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 outcomes
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 smoking
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 pathways
2017
Machine-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
2014
Blood-based gene-expression biomarkers of post-traumatic stress disorder among deployed marines: A pilot study
Tylee DS, Chandler SD, Nievergelt CM, Liu X, Pazol J, Woelk CH, Lohr JB, Kremen WS, Investigators M, Baker D, Glatt S, Tsuang M. Blood-based gene-expression biomarkers of post-traumatic stress disorder among deployed marines: A pilot study. Psychoneuroendocrinology 2014, 51: 472-494. PMID: 25311155, PMCID: PMC4199086, DOI: 10.1016/j.psyneuen.2014.09.024.Peer-Reviewed Original ResearchConceptsPost-traumatic stress disorderPeripheral bloodBiomarker panelStress disorderPilot studyPeripheral blood biomarkersHigh-risk individualsPeripheral blood samplesPeripheral blood cellsExpression levelsDiagnostic biomarker panelGene expression levelsTrauma-exposed individualsBlood biomarkersBlood samplesGene expression biomarkersBiomarker profilesDiagnostic utilityBrain tissueDiagnostic panelBlood cellsBloodFull-length gene transcriptsBiomarkersDisorders
2013
Blood‐based gene‐expression predictors of PTSD risk and resilience among deployed marines: A pilot study
Glatt SJ, Tylee DS, Chandler SD, Pazol J, Nievergelt CM, Woelk CH, Baker DG, Lohr JB, Kremen WS, Litz BT, Tsuang MT, Investigators M. Blood‐based gene‐expression predictors of PTSD risk and resilience among deployed marines: A pilot study. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2013, 162: 313-326. PMID: 23650250, DOI: 10.1002/ajmg.b.32167.Peer-Reviewed Original ResearchConceptsPeripheral blood cellsPeripheral bloodBlood cellsPTSD casesHigh-risk individualsPeripheral blood samplesPanel of biomarkersExpression levelsGene expression levelsPredictive biomarker panelPredictive panelHigh riskBlood samplesBiomarker panelEarly interventionGene expression predictorsTrauma exposurePTSD riskPilot studyBloodImmune genesIndependent samplesFull-length gene transcriptsPTSDRisk