2022
Polygenic risk score and peer victimisation independently predict depressive symptoms in adolescence: results from the Quebec Longitudinal Study of Children Development
Perret LC, Boivin M, Morneau‐Vaillancourt G, Andlauer TFM, Paquin S, Langevin S, Girard A, Turecki G, O'Donnell K, Tremblay RE, Côté SM, Gouin J, Ouellet‐Morin I, Geoffroy M. Polygenic risk score and peer victimisation independently predict depressive symptoms in adolescence: results from the Quebec Longitudinal Study of Children Development. Journal Of Child Psychology And Psychiatry 2022, 64: 388-396. PMID: 36124742, DOI: 10.1111/jcpp.13706.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultChildChild DevelopmentDepressionGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLongitudinal StudiesQuebecRisk FactorsConceptsDepressive symptomsGenetic predispositionQuebec Longitudinal StudyPolygenic risk scoresRisk scoreSelf-reported depressive symptomsLongitudinal studyIndividual genetic predispositionSuch gene-environment interactionsGene-environment interactionsSuch symptomsSymptomsDepressionChild developmentPredispositionAdolescencePeer victimisationFuture studiesEarly adolescenceScoresRiskAdolescentsAssociation
2021
DCC gene network in the prefrontal cortex is associated with total brain volume in childhood
Morgunova A, Pokhvisneva I, Nolvi S, Entringer S, Wadhwa P, Gilmore J, Styner M, Buss C, Sassi RB, Hall GBC, O'Donnell KJ, Meaney MJ, Silveira PP, Flores CA. DCC gene network in the prefrontal cortex is associated with total brain volume in childhood. Journal Of Psychiatry And Neuroscience 2021, 46: e154-e163. PMID: 33206040, PMCID: PMC7955849, DOI: 10.1503/jpn.200081.Peer-Reviewed Original ResearchConceptsTotal brain volumeExpression-based polygenic risk scoreBrain volumePrefrontal cortexSingle nucleotide polymorphismsHigher total brain volumeCommunity-based cohortChildren 1.5Polygenic risk scoresMaternal adversityRisk scoreIndependent cohortReplication cohortCohortCortexBrain developmentChildren 8Donor databaseSmall sample sizeEffect sizeReplication analysis
2019
A biologically-informed polygenic score identifies endophenotypes and clinical conditions associated with the insulin receptor function on specific brain regions
Dass S, McCracken K, Pokhvisneva I, Chen LM, Garg E, Nguyen TTT, Wang Z, Barth B, Yaqubi M, McEwen LM, MacIsaac JL, Diorio J, Kobor MS, O'Donnell KJ, Meaney MJ, Silveira PP. A biologically-informed polygenic score identifies endophenotypes and clinical conditions associated with the insulin receptor function on specific brain regions. EBioMedicine 2019, 42: 188-202. PMID: 30922963, PMCID: PMC6491717, DOI: 10.1016/j.ebiom.2019.03.051.Peer-Reviewed Original ResearchMeSH KeywordsBrainEndophenotypesFemaleGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksGenetic Association StudiesGenetic Predisposition to DiseaseGenome-Wide Association StudyHippocampusHumansMalePhenotypePolymorphism, Single NucleotideReceptor, InsulinReproducibility of ResultsConceptsCognitive performancePolygenic scoresRelated mental disordersChild impulsivityIndividual differencesSpecific brain regionsInhibitory controlNeurobiological mechanismsCommunity sampleBrain regionsConventional GWASMesocorticolimbic systemImpulsivityMental disordersPsychopathologyAddictionNeural functionEndophenotypesAlzheimer's diseaseScoresADHDDisordersMemoryFunctioningGenetic score