Joel Gelernter, MD
Foundations Fund Professor of Psychiatry and Professor of Genetics and of NeuroscienceDownloadHi-Res Photo
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Appointments
Psychiatry
Primary
Genetics
Secondary
Additional Titles
Director, Division of Human Genetics (Psychiatry)
Contact Info
Psychiatry
VA CT Healthcare Center S116A2, 950 Campbell Avenue
West Haven, CT 06516
United States
Appointments
Psychiatry
Primary
Genetics
Secondary
Additional Titles
Director, Division of Human Genetics (Psychiatry)
Contact Info
Psychiatry
VA CT Healthcare Center S116A2, 950 Campbell Avenue
West Haven, CT 06516
United States
Appointments
Psychiatry
Primary
Genetics
Secondary
Additional Titles
Director, Division of Human Genetics (Psychiatry)
Contact Info
Psychiatry
VA CT Healthcare Center S116A2, 950 Campbell Avenue
West Haven, CT 06516
United States
About
Titles
Foundations Fund Professor of Psychiatry and Professor of Genetics and of Neuroscience
Director, Division of Human Genetics (Psychiatry)
Biography
Joel Gelernter, MD, is Foundations Fund Professor of Psychiatry and Professor of Genetics and Neurobiology; and Director, Division of Human Genetics (Psychiatry), at the Yale University School of Medicine.
The research focus of his laboratory is genetics of psychiatric illness – phenotypes including cocaine, opioid, nicotine, cannabis, and alcohol dependence, posttraumatic stress disorder (PTSD), depression, and panic and other anxiety disorders. He also studies a range of related phenotypes, including pharmacogenomics; and basic issues in population and complex trait genetics. The overall approach involves study of genetic polymorphism and sequence variation, on a molecular level and from the perspective of population genetics. Dr Gelernter’s laboratory published genomewide association studies (GWAS) for cocaine, cannabis, and opioid dependence, PTSD, alcohol dependence, nicotine dependence, and several related traits. All of these studies have resulted in the identification of novel risk loci.
Appointments
Psychiatry
ProfessorPrimaryGenetics
ProfessorSecondaryNeuroscience
ProfessorSecondary
Other Departments & Organizations
- Division of Neurocognition, Neurocomputation & Neurogenetics
- Center for Biomedical Data Science
- Center for the Translational Neuroscience of Alcohol
- Computational Biology and Biomedical Informatics
- Division of Human Genetics
- Gelernter Lab
- Genetics
- Global Health Studies
- Molecular Cell Biology, Genetics and Development
- Neuroscience
- Neuroscience Research Training Program (NRTP)
- Office of Global Health Education
- Psychiatry
- Psychotherapy Development Center
- Stress & Addiction Clinical Research Program
- VA Alcohol Research Center
- VA-Yale Clinical Neurosciences PTSD Research Program
- Yale Center for Genomic Health
- Yale Center for the Science of Cannabis and Cannabinoids
- Yale Combined Program in the Biological and Biomedical Sciences (BBS)
- Yale Global Mental Health Program
- Yale Ventures
Education & Training
- Fellowship
- Psychiatric genetics, NIMH (1988)
- MD
- SUNY Downstate Medical Center (1983)
- BS
- Yale University, Music & Biology (1979)
Research
Overview
Medical Subject Headings (MeSH)
Affective Disorders, Psychotic; Alcoholism; Anxiety Disorders; China; Genetics; Genetics, Population; Global Health; Israel; Polymorphism, Genetic; Psychiatry; Stress Disorders, Post-Traumatic; Substance-Related Disorders; Thailand
ORCID
0000-0002-4067-1859- View Lab Website
Gelernter Lab
Research at a Glance
Yale Co-Authors
Frequent collaborators of Joel Gelernter's published research.
Publications Timeline
A big-picture view of Joel Gelernter's research output by year.
Research Interests
Research topics Joel Gelernter is interested in exploring.
