiggins K, MacDonald J, Braekkan S, Armasu S, Pankratz N, Jackson R, Nielsen J, Giulianini F, Puurunen M, Ibrahim M, Heckbert S, Damrauer S, Natarajan P, Klarin D, de Vries P, SabaterLleal M, Huffman J, Bammler T, Frazer K, McCauley B, Taylor K, Pankow J, Reiner A, Gabrielsen M, Deleuze J, O’Donnell C, Kim J, McKnight B, Kraft P, Hansen J, Rosendaal F, Heit J, Psaty B, Tang W, Kooperberg C, Hveem K, Ridker P, Morange P, Johnson A, Kabrhel C, Trégouët D, Smith N, Benjamin E, Chasman D, Dehghan A, Ahluwalia T, Meigs J, Tracy R, Alizadeh B, Ligthart S, Bis J, Eiriksdottir G, Pankratz N, Gross M, Rainer A, Snieder H, Wilson J, Psaty B, Dupuis J, Prins B, Vaso U, Stathopoulou M, Franke L, Lehtimaki T, Koenig W, Jamshidi Y, Siest S, Abbasi A, Uitterlinden A, Abdollahi M, Schnabel R, Schick U, Nolte I, Kraja A, Hsu Y, Tylee D, Zwicker A, Uher R, Davey-Smith G, Morrison A, Hicks A, van Duijn C, Ward-Caviness C, Boerwinkle E, Rotter J, Rice K, Lange L, Perola M, de Geus E, Morris A, Makela K, Stacey D, Eriksson J, Frayling T, Slagboom E. Interleukin-6 Signaling Effects on Ischemic Stroke and Other Cardiovascular Outcomes. Circulation Genomic And Precision Medicine 2020, 13: e002872-e002872. PMID: 32397738, PMCID: PMC7299212, DOI: 10.1161/circgen.119.002872.Peer-Reviewed Original Research
2019
A polygenic resilience score moderates the genetic risk for schizophrenia
Hess JL, Tylee DS, Mattheisen M, Børglum A, Als T, Grove J, Werge T, Mortensen P, Mors O, Nordentoft M, Hougaard D, Byberg-Grauholm J, Bækvad-Hansen M, Greenwood T, Tsuang M, Curtis D, Steinberg S, Sigurdsson E, Stefánsson H, Stefánsson K, Edenberg H, Holmans P, Faraone S, Glatt S. A polygenic resilience score moderates the genetic risk for schizophrenia. Molecular Psychiatry 2019, 26: 800-815. PMID: 31492941, PMCID: PMC7058518, DOI: 10.1038/s41380-019-0463-8.Peer-Reviewed Original ResearchTranscriptomic abnormalities in peripheral blood in bipolar disorder, and discrimination of the major psychoses
Hess JL, Tylee DS, Barve R, de Jong S, Ophoff RA, Kumarasinghe N, Tooney P, Schall U, Gardiner E, Beveridge NJ, Scott RJ, Yasawardene S, Perera A, Mendis J, Carr V, Kelly B, Cairns M, Unit T, Tsuang MT, Glatt SJ. Transcriptomic abnormalities in peripheral blood in bipolar disorder, and discrimination of the major psychoses. Schizophrenia Research 2019, 217: 124-135. PMID: 31391148, PMCID: PMC6997041, DOI: 10.1016/j.schres.2019.07.036.Peer-Reviewed Original ResearchConceptsGene modulesSZ casesGene co-expression network analysisCo-expression network analysisGene expression profilesGene expression alterationsChromatin regulationChromatin remodelingNineteen genesGene networksTranscriptomic abnormalitiesDisorder-specific changesGene expressionExpression profilesBiological processesImmune signalingExpression alterationsTranscriptomic signaturesGenesReactive oxygenUnaffected comparison subjectsMajor psychosesOxidative stressBD casesApoptosis
2018
Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders
