2025
Low Stability and Specificity of Polygenic Risk Scores for Major Psychiatric Disorders Limit their Clinical Utility
Mollon J, Schultz L, Knowles E, Jacquemont S, Glahn D, Almasy L. Low Stability and Specificity of Polygenic Risk Scores for Major Psychiatric Disorders Limit their Clinical Utility. Biological Psychiatry 2025 PMID: 40113122, DOI: 10.1016/j.biopsych.2025.03.006.Peer-Reviewed Original ResearchAlcohol use disorderPolygenic risk scoresSchizophrenia polygenic risk scoresPercentage of individualsHigh riskDepressive disorderLack of clinical utilityUse disorderValidity of polygenic risk scoresSchizophreniaClinical utilityMDDRisk scoreEffect sizeSNP effect sizesWhite British individualsDisordersHigh-risk individualsUK BiobankType 2 diabetesBritish individualsPRS-CSIndividualsT2DPsychiatryGenetic Associations Among Inflammation, White Matter Architecture, and Extracellular Free Water
Rodrigue A, Knowles E, Mollon J, Mathias S, Peralta J, Leandro A, Fox P, Kochunov P, Olvera R, Almasy L, Curran J, Blangero J, Glahn D. Genetic Associations Among Inflammation, White Matter Architecture, and Extracellular Free Water. Human Brain Mapping 2025, 46: e70101. PMID: 39757975, PMCID: PMC11702472, DOI: 10.1002/hbm.70101.Peer-Reviewed Original ResearchConceptsGenetic correlationsDiffusion tensor imagingCirculating cytokine levelsPeripheral inflammatory responseWhite matter architectureFA measurementsCytokine levelsCytokine measurementsWhite matter integrityProinflammatory cytokinesSingle-compartment modelIL-8Inflammatory processInflammatory responseFree water volumeFree waterGenetic relationshipsWhite matterWhite matter microstructureExtracellular free waterGenetic association
2024
Effects of gene dosage on cognitive ability: A function-based association study across brain and non-brain processes
Huguet G, Renne T, Poulain C, Dubuc A, Kumar K, Kazem S, Engchuan W, Shanta O, Douard E, Proulx C, Jean-Louis M, Saci Z, Mollon J, Schultz L, Knowles E, Cox S, Porteous D, Davies G, Redmond P, Harris S, Schumann G, Dumas G, Labbe A, Pausova Z, Paus T, Scherer S, Sebat J, Almasy L, Glahn D, Jacquemont S. Effects of gene dosage on cognitive ability: A function-based association study across brain and non-brain processes. Cell Genomics 2024, 4: 100721. PMID: 39667348, PMCID: PMC11701252, DOI: 10.1016/j.xgen.2024.100721.Peer-Reviewed Original ResearchConceptsCopy-number variantsGenome-wide association studiesAssociation studiesCognitive abilitiesBiological processesEffect of gene dosageNeurodevelopmental disordersAssociated with cognitionHigher cognitive performanceGene dosageGene setsAssociated with higher cognitive performanceCognitive performanceGenesCell typesEffect sizeCognitionDeletionDuplicationDisordersNon-brain tissuesMedical comorbiditiesAbilityVariantsBrainImpact of Type 2 Diabetes and Hypertension on Cognition: A Propensity Score‐Matched Analysis in Mexican Americans from San Antonio
