2024
A phenome-wide association and Mendelian randomisation study of alcohol use variants in a diverse cohort comprising over 3 million individuals
Jennings M, Martínez-Magaña J, Courchesne-Krak N, Cupertino R, Vilar-Ribó L, Bianchi S, Hatoum A, Atkinson E, Giusti-Rodriguez P, Montalvo-Ortiz J, Gelernter J, Artigas M, 23andMe I, Aslibekyan S, Auton A, Babalola E, Bell R, Bielenberg J, Bryc K, Bullis E, Coker D, Partida G, Dhamija D, Das S, Elson S, Eriksson N, Filshtein T, Fitch A, Fletez-Brant K, Fontanillas P, Freyman W, Granka J, Heilbron K, Hernandez A, Hicks B, Hinds D, Jewett E, Jiang Y, Kukar K, Kwong A, Lin K, Llamas B, Lowe M, McCreight J, McIntyre M, Micheletti S, Moreno M, Nandakumar P, Nguyen D, Noblin E, O'Connell J, Petrakovitz A, Poznik G, Reynoso A, Schumacher M, Shastri A, Shelton J, Shi J, Shringarpure S, Su Q, Tat S, Tchakouté C, Tran V, Tung J, Wang X, Wang W, Weldon C, Wilton P, Wong C, Elson S, Edenberg H, Fontanillas P, Palmer A, Sanchez-Roige S. A phenome-wide association and Mendelian randomisation study of alcohol use variants in a diverse cohort comprising over 3 million individuals. EBioMedicine 2024, 103: 105086. PMID: 38580523, PMCID: PMC11121167, DOI: 10.1016/j.ebiom.2024.105086.Peer-Reviewed Original ResearchConceptsMultiple domains of healthDomains of healthEffects of alcohol consumptionAlcohol consumptionHealth outcomesPhenome-wide association studyAlcohol-related behaviorsCardio-metabolic healthPotential causal effectMendelian randomisation studiesGenome-wide association studiesPhenome-wide associationMR analysisPheWAS associationsMultiple domainsHypothesis-free approachPreventive medicineDiverse cohortPheWASAssociation studiesHealthReproductive healthAlcohol behaviorConsequences of drinkingEuropean cohort
2022
A MUC5B Gene Polymorphism, rs35705950-T, Confers Protective Effects Against COVID-19 Hospitalization but Not Severe Disease or Mortality
Verma A, Minnier J, Wan ES, Huffman JE, Gao L, Joseph J, Ho YL, Wu WC, Cho K, Gorman BR, Rajeevan N, Pyarajan S, Garcon H, Meigs JB, Sun YV, Reaven PD, McGeary JE, Suzuki A, Gelernter J, Lynch JA, Petersen JM, Zekavat SM, Natarajan P, Dalal S, Jhala DN, Arjomandi M, Gatsby E, Lynch KE, Bonomo RA, Freiberg M, Pathak GA, Zhou JJ, Donskey CJ, Madduri RK, Wells QS, Huang R, Polimanti R, Chang KM, Liao KP, Tsao PS, Wilson PWF, Hung A, O’Donnell C, Gaziano JM, Hauger RL, Iyengar S, Luoh SW, Initiative T. A MUC5B Gene Polymorphism, rs35705950-T, Confers Protective Effects Against COVID-19 Hospitalization but Not Severe Disease or Mortality. American Journal Of Respiratory And Critical Care Medicine 2022, 206: 1220-1229. PMID: 35771531, PMCID: PMC9746845, DOI: 10.1164/rccm.202109-2166oc.Peer-Reviewed Original ResearchConceptsCOVID-19 hospitalizationIdiopathic pulmonary fibrosisMillion Veteran ProgramHost Genetics InitiativeAcute respiratory syndrome coronavirus 2 infectionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectionGene polymorphismsSyndrome coronavirus 2 infectionCoronavirus 2 infectionConfer protective effectsCOVID-19 positivityCoronavirus disease (COVID-19) infectionElectronic health recordsMVP subjectsPneumonia eventsClinical outcomesPulmonary fibrosisCOVID-19 Host Genetics InitiativeClinical eventsSevere outcomesProtective effectSevere diseaseRs35705950Disease severityMVP participants
