2024
What Next for Eating Disorder Genetics? Replacing Myths With Facts to Sharpen Our Understanding
Huckins L, Signer R, Johnson J, Wu Y, Mitchell K, Bulik C. What Next for Eating Disorder Genetics? Replacing Myths With Facts to Sharpen Our Understanding. FOCUS The Journal Of Lifelong Learning In Psychiatry 2024, 22: 418-429. PMID: 38988461, PMCID: PMC11231467, DOI: 10.1176/appi.focus.24022014.Peer-Reviewed Original ResearchShared Genetic Architecture Between Schizophrenia and Anorexia Nervosa: A Cross-trait Genome-Wide Analysis
Lu Z, Ploner A, Birgegård A, Adan R, Alfredsson L, Ando T, Andreassen O, Baker J, Bergen A, Berrettini W, Birgegård A, Boden J, Boehm I, Perica V, Brandt H, Breen G, Bryois J, Buehren K, Bulik C, Burghardt R, Cassina M, Cichon S, Coleman J, Cone R, Courtet P, Crawford S, Crow S, Crowley J, Danner U, Davis O, de Zwaan M, Dedoussis G, DeSocio J, Dick D, Dikeos D, Dina C, Dmitrzak-Weglarz M, Docampo E, Duncan L, Egberts K, Ehrlich S, Escaramís G, Esko T, Estivill X, Farmer A, Favaro A, Fernández-Aranda F, Fischer K, Föcker M, Foretova L, Forstner A, Forzan M, Franklin C, Gallinger S, Giegling I, Giusti-Rodríguez P, Gonidakis F, Gordon S, Gorwood P, Mayora M, Grove J, Guillaume S, Guo Y, Hakonarson H, Halmi K, Hanscombe K, Hatzikotoulas K, Hauser J, Hebebrand J, Helder S, Herms S, Herpertz-Dahlmann B, Herzog W, Hinney A, Horwood L, Hübel C, Huckins L, Hudson J, Imgart H, Inoko H, Janout V, Jiménez-Murcia S, Johnson C, Jordan J, Julià A, Kalsi G, Kaminská D, Kaplan A, Kaprio J, Karhunen L, Karwautz A, Kas M, Kaye W, Kennedy J, Kennedy M, Keski-Rahkonen A, Kiezebrink K, Kim Y, Klareskog L, Klump K, Landén M, Larsen J, Le Hellard S, Leppä V, Li D, Lichtenstein P, Lilenfeld L, Lin B, Lissowska J, Luykx J, Maj M, Marsal S, Martin N, Mattheisen M, Mattingsdal M, Medland S, Metspalu A, Meulenbelt I, Micali N, Mitchell K, Mitchell J, Monteleone A, Monteleone P, Mortensen P, Munn-Chernoff M, Nacmias B, Navratilova M, Ntalla I, Olsen C, Ophoff R, Padyukov L, Pantel J, Papezova H, Parker R, Pearson J, Pedersen N, Petersen L, Pinto D, Purves K, Raevuori A, Ramoz N, Reichborn-Kjennerud T, Ricca V, Ripatti S, Ripke S, Ritschel F, Roberts M, Rujescu D, Rybakowski F, Santonastaso P, Scherag A, Scherer S, Schmidt U, Schork N, Schosser A, Seitz J, Slachtova L, Slagboom P, Landt M, Slopien A, Sorbi S, Strober M, Sullivan P, Świątkowska B, Szatkiewicz J, Tenconi E, Thornton L, Tortorella A, Treasure J, Tsitsika A, Tyszkiewicz-Nwafor M, van Elburg A, van Furth E, Wade T, Wagner G, Watson H, Werge T, Whiteman D, Widen E, Woodside D, Yao S, Yilmaz Z, Zeggini E, Zerwas S, Zipfel S, Breen G, Bulik C, Bulik C, Bergen S. Shared Genetic Architecture Between Schizophrenia and Anorexia Nervosa: A Cross-trait Genome-Wide Analysis. Schizophrenia Bulletin 2024, sbae087. PMID: 38848516, DOI: 10.1093/schbul/sbae087.Peer-Reviewed Original ResearchPolygenic overlapConditional/conjunctional false discovery rateGenome-wide association studiesGenome-wide analysisConcordant effect directionsProportion of variantsNovel lociFalse discovery rateFunctional annotationGenetic architectureGenetic enrichmentAssociation studiesMultiple genesSynapse organizationMendelian randomization analysisGenetic associationCo-aggregationLociGenetic componentGenetic etiologyAnorexia nervosaFamilial co-aggregationDiscovery rateGenetic factorsRandomization analysisComorbidity Profiles of Posttraumatic Stress Disorder Across the Medical Phenome
