2024
Pleiotropy and genetically inferred causality linking multisite chronic pain to substance use disorders
Koller D, Friligkou E, Stiltner B, Pathak G, Løkhammer S, Levey D, Zhou H, Hatoum A, Deak J, Kember R, Treur J, Kranzler H, Johnson E, Stein M, Gelernter J, Polimanti R. Pleiotropy and genetically inferred causality linking multisite chronic pain to substance use disorders. Molecular Psychiatry 2024, 1-10. PMID: 38355787, PMCID: PMC11324857, DOI: 10.1038/s41380-024-02446-3.Peer-Reviewed Original ResearchMultisite chronic painSubstance use disordersChronic painUK BiobankUse disorderMillion Veteran ProgramSNP-based heritabilityGenome-wide association statisticsMR analysisPotential causal relationshipVeteran ProgramPleiotropy analysisTobacco usePleiotropic variantsOpioid use disorderAssociation statisticsCannabis use disorderAlcohol use disorderMeta-analysesBrain-wide analysisImaging phenotypesBi-directional relationshipPainPleiotropyBiobank
2023
T18. GENETIC CONTRIBUTION TO THE COMORBIDITY BETWEEN ATTENTION-DEFICIT HYPERACTIVITY DISORDER AND SUBSTANCE USE DISORDERS
Koller D, Mitjans M, Kouakou M, Friligkou E, Mendoza B, Deak J, Pathak G, Kranzler H, Agrawal A, Corominas R, Demontis D, Gelernter J, Ribases M, Cormand B, Polimanti R. T18. GENETIC CONTRIBUTION TO THE COMORBIDITY BETWEEN ATTENTION-DEFICIT HYPERACTIVITY DISORDER AND SUBSTANCE USE DISORDERS. European Neuropsychopharmacology 2023, 75: s171. DOI: 10.1016/j.euroneuro.2023.08.306.Peer-Reviewed Original ResearchGenome-wide association statisticsPleiotropy analysisLinkage disequilibrium score regressionPairwise genetic correlationsGenetic correlation analysisDisequilibrium score regressionProblematic tobacco usePsychiatric Genomics ConsortiumGenetic architectureGenomic SEMGenetic mechanismsGenomics ConsortiumPathogenic lociPleiotropic variantsGenetic relationshipsMillion Veteran ProgramGenetic correlationsScore regressionGenetic contributionAssociation statisticsMolecular targetsBidirectional Mendelian randomization analysisEnvironmental factorsGenetic factorsDrug development