2024
Maternal Adverse Childhood Experiences and Biological Aging During Pregnancy and in Newborns
Dye C, Alschuler D, Wu H, Duarte C, Monk C, Belsky D, Lee S, O’Donnell K, Baccarelli A, Scorza P. Maternal Adverse Childhood Experiences and Biological Aging During Pregnancy and in Newborns. JAMA Network Open 2024, 7: e2427063. PMID: 39120899, PMCID: PMC11316241, DOI: 10.1001/jamanetworkopen.2024.27063.Peer-Reviewed Original ResearchConceptsMaternal adverse childhood experiencesAdverse childhood experiencesEdinburgh Postnatal Depression ScaleAccessible Resource for Integrated Epigenomics StudiesEpigenetic age accelerationGestational age accelerationAssociated with epigenetic agingAvon Longitudinal Study of ParentsLongitudinal Study of ParentsPostnatal Depression ScalePrimary outcomeChildhood experiencesAvon Longitudinal StudyEpigenetic ageStudy of ParentsAge accelerationHigher ACE scoresCross-sectional studyEpigenetic clocksMother-offspring dyadsDepression ScaleHealth districtMother-child dyadsDNA methylation–based epigenetic clocksInvestigate depression
2023
Investigating the effects of maltreatment and acute stress on the concordance of blood and DNA methylation methods of estimating immune cell proportions
Apsley A, Etzel L, Hastings W, Heim C, Noll J, O’Donnell K, Schreier H, Shenk C, Ye Q, Shalev I. Investigating the effects of maltreatment and acute stress on the concordance of blood and DNA methylation methods of estimating immune cell proportions. Clinical Epigenetics 2023, 15: 33. PMID: 36855187, PMCID: PMC9976543, DOI: 10.1186/s13148-023-01437-5.Peer-Reviewed Original ResearchConceptsComplete blood countImmune cell proportionsAcute psychosocial stressCell proportionPsychosocial stressPsychosocial stress altersImmune cell subtypesAcute laboratory stressorEarly life adversityStress-exposed individualsChild maltreatmentPediatric cohortBlood countCell subtypesAcute stressStress-induced changesPathophysiological statesLife adversityCritical covariatesLaboratory stressorYoung adultsEffects of maltreatmentDNAm alterationsClinical populationsDNA methylation
2022
Obesity and accelerated epigenetic aging in a high-risk cohort of children
Etzel L, Hastings WJ, Hall MA, Heim CM, Meaney MJ, Noll JG, O’Donnell K, Pokhvisneva I, Rose EJ, Schreier HMC, Shenk CE, Shalev I. Obesity and accelerated epigenetic aging in a high-risk cohort of children. Scientific Reports 2022, 12: 8328. PMID: 35585103, PMCID: PMC9117197, DOI: 10.1038/s41598-022-11562-5.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgingChildDNA MethylationEpigenesis, GeneticHumansMiddle AgedObesityProspective StudiesConceptsBody mass indexHigh-risk cohortHigher ageHigher body mass indexOngoing prospective studyBlood cell countChild Health StudyEpigenetic agingHigh-risk childrenPoor health outcomesMiddle-aged adultsMass indexProspective studyFuture morbidityBlood leukocytesMortality riskHealth StudyObesityHealth outcomesCell countCohortEarly lifeContinuous variablesChildrenBiological aging
2021
Maternal Prenatal Anxiety and the Fetal Origins of Epigenetic Aging
McGill MG, Pokhvisneva I, Clappison AS, McEwen LM, Beijers R, Tollenaar MS, Pham H, Kee MZL, Garg E, de Mendonça Filho EJ, Karnani N, Silveira PP, Kobor MS, de Weerth C, Meaney MJ, O'Donnell KJ. Maternal Prenatal Anxiety and the Fetal Origins of Epigenetic Aging. Biological Psychiatry 2021, 91: 303-312. PMID: 34756561, DOI: 10.1016/j.biopsych.2021.07.025.Peer-Reviewed Original ResearchMeSH KeywordsAgingAnxietyChildDNA MethylationEpigenesis, GeneticEpigenomicsFemaleHumansMalePregnancyConceptsPrenatal maternal anxietyFetal originEpigenetic age accelerationMaternal anxietyAge accelerationPrenatal anxietyMental healthPrenatal maternal mental healthMaternal mental healthYears of ageGenetic risk factorsMonths of ageMental health supportMaternal prenatal anxietyRisk factorsLongitudinal cohortPrenatal adversityPregnant individualsLarge effect sizesLongitudinal assessmentHealth supportEffective mental health supportCohortPrenatal environmentLate childhoodInternalizing symptoms associate with the pace of epigenetic aging in childhood