2020
Genotyping Array Design and Data Quality Control in the Million Veteran Program
Hunter-Zinck H, Shi Y, Li M, Gorman BR, Ji SG, Sun N, Webster T, Liem A, Hsieh P, Devineni P, Karnam P, Gong X, Radhakrishnan L, Schmidt J, Assimes TL, Huang J, Pan C, Humphries D, Brophy M, Moser J, Muralidhar S, Huang GD, Przygodzki R, Concato J, Gaziano JM, Gelernter J, O’Donnell C, Hauser ER, Zhao H, O’Leary T, Program V, Tsao PS, Pyarajan S. Genotyping Array Design and Data Quality Control in the Million Veteran Program. American Journal Of Human Genetics 2020, 106: 535-548. PMID: 32243820, PMCID: PMC7118558, DOI: 10.1016/j.ajhg.2020.03.004.Peer-Reviewed Original ResearchConceptsMillion Veteran ProgramGenome-wide association studiesGenome-wide scanHigh-quality genotypesArray-based genotypingWhole-genome sequencingNon-European individualsAssociation studiesGenetic markersOmics assaysAxiom arrayDownstream analysisVeteran ProgramCommon variantsGenetic associationAfrican American ancestryAmerican ancestryMVP cohortRare variantsSingle assayDiversityFurther data releasesLarge biobanksPromising resourceQuality control
2019
Multivariate Analyses Reveal Biological Components Related to Neuronal Signaling and Immunity Mediating Electroencephalograms Abnormalities in Alcohol‐Dependent Individuals from the Collaborative Study on the Genetics of Alcoholism Cohort
Meda SA, Narayanan B, Chorlian D, Meyers JL, Gelernter J, Hesselbrock V, Bauer L, Calhoun VD, Porjesz B, Pearlson G. Multivariate Analyses Reveal Biological Components Related to Neuronal Signaling and Immunity Mediating Electroencephalograms Abnormalities in Alcohol‐Dependent Individuals from the Collaborative Study on the Genetics of Alcoholism Cohort. Alcohol Clinical And Experimental Research 2019, 43: 1462-1477. PMID: 31009096, DOI: 10.1111/acer.14063.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAlcoholismCase-Control StudiesCohort StudiesElectroencephalographyFemaleGenetic Association StudiesGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedMultigene FamilyNeuronsPhenotypePolymorphism, Single NucleotideSignal TransductionSubstance-Related DisordersWhite PeopleYoung AdultConceptsGenetic clustersSingle nucleotide polymorphism dataSignificant genotype-phenotype associationsNucleotide polymorphism dataLipid/cholesterol metabolismLinkage-based analysisGenotype-phenotype relationshipsGenotype-phenotype associationsGene clusterCell signalingPolymorphism dataMolecular mechanismsAlcoholism datasetGenomewide associationTop hitsGenetic componentNeuronal signalingGeneticsSignalingBiological componentsRelationship pairsCholesterol metabolismNeurogenesisSNP componentParallel independent component analysis
2018
Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders
Walters RK, Polimanti R, Johnson EC, McClintick JN, Adams MJ, Adkins AE, Aliev F, Bacanu SA, Batzler A, Bertelsen S, Biernacka JM, Bigdeli TB, Chen LS, Clarke TK, Chou YL, Degenhardt F, Docherty AR, Edwards AC, Fontanillas P, Foo JC, Fox L, Frank J, Giegling I, Gordon S, Hack LM, Hartmann AM, Hartz SM, Heilmann-Heimbach S, Herms S, Hodgkinson C, Hoffmann P, Jan Hottenga J, Kennedy MA, Alanne-Kinnunen M, Konte B, Lahti J, Lahti-Pulkkinen M, Lai D, Ligthart L, Loukola A, Maher BS, Mbarek H, McIntosh AM, McQueen