Marco Galimberti
Postdoctoral AssociateAbout
Research
Publications
2024
T4. RELATIONSHIP OF GENETICALLY-INDEXED PHYSICAL ACTIVITY WITH MENTAL DISORDERS
Galimberti M, Gupta P, Deak J, Dao C, Nitin R, Zhou H, Harrington K, Na P, Topiwala A, Davis L, Gaziano M, Levey D, Stein M, Gelernter J. T4. RELATIONSHIP OF GENETICALLY-INDEXED PHYSICAL ACTIVITY WITH MENTAL DISORDERS. European Neuropsychopharmacology 2024, 87: 157-158. DOI: 10.1016/j.euroneuro.2024.08.314.Peer-Reviewed Original ResearchProtective effect of PAMental health traitsMillion Veteran ProgramEffects of PAGenome-wide association studiesPhysical activityLocal genetic correlationAlcohol consumptionPosttraumatic stress disorderSmoking initiationLeisure time PARelationship of PAUse disorderMental health outcomesPsychiatric disordersSelf-reported informationSubstance useAttention-deficit/hyperactivity disorderGenetic correlation analysisLocal genetic correlation analysisTime PAGenome-wide association study statisticsHealth traitsMR analysisResults PAA genome-wide investigation into the underlying genetic architecture of personality traits and overlap with psychopathology
Gupta P, Galimberti M, Liu Y, Beck S, Wingo A, Wingo T, Adhikari K, Kranzler H, Stein M, Gelernter J, Levey D. A genome-wide investigation into the underlying genetic architecture of personality traits and overlap with psychopathology. Nature Human Behaviour 2024, 8: 2235-2249. PMID: 39134740, PMCID: PMC11576509, DOI: 10.1038/s41562-024-01951-3.Peer-Reviewed Original ResearchPersonality traitsPsychiatric traitsBidirectional effectsGenetic architectureHuman personality traitsGenetic correlation analysisGene-based association testsGenome-wide significant lociNeuroticismAgreeablenessGenome-wide association studiesGenome-wide association study meta-analysisMental illnessGenome-wide investigationAssociation TestComplex human traitsProteome-wide analysisAnxietyDepressionExtraversionConscientiousnessExpression of genesNovel lociSignificant lociTranscriptome-wideInference of Locus-Specific Population Mixtures from Linked Genome-Wide Allele Frequencies
Reyna-Blanco C, Caduff M, Galimberti M, Leuenberger C, Wegmann D. Inference of Locus-Specific Population Mixtures from Linked Genome-Wide Allele Frequencies. Molecular Biology And Evolution 2024, 41: msae137. PMID: 38958167, PMCID: PMC11255385, DOI: 10.1093/molbev/msae137.Peer-Reviewed Original ResearchGenome-wide allele frequency dataGenome-wide allele frequenciesPresence of gene flowAllele frequency dataIntrogressed lociAdmixture graphsGene flowDivergent populationsDemographic scenariosPopulation splitsEvolutionary dynamicsAllele frequenciesBranch lengthsGenetic materialTreeMixPopulation mixtureF-statisticsGenomeLinkageLociFrequency dataSpeciesAdmixtureRecombinationCurrent modelsGenome-wide association study of the common retinal disorder epiretinal membrane: Significant risk loci in each of three American populations
Gelernter J, Levey D, Galimberti M, Harrington K, Zhou H, Adhikari K, Gupta P, Program V, Gaziano J, Eliott D, Stein M. Genome-wide association study of the common retinal disorder epiretinal membrane: Significant risk loci in each of three American populations. Cell Genomics 2024, 4: 100582. PMID: 38870908, PMCID: PMC11228954, DOI: 10.1016/j.xgen.2024.100582.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesMillion Veteran ProgramRisk lociAssociation studiesTrans-ancestry meta-analysisSignificant risk lociPathway enrichment analysisEpiretinal membraneTrans-ancestryGenome-wideMultiple traitsGenetic associationEnrichment analysisGene expressionEuropean AmericansLoss of visual acuityVeteran ProgramGenetic correlationsLociBiological mechanismsAmerican populationVisual acuityRetinal conditionsControl individualsRetinal surfaceGenetic influences and causal pathways shared between cannabis use disorder and other substance use traits
Galimberti M, Levey D, Deak J, Zhou H, Stein M, Gelernter J. Genetic influences and causal pathways shared between cannabis use disorder and other substance use traits. Molecular Psychiatry 2024, 29: 2905-2910. PMID: 38580809, PMCID: PMC11419938, DOI: 10.1038/s41380-024-02548-y.Peer-Reviewed Original ResearchSubstance use disordersProblematic alcohol useSubstance use traitsCannabis use disorderCannabis useOpioid use disorderUse disorderGenomic structural equation modelingSmoking initiationLifetime cannabis useLegalization of cannabis useGlobal genetic correlationsProblematic substance useStructural equation modelingNicotine dependenceGenetic influencesCannabisSubstance useFagerstrom TestAlcohol useMendelian randomizationBidirectional relationshipGenetic correlationsDisordersSmoking cessation
2023
Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals
Zhou H, Kember R, Deak J, Xu H, Toikumo S, Yuan K, Lind P, Farajzadeh L, Wang L, Hatoum A, Johnson J, Lee H, Mallard T, Xu J, Johnston K, Johnson E, Nielsen T, Galimberti M, Dao C, Levey D, Overstreet C, Byrne E, Gillespie N, Gordon S, Hickie I, Whitfield J, Xu K, Zhao H, Huckins L, Davis L, Sanchez-Roige S, Madden P, Heath A, Medland S, Martin N, Ge T, Smoller J, Hougaard D, Børglum A, Demontis D, Krystal J, Gaziano J, Edenberg H, Agrawal A, Justice A, Stein M, Kranzler H, Gelernter J. Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals. Nature Medicine 2023, 29: 3184-3192. PMID: 38062264, PMCID: PMC10719093, DOI: 10.1038/s41591-023-02653-5.Peer-Reviewed Original Research
News
News
- August 15, 2024
A Genome-Wide Investigation Into the Underlying Genetic Architecture of Personality Traits and Overlap with Psychopathology
- June 12, 2024
YSM, VA Researchers Complete First Genome-Wide Association Study of Epiretinal Membrane
- April 05, 2024Source: Molecular Psychiatry
Genetic Influences and Causal Pathways Shared Between Cannabis Use Disorder and Other Substance Use Traits
- December 07, 2023
VA/Yale Researchers Lead Multi-ancestry Study of Genetics of Problematic Alcohol Use