2016
The role of genes involved in stress, neural plasticity, and brain circuitry in depressive phenotypes: Convergent findings in a mouse model of neglect
Montalvo-Ortiz JL, Bordner KA, Carlyle BC, Gelernter J, Simen AA, Kaufman J. The role of genes involved in stress, neural plasticity, and brain circuitry in depressive phenotypes: Convergent findings in a mouse model of neglect. Behavioural Brain Research 2016, 315: 71-74. PMID: 27506655, PMCID: PMC5396458, DOI: 10.1016/j.bbr.2016.08.010.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsDepressionDisease Models, AnimalGene Expression RegulationInhibitor of Differentiation ProteinsMaleMaternal DeprivationMaze LearningMiceMice, Inbred C57BLMice, Inbred DBAMicroarray AnalysisNerve Tissue ProteinsNeuronal PlasticityPrefrontal CortexReceptors, N-Methyl-D-AspartateRNA, MessengerStress, PsychologicalSwimmingConceptsTubulin Polymerization Promoting ProteinRole of genesGene expression dataEpigenetic changesGene expressionPhenotype dataExpression dataPrefrontal cortex tissueGenesSecondary analysisMedial prefrontal cortex (mPFC) tissueGlutamate NMDA receptorsAdult male miceId-3Early life stressPhenotypeSwimming testMale miceNMDA receptorsDepression riskMaternal separationMouse modelDepressive phenotypeBrain circuitryBehavioral differences
2014
Genetics of Complex Traits in Psychiatry
Gelernter J. Genetics of Complex Traits in Psychiatry. Biological Psychiatry 2014, 77: 36-42. PMID: 25444161, PMCID: PMC4282183, DOI: 10.1016/j.biopsych.2014.08.005.Peer-Reviewed Original ResearchConceptsComplex traitsNext-generation high-throughput sequencingGenome-wide association studiesHigh-throughput sequencingSingle nucleotide polymorphismsEpigenetic effectsRisk allelesAssociation studiesExpression dataMultiple risk allelesPsychiatric geneticsPsychiatric traitsNumber variantsNucleotide polymorphismsTraitsGeneticsNew mutationsTrait riskAllelesEpistasisMinor effectMethylationKind of variationVariantsSequencingGenetic risk prediction and neurobiological understanding of alcoholism
Levey DF, Le-Niculescu H, Frank J, Ayalew M, Jain N, Kirlin B, Learman R, Winiger E, Rodd Z, Shekhar A, Schork N, Kiefe F, Wodarz N, Müller-Myhsok B, Dahmen N, Nöthen M, Sherva R, Farrer L, Smith A, Kranzler H, Rietschel M, Gelernter J, Niculescu A. Genetic risk prediction and neurobiological understanding of alcoholism. Translational Psychiatry 2014, 4: e391-e391. PMID: 24844177, PMCID: PMC4035721, DOI: 10.1038/tp.2014.29.Peer-Reviewed Original ResearchConceptsTop candidate genesCandidate genesGenetic risk predictionGenome-wide association study dataFunctional genomics approachConvergent functional genomics approachAssociation study dataGene expression dataInitial discovery stepGenomic approachesKey genesSignal transductionSignificant genetic overlapTop genesRelevant genesBiological pathwaysExpression dataTop findingsGenesStrict Bonferroni correctionGenetic overlapProtein knockout miceSmall panelFatty acidsKnockout mice