Lopez‐Alvarenga J, Almeida M, Cavazos J, Mahaney M, Maestre G, Glahn D, Duggirala R, Blangero J. Impact of Type 2 Diabetes and Hypertension on Cognition: A Propensity Score‐Matched Analysis in Mexican Americans from San Antonio. Alzheimer's & Dementia 2024, 20: e091135. PMCID: PMC11716190, DOI: 10.1002/alz.091135.Peer-Reviewed Original ResearchCalifornia Verbal Learning TestContinuous Performance TestHigh blood pressureCalifornia Verbal Learning Test scoresMexican AmericansVerbal Learning TestInformation-processing speedAffected cognitive domainsPrevalence of chronic conditionsCognitive screening toolHigh blood pressure statusUS Hispanic/Latino populationEpidemiological observational studiesObservational studyExecutive functionLearning TestCognitive measuresDelayed recallEffect of T2DMemory delayShort-term memoryImpact of type 2 diabetesRisk of hypertensionCognitive functionLow processing speedVirtual stressors with real impact: what virtual reality-based biobehavioral research can teach us about typical and atypical stress responsivity
Shirtcliff E, Finseth T, Winer E, Glahn D, Conrady R, Drury S. Virtual stressors with real impact: what virtual reality-based biobehavioral research can teach us about typical and atypical stress responsivity. Translational Psychiatry 2024, 14: 441. PMID: 39420000, PMCID: PMC11487258, DOI: 10.1038/s41398-024-03129-x.Peer-Reviewed Original ResearchComparative Analysis of Fecal Microbiota Between Adolescents with Early-Onset Psychosis and Adults with Schizophrenia
Nuncio-Mora L, Nicolini H, Lanzagorta N, García-Jaimes C, Sosa-Hernández F, González-Covarrubias V, Cabello-Rangel H, Sarmiento E, Glahn D, Genis-Mendoza A. Comparative Analysis of Fecal Microbiota Between Adolescents with Early-Onset Psychosis and Adults with Schizophrenia. Microorganisms 2024, 12: 2071. PMID: 39458380, PMCID: PMC11510430, DOI: 10.3390/microorganisms12102071.Peer-Reviewed Original ResearchEarly-onset psychosisPsychiatric disordersAtypical antipsychotic treatmentNon-psychotic individualsTreated with sertralineAntipsychotic treatmentSchizophrenia groupSchizophrenia patientsSchizophreniaGut-brain axisPsychosisGene orthology analysisPotential metabolic functionsAssociated with gut dysbiosisFunctional prediction analysisValproate treatmentPharmacological treatmentOscillospiraceae familiesOrthology analysisDecreased levelsFatty acid metabolismGut microbiomeExpressed genesMicrobial communitiesMicrobial compositionRESOLVING THE CHALLENGES OF BIG-DATA IMAGING GENETICS ANALYSIS TO UNDERSTAND GENETIC AND ENVIRONMENTAL RISK FACTORS IN PSYCHIATRIC DISORDERS
Kochunov P, Nichols T, Blangero J, Medland S, Glahn D, Hong E. RESOLVING THE CHALLENGES OF BIG-DATA IMAGING GENETICS ANALYSIS TO UNDERSTAND GENETIC AND ENVIRONMENTAL RISK FACTORS IN PSYCHIATRIC DISORDERS. European Neuropsychopharmacology 2024, 87: 21-22. DOI: 10.1016/j.euroneuro.2024.08.056.Peer-Reviewed Original ResearchGenetic analysisGenome-wide associationBrain patternsImaging genetic analysisImaging genetic datasetGenetic resolutionGenetic risk factorsGenetic datasetsGenetic dataDepressive disorderPsychiatric disordersRisk of development of dementiaVariance componentsHigh-resolution neuroimagingDevelopment of dementiaNurturing interactionsEnvironmental risk factorsAlzheimer's diseaseGenetic correlationsRisk factorsTreatment effectsDisordersLongitudinal datasetPsychosisSNPs94. THE GENETIC ARCHITECTURE OF MOOD AND ANXIETY DISORDER SYMPTOMS
