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
2019
Genome-wide association study implicates CHRNA2 in cannabis use disorder
Demontis D, Rajagopal V, Thorgeirsson T, Als T, Grove J, Leppälä K, Gudbjartsson D, Pallesen J, Hjorthøj C, Reginsson G, Tyrfingsson T, Runarsdottir V, Qvist P, Christensen J, Bybjerg-Grauholm J, Bækvad-Hansen M, Huckins L, Stahl E, Timmermann A, Agerbo E, Hougaard D, Werge T, Mors O, Mortensen P, Nordentoft M, Daly M, Stefansson H, Stefansson K, Nyegaard M, Børglum A. Genome-wide association study implicates CHRNA2 in cannabis use disorder. Nature Neuroscience 2019, 22: 1066-1074. PMID: 31209380, PMCID: PMC7596896, DOI: 10.1038/s41593-019-0416-1.Peer-Reviewed Original ResearchMeSH KeywordsAge of OnsetAllelesAttention Deficit Disorder with HyperactivityBrainCase-Control StudiesChromosomes, Human, Pair 8CognitionCohort StudiesConfounding Factors, EpidemiologicDenmarkEducational StatusFemaleGene Expression ProfilingGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansIcelandMaleMarijuana AbuseMultifactorial InheritanceNerve Tissue ProteinsPolymorphism, Single NucleotideQuantitative Trait LociReceptors, NicotinicSchizophreniaSmokingTranscriptomeConceptsCannabis use disorderGenome-wide association studiesGenome-wide significant risk lociUse disorderExpression quantitative trait lociGenetically regulated gene expressionRisk of cannabis use disorderSignificant risk lociQuantitative trait lociTwin heritabilityPolygenic levelGenetic architectureRisk lociTrait lociAssociation studiesBiological insightsCognitive performanceIllicit psychoactive substancesGene expressionGenetic componentCannabisIndependent populationsPsychoactive substancesLociIndex variants
2018
Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder
Demontis D, Walters RK, Martin J, Mattheisen M, Als TD, Agerbo E, Baldursson G, Belliveau R, Bybjerg-Grauholm J, Bækvad-Hansen M, Cerrato F, Chambert K, Churchhouse C, Dumont A, Eriksson N, Gandal M, Goldstein JI, Grasby KL, Grove J, Gudmundsson OO, Hansen CS, Hauberg ME, Hollegaard MV, Howrigan DP, Huang H, Maller JB, Martin AR, Martin NG, Moran J, Pallesen J, Palmer DS, Pedersen CB, Pedersen MG, Poterba T, Poulsen JB, Ripke S, Robinson EB, Satterstrom FK, Stefansson H, Stevens C, Turley P, Walters GB, Won H, Wright MJ, Andreassen O, Asherson P, Burton C, Boomsma D, Cormand B, Dalsgaard S, Franke B, Gelernter J, Geschwind D, Hakonarson H, Haavik J, Kranzler H, Kuntsi J, Langley K, Lesch K, Middeldorp C, Reif A, Rohde L, Roussos P, Schachar R, Sklar P, Sonuga-Barke E, Sullivan P, Thapar A, Tung J, Waldman I, Medland S, Stefansson K, Nordentoft M, Hougaard D, Werge T, Mors O, Mortensen P, Daly M, Faraone S, Børglum A, Neale B. Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder. Nature Genetics 2018, 51: 63-75. PMID: 30478444, PMCID: PMC6481311, DOI: 10.1038/s41588-018-0269-7.Peer-Reviewed Original ResearchConceptsGenome-wide significant risk lociFunction intolerant genesGenome-wide associationSignificant risk lociGenome-wide significanceAttention-deficit/hyperactivity disorderCommon genetic variantsGenomic regionsIntolerant genesIndependent lociRegulatory marksHeritable traitRisk lociDeficit/hyperactivity disorderGenetic variantsGenetic overlapStudy-specific differencesLociHyperactivity disorderImportant new informationUnderlying biologyChildhood behavioral disordersVariantsStrong concordanceGWAS
2015
Network-Based Integration of GWAS and Gene Expression Identifies a HOX-Centric Network Associated with Serous Ovarian Cancer Risk
Kar SP, Tyrer JP, Li Q, Lawrenson K, Aben KK, Anton-Culver H, Antonenkova N, Chenevix-Trench G, Study O, Group A, Baker H, Bandera EV, Bean YT, Beckmann MW, Berchuck A, Bisogna M, Bjørge L, Bogdanova N, Brinton L, Brooks-Wilson A, Butzow R, Campbell I, Carty K, Chang-Claude J, Chen YA, Chen Z, Cook LS, Cramer D, Cunningham JM, Cybulski C, Dansonka-Mieszkowska A, Dennis J, Dicks E, Doherty JA, Dörk T, du Bois A, Dürst M, Eccles D, Easton DF, Edwards RP, Ekici AB, Fasching PA, Fridley BL, Gao YT, Gentry-Maharaj A, Giles GG, Glasspool R, Goode EL, Goodman MT, Grownwald J, Harrington P, Harter P, Hein A, Heitz F, Hildebrandt MA, Hillemanns P, Hogdall E, Hogdall CK, Hosono S, Iversen ES, Jakubowska A, Paul J, Jensen A, Ji BT, Karlan BY, Kjaer SK, Kelemen LE, Kellar M, Kelley J, Kiemeney LA, Krakstad C, Kupryjanczyk J, Lambrechts D, Lambrechts S, Le ND, Lee AW, Lele S, Leminen A, Lester J, Levine DA, Liang D, Lissowska J, Lu K, Lubinski J, Lundvall L, Massuger L, Matsuo K, McGuire V, McLaughlin JR, McNeish IA, Menon U, Modugno F, Moysich KB, Narod SA, Nedergaard L, Ness RB, Nevanlinna H, Odunsi K, Olson SH, Orlow I, Orsulic S, Weber RP, Pearce CL, Pejovic T, Pelttari LM, Permuth-Wey J, Phelan CM, Pike MC, Poole EM, Ramus SJ, Risch HA, Rosen B, Rossing MA, Rothstein JH, Rudolph A, Runnebaum IB, Rzepecka IK, Salvesen HB, Schildkraut JM, Schwaab I, Shu XO, Shvetsov YB, Siddiqui N, Sieh W, Song H, Southey MC, Sucheston-Campbell LE, Tangen IL, Teo SH, Terry KL, Thompson PJ, Timorek A, Tsai YY, Tworoger SS, van Altena AM, Van Nieuwenhuysen E, Vergote I, Vierkant RA, Wang-Gohrke S, Walsh C, Wentzensen N, Whittemore AS, Wicklund KG, Wilkens LR, Woo YL, Wu X, Wu A, Yang H, Zheng W, Ziogas A, Sellers TA, Monteiro AN, Freedman ML, Gayther SA, Pharoah PD. Network-Based Integration of GWAS and Gene Expression Identifies a HOX-Centric Network Associated with Serous Ovarian Cancer Risk. Cancer Epidemiology Biomarkers & Prevention 2015, 24: 1574-1584. PMID: 26209509, PMCID: PMC4592449, DOI: 10.1158/1055-9965.epi-14-1270.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesTF genesGenome-wide significant risk lociAssociation studiesTranscription factor genesNetwork of genesPutative target genesSignificant risk lociGene-level testsIndependent association studiesContext-specific datasetsSerous ovarian cancer riskCancer Genome AtlasLocus functionsTarget genesFactor genesEnrichment analysisRisk lociGene expressionTop signalsGenesMicroarray datasetsNetworks AssociatedEOC tumorsGenome Atlas
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