Hicks E, Niarchou M, Goleva S, Kabir D, Johnson J, Johnston K, Ciarcia J, Pathak G, Smoller J, Davis L, Nievergelt C, Koenen K, Huckins L, Choi K, Group P. Comorbidity Profiles of Posttraumatic Stress Disorder Across the Medical Phenome. Biological Psychiatry Global Open Science 2024, 4: 100337. PMID: 39050781, PMCID: PMC11268109, DOI: 10.1016/j.bpsgos.2024.100337.Peer-Reviewed Original ResearchElectronic health recordsClinical knowledge gapsPhysical health problemsPhenome-wide associationPheWAS analysisBiobank participantsHealth recordsEpidemiological researchHealthcare systemTest associationsMedical phenomeAssociated with osteoporosisPulmonary heart diseasePhecodesHealth problemsLogistic regressionPosttraumatic stress disorderSex differencesPheWASComorbidity profilesHeart diseaseStress disorderInteraction termsAssociationPTSDCritical reasoning on the co-expression module QTL in the dorsolateral prefrontal cortex
Cote A, Young H, Huckins L. Critical reasoning on the co-expression module QTL in the dorsolateral prefrontal cortex. Human Genetics And Genomics Advances 2024, 5: 100311. PMID: 38773772, PMCID: PMC11214266, DOI: 10.1016/j.xhgg.2024.100311.Peer-Reviewed Original ResearchConceptsExpression quantitative trait lociGene co-expressionCo-expressionExpression quantitative trait locus methodGenetic variantsComplex trait heritabilityMultiple testing burdenGene-based testsQuantitative trait lociTrans-eQTLsCis-eQTLsRegulatory variationSequencing datasetsTrait lociGene regulationTrait heritabilityGene functionGene modulesReal-data applicationModule genesGenesTesting burdenDorsolateral prefrontal cortexVariantsComparison to prior studies209 Transcriptomic Analysis of the Post-mortem Brain in Intracranial Atherosclerosis Implicates Interferon Signaling
Seah C, Devarajan A, Jurczyszak D, Chakka A, Huckins L, Brennand K, Girgenti M. 209 Transcriptomic Analysis of the Post-mortem Brain in Intracranial Atherosclerosis Implicates Interferon Signaling. Neurosurgery 2024, 70: 55-56. DOI: 10.1227/neu.0000000000002809_209.Peer-Reviewed Original ResearchIntracranial atherosclerotic stenosisIntracranial arteriesInterferon-inducible genesInterferon signalingPeripheral atherosclerosisCerebral atherosclerosisExpression of interferon-inducible genesGlial cellsSymptomatic intracranial atherosclerotic stenosisInduced pluripotent stem cellsPost-mortem brainsWorsened functional outcomesHuman induced pluripotent stem cellsUpregulation of interferon inducible genesCause of ischemic strokePluripotent stem cellsRisk of atherosclerosisLipid-rich plaquesRisk factor managementClinical outcomesPoor prognosisExcitatory neuronsIncreased morbidityHistopathological profileFunctional outcomesDissecting the biology of feeding and eating disorders
Huckins L, Brennand K, Bulik C. Dissecting the biology of feeding and eating disorders. Trends In Molecular Medicine 2024, 30: 380-391. PMID: 38431502, DOI: 10.1016/j.molmed.2024.01.009.Peer-Reviewed Original ResearchGenome-wide association studiesVariants to genesGenes to pathwaysSignificant lociFunctional genomicsAssociation studiesGenetic relationshipsIntestinal microbiotaGenetic researchGenomeGenetic correlationsGenesMetabolic contributorsAnorexia nervosaEating disordersPathwayBiologyMetabolic outcomesRisk factorsLociMicrobiotaPhenomicsLethal illnessTraitsFeedingGenomic insights into the comorbidity between type 2 diabetes and schizophrenia
