2022
Genome-wide meta-analysis of insomnia prioritizes genes associated with metabolic and psychiatric pathways
Watanabe K, Jansen PR, Savage JE, Nandakumar P, Wang X, Hinds D, Gelernter J, Levey D, Polimanti R, Stein M, Van Someren E, Smit A, Posthuma D. Genome-wide meta-analysis of insomnia prioritizes genes associated with metabolic and psychiatric pathways. Nature Genetics 2022, 54: 1125-1132. PMID: 35835914, DOI: 10.1038/s41588-022-01124-w.Peer-Reviewed Original ResearchConceptsRisk lociGenome-wide association studiesSpecific gene setsPrevious genome-wide association studyGene prioritization strategyExternal biological resourcesExtreme polygenicityExpression specificityAssociated lociSignaling functionsGene setsAssociation studiesNeuronal differentiationFunctional interactionGenesLociBiological resourcesPolygenicityNovel strategyPrioritization strategiesSpecific hypothesesDifferentiationPathwayStatistical powerLarge number
2019
Genomewide Study of Epigenetic Biomarkers of Opioid Dependence in European- American Women
Montalvo-Ortiz JL, Cheng Z, Kranzler HR, Zhang H, Gelernter J. Genomewide Study of Epigenetic Biomarkers of Opioid Dependence in European- American Women. Scientific Reports 2019, 9: 4660. PMID: 30874594, PMCID: PMC6420601, DOI: 10.1038/s41598-019-41110-7.Peer-Reviewed Original ResearchConceptsEpigenome-wide association studiesEpigenetic mechanismsAssociation studiesAssociation analysisCpG sitesFirst epigenome-wide association studyGenome-wide association studiesPrevious genome-wide association studyCandidate gene approachChromatin remodelingDNA bindingGene approachGenomewide studiesDNA methylation ageCell survivalEpigenetic biomarkersRisk variantsPopulation stratificationMethylation ageGenesCell projectionsOpioid dependenceNovel peripheral biomarkersEuropean American womenCell proportion
2017
S100A10 identified in a genome-wide gene × cannabis dependence interaction analysis of risky sexual behaviours
Polimanti R, Meda SA, Pearlson GD, Zhao H, Sherva R, Farrer LA, Kranzler HR, Gelernter J. S100A10 identified in a genome-wide gene × cannabis dependence interaction analysis of risky sexual behaviours. Journal Of Psychiatry And Neuroscience 2017, 42: 252-261. PMID: 28418321, PMCID: PMC5487272, DOI: 10.1503/jpn.160189.Peer-Reviewed Original ResearchConceptsRisky sexual behaviorCAD diagnosisLow-frequency fluctuation (ALFF) analysisMultiple sexual partnersLeft paracentral lobuleSexual behaviorAfrican American cohortSemi-Structured AssessmentALFF analysisSexual functionAfrican American participantsCalcium-binding proteinsParacentral lobuleIndependent cohortRight pallidumCalcium homeostasisUnprotected sexCannabis dependenceDrug dependenceSignificant associationBrain regionsSexual partnersFrequency fluctuation analysisPrevious genome-wide association studyCohort
2014
Genome-Wide Association Study of Nicotine Dependence in American Populations: Identification of Novel Risk Loci in Both African-Americans and European-Americans
Gelernter J, Kranzler HR, Sherva R, Almasy L, Herman AI, Koesterer R, Zhao H, Farrer LA. Genome-Wide Association Study of Nicotine Dependence in American Populations: Identification of Novel Risk Loci in Both African-Americans and European-Americans. Biological Psychiatry 2014, 77: 493-503. PMID: 25555482, PMCID: PMC4386684, DOI: 10.1016/j.biopsych.2014.08.025.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesGWS associationsRisk lociAssociation studiesNicotinic receptor gene clusterPrevious genome-wide association studyNovel risk lociAdenosine monophosphate-activated protein kinase (AMPK) pathwayReceptor gene clusterProtein kinase pathwayChromosome 8 regionGWAS analysisGene clusterIntergenic regionNumerous SNPsQuantity traitsKinase pathwayPathway analysisChromosome 14Base pairsNovel insightsStudy of AddictionOrdinal traitsLociTraits