2023
56. 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 studiesGenes
2022
Concerns about the use of polygenic embryo screening for psychiatric and cognitive traits
Lencz T, Sabatello M, Docherty A, Peterson R, Soda T, Austin J, Bierut L, Crepaz-Keay D, Curtis D, Degenhardt F, Huckins L, Lazaro-Munoz G, Mattheisen M, Meiser B, Peay H, Rietschel M, Walss-Bass C, Davis L. Concerns about the use of polygenic embryo screening for psychiatric and cognitive traits. The Lancet Psychiatry 2022, 9: 838-844. PMID: 35931093, PMCID: PMC9930635, DOI: 10.1016/s2215-0366(22)00157-2.Peer-Reviewed Original ResearchConceptsRisk of complex diseasesPolygenic risk scoresEthical issuesEthical implicationsPersonal viewEmbryo screeningGenetic riskRisk scorePolygenic embryo screeningPsychiatric geneticsInternational Society of Psychiatric GeneticsComplex diseasesViewsPsychiatric disordersRelevant stakeholdersScreeningIn vitro fertilisationScreen embryosInternational SocietyPersonsPrivate companiesSocietyClinical applicationExploring the clinical and genetic associations of adult weight trajectories using electronic health records in a racially diverse biobank: a phenome-wide and polygenic risk study
Xu J, Johnson JS, Signer R, Consortium E, Birgegård A, Jordan J, Kennedy MA, Landén M, Maguire SL, Martin NG, Mortensen PB, Petersen LV, Thornton LM, Bulik CM, Huckins LM. Exploring the clinical and genetic associations of adult weight trajectories using electronic health records in a racially diverse biobank: a phenome-wide and polygenic risk study. The Lancet Digital Health 2022, 4: e604-e614. PMID: 35780037, PMCID: PMC9612590, DOI: 10.1016/s2589-7500(22)00099-1.Peer-Reviewed Original ResearchConceptsElectronic health recordsPolygenic risk scoresWeight trajectoriesDepression polygenic risk scoresObesity polygenic risk scoresHealth recordsWeight changeUK BiobankIndividual health statusLower disease riskGenetic associationPatient populationUS National InstitutesWeight managementStable weightRisk scoreHealthy populationHealth statusAnorexia nervosaBioMe BiobankDisease riskDisorder diagnosisMental healthWeight lossPhenome-wide association study
2021
64. IDENTIFYING PSYCHIATRIC AND METABOLIC GENETIC COMPONENTS OF ANOREXIA NERVOSA THROUGH PATHWAY POLYGENIC RISK SCORES
Xu J, Johnson J, Choi S, García-González J, Group E, Bulik C, O'Reilly P, Huckins L. 64. IDENTIFYING PSYCHIATRIC AND METABOLIC GENETIC COMPONENTS OF ANOREXIA NERVOSA THROUGH PATHWAY POLYGENIC RISK SCORES. European Neuropsychopharmacology 2021, 51: e75-e76. DOI: 10.1016/j.euroneuro.2021.07.153.Peer-Reviewed Original Research
2019
Penetrance and Pleiotropy of Polygenic Risk Scores for Schizophrenia in 106,160 Patients Across Four Health Care Systems
Zheutlin A, Dennis J, Karlsson Linnér R, Moscati A, Restrepo N, Straub P, Ruderfer D, Castro V, Chen C, Ge T, Huckins L, Charney A, Kirchner H, Stahl E, Chabris C, Davis L, Smoller J. Penetrance and Pleiotropy of Polygenic Risk Scores for Schizophrenia in 106,160 Patients Across Four Health Care Systems. American Journal Of Psychiatry 2019, 176: 846-855. PMID: 31416338, PMCID: PMC6961974, DOI: 10.1176/appi.ajp.2019.18091085.Peer-Reviewed Original ResearchConceptsPolygenic risk scoresHealth care systemCare systemGenetic riskAssociated with schizophreniaPolygenic risk score distributionPhenome-wide association studyMeasures of genetic riskRisk scoreHighest risk decileHealth care settingsElectronic health recordsOdds of schizophreniaAssociated with other phenotypesCare settingsRisk decileHealth recordsHigher oddsHealth consequencesResearch cohortAssociation studiesHealthEarly interventionMeta-analysisPersonality disorderAssociations Between Attention-Deficit/Hyperactivity Disorder and Various Eating Disorders: A Swedish Nationwide Population Study Using Multiple Genetically Informative Approaches
