2023
STRESS IN A DISH: MODELING THE IMPACT OF COMMON GENETIC VARIATION ON STRESS RESPONSE IN HIPSC-DERIVED NEURONS IN PTSD
Seah C, Signer R, Young H, Kozik E, Rusielewicz T, Bader H, Xu C, de Pins A, Breen M, Paull D, Yehuda R, Girgenti M, Brennand K, Huckins L. STRESS IN A DISH: MODELING THE IMPACT OF COMMON GENETIC VARIATION ON STRESS RESPONSE IN HIPSC-DERIVED NEURONS IN PTSD. European Neuropsychopharmacology 2023, 75: s40. DOI: 10.1016/j.euroneuro.2023.08.081.Peer-Reviewed Original ResearchCommon genetic variationGenetic variationStress responseCell typesEQTL associationsTranscriptional stress responseGenomic risk lociTissue-specific mannerChIP-seq datasetsCell type deconvolutionCommon genetic variantsPost-mortem brainsGene expression signaturesHiPSC-derived neuronsTranscription factorsSuch lociCatalog genesRisk lociGenetic studiesExpression signaturesGenetic variantsRegulatory activityGenesEQTLsMechanistic understanding
2021
Common Genetic Variation in Humans Impacts In Vitro Susceptibility to SARS-CoV-2 Infection
Dobrindt K, Hoagland DA, Seah C, Kassim B, O'Shea CP, Murphy A, Iskhakova M, Fernando MB, Powell SK, Deans PJM, Javidfar B, Peter C, Møller R, Uhl SA, Garcia MF, Kimura M, Iwasawa K, Crary JF, Kotton DN, Takebe T, Huckins LM, tenOever BR, Akbarian S, Brennand KJ. Common Genetic Variation in Humans Impacts In Vitro Susceptibility to SARS-CoV-2 Infection. Stem Cell Reports 2021, 16: 505-518. PMID: 33636110, PMCID: PMC7881728, DOI: 10.1016/j.stemcr.2021.02.010.Peer-Reviewed Original ResearchMeSH Keywords3' Untranslated RegionsAdolescentAdultAnimalsCell LineChlorocebus aethiopsClustered Regularly Interspaced Short Palindromic RepeatsCOVID-19FemaleFurinGenetic Predisposition to DiseaseHost-Pathogen InteractionsHumansInduced Pluripotent Stem CellsMaleNeuronsPeptide HydrolasesPolymorphism, Single NucleotideSARS-CoV-2Vero CellsConceptsSARS-CoV-2Clinical complicationsSARS-CoV-2 infectionCommon genetic variationHigh-risk individualsHost genetic variantsSignificant interindividual variabilityNeuron infectionUnderlying comorbiditiesViral loadHealthy individualsViral infectionClinical heterogeneityVitro SusceptibilityEtiologic agentHost responseInterindividual variabilityDiscovery of drugsInfectionHost geneticsHuman induced pluripotent stem cellsSingle nucleotide polymorphismsAntibody repertoireMore diseasesComplications
2018
Chronotype and cellular circadian rhythms predict the clinical response to lithium maintenance treatment in patients with bipolar disorder
McCarthy MJ, Wei H, Nievergelt CM, Stautland A, Maihofer AX, Welsh DK, Shilling P, Alda M, Alliey-Rodriguez N, Anand A, Andreasson OA, Balaraman Y, Berrettini WH, Bertram H, Brennand KJ, Calabrese JR, Calkin CV, Claasen A, Conroy C, Coryell WH, Craig DW, D’Arcangelo N, Demodena A, Djurovic S, Feeder S, Fisher C, Frazier N, Frye MA, Gage FH, Gao K, Garnham J, Gershon ES, Glazer K, Goes F, Goto T, Harrington G, Jakobsen P, Kamali M, Karberg E, Kelly M, Leckband SG, Lohoff F, McInnis MG, Mondimore F, Morken G, Nurnberger JI, Obral S, Oedegaard KJ, Ortiz A, Ritchey M, Ryan K, Schinagle M, Schoeyen H, Schwebel C, Shaw M, Shekhtman T, Slaney C, Stapp E, Szelinger S, Tarwater B, Zandi PP, Kelsoe JR. Chronotype and cellular circadian rhythms predict the clinical response to lithium maintenance treatment in patients with bipolar disorder. Neuropsychopharmacology 2018, 44: 620-628. PMID: 30487653, PMCID: PMC6333516, DOI: 10.1038/s41386-018-0273-8.Peer-Reviewed Original ResearchConceptsBipolar disorderEffects of lithiumMaintenance treatmentBD patientsCircadian rhythmMinority of patientsLithium maintenance treatmentMood stabilizer treatmentSerious mood disorderCircadian rhythm abnormalitiesCircadian rhythm parametersClinical responseCircadian rhythm functionLithium monotherapyClinical trialsMood disordersRhythm abnormalitiesMood symptomsPharmacological effectsPatientsEvening chronotypeStabilizer treatmentCommon genetic variationRhythm parametersMonotherapy