MB, Meyers JL, Milaneschi Y, Palviainen T, Pearson JF, Peterson RE, Ripatti S, Ryu E, Saccone NL, Salvatore JE, Sanchez-Roige S, Schwandt M, Sherva R, Streit F, Strohmaier J, Thomas N, Wang JC, Webb BT, Wedow R, Wetherill L, Wills AG, Boardman J, Chen D, Choi D, Copeland W, Culverhouse R, Dahmen N, Degenhardt L, Domingue B, Elson S, Frye M, Gäbel W, Hayward C, Ising M, Keyes M, Kiefer F, Kramer J, Kuperman S, Lucae S, Lynskey M, Maier W, Mann K, Männistö S, Müller-Myhsok B, Murray A, Nurnberger J, Palotie A, Preuss U, Räikkönen K, Reynolds M, Ridinger M, Scherbaum N, Schuckit M, Soyka M, Treutlein J, Witt S, Wodarz N, Zill P, Adkins D, Boden J, Boomsma D, Bierut L, Brown S, Bucholz K, Cichon S, Costello E, de Wit H, Diazgranados N, Dick D, Eriksson J, Farrer L, Foroud T, Gillespie N, Goate A, Goldman D, Grucza R, Hancock D, Harris K, Heath A, Hesselbrock V, Hewitt J, Hopfer C, Horwood J, Iacono W, Johnson E, Kaprio J, Karpyak V, Kendler K, Kranzler H, Krauter K, Lichtenstein P, Lind P, McGue M, MacKillop J, Madden P, Maes H, Magnusson P, Martin N, Medland S, Montgomery G, Nelson E, Nöthen M, Palmer A, Pedersen N, Penninx B, Porjesz B, Rice J, Rietschel M, Riley B, Rose R, Rujescu D, Shen P, Silberg J, Stallings M, Tarter R, Vanyukov M, Vrieze S, Wall T, Whitfield J, Zhao H, Neale B, Gelernter J, Edenberg H, Agrawal A. Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders. Nature Neuroscience 2018, 21: 1656-1669. PMID: 30482948, PMCID: PMC6430207, DOI: 10.1038/s41593-018-0275-1.Peer-Reviewed Original ResearchConceptsGenetic underpinningsGenome-wide association studiesGenome-wide dataLarge genome-wide association studiesGenome-wide significant effectComplex polygenic architectureSignificant genetic correlationsPolygenic architectureGenetic distinctionCommon genetic underpinningsAssociation studiesGenetic relationshipsGenetic correlationsGenetic ancestryFamily-based studyUse of cigarettesAttention deficit hyperactivity disorderInferring phenotypes from substance use via collaborative matrix completion
Lu J, Sun J, Wang X, Kranzler H, Gelernter J, Bi J. Inferring phenotypes from substance use via collaborative matrix completion. BMC Systems Biology 2018, 12: 104. PMID: 30463556, PMCID: PMC6249733, DOI: 10.1186/s12918-018-0623-5.Peer-Reviewed Original ResearchConceptsRecent statistical methodsMatrix completion techniqueMatrix completionStatistical modelingStatistical methodsPhenotype imputationSpeed 20 timesBi-linear modelImputation methodsParallel algorithmSequential algorithmMultiple scalesSimilar genetic determinantsGood accuracyAlgorithmNew approachCompletion techniquesSample sizeAccuracyModelGenetic influences on eight psychiatric disorders based on family data of 4 408 646 full and half-siblings, and genetic data of 333 748 cases and controls
Pettersson E, Lichtenstein P, Larsson H, Song J, Agrawal A, Børglum A, Bulik C, Daly M, Davis L, Demontis D, Edenberg H, Grove J, Gelernter J, Neale B, Pardiñas A, Stahl E, Walters J, Walters R, Sullivan P, Posthuma D, Polderman T. Genetic influences on eight psychiatric disorders based on family data of 4 408 646 full and half-siblings, and genetic data of 333 748 cases and controls. Psychological Medicine 2018, 49: 1166-1173. PMID: 30221610, PMCID: PMC6421104, DOI: 10.1017/s0033291718002039.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcoholismAnorexia NervosaAttention Deficit Disorder with HyperactivityAutism Spectrum DisorderBipolar DisorderCase-Control StudiesCohort StudiesDepressive Disorder, MajorFamilyFemaleGene-Environment InteractionGenotypeHumansMaleMental DisordersObsessive-Compulsive DisorderQuantitative Trait, HeritableSchizophreniaSchizophrenic PsychologySiblingsSwedenGWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal effect of schizophrenia liability