Yao S, Kuja-Halkola R, Martin J, Lu Y, Lichtenstein P, Norring C, Birgegård A, Yilmaz Z, Hübel C, Watson H, Baker J, Almqvist C, Consortium E, Adan R, Ando T, Baker J, Bergen A, Berrettini W, Birgegård A, Boni C, Perica V, Brandt H, Burghardt R, Cassina M, Cesta C, Clementi M, Coleman J, Cone R, Courtet P, Crawford S, Crow S, Crowley J, Danner U, Davis O, de Zwaan M, Dedoussis G, Degortes D, DeSocio J, Dick D, Dikeos D, Dmitrzak-Weglarz M, Docampo E, Egberts K, Ehrlich S, Escaramís G, Esko T, Estivill X, Favaro A, Fernández-Aranda F, Fichter M, Finan C, Fischer K, Föcker M, Foretova L, Forzan M, Franklin C, Gaspar H, Gonidakis F, Gorwood P, Gratacos M, Guillaume S, Guo Y, Hakonarson H, Halmi K, Hatzikotoulas K, Hauser J, Hebebrand J, Helder S, Hendriks J, Herpertz-Dahlmann B, Herzog W, Hilliard C, Hinney A, Huckins L, Hudson J, Huemer J, Imgart H, Inoko H, Jiménez-Murcia S, Johnson C, Jordan J, Juréus A, Kalsi G, Kaminska D, Kaplan A, Kaprio J, Karhunen L, Karwautz A, Kas M, Kaye W, Kennedy J, Kennedy M, Keski-Rahkonen A, Kiezebrink K, Kim Y, Klump K, Knudsen G, Koeleman B, Koubek D, La Via M, Landén M, Levitan R, Li D, Lichtenstein P, Lilenfeld L, Lissowska J, Magistretti P, Maj M, Mannik K, Martin N, McDevitt S, McGuffin P, Merl E, Metspalu A, Meulenbelt I, Micali N, Mitchell J, Mitchell K, Monteleone P, Monteleone A, Mortensen P, Munn-Chernoff M, Nacmias B, Nilsson I, Norring C, Ntalla I, O’Toole J, Pantel J, Papezova H, Parker R, Rabionet R, Raevuori A, Rajewski A, Ramoz N, Rayner N, Reichborn-Kjennerud T, Ricca V, Ripke S, Ritschel F, Roberts M, Rotondo A, Rybakowski F, Santonastaso P, Scherag A, Schmidt U, Schork N, Schosser A, Seitz J, Slachtova L, Slagboom P, Landt M, Slopien A, Smith T, Sorbi S, Strengman E, Strober M, Sullivan P, Szatkiewicz J, Szeszenia-Dabrowska N, Tachmazidou I, Tenconi E, Thornton L, Tortorella A, Tozzi F, Treasure J, Tsitsika A, Tziouvas K, van Elburg A, van Furth E, Wade T, Wagner G, Walton E, Watson H, Woodside D, Yao S, Yilmaz Z, Zeggini E, Zerwas S, Zipfel S, Alfredsson L, Andreassen O, Aschauer H, Barrett J, Bencko V, Carlberg L, Cichon S, Cohen-Woods S, Dina C, Ding B, Espeseth T, Floyd J, Gallinger S, Gambaro G, Giegling I, Herms S, Janout V, Julià A, Klareskog L, Le Hellard S, Leboyer M, Lundervold A, Marsal S, Mattingsdal M, Navratilova M, Ophoff R, Palotie A, Pinto D, Ripatti S, Rujescu D, Scherer S, Scott L, Sladek R, Soranzo N, Southam L, Steen V, Wichmann H, Widen E, Breen G, Bulik C, Thornton L, Magnusson P, Bulik C, Larsson H. Associations Between Attention-Deficit/Hyperactivity Disorder and Various Eating Disorders: A Swedish Nationwide Population Study Using Multiple Genetically Informative Approaches. Biological Psychiatry 2019, 86: 577-586. PMID: 31301758, PMCID: PMC6776821, DOI: 10.1016/j.biopsych.2019.04.036.Peer-Reviewed Original ResearchConceptsPolygenic risk scoresAttention-deficit/hyperactivity disorder polygenic risk scoresAttention-deficit/hyperactivity disorderQuantitative genetic modelRisk scoreGenetic associationGenetic correlationsEating disordersRegister-based informationAnorexia nervosaPopulation-based sampleGenetic modelsDegree of relatednessGenetically informed approachesAttention-deficit/hyperactivityNationwide population studyMaternal half-sistersCorrelates of attention-deficit/hyperactivity disorderFull-sistersAttention-deficit/hyperactivity disorder symptomsFamilial coaggregationNationwide populationGenetically informative designsShared etiologySubscales Drive