Schultz L, Mollon J, Jacquemont S, Almasy L, Glahn D. 94. THE GENETIC ARCHITECTURE OF MOOD AND ANXIETY DISORDER SYMPTOMS. European Neuropsychopharmacology 2024, 87: 100. DOI: 10.1016/j.euroneuro.2024.08.208.Peer-Reviewed Original ResearchEuropean ancestryPrefrontal cortexPsychiatric diagnosisGene set analysisAssociated with genesInverse-variance weighted meta-analysisICD-10 psychiatric diagnosisMeta-analysisAnxiety disorder symptomsUK Biobank (UKBMulti-ancestry meta-analysisGenome-wide significant variantsGenetic architectureRisk lociMSigDB geneChromosome 8Confirmatory factor modelsGenomic risk lociEuropean ancestry individualsAnxiety disordersDisorder symptomsMood/anxiety symptomsIdentified risk lociDopamine receptorsFrontal cortex6.25 Characterization of Abnormal Pain and Somatization in Early-Onset Psychosis
van der Heijden H, Goldman M, Ray A, Golden M, Petty C, Deaso E, Hojlo M, Sethna N, Glahn D, Gonzalez-Heydrich J. 6.25 Characterization of Abnormal Pain and Somatization in Early-Onset Psychosis. Journal Of The American Academy Of Child & Adolescent Psychiatry 2024, 63: s289. DOI: 10.1016/j.jaac.2024.08.423.Peer-Reviewed Original ResearchCharacterization of pain and somatization and its relationship with psychopathology in early onset psychosis
van der Heijden H, Goldman M, Ray A, Golden E, Petty C, Deaso E, Hojlo M, Sethna N, Glahn D, Gonzalez-Heydrich J, Upadhyay J. Characterization of pain and somatization and its relationship with psychopathology in early onset psychosis. Journal Of Psychiatric Research 2024, 179: 77-82. PMID: 39260111, PMCID: PMC11531992, DOI: 10.1016/j.jpsychires.2024.09.006.Peer-Reviewed Original ResearchBrief Psychiatric Rating ScaleEarly onset psychosisDegree of psychopathologyBrief Psychiatric Rating Scale totalBrief Psychiatric Rating Scale subscalesDimensions of psychopathologyPsychiatric Rating ScaleChlorpromazine equivalent doseAntipsychotic medication usageControl of psychosisStructured Clinical InterviewAdult-onset psychosisPain catastrophizingSelf-report questionnairesCentral sensitizationPain severityFrequent cause of distressClinical interviewSomatic severityClinical presentation of painSomatic symptomsPsychopathologyPsychosisSubscale scoresRating ScaleCopy-number variants differ in frequency across genetic ancestry groups
Schultz L, Knighton A, Huguet G, Saci Z, Jean-Louis M, Mollon J, Knowles E, Glahn D, Jacquemont S, Almasy L. Copy-number variants differ in frequency across genetic ancestry groups. Human Genetics And Genomics Advances 2024, 5: 100340. PMID: 39138864, PMCID: PMC11401192, DOI: 10.1016/j.xhgg.2024.100340.Peer-Reviewed Original ResearchCopy number variantsAncestry groupsDeleterious copy number variantsRecurrent copy number variantsNon-European ancestry groupsUK BiobankGenetic ancestry groupsGenetic ancestryEuropean ancestry groupsReplication cohortFamily cohortProbe associationsAncestryCopyVariantsHealth outcomesCognitive phenotypesCommunity populationAutism spectrum disorderPhenotypeCohortLarge‐scale analysis of structural brain asymmetries during neurodevelopment: Associations with age and sex in 4265 children and adolescents