Arruda A, Khandaker G, Morris A, Smith G, Huckins L, Zeggini E. Genomic insights into the comorbidity between type 2 diabetes and schizophrenia. Schizophrenia 2024, 10: 22. PMID: 38383672, PMCID: PMC10881980, DOI: 10.1038/s41537-024-00445-5.Peer-Reviewed Original ResearchBody mass indexType 2 diabetesType 2 diabetes riskEffect of body mass indexPutative effector genesN-methyl-D-aspartatePublic health challengeIncreased body mass indexLipid-related pathwaysRisk-increasing effectMulti-omics dataMendelian randomizationPotential causal relationshipGene expression studiesDirection of effectMental healthDrug repurposing opportunitiesAssociation signalsGenomic lociGenomic insightsHealth challengesEffector genesGenetic liabilityMass indexExpression studies
2023
Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals
Zhou H, Kember R, Deak J, Xu H, Toikumo S, Yuan K, Lind P, Farajzadeh L, Wang L, Hatoum A, Johnson J, Lee H, Mallard T, Xu J, Johnston K, Johnson E, Nielsen T, Galimberti M, Dao C, Levey D, Overstreet C, Byrne E, Gillespie N, Gordon S, Hickie I, Whitfield J, Xu K, Zhao H, Huckins L, Davis L, Sanchez-Roige S, Madden P, Heath A, Medland S, Martin N, Ge T, Smoller J, Hougaard D, Børglum A, Demontis D, Krystal J, Gaziano J, Edenberg H, Agrawal A, Justice A, Stein M, Kranzler H, Gelernter J. Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals. Nature Medicine 2023, 29: 3184-3192. PMID: 38062264, PMCID: PMC10719093, DOI: 10.1038/s41591-023-02653-5.Peer-Reviewed Original ResearchEating disorders: are gut microbiota to blame?
Xu J, Carroll I, Huckins L. Eating disorders: are gut microbiota to blame? Trends In Molecular Medicine 2023, 30: 317-320. PMID: 38040602, PMCID: PMC11009075, DOI: 10.1016/j.molmed.2023.11.007.Peer-Reviewed Original Research56. USING HIPSC-NEURONS AND CRISPR TO UNCOVER NON-ADDITIVE EFFECTS OF SCZ RISK GENES
Deans M, Seah C, Johnson J, García-González J, Townsley K, Cao E, Schrode N, Stahl E, O'Reilly P, Huckins L, Brennand K. 56. USING HIPSC-NEURONS AND CRISPR TO UNCOVER NON-ADDITIVE EFFECTS OF SCZ RISK GENES. European Neuropsychopharmacology 2023, 75: s86. DOI: 10.1016/j.euroneuro.2023.08.162.Peer-Reviewed Original ResearchSCZ risk genesNon-additive effectsRisk genesCombinatorial perturbationsTranscriptomic effectsFunctional roleRisk variantsGene expression changesBulk RNA-seqMultiple functional rolesSynaptic functionHigh-throughput imagingFunctional redundancyTranscriptional regulatorsRNA-seqCRISPR activationCellular phenotypesRNA interferenceEGenesGene expressionExpression changesHiPSC neuronsPolygenic risk scoresGenetic studiesGenesSTRESS IN A DISH: MODELING THE IMPACT OF COMMON GENETIC VARIATION ON STRESS RESPONSE IN HIPSC-DERIVED NEURONS IN PTSD
Seah C, Signer R, Young H, Kozik E, Rusielewicz T, Bader H, Xu C, de Pins A, Breen M, Paull D, Yehuda R, Girgenti M, Brennand K, Huckins L. STRESS IN A DISH: MODELING THE IMPACT OF COMMON GENETIC VARIATION ON STRESS RESPONSE IN HIPSC-DERIVED NEURONS IN PTSD. European Neuropsychopharmacology 2023, 75: s40. DOI: 10.1016/j.euroneuro.2023.08.081.Peer-Reviewed Original ResearchCommon genetic variationGenetic variationStress responseCell typesEQTL associationsTranscriptional stress responseGenomic risk lociTissue-specific mannerChIP-seq datasetsCell type deconvolutionCommon genetic variantsPost-mortem brainsGene expression signaturesHiPSC-derived neuronsTranscription factorsSuch lociCatalog genesRisk lociGenetic studiesExpression signaturesGenetic variantsRegulatory activityGenesEQTLsMechanistic understanding29. GENE EXPRESSION ASSOCIATIONS WITH TRAUMA IN HUMAN POSTMORTEM BRAIN