Pasman JA, Verweij KJH, Gerring Z, Stringer S, Sanchez-Roige S, Treur JL, Abdellaoui A, Nivard MG, Baselmans BML, Ong JS, Ip HF, van der Zee MD, Bartels M, Day FR, Fontanillas P, Elson SL, the 23andMe Research Team, de Wit H, Davis LK, MacKillop J, The Substance Use Disorders Working Group of the Psychiatric Genomics Consortium, International Cannabis Consortium, Derringer JL, Branje SJT, Hartman CA, Heath AC, van Lier PAC, Madden PAF, Mägi R, Meeus W, Montgomery GW, Oldehinkel AJ, Pausova Z, Ramos-Quiroga JA, Paus T, Ribases M, Kaprio J, Boks MPM, Bell JT, Spector TD, Gelernter J, Boomsma DI, Martin NG, MacGregor S, Perry JRB, Palmer AA, Posthuma D, Munafò MR, Gillespie NA, Derks EM, Vink JM. GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal effect of schizophrenia liability. Nature Neuroscience 2018, 21: 1161-1170. PMID: 30150663, PMCID: PMC6386176, DOI: 10.1038/s41593-018-0206-1.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overCell Adhesion MoleculesDatabases, GeneticFemaleGene Expression RegulationGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleMarijuana AbuseMendelian Randomization AnalysisMental HealthMiddle AgedPolymorphism, Single NucleotideRisk-TakingSchizophreniaYoung AdultConceptsGenome-wide association studiesNew risk lociLarge genome-wide association studiesGene-based testsIndependent single nucleotide polymorphismsDifferent expression levelsSignificant genetic correlationsHealth-related traitsSingle nucleotide polymorphismsEtiology of cannabisHeritable traitRisk lociSignificant genesAssociation studiesGenetic correlationsPsychiatric traitsGenetic variantsNucleotide polymorphismsGenetic overlapExpression levelsTraitsGenesNew insightsSchizophrenia riskMendelian randomization analysisMultivariate Pattern Analysis of Genotype–Phenotype Relationships in Schizophrenia
Zheutlin AB, Chekroud AM, Polimanti R, Gelernter J, Sabb FW, Bilder RM, Freimer N, London ED, Hultman CM, Cannon TD. Multivariate Pattern Analysis of Genotype–Phenotype Relationships in Schizophrenia. Schizophrenia Bulletin 2018, 44: 1045-1052. PMID: 29534239, PMCID: PMC6101611, DOI: 10.1093/schbul/sby005.Peer-Reviewed Original ResearchConceptsMultivariate pattern analysisIndependent samplesVisual memoryCognitive endophenotypesPredictive strengthSchizophreniaMemoryIndividual variationPattern analysisSingle predictorCertain domainsDiscovery samplePsychiatric patientsPolygenic risk scoresPredictive powerScoresEndophenotypesPotential relationshipRelationshipRandom forestGenetic risk variantsLimited setPredictorsComprehensive setSamples
2017
Genome-wide association study identifies a novel locus for cannabis dependence
