2023
Identifying genetic loci and phenomic associations of substance use traits: A multi‐trait analysis of GWAS (MTAG) study
Xu H, Toikumo S, Crist R, Glogowska K, Jinwala Z, Deak J, Justice A, Gelernter J, Johnson E, Kranzler H, Kember R. Identifying genetic loci and phenomic associations of substance use traits: A multi‐trait analysis of GWAS (MTAG) study. Addiction 2023, 118: 1942-1952. PMID: 37156939, PMCID: PMC10754226, DOI: 10.1111/add.16229.Peer-Reviewed Original ResearchMeSH KeywordsAlcoholismGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPhenomicsPhenotypePolymorphism, Single NucleotideConceptsGenome-wide association studiesSignificant single nucleotide polymorphismsSubstance use traitsMulti-trait analysisAssociation studiesGenetic architectureUse traitsGenome-wide significant single nucleotide polymorphismsProtein-protein interaction analysisTrait genetic architectureNumber of lociPolygenic risk scoresEuropean ancestry individualsNovel lociSingle nucleotide polymorphismsGenetic lociGWAS studiesLociMultiple related phenotypesNucleotide polymorphismsRelated phenotypesTraitsNovel associationsMTAgBiobank samplesMulti-trait genome-wide association analyses leveraging alcohol use disorder findings identify novel loci for smoking behaviors in the Million Veteran Program
Cheng Y, Dao C, Zhou H, Li B, Kember R, Toikumo S, Zhao H, Gelernter J, Kranzler H, Justice A, Xu K. Multi-trait genome-wide association analyses leveraging alcohol use disorder findings identify novel loci for smoking behaviors in the Million Veteran Program. Translational Psychiatry 2023, 13: 148. PMID: 37147289, PMCID: PMC10162964, DOI: 10.1038/s41398-023-02409-2.Peer-Reviewed Original ResearchMeSH KeywordsAlcohol DrinkingAlcoholismGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPhenotypePolymorphism, Single NucleotideSmokingVeteransConceptsSingle-trait genome-wide association studiesGenome-wide association studiesNovel lociPower of GWASJoint genome-wide association studyGenome-wide significant lociMillion Veteran ProgramGenome-wide associationSubstance use traitsGWAS summary statisticsNovel genetic variantsMulti-trait analysisFunctional annotationUse traitsSignificant lociHeritable traitMultiple lociAssociation studiesColocalization analysisLociPleiotropic effectsMTAgVeteran ProgramGenetic variantsTraits
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 ResearchMeSH KeywordsAlcoholismBlack PeopleFurinGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansOpioid-Related DisordersPhenotypePolymorphism, Single NucleotideWhite PeopleConceptsGenome-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 oneIncorporating local ancestry improves identification of ancestry-associated methylation signatures and meQTLs in African Americans
Li B, Aouizerat BE, Cheng Y, Anastos K, Justice AC, Zhao H, Xu K. Incorporating local ancestry improves identification of ancestry-associated methylation signatures and meQTLs in African Americans. Communications Biology 2022, 5: 401. PMID: 35488087, PMCID: PMC9054854, DOI: 10.1038/s42003-022-03353-5.Peer-Reviewed Original ResearchBlack or African AmericanBlack PeopleDNA MethylationHumansPolymorphism, Single NucleotideQuantitative Trait LociUnited States
2020
Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals
Xu K, Li B, McGinnis KA, Vickers-Smith R, Dao C, Sun N, Kember RL, Zhou H, Becker WC, Gelernter J, Kranzler HR, Zhao H, Justice AC. Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals. Nature Communications 2020, 11: 5302. PMID: 33082346, PMCID: PMC7598939, DOI: 10.1038/s41467-020-18489-3.Peer-Reviewed Original ResearchMeSH KeywordsBlack or African AmericanCohort StudiesFemaleGenome-Wide Association StudyHispanic or LatinoHumansLongitudinal StudiesMaleMiddle AgedPolymorphism, Single NucleotideQuantitative Trait LociSmokingWhite PeopleConceptsGenome-wide association studiesLarge genome-wide association studiesMillion Veteran ProgramAssociation studiesExpression quantitative trait lociQuantitative trait lociChromatin interactionsComplex traitsFunctional annotationTrait lociSequencing ConsortiumDozen genesSignificant lociSmoking phenotypesLociMultiple populationsNew insightsPhenotypeVeteran ProgramGenetic vulnerabilityGenesTraitsAnnotationEuropean AmericansConsortium