Daniel F. Levey, PhD
John Krystal, MD
Hang Zhou, PhD
Renato Polimanti, PhD, MSc
Xingguang Luo, MD
Hongyu Zhao, PhD
615Publications
42,037Citations
Alcoholism
Substance-Related Disorders
Polymorphism, Genetic
Stress Disorders, Post-Traumatic
Anxiety Disorders
Genetics, Population
Publications
Featured Publications
Multi-ancestry genome-wide association study of cannabis use disorder yields insight into disease biology and public health implications
Levey D, Galimberti M, Deak J, Wendt F, Bhattacharya A, Koller D, Harrington K, Quaden R, Johnson E, Gupta P, Biradar M, Lam M, Cooke M, Rajagopal V, Empke S, Zhou H, Nunez Y, Kranzler H, Edenberg H, Agrawal A, Smoller J, Lencz T, Hougaard D, Børglum A, Demontis D, Gaziano J, Gandal M, Polimanti R, Stein M, Gelernter J. Multi-ancestry genome-wide association study of cannabis use disorder yields insight into disease biology and public health implications. Nature Genetics 2023, 55: 2094-2103. PMID: 37985822, PMCID: PMC10703690, DOI: 10.1038/s41588-023-01563-z.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsSingle nucleotide polymorphism-based heritabilityMulti-ancestry genome-wide association studyAssociation studiesMillion Veteran ProgramGenome-wide association studiesWide significant lociWide association studySignificant lociReference panelSmall populationDisease biologyAncestryAmerican ancestryHeritabilityVeteran ProgramNumerous medical comorbiditiesLung cancer riskRelationship analysisLociBiologyPublic health implicationsEast AsiansPublic health consequencesMedical comorbiditiesCigarette smokingGenome-wide association studies and cross-population meta-analyses investigating short and long sleep duration
Austin-Zimmerman I, Levey D, Giannakopoulou O, Deak J, Galimberti M, Adhikari K, Zhou H, Denaxas S, Irizar H, Kuchenbaecker K, McQuillin A, Concato J, Buysse D, Gaziano J, Gottlieb D, Polimanti R, Stein M, Bramon E, Gelernter J. Genome-wide association studies and cross-population meta-analyses investigating short and long sleep duration. Nature Communications 2023, 14: 6059. PMID: 37770476, PMCID: PMC10539313, DOI: 10.1038/s41467-023-41249-y.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsAssociation studiesGenome-wide association studiesGenetic correlationsWide association studyLinkage disequilibrium scorePositive genetic correlationSleep traitsIndependent lociMillion Veteran ProgramTraitsAncestryUK BiobankVeteran ProgramMendelian randomisationLociHeritabilitySNPsPhenotypeEast AsiansSimilar patternCardiometabolic phenotypesMulti-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 ResearchCitationsAltmetricGenetics of substance use disorders in the era of big data
Gelernter J, Polimanti R. Genetics of substance use disorders in the era of big data. Nature Reviews Genetics 2021, 22: 712-729. PMID: 34211176, PMCID: PMC9210391, DOI: 10.1038/s41576-021-00377-1.Peer-Reviewed Original ResearchCitationsAltmetricGenome-wide association study in individuals of European and African ancestry and multi-trait analysis of opioid use disorder identifies 19 independent genome-wide significant risk loci
Deak JD, Zhou H, Galimberti M, Levey DF, Wendt FR, Sanchez-Roige S, Hatoum AS, Johnson EC, Nunez YZ, Demontis D, Børglum AD, Rajagopal VM, Jennings MV, Kember RL, Justice AC, Edenberg HJ, Agrawal A, Polimanti R, Kranzler HR, Gelernter J. Genome-wide association study in individuals of European and African ancestry and multi-trait analysis of opioid use disorder identifies 19 independent genome-wide significant risk loci. Molecular Psychiatry 2022, 27: 3970-3979. PMID: 35879402, PMCID: PMC9718667, DOI: 10.1038/s41380-022-01709-1.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsGenome-wide association studiesGenome-wide significant risk lociAssociation studiesVariant associationsLarge-scale genome-wide association studiesGenetic correlationsSignificant risk lociPsychiatric Genomics ConsortiumMulti-trait analysisPolygenic risk score analysisSingle-variant associationsGWS lociGenetic architectureIndividuals of EuropeanGWS associationsRisk lociGene regionGenomics ConsortiumMillion Veteran ProgramSusceptibility lociAfrican ancestryLociRisk score analysisGenetic informativenessSNPs oneBi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directions
Levey DF, Stein MB, Wendt FR, Pathak GA, Zhou H, Aslan M, Quaden R, Harrington KM, Nuñez YZ, Overstreet C, Radhakrishnan K, Sanacora G, McIntosh AM, Shi J, Shringarpure SS, Concato J, Polimanti R, Gelernter J. Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directions. Nature Neuroscience 2021, 24: 954-963. PMID: 34045744, PMCID: PMC8404304, DOI: 10.1038/s41593-021-00860-2.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsTranscriptome-wide association studyMillion Veteran ProgramTranscriptome-wide association study (TWAS) analysisGenomic risk lociComplex psychiatric traitsGenetic architectureRisk lociGene expressionAssociation studiesLikely pathogenicityPsychiatric traitsVeteran ProgramNew therapeutic directionEuropean ancestryNew insightsAncestryUK BiobankAfrican ancestrySubstantial replicationExpressionLarge independent cohortsGWASTherapeutic directionsGenesLociGenome-wide association analyses of post-traumatic stress disorder and its symptom subdomains in the Million Veteran Program