Hicks E, Seah C, Cote A, Ciarcia J, Chakka A, Group T, Brennand K, Nestler E, Girgenti M, Huckins L. 29. GENE EXPRESSION ASSOCIATIONS WITH TRAUMA IN HUMAN POSTMORTEM BRAIN. European Neuropsychopharmacology 2023, 75: s72. DOI: 10.1016/j.euroneuro.2023.08.139.Peer-Reviewed Original ResearchMajor depressive disorderPost-traumatic stress disorderHuman postmortem brainPostmortem brainsPsychiatric disordersNeurobiological consequencesTranscriptional signatureMajor precipitating factorEarly life stressCase/control statusGene expression associationsType of traumaStress-related disordersTrauma measuresTrauma-exposed individualsTraumatic Stress DisorderExpression associationsBrain donorsDepressive disorderMale miceFrontal cortexPrecipitating factorsMouse modelAnimal modelsPsychosocial stressMASSIVELY PARALLEL CHARACTERIZATION OF CONTEXT SPECIFIC REGULATORY RISK ELEMENTS ACROSS PSYCHIATRIC DISORDERS IN HUMAN-INDUCED PLURIPOTENT STEM CELL-DERIVED GLUTAMATERGIC NEURONS
Townsley K, Sen A, Lee J, Deans P, Jia M, Fernandez-Garcia M, Cartwright S, Cohen S, Goate A, Brennand K, Huckins L. MASSIVELY PARALLEL CHARACTERIZATION OF CONTEXT SPECIFIC REGULATORY RISK ELEMENTS ACROSS PSYCHIATRIC DISORDERS IN HUMAN-INDUCED PLURIPOTENT STEM CELL-DERIVED GLUTAMATERGIC NEURONS. European Neuropsychopharmacology 2023, 75: s7-s8. DOI: 10.1016/j.euroneuro.2023.08.022.Peer-Reviewed Original ResearchCandidate regulatory sequencesExpression quantitative trait lociRegulatory sequencesTranscriptional activityGWAS statisticsSingle-cell CRISPR screensCell type-specific mannerParallel reporter assaysQuantitative trait lociPutative regulatory elementsHigh-throughput sequencingFine-mapping approachFine-mapping methodsLarge-scale identificationFunctional impactTranscriptomic imputationTrait lociKey genesCRISPR screensLarge-scale screening techniquesRegulatory elementsNeuropsychiatric traitsCausal SNPsReporter assaysCasual variantsT65. GENES IN POSTMORTEM BRAIN TISSUE DIFFERENTIALLY EXPRESSED IN CHRONIC PAIN
Collier L, Seah C, Kozik E, Group T, Girgenti M, Huckins L, Johnston K. T65. GENES IN POSTMORTEM BRAIN TISSUE DIFFERENTIALLY EXPRESSED IN CHRONIC PAIN. European Neuropsychopharmacology 2023, 75: s196-s197. DOI: 10.1016/j.euroneuro.2023.08.350.Peer-Reviewed Original ResearchChronic painBackground Chronic painBone cancer painPain-related conditionsVEGF BFalse discovery rate correctionCancer painEndometrial cancerRheumatoid arthritisBrain gene expression datasetsGene expressionPainPsychiatric conditionsLinear regression modelsMultiple testingSpecific cell typesGene expression analysisCell typesRate correctionRegression modelsSurrogate variablesDifferential gene expression analysisDACCMeasured variablesExpressionW22. DISENTANGLING THE ROLES OF GENETICS AND BODY MASS INDEX ACROSS PSYCHIATRIC DISORDERS
Signer R, Seah C, Young H, de Pins A, Johnson J, Cote A, Huckins L. W22. DISENTANGLING THE ROLES OF GENETICS AND BODY MASS INDEX ACROSS PSYCHIATRIC DISORDERS. European Neuropsychopharmacology 2023, 75: s116. DOI: 10.1016/j.euroneuro.2023.08.213.Peer-Reviewed Original ResearchExpression quantitative trait lociBody mass indexGenome-wide association studiesEffect of body mass indexAssociation studiesAvailability of genome-wide association studyGenetic riskPhenome-wide association studyIndirect effect of body mass indexPsychiatric disordersBody mass index spectrumStatistical fine-mappingQuantitative trait lociGenetic risk modelsCell-type specific mannerTissue enrichmentImpact of body mass indexGWAS lociTranscriptome imputationGenomic lociWhole genomeFine-mappingTrait lociGenomic underpinningsPhenotypic consequencesT70. A COMPUTATIONAL TRANSCRIPTOMICS APPROACH TO DRUG REPURPOSING IDENTIFIES NEW THERAPEUTIC CANDIDATES FOR TREATMENT OF CHRONIC PAIN