2019
Retrospective Association Analysis of Longitudinal Binary Traits Identifies Important Loci and Pathways in Cocaine Use
Wu W, Wang Z, Xu K, Zhang X, Amei A, Gelernter J, Zhao H, Justice AC, Wang Z. Retrospective Association Analysis of Longitudinal Binary Traits Identifies Important Loci and Pathways in Cocaine Use. Genetics 2019, 213: 1225-1236. PMID: 31591132, PMCID: PMC6893384, DOI: 10.1534/genetics.119.302598.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesAssociation analysisGenome-wide association analysisCase-control genome-wide association studyPhenotype model misspecificationImportant locusGenetic architectureComplex traitsGenetic association analysisGene mappingGenome scanPathway analysisAssociation studiesAxonal guidanceGenetic variantsBinary traitsAssociation TestElectronic health record-based studiesPathwayImportant pathwayLociTraitsPhenotype distributionLongitudinal phenotypesPhenotypeGenome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations
Kranzler HR, Zhou H, Kember RL, Vickers Smith R, Justice AC, Damrauer S, Tsao PS, Klarin D, Baras A, Reid J, Overton J, Rader DJ, Cheng Z, Tate JP, Becker WC, Concato J, Xu K, Polimanti R, Zhao H, Gelernter J. Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations. Nature Communications 2019, 10: 1499. PMID: 30940813, PMCID: PMC6445072, DOI: 10.1038/s41467-019-09480-8.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAlcohol DrinkingAlcoholismFemaleGenome-Wide Association StudyHumansLongitudinal StudiesMaleMiddle AgedMultifactorial InheritancePhenotypePolymorphism, Single NucleotideYoung AdultConceptsGenome-wide association studiesAssociation studiesMillion Veteran Program sampleGenetic correlationsWide significant lociSignificant genetic correlationsPolygenic risk scoresCell type groupSignificant lociHeritable traitEnrichment analysisTraitsMultiple populationsLociPhenotypeProgram samples
2018
AUDIT‐C and ICD codes as phenotypes for harmful alcohol use: association with ADH1B polymorphisms in two US populations
Justice AC, Smith RV, Tate JP, McGinnis K, Xu K, Becker WC, Lee K, Lynch K, Sun N, Concato J, Fiellin DA, Zhao H, Gelernter J, Kranzler HR, Program O. AUDIT‐C and ICD codes as phenotypes for harmful alcohol use: association with ADH1B polymorphisms in two US populations. Addiction 2018, 113: 2214-2224. PMID: 29972609, PMCID: PMC6226338, DOI: 10.1111/add.14374.Peer-Reviewed Original Research
2011
A polymorphism in the leptin gene promoter is associated with anemia in patients with HIV disease
Vanasse GJ, Jeong JY, Tate J, Bathulapalli H, Anderson D, Steen H, Fleming M, Mattocks K, Telenti A, Fellay J, Justice AC, Berliner N. A polymorphism in the leptin gene promoter is associated with anemia in patients with HIV disease. Blood 2011, 118: 5401-5408. PMID: 21926355, PMCID: PMC3217345, DOI: 10.1182/blood-2011-06-362194.Peer-Reviewed Original ResearchConceptsVeterans Aging Cohort StudyCombined antiretroviral therapyPrevalence of anemiaHIV diseaseSingle nucleotide polymorphismsModern combined antiretroviral therapyWorld Health Organization criteriaAging Cohort StudyA Single Nucleotide PolymorphismGene single nucleotide polymorphismsLeptin gene promoterHIV subjectsAntiretroviral therapyCohort studyHIV statusOrganization criteriaClinical dataIndependent cohortAnemiaHIVPatientsLeptin genePrevalenceDiseaseCandidate gene approach