2023
MULTI-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
2022
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
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 ResearchConceptsGenome-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 one
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