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
2018
Using DNA methylation to validate an electronic medical record phenotype for smoking
McGinnis KA, Justice AC, Tate JP, Kranzler HR, Tindle HA, Becker WC, Concato J, Gelernter J, Li B, Zhang X, Zhao H, Crothers K, Xu K, Group F. Using DNA methylation to validate an electronic medical record phenotype for smoking. Addiction Biology 2018, 24: 1056-1065. PMID: 30284751, PMCID: PMC6541538, DOI: 10.1111/adb.12670.Peer-Reviewed Original ResearchConceptsVeterans Aging Cohort StudyAging Cohort StudyStrong associationDNA methylation sitesSmoking metricsCohort studyCurrent smokingSmoking statusSpearman correlation coefficientBiomarker cohortBlood samplesSmoking behaviorCriterion standardLogistic regressionSmokingSmoking phenotypesCurve analysisGroup assignmentText notesAssociationDescriptive statisticsPhenotypeCorrelation coefficientGenetic discoveriesPercent