Kurth F, Schijven D, van den Heuvel O, Hoogman M, van Rooij D, Stein D, Buitelaar J, Bölte S, Auzias G, Kushki A, Venkatasubramanian G, Rubia K, Bollmann S, Isaksson J, Jaspers‐Fayer F, Marsh R, Batistuzzo M, Arnold P, Bressan R, Stewart S, Gruner P, Sorensen L, Pan P, Silk T, Gur R, Cubillo A, Haavik J, Tuura R, Hartman C, Calvo R, McGrath J, Calderoni S, Jackowski A, Chantiluke K, Satterthwaite T, Busatto G, Nigg J, Gur R, Retico A, Tosetti M, Gallagher L, Szeszko P, Neufeld J, Ortiz A, Ghisleni C, Lazaro L, Hoekstra P, Anagnostou E, Hoekstra L, Simpson B, Plessen J, Deruelle C, Soreni N, James A, Narayanaswamy J, Reddy J, Fitzgerald J, Bellgrove M, Salum G, Janssen J, Muratori F, Vila M, Giral M, Ameis S, Bosco P, Remnélius K, Huyser C, Pariente J, Jalbrzikowski M, Rosa P, O'Hearn K, Ehrlich S, Mollon J, Zugman A, Christakou A, Arango C, Fisher S, Kong X, Franke B, Medland S, Thomopoulos S, Jahanshad N, Glahn D, Thompson P, Francks C, Luders E. Large‐scale analysis of structural brain asymmetries during neurodevelopment: Associations with age and sex in 4265 children and adolescents. Human Brain Mapping 2024, 45: e26754. PMID: 39046031, PMCID: PMC11267452, DOI: 10.1002/hbm.26754.Peer-Reviewed Original ResearchConceptsBrain asymmetryBrain regionsSex differencesStructural brain asymmetryCerebral asymmetryFindings lack consistencyBrain featuresEffects of ageSamples to dateEffect sizeBrainDifferential effectsAdolescentsAge effectsChildhoodInvestigate associationsSignificant asymmetryAssociated with ageSexMaleFindingsNeurodevelopmentAssociationDifferencesHemisphereNeurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithm
Jiang Y, Luo C, Wang J, Palaniyappan L, Chang X, Xiang S, Zhang J, Duan M, Huang H, Gaser C, Nemoto K, Miura K, Hashimoto R, Westlye L, Richard G, Fernandez-Cabello S, Parker N, Andreassen O, Kircher T, Nenadić I, Stein F, Thomas-Odenthal F, Teutenberg L, Usemann P, Dannlowski U, Hahn T, Grotegerd D, Meinert S, Lencer R, Tang Y, Zhang T, Li C, Yue W, Zhang Y, Yu X, Zhou E, Lin C, Tsai S, Rodrigue A, Glahn D, Pearlson G, Blangero J, Karuk A, Pomarol-Clotet E, Salvador R, Fuentes-Claramonte P, Garcia-León M, Spalletta G, Piras F, Vecchio D, Banaj N, Cheng J, Liu Z, Yang J, Gonul A, Uslu O, Burhanoglu B, Uyar Demir A, Rootes-Murdy K, Calhoun V, Sim K, Green M, Quidé Y, Chung Y, Kim W, Sponheim S, Demro C, Ramsay I, Iasevoli F, de Bartolomeis A, Barone A, Ciccarelli M, Brunetti A, Cocozza S, Pontillo G, Tranfa M, Park M, Kirschner M, Georgiadis F, Kaiser S, Van Rheenen T, Rossell S, Hughes M, Woods W, Carruthers S, Sumner P, Ringin E, Spaniel F, Skoch A, Tomecek D, Homan P, Homan S, Omlor W, Cecere G, Nguyen D, Preda A, Thomopoulos S, Jahanshad N, Cui L, Yao D, Thompson P, Turner J, van Erp T, Cheng W, Feng J. Neurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithm. Nature