Ligthart S, Vaez A, Võsa U, Stathopoulou M, de Vries P, Prins B, Van der Most P, Tanaka T, Naderi E, Rose L, Wu Y, Karlsson R, Barbalic M, Lin H, Pool R, Zhu G, Macé A, Sidore C, Trompet S, Mangino M, Sabater-Lleal M, Kemp J, Abbasi A, Kacprowski T, Verweij N, Smith A, Huang T, Marzi C, Feitosa M, Lohman K, Kleber M, Milaneschi Y, Mueller C, Huq M, Vlachopoulou E, Lyytikäinen L, Oldmeadow C, Deelen J, Perola M, Zhao J, Feenstra B, Amini M, Lahti J, Schraut K, Fornage M, Suktitipat B, Chen W, Li X, Nutile T, Malerba G, Luan J, Bak T, Schork N, Del Greco M. F, Thiering E, Mahajan A, Marioni R, Mihailov E, Eriksson J, Ozel A, Zhang W, Nethander M, Cheng Y, Aslibekyan S, Ang W, Gandin I, Yengo L, Portas L, Kooperberg C, Hofer E, Rajan K, Schurmann C, Hollander W, Ahluwalia T, Zhao J, Draisma H, Ford I, Timpson N, Teumer A, Huang H, Wahl S, Liu Y, Huang J, Uh H, Geller F, Joshi P, Yanek L, Trabetti E, Lehne B, Vozzi D, Verbanck M, Biino G, Saba Y, Meulenbelt I, O’Connell J, Laakso M, Giulianini F, Magnusson P, Ballantyne C, Hottenga J, Montgomery G, Rivadineira F, Rueedi R, Steri M, Herzig K, Stott D, Menni C, Frånberg M, St. Pourcain B, Felix S, Pers T, Bakker S, Kraft P, Peters A, Vaidya D, Delgado G, Smit J, Großmann V, Sinisalo J, Seppälä I, Williams S, Holliday E, Moed M, Langenberg C, Räikkönen K, Ding J, Campbell H, Sale M, Chen Y, James A, Ruggiero D, Soranzo N, Hartman C, Smith E, Berenson G, Fuchsberger C, Hernandez D, Tiesler C, Giedraitis V, Liewald D, Fischer K, Mellström D, Larsson A, Wang Y, Scott W, Lorentzon M, Beilby J, Ryan K, Pennell C, Vuckovic D, Balkau B, Concas M, Schmidt R, de Leon C, Bottinger E, Kloppenburg M, Paternoster L, Boehnke M, Musk A, Willemsen G, Evans D, Madden P, Kähönen M, Kutalik Z, Zoledziewska M, Karhunen V, Kritchevsky S, Sattar N, Lachance G, Clarke R, Harris T, Raitakari O, Attia J, van Heemst D, Kajantie E, Sorice R, Gambaro G, Scott R, Hicks A, Ferrucci L, Standl M, Lindgren C, Starr J, Karlsson M, Lind L, Li J, Chambers J, Mori T, de Geus E, Heath A, Martin N, Auvinen J, Buckley B, de Craen A, Waldenberger M, Strauch K, Meitinger T, Scott R, McEvoy M, Beekman M, Bombieri C, Ridker P, Mohlke K, Pedersen N, Morrison A, Boomsma D, Whitfield J, Strachan D, Hofman A, Vollenweider P, Cucca F, Jarvelin M, Jukema J, Spector T, Hamsten A, Zeller T, Uitterlinden A, Nauck M, Gudnason V, Qi L, Grallert H, Borecki I, Rotter J, März W, Wild P, Lokki M, Boyle M, Salomaa V, Melbye M, Eriksson J, Wilson J, Penninx B, Becker D, Worrall B, Gibson G, Krauss R, Ciullo M, Zaza G, Wareham N, Oldehinkel A, Palmer L, Murray S, Pramstaller P, Bandinelli S, Heinrich J, Ingelsson E, Deary I, Mägi R, Vandenput L, van der Harst P, Desch K, Kooner J, Ohlsson C, Hayward C, Lehtimäki T, Shuldiner A, Arnett D, Beilin L, Robino A, Froguel P, Pirastu M, Jess T, Koenig W, Loos R, Evans D, Schmidt H, Smith G, Slagboom E, Eiriksdottir G, Morris A, Psaty B, Tracy R, Nolte I, Boerwinkle E, Visvikis-Siest S, Reiner A, Gross M, Bis J, Franke L, Franco O, Benjamin E, Chasman D, Dupuis J, Snieder H, Dehghan A, Alizadeh B, Alizadeh B, Boezen H, Franke L, van der Harst P, Navis G, Rots M, Snieder H, Swertz M, Wolffenbuttel B, Wijmenga C, Benjamin E, Chasman D, Dehghan A, Ahluwalia T, Meigs J, Tracy R, Alizadeh B, Ligthart S, Bis J, Eiriksdottir G, Pankratz N, Gross M, Rainer A, Snieder H, Wilson J, Psaty B, Dupuis J, Prins B, Vaso U, Stathopoulou M, Franke L, Lehtimaki T, Koenig W, Jamshidi Y, Siest S, Abbasi A, Uitterlinden A, Abdollahi M, Schnabel R, Schick U, Nolte I, Kraja A, Hsu Y, Tylee D, Zwicker A, Uher R, Davey-Smith G, Morrison A, Hicks A, van Duijn C, Ward-Caviness C, Boerwinkle E, Rotter J, Rice K, Lange L, Perola M, de Geus E, Morris A, Makela K, Stacey D, Eriksson J, Frayling T, Slagboom P. Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders. American Journal Of Human Genetics 2018, 103: 691-706. PMID: 30388399, PMCID: PMC6218410, DOI: 10.1016/j.ajhg.2018.09.009.Peer-Reviewed Original ResearchConceptsC-reactive proteinAmount of CRPGenome-wide association studiesMendelian randomization analysisClinical outcomesChronic inflammationChronic low-grade inflammationLow-grade inflammationRandomization analysisBody mass indexBiology of inflammationCausal protective effectDistinct genetic lociRisk-increasing effectSilico functional analysisMass indexProtective effectClinical consequencesMultiple complex diseasesImmune pathwaysInflammationBipolar disorderSensitive biomarkerGenome analysisHighlight pathwaysGenetic correlations among psychiatric and immune‐related phenotypes based on genome‐wide association data
Tylee DS, Sun J, Hess JL, Tahir MA, Sharma E, Malik R, Worrall BB, Levine AJ, Martinson JJ, Nejentsev S, Speed D, Fischer A, Mick E, Walker BR, Crawford A, Grant SFA, Polychronakos C, Bradfield JP, Sleiman PMA, Hakonarson H, Ellinghaus E, Elder JT, Tsoi LC, Trembath RC, Barker JN, Franke A, Dehghan A, Team T, Consortium T, Consortium T, Registry T, Group T, Consortium T, Faraone SV, Glatt SJ. Genetic correlations among psychiatric and immune‐related phenotypes based on genome‐wide association data. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2018, 177: 641-657. PMID: 30325587, PMCID: PMC6230304, DOI: 10.1002/ajmg.b.32652.Peer-Reviewed Original ResearchConceptsImmune-related phenotypesPsychiatric disordersSystemic lupus erythematosusPrimary biliary cirrhosisLinkage disequilibrium score regressionImmune-related disordersAttention deficit hyperactivity disorderAutoimmune comorbiditiesDeficit hyperactivity disorderLupus erythematosusUlcerative colitisBiliary cirrhosisCrohn's diseaseObsessive-compulsive disorderMajor depressionImmunological stateSmoking behaviorTourette syndromeBipolar disorderAnorexia nervosaSummary-level dataEpidemiological literatureImmune signalingRespective disordersDisorders
2017
PTSD Blood Transcriptome Mega-Analysis: Shared Inflammatory Pathways across Biological Sex and Modes of Trauma
Breen MS, Tylee DS, Maihofer AX, Neylan TC, Mehta D, Binder EB, Chandler SD, Hess JL, Kremen WS, Risbrough VB, Woelk CH, Baker DG, Nievergelt CM, Tsuang MT, Buxbaum JD, Glatt SJ. PTSD Blood Transcriptome Mega-Analysis: Shared Inflammatory Pathways across Biological Sex and Modes of Trauma. Neuropsychopharmacology 2017, 43: 469-481. PMID: 28925389, PMCID: PMC5770765, DOI: 10.1038/npp.2017.220.Peer-Reviewed Original ResearchConceptsDistinct gene expression perturbationsCo-expression network analysisMitogen-activated protein kinase activityCommon signaling cascadesGene expression perturbationsProtein kinase activityTranscriptome-wide screenDistinct biological pathwaysMolecular convergenceGene expression signaturesTranscriptome studiesExpression perturbationsTranscriptional dysregulationSignaling cascadesKinase activityBiological pathwaysExpression signaturesType I interferonWidespread immune dysregulationInnate immuneLipid metabolismPathwayI interferonNetwork analysisDysregulationMachine-learning classification of 22q11.2 deletion syndrome: A diffusion tensor imaging study
Tylee DS, Kikinis Z, Quinn TP, Antshel KM, Fremont W, Tahir MA, Zhu A, Gong X, Glatt SJ, Coman IL, Shenton ME, Kates WR, Makris N. Machine-learning classification of 22q11.2 deletion syndrome: A diffusion tensor imaging study. NeuroImage Clinical 2017, 15: 832-842. PMID: 28761808, PMCID: PMC5522376, DOI: 10.1016/j.nicl.2017.04.029.Peer-Reviewed Original Research
2016
Blood transcriptomic comparison of individuals with and without autism spectrum disorder: A combined‐samples mega‐analysis
