Marco Galimberti
Associate Research ScientistAbout
Research
Publications
2025
Genetics of SSRI antidepressant use and relationship to psychiatric and medical traits
Levey D, Galimberti M, Deak J, Gupta P, Empke S, Adhikari K, Harrington K, Quaden R, Gaziano J, Program V, Stein M, Gelernter J. Genetics of SSRI antidepressant use and relationship to psychiatric and medical traits. Human Genetics And Genomics Advances 2025, 7: 100500. PMID: 40903904, DOI: 10.1016/j.xhgg.2025.100500.Peer-Reviewed Original ResearchGenome-wide association studiesMillion Veteran ProgramSSRI useX chromosomeMajor depressive disorderSerotonin reuptake inhibitorsSSRI antidepressant useIndividuals of European ancestryLinkage disequilibrium score regressionIndividuals of African ancestryDepressive disorderMajor depressionReuptake inhibitorsAnxiety symptomsPsychiatric traitsCognitive performanceSSRIsAntidepressant useLocus discoveryGenome-wideAssociation studiesGenomic varianceMDDUKB cohortVeteran ProgramMulti-ancestral genome-wide association study of clinically defined nicotine dependence reveals strong genetic correlations with other substance use disorders and health-related traits
Johnson E, Lai D, Balbona J, Miller A, Hatoum A, Deak J, Jennings M, Baranger D, Galimberti M, Sanichwankul K, Thorgeirsson T, Colbert S, Adhikari K, Docherty A, Degenhardt L, Edwards T, Fox L, Giannelis A, Jeffries P, Korhonen T, Morrison C, Nunez Y, Palviainen T, Su M, Villela P, Wetherill L, Willoughby E, Zellers S, Bierut L, Buchwald J, Copeland W, Corley R, Friedman N, Foroud T, Gillespie N, Gizer I, Heath A, Hickie I, Kaprio J, Keller M, Lee J, Lind P, Madden P, Maes H, Martin N, McGue M, Medland S, Nelson E, Pearson J, Porjesz B, Stallings M, Vrieze S, Wilhelmson K, Kranzler H, Walters R, Polimanti R, Malison R, Zhou H, Stefansson K, Sanchez-Roige S, Potenza M, Mutirangura A, Shotelersuk V, Kalayasiri R, Edenberg H, Gelernter J, Agrawal A. Multi-ancestral genome-wide association study of clinically defined nicotine dependence reveals strong genetic correlations with other substance use disorders and health-related traits. Psychological Medicine 2025, 55: e234. PMID: 40831304, PMCID: PMC12360691, DOI: 10.1017/s0033291725100883.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcoholismAsian PeopleBlack PeopleDiagnostic and Statistical Manual of Mental DisordersFemaleGenome-Wide Association StudyHumansMaleMiddle AgedNerve Tissue ProteinsPhenotypePolymorphism, Single NucleotideReceptors, NicotinicSubstance-Related DisordersTobacco Use DisorderWhite PeopleConceptsGenome-wide association studiesDiagnostic and Statistical ManualTobacco use disorderUse disorderNicotine dependenceAssociation studiesDiagnostic and Statistical Manual of Mental DisordersGenetic correlationsStatistical manual of mental disordersPolygenic scoresManual of mental disordersGenomic structural equation modelingCannabis use disorderNicotine-related phenotypesProblematic alcohol useSubstance use disordersNational Epidemiologic SurveyHealth-related traitsPositive genetic correlationIndividual diagnostic criteriaElectronic health recordsCriterion countsDSM-5Opioid use disorderPsychiatric disorders656. GENETIC INSIGHTS INTO CANNABIS USE AND USE DISORDER
Gelernter J, Levey D, Galimberti M, Bright U. 656. GENETIC INSIGHTS INTO CANNABIS USE AND USE DISORDER. The International Journal Of Neuropsychopharmacology 2025, 28: ii197-ii197. PMCID: PMC12359458, DOI: 10.1093/ijnp/pyaf052.398.Peer-Reviewed Original ResearchGenomic structural equation modelingMendelian randomizationUse disorderLinkage disequilibrium score regressionCannabis useGenetic architectureMillion Veteran ProgramAfrican ancestry participantsImpulsivity-related traitsCannabis use disorderSubstance use disordersProblematic alcohol useGenomewide association analysisComplex genetic architecturePattern of genetic correlationsSubstance use traitsAncestry participantsBidirectional causal effectsUK BiobankVeteran ProgramScore regressionOpioid use disorderPsychiatric disordersPsychiatric phenotypesStructural equation modelingA contextual genomic perspective on physical activity and its relationship to health, well being and illness
Galimberti M, Levey D, Deak J, Adhikari K, Overstreet C, Gupta P, Nitin R, Zhou H, Lake N, Harrington K, Djousse L, Davis L, Gaziano J, Stein M, Gelernter J. A contextual genomic perspective on physical activity and its relationship to health, well being and illness. Nature Genetics 2025, 57: 1860-1871. PMID: 40691405, PMCID: PMC12339386, DOI: 10.1038/s41588-025-02260-9.Peer-Reviewed Original ResearchConceptsLeisure-time PAPhysical activityLeisure-timeHealth benefitsIndividuals of European ancestryMendelian randomization analysisMillion Veteran ProgramUK Biobank dataLatin American ancestryHealth outcomesVeteran ProgramRandomization analysisBiobank dataRespiratory system diseasesLead variantsCOVID-19 hospitalizationCross-ancestryEuropean ancestryHealthMeta-analysisGenetic analysisAmerican ancestryAfrican ancestryCross-ancestry meta-analysisMetabolic traitsThe genetic relationship between cannabis use disorder, cannabis use and psychiatric disorders