Communications 2024, 15: 5996. PMID: 39013848, PMCID: PMC11252381, DOI: 10.1038/s41467-024-50267-3.Peer-Reviewed Original ResearchConceptsGray matter changesDisorder constructsEnlarged striatumPsychiatric conditionsMental disordersSubcortical regionsSchizophreniaBiological foundationsMatter changesBrain imagingStriatumDisordersBiological factorsIndividualsSubtypesHealthy subjectsCross-sectional brain imagingHippocampusTemporal trajectoriesInternational cohortSubgroup 2Subgroup 1SubgroupsBrain‐age prediction: Systematic evaluation of site effects, and sample age range and size
Yu Y, Cui H, Haas S, New F, Sanford N, Yu K, Zhan D, Yang G, Gao J, Wei D, Qiu J, Banaj N, Boomsma D, Breier A, Brodaty H, Buckner R, Buitelaar J, Cannon D, Caseras X, Clark V, Conrod P, Crivello F, Crone E, Dannlowski U, Davey C, de Haan L, de Zubicaray G, Di Giorgio A, Fisch L, Fisher S, Franke B, Glahn D, Grotegerd D, Gruber O, Gur R, Gur R, Hahn T, Harrison B, Hatton S, Hickie I, Pol H, Jamieson A, Jernigan T, Jiang J, Kalnin A, Kang S, Kochan N, Kraus A, Lagopoulos J, Lazaro L, McDonald B, McDonald C, McMahon K, Mwangi B, Piras F, Rodriguez‐Cruces R, Royer J, Sachdev P, Satterthwaite T, Saykin A, Schumann G, Sevaggi P, Smoller J, Soares J, Spalletta G, Tamnes C, Trollor J, Ent D, Vecchio D, Walter H, Wang Y, Weber B, Wen W, Wierenga L, Williams S, Wu M, Zunta‐Soares G, Bernhardt B, Thompson P, Frangou S, Ge R, Group E. Brain‐age prediction: Systematic evaluation of site effects, and sample age range and size. Human Brain Mapping 2024, 45: e26768. PMID: 38949537, PMCID: PMC11215839, DOI: 10.1002/hbm.26768.Peer-Reviewed Original ResearchConceptsBrain-aging modelBrain-age predictionBrain-ageDiscovery sampleBrain morphometric measuresStructural neuroimaging dataSamples of healthy individualsSample age rangeNeuroimaging metricsNeuroimaging dataHealthy individualsLongitudinal consistencyBrain developmentIndependent samplesAge varianceAge rangeBrainSample sizeAge binsMorphometry dataIndividualsHuman lifespanEmpirical examinationMeaningful measuresFindingsAdmixture mapping of cognitive function in diverse Hispanic and Latino adults: Results from the Hispanic Community Health Study/Study of Latinos
Xia R, Jian X, Rodrigue A, Bressler J, Boerwinkle E, Cui B, Daviglus M, DeCarli C, Gallo L, Glahn D, Knowles E, Moon J, Mosley T, Satizabal C, Sofer T, Tarraf W, Testai F, Blangero J, Seshadri S, González H, Fornage M. Admixture mapping of cognitive function in diverse Hispanic and Latino adults: Results from the Hispanic Community Health Study/Study of Latinos. Alzheimer's & Dementia 2024, 20: 6070-6081. PMID: 38946675, PMCID: PMC11497725, DOI: 10.1002/alz.14082.Peer-Reviewed Original ResearchSingle nucleotide polymorphismsLatino adultsAssociated to cognitive functionAdmixture mappingHispanic Community Health Study/Study of LatinosCognitive functionHispanic Community Health Study/StudyPrioritized single nucleotide polymorphismsGenetic variantsGenome-wide association studiesNon-Hispanic whitesFine-mapping analysisLoci harboring genesSample of BlackHispanic/Latino adultsPhosphoinositide lipid metabolismNeurocognitive measuresIndependent replicationAdmixture signalsUnique haplotypesGenetic architectureChromosomal regionsHarboring genesAssociation studiesNucleotide polymorphismsA genetic association study of circulating coagulation factor VIII and von Willebrand factor levels