Cote A, Johnston K, Seah C, Young H, Charney A, Huckins L. T70. A COMPUTATIONAL TRANSCRIPTOMICS APPROACH TO DRUG REPURPOSING IDENTIFIES NEW THERAPEUTIC CANDIDATES FOR TREATMENT OF CHRONIC PAIN. European Neuropsychopharmacology 2023, 75: s199. DOI: 10.1016/j.euroneuro.2023.08.354.Peer-Reviewed Original ResearchResolution of acute painSeverity of chronic painChronic painAcute painExpression signaturesTreatment of chronic pain conditionsAcute low back painPresence of chronic painTreatment of chronic painChronic pain developmentChronic pain phenotypeChronic pain prevalenceChronic pain conditionsLow back painLong-term treatmentTherapeutic candidatePain symptom severityAnti-diabetic medicationsGene expression signaturesPain phenotypesDrug candidatesPain developmentBack painPain prevalencePain conditionsGenetically Regulated Gene Expression in the Brain Associated With Chronic Pain: Relationships With Clinical Traits and Potential for Drug Repurposing
Johnston K, Cote A, Hicks E, Johnson J, Huckins L. Genetically Regulated Gene Expression in the Brain Associated With Chronic Pain: Relationships With Clinical Traits and Potential for Drug Repurposing. Biological Psychiatry 2023, 95: 745-761. PMID: 37678542, PMCID: PMC10924073, DOI: 10.1016/j.biopsych.2023.08.023.Peer-Reviewed Original ResearchConceptsGenetically regulated gene expressionMultisite chronic painGene-tissue associationsMean pain scoreUnique genesChronic painAssociation studiesS-PrediXcanGene expressionPain scoresTranscriptome-wide association studyPhenome-wide association studyCardiac dysrhythmiasMetabolic syndromeGenome-wide association studiesAssociated with cardiac dysrhythmiasDrug targetsGenotype-phenotype gapChronic pain developmentAssociation study resultsGene expression changesJoint/ligament sprainsDirection of effectTranscriptome imputationPain traitsOpen Science Practices in Psychiatric Genetics: A Primer
Kępińska A, Johnson J, Huckins L. Open Science Practices in Psychiatric Genetics: A Primer. Biological Psychiatry Global Open Science 2023, 4: 110-119. PMID: 38298792, PMCID: PMC10829621, DOI: 10.1016/j.bpsgos.2023.08.007.Peer-Reviewed Original ResearchTranscriptional signatures of heroin intake and relapse throughout the brain reward circuitry in male mice
Browne C, Futamura R, Minier-Toribio A, Hicks E, Ramakrishnan A, Martínez-Rivera F, Estill M, Godino A, Parise E, Torres-Berrío A, Cunningham A, Hamilton P, Walker D, Huckins L, Hurd Y, Shen L, Nestler E. Transcriptional signatures of heroin intake and relapse throughout the brain reward circuitry in male mice. Science Advances 2023, 9: eadg8558. PMID: 37294757, PMCID: PMC10256172, DOI: 10.1126/sciadv.adg8558.Peer-Reviewed Original ResearchConceptsOpioid use disorderHeroin intakeContext-induced drug-seekingBrain reward circuitryHeroin self-administrationRNA-seqDrug seekingReward circuitryGenome-wide association study dataSelf-administrationHeroin exposureDrug-takingIntegration of RNA-seq dataUse disorderPatterns of transcriptional regulationRNA-seq dataBehavioral outcomesMale miceMolecular changesTranscriptional regulationRegion-specificGene candidatesRNA sequencingHeroinBioinformatics analysisModeling Gene by Environment Interactions in Post-Traumatic Stress Disorder Across the Post-Mortem Brain and in hiPSC-Derived Neurons
Seah C, Signer R, Young H, Rusielewicz T, Bader H, Xu C, dePins A, Breen M, Paull D, Girgenti M, Yehuda R, Brennand K, Huckins L. Modeling Gene by Environment Interactions in Post-Traumatic Stress Disorder Across the Post-Mortem Brain and in hiPSC-Derived Neurons. Biological Psychiatry 2023, 93: s11. DOI: 10.1016/j.biopsych.2023.02.048.Peer-Reviewed Original Research