2023
9. THE GENETIC ARCHITECTURE OF PAIN INTENSITY IN THE MILLION VETERAN PROGRAM
Toikumo S, Vickers-Smith R, Jinwala Z, Xu H, Saini D, Hartwell E, Pavicic M, Sullivan K, Jacobson D, Cheatle M, Zhou H, Waxman S, Justice A, Kember R, Kranzler H. 9. THE GENETIC ARCHITECTURE OF PAIN INTENSITY IN THE MILLION VETERAN PROGRAM. European Neuropsychopharmacology 2023, 75: s60-s61. DOI: 10.1016/j.euroneuro.2023.08.120.Peer-Reviewed Original ResearchIndependent lociGenetic architectureMillion Veteran ProgramGenome-wide association testingIndependent genetic lociLinkage disequilibrium score regressionDrug-gene interaction databaseDisequilibrium score regressionNovel genetic variantsPotential drug targetsComplex traitsGWAS resultsCausal genesDruggable genomeDrug repurposing analysisGenetic lociDruggable genesInteraction databasesDrug targetsGenetic correlationsMolecular contributorsAssociation testingLociPsychiatric traitsScore regressionMULTI-ANCESTRY META-ANALYSIS OF TOBACCO USE DISORDERS PRIORITIZES NOVEL CANDIDATE RISK GENES AND REVEALS ASSOCIATIONS WITH NUMEROUS HEALTH OUTCOMES
Sanchez-Roige S, Toikumo S, Jennings M, Pham B, Lee H, Mallard T, Bianchi S, Meredith J, Smoller J, Davis L, Justice A, Kranzler H, Kember R, Sanchez-Roige S. MULTI-ANCESTRY META-ANALYSIS OF TOBACCO USE DISORDERS PRIORITIZES NOVEL CANDIDATE RISK GENES AND REVEALS ASSOCIATIONS WITH NUMEROUS HEALTH OUTCOMES. European Neuropsychopharmacology 2023, 75: s8-s9. DOI: 10.1016/j.euroneuro.2023.08.024.Peer-Reviewed Original ResearchTobacco use disorderUse disordersPrevalent substance use disordersSubstance use disordersRisk genesNumerous health outcomesHIV infectionHeart diseaseSmoking behaviorMedical outcomesGenome-wide association studiesNicotine consumptionHealth outcomesCandidate risk genesPotential risk genesGenetic factorsIndependent risk lociDisordersRisk variantsNovel candidate risk genesRisk lociOutcomesMajority of variantsFunctional genomics toolsPsychiatric traits
2020
Genome-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 ResearchConceptsRegulatory 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 randomizationGenesLociBiologyHeritability