Agrawal A, Chou YL, Carey CE, Baranger DAA, Zhang B, Sherva R, Wetherill L, Kapoor M, Wang JC, Bertelsen S, Anokhin AP, Hesselbrock V, Kramer J, Lynskey MT, Meyers JL, Nurnberger JI, Rice JP, Tischfield J, Bierut LJ, Degenhardt L, Farrer LA, Gelernter J, Hariri AR, Heath AC, Kranzler HR, Madden PAF, Martin NG, Montgomery GW, Porjesz B, Wang T, Whitfield JB, Edenberg HJ, Foroud T, Goate AM, Bogdan R, Nelson EC. Genome-wide association study identifies a novel locus for cannabis dependence. Molecular Psychiatry 2017, 23: 1293-1302. PMID: 29112194, PMCID: PMC5938138, DOI: 10.1038/mp.2017.200.Peer-Reviewed Original ResearchMeSH KeywordsAdultAllelesBlack or African AmericanCannabisCase-Control StudiesChromosomes, Human, Pair 10Cohort StudiesFemaleGene FrequencyGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleMarijuana AbuseMiddle AgedPhenotypePolymorphism, Single NucleotideWhite PeopleYoung AdultConceptsWide significant lociSingle nucleotide polymorphismsSignificant lociGenome-wide significant lociGenome-wide association study dataGenome-wide association studiesAssociation study dataCorrelated single-nucleotide polymorphismsNovel lociTranscription factorsChromosome 10Association studiesModerate heritabilityNovel regionLociBiological contributionEA college studentsMinor alleleEuropean descentH3K4me1Criterion countsHeritabilityPhenotypeEnhancerIndependent cohortAssociation Between Functional Polymorphism in Neuropeptide Y Gene Promoter rs16147 and Resilience to Traumatic Stress in US Military Veterans.
Watkins LE, Han S, Krystal JH, Southwick SM, Gelernter J, Pietrzak RH. Association Between Functional Polymorphism in Neuropeptide Y Gene Promoter rs16147 and Resilience to Traumatic Stress in US Military Veterans. The Journal Of Clinical Psychiatry 2017, 78: e1058-e1059. PMID: 29099554, DOI: 10.4088/jcp.17l11646.Peer-Reviewed Original ResearchCortical β-amyloid burden, gray matter, and memory in adults at varying APOE ε4 risk for Alzheimer's disease
Mecca AP, Barcelos NM, Wang S, Brück A, Nabulsi N, Planeta-Wilson B, Nadelmann J, Benincasa AL, Ropchan J, Huang Y, Gelernter J, Van Ness PH, Carson RE, van Dyck CH. Cortical β-amyloid burden, gray matter, and memory in adults at varying APOE ε4 risk for Alzheimer's disease. Neurobiology Of Aging 2017, 61: 207-214. PMID: 29111487, PMCID: PMC5722236, DOI: 10.1016/j.neurobiolaging.2017.09.027.Peer-Reviewed Original ResearchConceptsΒ-amyloid burdenMiddle-aged individualsAβ burdenEpisodic memory performanceCognitive declineGM fractionCortical β-amyloid burdenBrain magnetic resonance imagingFirst-degree family historyCortical Aβ burdenGray matter fractionNormal middle-aged individualsSubsequent cognitive declineMagnetic resonance imagingPositron emission tomographyAPOE ε3ε3Cortical AβCerebral amyloidosisAPOE genotypeFamily historyPreclinical ADMemory performanceNeuropsychological testingAlzheimer's diseaseGray matterGenomewide association studies of suicide attempts in US soldiers