Tollenaar MS, Beijers R, Garg E, Nguyen TTT, Lin DTS, MacIsaac JL, Shalev I, Kobor MS, Meaney MJ, O'Donnell KJ, de Weerth C. Internalizing symptoms associate with the pace of epigenetic aging in childhood. Biological Psychology 2021, 159: 108021. PMID: 33460784, DOI: 10.1016/j.biopsycho.2021.108021.Peer-Reviewed Original ResearchMeSH KeywordsAgingChildChild, PreschoolDNA MethylationEpigenesis, GeneticEpigenomicsFemaleHumansLongitudinal StudiesConceptsAdvanced biological agingChildhood psychiatric symptomsAge 6Longitudinal cohort studyInternalizing symptomsBiological agingChild mental healthCohort studyBuccal epithelial cellsPsychiatric symptomsSymptomsMental healthEpithelial cellsInternalizing disordersStatistical significanceAge 2.5Highest EAAExternalizing symptomsChildhoodEpigenetic agingHorvath clockGenome-wide DNA methylationEAA
2019
Biological embedding of experience: A primer on epigenetics
Aristizabal MJ, Anreiter I, Halldorsdottir T, Odgers CL, McDade TW, Goldenberg A, Mostafavi S, Kobor MS, Binder EB, Sokolowski MB, O'Donnell KJ. Biological embedding of experience: A primer on epigenetics. Proceedings Of The National Academy Of Sciences Of The United States Of America 2019, 117: 23261-23269. PMID: 31624126, PMCID: PMC7519272, DOI: 10.1073/pnas.1820838116.BooksConceptsEpigenetic mechanismsSpecific epigenetic mechanismsEpigenetic landscapeEpigenome editingDNA sequencesBiological embeddingGene expressionBiological processesCell typesComparative animalHuman longitudinal studiesMolecular profilingPotential roleCorrelative dataEpigenomeGenomeRecent advancesEpigeneticsEditingProfilingCausal dataPrimersMechanismSequenceExpressionIntegrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns
Czamara D, Eraslan G, Page CM, Lahti J, Lahti-Pulkkinen M, Hämäläinen E, Kajantie E, Laivuori H, Villa PM, Reynolds RM, Nystad W, Håberg SE, London SJ, O’Donnell K, Garg E, Meaney MJ, Entringer S, Wadhwa PD, Buss C, Jones MJ, Lin DTS, MacIsaac JL, Kobor MS, Koen N, Zar HJ, Koenen KC, Dalvie S, Stein DJ, Kondofersky I, Müller NS, Theis FJ, Räikkönen K, Binder E. Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns. Nature Communications 2019, 10: 2548. PMID: 31186427, PMCID: PMC6559955, DOI: 10.1038/s41467-019-10461-0.Peer-Reviewed Original ResearchConceptsDNA methylationEnvironmental factorsCellular functionsEpigenetic processesCord blood DNA methylationBlood DNA methylationMethylationGenetic variantsGenetic contributionIntegrated analysisPrenatal environmental factorsComplex disorderGenetic influencesGxE modelsGenotypesGWASRelative contributionGxEIndependent cohortCpGDisease riskEnrichmentVariantsDynamic DNA methylation changes in the maternal oxytocin gene locus (OXT) during pregnancy predict postpartum maternal intrusiveness
Toepfer P, O'Donnell KJ, Entringer S, Garg E, Heim CM, Lin DTS, MacIsaac JL, Kobor MS, Meaney MJ, Provençal N, Binder EB, Wadhwa PD, Buss C. Dynamic DNA methylation changes in the maternal oxytocin gene locus (OXT) during pregnancy predict postpartum maternal intrusiveness. Psychoneuroendocrinology 2019, 103: 156-162. PMID: 30690225, PMCID: PMC6554513, DOI: 10.1016/j.psyneuen.2019.01.013.Peer-Reviewed Original ResearchConceptsLate pregnancyMaternal behaviorMonths postpartumEarly postnatal developmentNovel potential biomarkersRace/ethnicityPregnancy inducesPeripheral bloodPregnancyMother-child dyadsPostnatal maternal behaviourPostnatal developmentPotential biomarkersSteroid hormonesDNA methylationSocioeconomic statusWhole bloodPromoter DNA methylationMother-child interactionPostpartumBloodDNA methylation changesOxytocinDNAm trajectoriesMaternal intrusiveness
2018
The early care environment and DNA methylome variation in childhood
Garg E, Chen L, Nguyen TTT, Pokhvisneva I, Chen LM, Unternaehrer E, MacIsaac JL, McEwen LM, Mah SM, Gaudreau H, Levitan R, Moss E, Sokolowski MB, Kennedy JL, Steiner MS, Meaney MJ, Holbrook JD, Silveira PP, Karnani N, Kobor MS, O'Donnell KJ. The early care environment and DNA methylome variation in childhood. Development And Psychopathology 2018, 30: 891-903. PMID: 30068421, DOI: 10.1017/s0954579418000627.Peer-Reviewed Original ResearchConceptsGenome-wide DNA methylationDNA methylationGenetic variationGenetic dataEarly care environmentsMethylome variationInfant attachment styleInfant attachmentEpigenetic modificationsAttachment styleBuccal epithelial samplesMethylationMolecular signaturesPrenatal adversityGenetic contributionInfant developmentChild genetic variationInfant cognitive developmentDisorganized attachment styleLater mental health problemsNegative effectsEarly intervention programsChild mental healthMental health problemsCognitive developmentDNA methylome variation in a perinatal nurse-visitation program that reduces child maltreatment: a 27-year follow-up
O’Donnell K, Chen L, MacIsaac JL, McEwen LM, Nguyen T, Beckmann K, Zhu Y, Chen LM, Brooks-Gunn J, Goldman D, Grigorenko EL, Leckman JF, Diorio J, Karnani N, Olds DL, Holbrook JD, Kobor MS, Meaney MJ. DNA methylome variation in a perinatal nurse-visitation program that reduces child maltreatment: a 27-year follow-up. Translational Psychiatry 2018, 8: 15. PMID: 29317599, PMCID: PMC5802588, DOI: 10.1038/s41398-017-0063-9.Peer-Reviewed Original ResearchConceptsNurse-Family PartnershipIntervention programsProspective longitudinal studyYears of ageMajor psychiatric disordersAge 27 yearsChild maltreatmentPsychosocial intervention programEarly intervention programsLifestyle factorsIntervention groupBlood samplesPsychiatric disordersAdult offspringDiagnostic InterviewChildhood adversityNFP programInterindividual variationLongitudinal studyComponent scoresSustained impactAbuse/neglectDNA methylationFamily partnershipsDNA methylomeAgreement in DNA methylation levels from the Illumina 450K array across batches, tissues, and time
Forest M, O'Donnell KJ, Voisin G, Gaudreau H, MacIsaac JL, McEwen LM, Silveira PP, Steiner M, Kobor MS, Meaney MJ, Greenwood CMT. Agreement in DNA methylation levels from the Illumina 450K array across batches, tissues, and time. Epigenetics 2018, 13: 19-32. PMID: 29381404, PMCID: PMC5837078, DOI: 10.1080/15592294.2017.1411443.Peer-Reviewed Original ResearchBrain-Derived Neurotrophic FactorCanadaCatechol O-MethyltransferaseDNA MethylationDried Blood Spot TestingEpigenesis, GeneticFemaleHumansMaleMouth MucosaNetherlandsOligonucleotide Array Sequence AnalysisReceptors, Dopamine D2Receptors, Dopamine D4Receptors, OxytocinReproducibility of ResultsSerotonin Plasma Membrane Transport ProteinsTime Factors
2015
funtooNorm: an R package for normalization of DNA methylation data when there are multiple cell or tissue types
Oros Klein K, Grinek S, Bernatsky S, Bouchard L, Ciampi A, Colmegna I, Fortin JP, Gao L, Hivert MF, Hudson M, Kobor MS, Labbe A, MacIsaac JL, Meaney MJ, Morin AM, O'Donnell KJ, Pastinen T, Van Ijzendoorn MH, Voisin G, Greenwood CM. funtooNorm: an R package for normalization of DNA methylation data when there are multiple cell or tissue types. Bioinformatics 2015, 32: 593-595. PMID: 26500152, PMCID: PMC4743629, DOI: 10.1093/bioinformatics/btv615.Peer-Reviewed Original ResearchConceptsMethylation patternsIllumina Infinium Human Methylation450 BeadChipDNA methylation patternsBenefits of cellsDNA methylation dataTissue typesR packageInter-tissue variabilityMethylation dataChromosome XCell typesNew R packageNormalization of dataMore cellsCellsMultiple cellsCross-validated errorBeadChipBioconductor