Galimberti M, Overstreet C, Gupta P, Beck S, Dao C, Deak J, Zhou H, Johnson E, Agrawal A, Stein M, Levey D, Gelernter J. The genetic relationship between cannabis use disorder, cannabis use and psychiatric disorders. Nature Mental Health 2025, 3: 700-708. DOI: 10.1038/s44220-025-00440-4.Peer-Reviewed Original ResearchGenomic structural equation modelingCannabis use disorderCannabis usePsychiatric disordersUse disorderStructural equation modelingIncreased rates of psychiatric disordersIncreasing prevalence of cannabis useRates of psychiatric disordersPrevalence of cannabis useThree-factor modelEquation modelingDepressive disorderPsychiatric traitsCannabisLocal genetic correlationDisordersGenetic correlationsMendelian randomization analysisTraitsRandomization analysisSchizophreniaADHDColocalization analysisIncreased riskGenome-wide analyses identify 30 loci associated with obsessive–compulsive disorder
Strom N, Gerring Z, Galimberti M, Yu D, Halvorsen M, Abdellaoui A, Rodriguez-Fontenla C, Sealock J, Bigdeli T, Coleman J, Mahjani B, Thorp J, Bey K, Burton C, Luykx J, Zai G, Alemany S, Andre C, Askland K, Bäckman J, Banaj N, Barlassina C, Nissen J, Bienvenu O, Black D, Bloch M, Børte S, Bosch R, Breen M, Brennan B, Brentani H, Buxbaum J, Bybjerg-Grauholm J, Byrne E, Cabana-Dominguez J, Camarena B, Camarena A, Cappi C, Carracedo A, Casas M, Cavallini M, Ciullo V, Cook E, Crosby J, Cullen B, De Schipper E, Delorme R, Djurovic S, Elias J, Estivill X, Falkenstein M, Fundin B, Garner L, Gironda C, Goes F, Grados M, Grove J, Guo W, Haavik J, Hagen K, Harrington K, Havdahl A, Höffler K, Hounie A, Hucks D, Hultman C, Janecka M, Jenike E, Karlsson E, Kelley K, Klawohn J, Krasnow J, Krebs K, Lange C, Lanzagorta N, Levey D, Lindblad-Toh K, Macciardi F, Maher B, Mathes B, McArthur E, McGregor N, McLaughlin N, Meier S, Miguel E, Mulhern M, Nestadt P, Nurmi E, O’Connell K, Osiecki L, Ousdal O, Palviainen T, Pedersen N, Piras F, Piras F, Potluri S, Rabionet R, Ramirez A, Rauch S, Reichenberg A, Riddle M, Ripke S, Rosário M, Sampaio A, Schiele M, Skogholt A, Sloofman L, Smit J, Artigas M, Thomas L, Tifft E, Vallada H, van Kirk N, Veenstra-VanderWeele J, Vulink N, Walker C, Wang Y, Wendland J, Winsvold B, Yao Y, Zhou H, Agrawal A, Alonso P, Berberich G, Bucholz K, Bulik C, Cath D, Denys D, Eapen V, Edenberg H, Falkai P, Fernandez T, Fyer A, Gaziano J, Geller D, Grabe H, Greenberg B, Hanna G, Hickie I, Hougaard D, Kathmann N, Kennedy J, Lai D, Landén M, Hellard S, Leboyer M, Lochner C, McCracken J, Medland S, Mortensen P, Neale B, Nicolini H, Nordentoft M, Pato M, Pato C, Pauls D, Piacentini J, Pittenger C, Posthuma D, Ramos-Quiroga J, Rasmussen S, Richter M, Rosenberg D, Ruhrmann S, Samuels J, Sandin S, Sandor P, Spalletta G, Stein D, Stewart S, Storch E, Stranger B, Turiel M, Werge T, Andreassen O, Børglum A, Walitza S, Hveem K, Hansen B, Rück C, Martin N, Milani L, Mors O, Reichborn-Kjennerud T, Ribasés M, Kvale G, Mataix-Cols D, Domschke K, Grünblatt E, Wagner M, Zwart J, Breen G, Nestadt G, Kaprio J, Arnold P, Grice D, Knowles J, Ask H, Verweij K, Davis L, Smit D, Crowley J, Scharf J, Stein M, Gelernter J, Mathews C, Derks E, Mattheisen M. Genome-wide analyses identify 30 loci associated with obsessive–compulsive disorder. Nature Genetics 2025, 57: 1389-1401. PMID: 40360802, PMCID: PMC12165847, DOI: 10.1038/s41588-025-02189-z.Peer-Reviewed Original ResearchConceptsObsessive-compulsive disorderGenome-wide association studiesGenetic riskObsessive-compulsive disorder casesGenome-wide significant lociMedium spiny neuronsGenome-wide analysisMajor histocompatibility complexGene-based approachPsychiatric disordersSpiny neuronsTourette syndromeAnorexia nervosaSignificant lociEffector genesAssociation studiesAssociated with excitatory neuronsMultiple genesGenetic variantsAssociated with inflammatory bowel diseaseBody mass indexGenetic heritabilityDisordersExcitatory neuronsInflammatory bowel disease
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 surface
News
News
- July 21, 2025
Yale Study: Physical Activity and its Relationship to Health, Well-Being, and Illness
- June 09, 2025
Cannabis Use Disorder May Increase Risk for Certain Psychiatric Illnesses
- May 29, 2025Source: Nature Mental Health
The Genetic Relationship Between Cannabis Use Disorder, Cannabis Use and Psychiatric Disorders
- May 13, 2025Source: Nature Genetics
Genome-Wide Analyses Identify 30 Loci Associated with Obsessive–Compulsive Disorder