Stein MB, Levey DF, Cheng Z, Wendt FR, Harrington K, Pathak GA, Cho K, Quaden R, Radhakrishnan K, Girgenti MJ, Ho YA, Posner D, Aslan M, Duman RS, Zhao H, Polimanti R, Concato J, Gelernter J. Genome-wide association analyses of post-traumatic stress disorder and its symptom subdomains in the Million Veteran Program. Nature Genetics 2021, 53: 174-184. PMID: 33510476, PMCID: PMC7972521, DOI: 10.1038/s41588-020-00767-x.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsGenome-wide association analysisAssociation analysisMillion Veteran ProgramGenomic structural equation modelingSignificant lociGenetic varianceGene expressionDrug repositioning candidatesBiological coherenceVeteran ProgramMultiple testing correctionSymptom phenotypeLociRepositioning candidatesAfrican ancestryHeritabilityPhenotypeAncestryExpressionPTSD symptom factorsRegionSubdomainsEnrichmentGenome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits
Zhou H, Sealock JM, Sanchez-Roige S, Clarke TK, Levey DF, Cheng Z, Li B, Polimanti R, Kember RL, Smith RV, Thygesen JH, Morgan MY, Atkinson SR, Thursz MR, Nyegaard M, Mattheisen M, Børglum AD, Johnson EC, Justice AC, Palmer AA, McQuillin A, Davis LK, Edenberg HJ, Agrawal A, Kranzler HR, Gelernter J. Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits. Nature Neuroscience 2020, 23: 809-818. PMID: 32451486, PMCID: PMC7485556, DOI: 10.1038/s41593-020-0643-5.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsRegulatory genomic regionsGenome-wide association studiesNovel risk lociEuropean ancestry individualsPolygenic risk score analysisIndependent risk variantsGenetic architectureGenomic regionsRisk lociAssociation studiesGenetic relationshipsRisk genesGenetic correlationsPsychiatric traitsRisk variantsRisk score analysisTraitsGenetic heritabilityYields insightsBiobank samplesMendelian randomizationGenesLociBiologyHeritabilityGenome-wide association study of post-traumatic stress disorder reexperiencing symptoms in >165,000 US veterans
Gelernter J, Sun N, Polimanti R, Pietrzak R, Levey DF, Bryois J, Lu Q, Hu Y, Li B, Radhakrishnan K, Aslan M, Cheung KH, Li Y, Rajeevan N, Sayward F, Harrington K, Chen Q, Cho K, Pyarajan S, Sullivan PF, Quaden R, Shi Y, Hunter-Zinck H, Gaziano JM, Concato J, Zhao H, Stein MB. Genome-wide association study of post-traumatic stress disorder reexperiencing symptoms in >165,000 US veterans. Nature Neuroscience 2019, 22: 1394-1401. PMID: 31358989, PMCID: PMC6953633, DOI: 10.1038/s41593-019-0447-7.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsGenome-wide association studiesAssociation studiesHigh linkage disequilibrium regionLinkage disequilibrium regionWide association studyDisequilibrium regionBioinformatics analysisTranscriptomic profilesMillion Veteran ProgramChromosome 17Genetic risk factorsNew insightsUK Biobank dataReexperiencing of traumaStriatal medium spiny neuronsVeteran ProgramSignificant regionsCAMKVEuropean AmericansBiobank dataMedium spiny neuronsTCF4BiologyKANSL1African American cohortGenome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations
Kranzler HR, Zhou H, Kember RL, Vickers Smith R, Justice AC, Damrauer S, Tsao PS, Klarin D, Baras A, Reid J, Overton J, Rader DJ, Cheng Z, Tate JP, Becker WC, Concato J, Xu K, Polimanti R, Zhao H, Gelernter J. Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations. Nature Communications 2019, 10: 1499. PMID: 30940813, PMCID: PMC6445072, DOI: 10.1038/s41467-019-09480-8.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsGenome-wide association studiesAssociation studiesMillion Veteran Program sampleGenetic correlationsWide significant lociSignificant genetic correlationsPolygenic risk scoresCell type groupSignificant lociHeritable traitEnrichment analysisTraitsMultiple populationsLociPhenotypeProgram samples
Clinical Trials
Current Trials
Have you had COVID-19?
HIC ID2000033404RoleSub InvestigatorPrimary Completion Date08/31/2025Recruiting ParticipantsBrain Emotion Circuitry-Targeted Self-Monitoring and Regulation Therapy (BE-SMART)
HIC ID0407026910RoleSub InvestigatorPrimary Completion Date06/30/2022Recruiting ParticipantsGenderBothAge16 years - 24 years
Academic Achievements & Community Involvement
activity Substance use disorder genetics
ResearchDetails12/11/2013 - PresentTaipei, TaiwanAbstract/SynopsisDevelopment of Chinese SSADDA instrument; use in studies of ketamine and opioid dependence
News & Links
Media
- Levey et al Nat Neurosci. 2021 Jul;24(7):954-963.
News
- October 18, 2024Source: British Journal of Psychiatry
Genes in Context: Path to More Precise Risk Prediction in Psychiatry?
- August 27, 2024
Deak Receives Two Awards from National Institute on Drug Abuse
- August 15, 2024
A Genome-Wide Investigation Into the Underlying Genetic Architecture of Personality Traits and Overlap with Psychopathology
- August 15, 2024
Human Genetics and Epigenetics of Alcohol Use Disorder
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Psychiatry
VA CT Healthcare Center S116A2, 950 Campbell Avenue
West Haven, CT 06516
United States