Stein MB, Ware EB, Mitchell C, Chen C, Borja S, Cai T, Dempsey CL, Fullerton CS, Gelernter J, Heeringa SG, Jain S, Kessler RC, Naifeh JA, Nock MK, Ripke S, Sun X, Beckham JC, Kimbrel NA, VA Mid‐Atlantic Mental Illness Research E, Ursano RJ, Smoller JW. Genomewide association studies of suicide attempts in US soldiers. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2017, 174: 786-797. PMID: 28902444, PMCID: PMC5685938, DOI: 10.1002/ajmg.b.32594.Peer-Reviewed Original ResearchConceptsSuicide attemptsPlausible susceptibility geneGlobal public health problemPeak SNPPolygenic risk score analysisPublic health problemGenomewide association studiesSignificant SNPsSignificant lociGenetic risk factorsLogistic regression modelsUS military personnelAncestral groupsAssociation studiesGenomewide associationRecent suicide attemptersSusceptibility genesRisk factorsAdrenal cortexCase-control sampleRisk score analysisAncestral subgroupsLarger sample sizeBipolar disorderHealth problemsADH1B: From alcoholism, natural selection, and cancer to the human phenome
Polimanti R, Gelernter J. ADH1B: From alcoholism, natural selection, and cancer to the human phenome. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2017, 177: 113-125. PMID: 28349588, PMCID: PMC5617762, DOI: 10.1002/ajmg.b.32523.Peer-Reviewed Original ResearchConceptsHuman phenomeMultiple human tissuesPhenome-wide association studyMolecular functionsGene regulationPhenotypic traitsBioinformatics analysisEvolutionary dataFunctional allelesAssociation studiesMetabolic traitsAlcohol metabolismMolecular pathwaysMultiple molecular pathwaysHuman evolutionPhenomeGenesADH1B geneTraitsComplex mechanismsHuman tissuesMetabolismAllelesADH1BADH1B locusA genome-wide gene-by-trauma interaction study of alcohol misuse in two independent cohorts identifies PRKG1 as a risk locus
Polimanti R, Kaufman J, Zhao H, Kranzler HR, Ursano RJ, Kessler RC, Gelernter J, Stein MB. A genome-wide gene-by-trauma interaction study of alcohol misuse in two independent cohorts identifies PRKG1 as a risk locus. Molecular Psychiatry 2017, 23: 154-160. PMID: 28265120, PMCID: PMC5589475, DOI: 10.1038/mp.2017.24.Peer-Reviewed Original ResearchConceptsGenome-wide interaction studyGene Ontology (GO) enrichment analysisOntology enrichment analysisProtein kinase 1Protein regulationSame effect directionCyclic GMP-dependent protein kinase 1Circadian rhythm regulationRisk lociWide geneEnrichment analysisInteraction studiesKinase 1Individual genetic riskPsychiatric geneticsCalcium-activated potassium channelsGenesLociPRKG1Potassium channelsEffect directionRhythm regulationAlcohol use problemsRegulationAlcohol misuseGenome-wide association study of therapeutic opioid dosing identifies a novel locus upstream of OPRM1
Smith AH, Jensen KP, Li J, Nunez Y, Farrer LA, Hakonarson H, Cook-Sather SD, Kranzler HR, Gelernter J. Genome-wide association study of therapeutic opioid dosing identifies a novel locus upstream of OPRM1. Molecular Psychiatry 2017, 22: 346-352. PMID: 28115739, PMCID: PMC5407902, DOI: 10.1038/mp.2016.257.Peer-Reviewed Original ResearchMeSH KeywordsAdultAllelesAnalgesics, OpioidBlack or African AmericanDose-Response Relationship, DrugFemaleGene FrequencyGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleMethadoneMiddle AgedMorphineOpioid-Related DisordersPainPolymorphism, Single NucleotideReceptors, Opioid, muUnited StatesWhite PeopleConceptsMethadone doseOD subjectsOpioid dependenceSignificant associationDaily methadone doseMethadone maintenance doseOpioid analgesic doseDose of morphineHigher methadone doseDifferent clinical settingsΜ-opioid receptorAnalgesic doseMaintenance doseOral methadoneEffective analgesicSurgical painOpioid sensitivityPrecision pharmacotherapySelective agonistGenome-wide association studiesAA childrenClinical settingDoseMinor alleleOPRM1