de Vries P, Reventun P, Brown M, Heath A, Huffman J, Le N, Bebo A, Brody J, Temprano-Sagrera G, Raffield L, Ozel A, Thibord F, Jain D, Lewis J, Rodriguez B, Pankratz N, Taylor K, Polasek O, Chen M, Yanek L, Carrasquilla G, Marioni R, Kleber M, Trégouët D, Yao J, Li-Gao R, Joshi P, Trompet S, Martinez-Perez A, Ghanbari M, Howard T, Reiner A, Arvanitis M, Ryan K, Bartz T, Rudan I, Faraday N, Linneberg A, Ekunwe L, Davies G, Delgado G, Suchon P, Guo X, Rosendaal F, Klaric L, Noordam R, van Rooij F, Curran J, Wheeler M, Osburn W, O'Connell J, Boerwinkle E, Beswick A, Psaty B, Kolcic I, Souto J, Becker L, Hansen T, Doyle M, Harris S, Moissl A, Deleuze J, Rich S, van Hylckama Vlieg A, Campbell H, Stott D, Soria J, de Maat M, Almasy L, Brody L, Auer P, Mitchell B, Ben-Shlomo Y, Fornage M, Hayward C, Mathias R, Kilpeläinen T, Lange C, Cox S, März W, Morange P, Rotter J, Mook-Kanamori D, Wilson C, van der Harst P, Jukema J, Ikram M, Blangero J, Kooperberg C, Desch K, Johnson A, Sabater-Lleal M, Lowenstein C, Smith A, Morrison A, Abe N, Abecasis G, Aguet F, Albert C, Almasy L, Alonso A, Ament S, Anderson P, Anugu P, Applebaum-Bowden D, Ardlie K, Arking D, Arnett D, Ashley-Koch A, Aslibekyan S, Assimes T, Auer P, Avramopoulos D, Ayas N, Balasubramanian A, Barnard J, Barnes K, Barr R, Barron-Casella E, Barwick L, Beaty T, Beck G, Becker D, Becker L, Beer R, Beitelshees A, Benjamin E, Benos T, Bezerra M, Bielak L, Bis J, Blackwell T, Blangero J, Blue N, Boerwinkle E, Bowden D, Bowler R, Brody J, Broeckel U, Broome J, Brown D, Bunting K, Burchard E, Bustamante C, Buth E, Cade B, Cardwell J, Carey V, Carrier J, Carson A, Carty C, Casaburi R, Romero J, Casella J, Castaldi P, Chaffin M, Chang C, Chang Y, Chasman D, Chavan S, Chen B, Chen W, Chen Y, Cho M, Choi S, Chuang L, Chung M, Chung R, Clish C, Comhair S, Conomos M, Cornell E, Correa A, Crandall C, Crapo J, Cupples L, Curran J, Curtis J, Custer B, Damcott C, Darbar D, David S, Davis C, Daya M, de Andrade M, de las Fuentes L, de Vries P, DeBaun M, Deka R, DeMeo D, Devine S, Dinh H, Doddapaneni H, Duan Q, Dugan-Perez S, Duggirala R, Durda J, Dutcher S, Eaton C, Ekunwe L, Boueiz A, Ellinor P, Emery L, Erzurum S, Farber C, Farek J, Fingerlin T, Flickinger M, Fornage M, Franceschini N, Frazar C, Fu M, Fullerton S, Fulton L, Gabriel S, Gan W, Gao S, Gao Y, Gass M, Geiger H, Gelb B, Geraci M, Germer S, Gerszten R, Ghosh A, Gibbs R, Gignoux C, Gladwin M, Glahn D, Gogarten S, Gong D, Goring H, Graw S, Gray K, Grine D, Gross C, Gu C, Guan Y, Guo X, Gupta N, Haessler J, Hall M, Han Y, Hanly P, Harris D, Hawley N, He J, Heavner B, Heckbert S, Hernandez R, Herrington D, Hersh C, Hidalgo B, Hixson J, Hobbs B, Hokanson J, Hong E, Hoth K, Hsiung C, Hu J, Hung Y, Huston H, Hwu C, Irvin M, Jackson R, