2022
Unified epigenomic, transcriptomic, proteomic, and metabolomic taxonomy of Alzheimer’s disease progression and heterogeneity
Iturria-Medina Y, Adewale Q, Khan A, Ducharme S, Rosa-Neto P, O'Donnell K, Petyuk V, Gauthier S, De Jager P, Breitner J, Bennett D. Unified epigenomic, transcriptomic, proteomic, and metabolomic taxonomy of Alzheimer’s disease progression and heterogeneity. Science Advances 2022, 8: eabo6764. PMID: 36399579, PMCID: PMC9674284, DOI: 10.1126/sciadv.abo6764.Peer-Reviewed Original ResearchConceptsMolecular taxonomy of ADAlzheimer's diseaseMolecular dataAlzheimer's disease progressionGenetic variationDNA methylationPattern of alterationsAD dementia progressionAD variantsCell typesPostmortem brainsHeterogeneous disorderBiological domainSpatial pattern of alterationAlzheimerClinical heterogeneityTaxonomyAD subtypesMetabolomic profilesSpatial patternsMolecular indicesAdvanced machine learning analysisDisease progressionRNADNA
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 development
2016
The Drosophila foraging gene human orthologue PRKG1 predicts individual differences in the effects of early adversity on maternal sensitivity
Sokolowski HM, Vasquez OE, Unternaehrer E, Sokolowski DJ, Biergans SD, Atkinson L, Gonzalez A, Silveira PP, Levitan R, O’Donnell K, Steiner M, Kennedy J, Meaney MJ, Fleming AS, Sokolowski MB, teams O. The Drosophila foraging gene human orthologue PRKG1 predicts individual differences in the effects of early adversity on maternal sensitivity. Cognitive Development 2016, 42: 62-73. PMID: 28827895, PMCID: PMC5562168, DOI: 10.1016/j.cogdev.2016.11.001.Peer-Reviewed Original ResearchGenetic variationCGMP-dependent protein kinaseAdult fruit fliesForaging (for) geneSocial insectsFruit flyProtein kinaseDrosophilaGene-environment interactionsGenesAllelesInsectsEarly environmentKinasePRKG1GeneticsFliesAdult individual differencesSelf-reported childhood adversityVariationC alleleMaternal adversityAssociatesEarly life adversityRs2043556