2016
Genetic factor common to schizophrenia and HIV infection is associated with risky sexual behavior: antagonistic vs. synergistic pleiotropic SNPs enriched for distinctly different biological functions
Wang Q, Polimanti R, Kranzler HR, Farrer LA, Zhao H, Gelernter J. Genetic factor common to schizophrenia and HIV infection is associated with risky sexual behavior: antagonistic vs. synergistic pleiotropic SNPs enriched for distinctly different biological functions. Human Genetics 2016, 136: 75-83. PMID: 27752767, PMCID: PMC5215962, DOI: 10.1007/s00439-016-1737-8.Peer-Reviewed Original ResearchPhenome-Wide Association Study for Alcohol and Nicotine Risk Alleles in 26394 Women
Polimanti R, Kranzler HR, Gelernter J. Phenome-Wide Association Study for Alcohol and Nicotine Risk Alleles in 26394 Women. Neuropsychopharmacology 2016, 41: 2688-2696. PMID: 27187070, PMCID: PMC5026736, DOI: 10.1038/npp.2016.72.Peer-Reviewed Original ResearchConceptsHealth initiativesRisk allelesSocioeconomic statusPhenome-wide association studyWomen's Health InitiativeMetabolism-related mechanismsMedication useLung cancerTobacco useDietary habitsSmoking behaviorNicotine useReproductive historyReproductive healthSuggestive findingsAlcohol useAnthropometric characteristicsMental healthHealth conditionsMetabolic conditionsCausative relationshipAssociation studiesDrinking behaviorADH1BAssociation
2015
Eye color: A potential indicator of alcohol dependence risk in European Americans
Sulovari A, Kranzler HR, Farrer LA, Gelernter J, Li D. Eye color: A potential indicator of alcohol dependence risk in European Americans. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2015, 168: 347-353. PMID: 25921801, DOI: 10.1002/ajmg.b.32316.Peer-Reviewed Original ResearchConceptsAlcohol dependenceLight-eyed individualsDark-eyed individualsPopulation-based studyLight eye colorBlue eye colorEvidence of associationEye colorRisk factorsEtiological factorsHigh prevalenceEye color geneLogistic regressionAD-associated genesMore alcoholArchival samplesColor genesAssociationEuropean ancestry subjectsReceptor gene clusterIndividualsStratificationBrown eye colorFurther characterizationAssociation studiesPolygenic risk for alcohol dependence associates with alcohol consumption, cognitive function and social deprivation in a population‐based cohort
Clarke T, Smith AH, Gelernter J, Kranzler HR, Farrer LA, Hall LS, Fernandez‐Pujals A, MacIntyre DJ, Smith BH, Hocking LJ, Padmanabhan S, Hayward C, Thomson PA, Porteous DJ, Deary IJ, McIntosh AM. Polygenic risk for alcohol dependence associates with alcohol consumption, cognitive function and social deprivation in a population‐based cohort. Addiction Biology 2015, 21: 469-480. PMID: 25865819, PMCID: PMC4600406, DOI: 10.1111/adb.12245.Peer-Reviewed Original ResearchConceptsCognitive abilitiesCognitive functionAlcohol dependenceCognitive impairmentPrevalence of problemsPolygenic risk scoresOnset of dependenceCognitive dysfunctionFamily Health StudyScottish Family Health StudySocial deprivationSignificant negative associationHeavy drinkingGenetic overlapNegative associationImpairmentPhenotypic associationsAlcohol consumptionCognitionDeprivationFuture workPresent studyAbilityAssociationDrinking