Featured Publications
Widespread signatures of positive selection in common risk alleles associated to autism spectrum disorder
Polimanti R, Gelernter J. Widespread signatures of positive selection in common risk alleles associated to autism spectrum disorder. PLOS Genetics 2017, 13: e1006618. PMID: 28187187, PMCID: PMC5328401, DOI: 10.1371/journal.pgen.1006618.Peer-Reviewed Original ResearchMeSH KeywordsAllelesAttention Deficit Disorder with HyperactivityAutism Spectrum DisorderBipolar DisorderBrainComputational BiologyDepressive Disorder, MajorGene Expression ProfilingGene OntologyGene Regulatory NetworksGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsHumansPituitary GlandPolymorphism, Single NucleotideRisk FactorsSchizophreniaTranscriptomeConceptsPositive selectionGene Ontology enrichmentGene expression enrichmentPrevious genetic studiesGWAS summary statisticsNervous system developmentCommon risk allelesPsychiatric Genomics ConsortiumSystems geneticsOntology enrichmentRisk allelesSynapse organizationWidespread signaturesEvolutionary processesGenetic studiesGenomics ConsortiumGWASHuman evolutionAllelesIncomplete selectionEffect directionMinor alleleComplete selectionEnrichmentSummary statistics
2022
Exploring the genetic overlap between twelve psychiatric disorders
Romero C, Werme J, Jansen P, Gelernter J, Stein M, Levey D, Polimanti R, de Leeuw C, Posthuma D, Nagel M, van der Sluis S. Exploring the genetic overlap between twelve psychiatric disorders. Nature Genetics 2022, 54: 1795-1802. PMID: 36471075, DOI: 10.1038/s41588-022-01245-2.Peer-Reviewed Original ResearchConceptsSingle nucleotide polymorphismsPleiotropic single nucleotide polymorphismsPositive genetic correlationStringent P-value thresholdGenetic architectureGenomic regionsGenetic covarianceBiological processesBiological pathwaysMolecular characterizationObserved phenotypicGenetic correlationsGenetic overlapBiological characterizationBiological mechanismsP-value thresholdOnly annotationGenesPleiotropicPairwise comparisonsPhenotypicPathwayAnnotationPolymorphismCharacterization
2021
The relationship between cannabis and schizophrenia: a genetically informed perspective
Johnson EC, Hatoum AS, Deak JD, Polimanti R, Murray RM, Edenberg HJ, Gelernter J, Di Forti M, Agrawal A. The relationship between cannabis and schizophrenia: a genetically informed perspective. Addiction 2021, 116: 3227-3234. PMID: 33950550, PMCID: PMC8492483, DOI: 10.1111/add.15534.Peer-Reviewed Original ResearchPosttraumatic stress disorder: from gene discovery to disease biology
Polimanti R, Wendt FR. Posttraumatic stress disorder: from gene discovery to disease biology. Psychological Medicine 2021, 51: 2178-2188. PMID: 33583458, PMCID: PMC8364573, DOI: 10.1017/s0033291721000210.Peer-Reviewed Original ResearchConceptsGenome-wide associationEpigenome-wide associationComplex traitsGene discoveryAncestral diversityMorphological similarityHeritable riskDisease biologyDiverse numberBiologyWide arrayTranscriptomicsCertain traumatic eventsTraitsDiversityComplex mental disorderHighest conditional riskPopulationFuture studiesDiscovery
2020
Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium
Polimanti R, Walters RK, Johnson EC, McClintick JN, Adkins AE, Adkins DE, Bacanu SA, Bierut LJ, Bigdeli TB, Brown S, Bucholz KK, Copeland WE, Costello EJ, Degenhardt L, Farrer LA, Foroud TM, Fox L, Goate AM, Grucza R, Hack LM, Hancock DB, Hartz SM, Heath AC, Hewitt JK, Hopfer CJ, Johnson EO, Kendler KS, Kranzler HR, Krauter K, Lai D, Madden PAF, Martin NG, Maes HH, Nelson EC, Peterson RE, Porjesz B, Riley BP, Saccone N, Stallings M, Wall TL, Webb BT, Wetherill L, Edenberg H, Agrawal A, Gelernter J. Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium. Molecular Psychiatry 2020, 25: 1673-1687. PMID: 32099098, PMCID: PMC7392789, DOI: 10.1038/s41380-020-0677-9.Peer-Reviewed Original Research
2019
Evidence of causal effect of major depression on alcohol dependence: findings from the psychiatric genomics consortium
Polimanti R, Peterson RE, Ong JS, MacGregor S, Edwards AC, Clarke TK, Frank J, Gerring Z, Gillespie NA, Lind PA, Maes HH, Martin NG, Mbarek H, Medland SE, Streit F, Agrawal A, Edenberg H, Kendler K, Lewis C, Sullivan P, Wray N, Gelernter J, Derks E. Evidence of causal effect of major depression on alcohol dependence: findings from the psychiatric genomics consortium. Psychological Medicine 2019, 49: 1218-1226. PMID: 30929657, PMCID: PMC6565601, DOI: 10.1017/s0033291719000667.Peer-Reviewed Original ResearchConceptsMajor depressionAlcohol dependenceAlcohol consumptionPsychiatric Genomics ConsortiumImportant public health concernMendelian randomizationPublic health concernUK BiobankClinical associationsHealth concernMR analysisReverse causationCausal roleNon-significant resultsCausal relationshipGenetic liabilityGenomics ConsortiumLinkage disequilibrium score regressionIntervention efforts
2015
Genetic diversity of disease-associated loci in Turkish population
Karaca S, Cesuroglu T, Karaca M, Erge S, Polimanti R. Genetic diversity of disease-associated loci in Turkish population. Journal Of Human Genetics 2015, 60: 193-198. PMID: 25716910, DOI: 10.1038/jhg.2015.8.Peer-Reviewed Original ResearchConceptsHealth-related traitsGenetic diversityNon-European ancestryHuman genetic variationDisease-associated lociGenetic structureComplex traitsGenetic variationTraitsEuropean individualsGenesEast populationDiversityGenetic featuresAncestryPolygenic scoresMiddle East populationLociPopulationPeculiar genetic featuresGenetic predispositionHuman groupsLarge numberTurkish populationLast finding