2022
Integrative PheWAS analysis in risk categorization of major depressive disorder and identifying their associations with genetic variants using a latent topic model approach
Meng X, Wang M, O’Donnell K, Caron J, Meaney MJ, Li Y. Integrative PheWAS analysis in risk categorization of major depressive disorder and identifying their associations with genetic variants using a latent topic model approach. Translational Psychiatry 2022, 12: 240. PMID: 35676267, PMCID: PMC9177831, DOI: 10.1038/s41398-022-02015-8.Peer-Reviewed Original ResearchConceptsMajor depressive disorderRisk of MDDDepressive disorderMDD subtypesMDD diagnosisRisk categorizationMajor public health problemLongitudinal community-based cohortCommunity-based cohortRisk prediction toolsGenetic variantsPublic health problemPrevalent mental disordersRisk prediction modelMDD cohortMDD patientsGenetic predispositionHealth problemsEarly identificationMental disordersMDD casesPotential genetic variantsDisordersCohortSubtypes
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
2018
PRS-on-Spark (PRSoS): a novel, efficient and flexible approach for generating polygenic risk scores
Chen LM, Yao N, Garg E, Zhu Y, Nguyen TTT, Pokhvisneva I, Hari Dass SA, Unternaehrer E, Gaudreau H, Forest M, McEwen LM, MacIsaac JL, Kobor MS, Greenwood CMT, Silveira PP, Meaney MJ, O’Donnell K. PRS-on-Spark (PRSoS): a novel, efficient and flexible approach for generating polygenic risk scores. BMC Bioinformatics 2018, 19: 295. PMID: 30089455, PMCID: PMC6083617, DOI: 10.1186/s12859-018-2289-9.Peer-Reviewed Original Research