Tylee DS, Hess JL, Quinn TP, Barve R, Huang H, Zhang‐James Y, Chang J, Stamova BS, Sharp FR, Hertz‐Picciotto I, Faraone SV, Kong SW, Glatt SJ. Blood transcriptomic comparison of individuals with and without autism spectrum disorder: A combined‐samples mega‐analysis. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2016, 174: 181-201. PMID: 27862943, PMCID: PMC5499528, DOI: 10.1002/ajmg.b.32511.Peer-Reviewed Original ResearchRNA sequencing of transformed lymphoblastoid cells from siblings discordant for autism spectrum disorders reveals transcriptomic and functional alterations: Evidence for sex‐specific effects
Tylee DS, Espinoza AJ, Hess JL, Tahir MA, McCoy SY, Rim JK, Dhimal T, Cohen OS, Glatt SJ. RNA sequencing of transformed lymphoblastoid cells from siblings discordant for autism spectrum disorders reveals transcriptomic and functional alterations: Evidence for sex‐specific effects. Autism Research 2016, 10: 439-455. PMID: 27529825, DOI: 10.1002/aur.1679.Peer-Reviewed Original ResearchConceptsTranscriptomic differencesGenome-wide expression studiesGene co-expression network analysisCo-expression network analysisTranscriptomic signaturesGene-set analysisStructural genetic variantsIdentified transcriptsGenomic studiesExpression studiesLymphoblastoid cell linesGenetic variantsCell linesExpression valuesNetwork analysisSignificant overlapGenesTranscriptsRNAASD studiesAutism spectrum disorderMale samplesLarge numberSignaturesFemalesTranscriptome-wide mega-analyses reveal joint dysregulation of immunologic genes and transcription regulators in brain and blood in schizophrenia
Hess JL, Tylee DS, Barve R, de Jong S, Ophoff RA, Kumarasinghe N, Tooney P, Schall U, Gardiner E, Beveridge NJ, Scott RJ, Yasawardene S, Perera A, Mendis J, Carr V, Kelly B, Cairns M, Unit T, Tsuang MT, Glatt SJ. Transcriptome-wide mega-analyses reveal joint dysregulation of immunologic genes and transcription regulators in brain and blood in schizophrenia. Schizophrenia Research 2016, 176: 114-124. PMID: 27450777, PMCID: PMC5026943, DOI: 10.1016/j.schres.2016.07.006.Peer-Reviewed Original ResearchConceptsGene co-expression modulesMicroarray dataCo-expression modulesInnate immune gene expressionRelated gene setsImmune gene expressionTranscription regulatorsNetwork-based analysisGene setsBiological functionsGene expressionRegulatory factorsPostmortem prefrontal cortexMicroarray technologyCell typesTop hitsHigh-throughput assessmentGenesTissue functionBlood tissuePostmortem brain tissueGenetic risk factorsImmunologic genesMicroarray literatureDysregulation
2015
Gene networks specific for innate immunity define post-traumatic stress disorder
Breen MS, Maihofer AX, Glatt SJ, Tylee DS, Chandler SD, Tsuang MT, Risbrough VB, Baker DG, O'Connor DT, Nievergelt CM, Woelk CH. Gene networks specific for innate immunity define post-traumatic stress disorder. Molecular Psychiatry 2015, 20: 1538-1545. PMID: 25754082, PMCID: PMC4565790, DOI: 10.1038/mp.2015.9.Peer-Reviewed Original ResearchConceptsPost-traumatic stress disorderPTSD developmentStress disorderExpression of genesDevelopment of PTSDEarly preventative measuresPeripheral blood leukocytesInnate immune responseProper wound healingProspective experimental designClinical indicatorsRNA-seq gene expressionHemostatic systemBlood leukocytesInnate immuneCausal pathophysiologyMechanisms of PTSDCo-regulated genesInnate immunityPrevious transcriptomic studiesTrauma exposureCo-expression modulesU.S. MarinesPreventative measuresWound healing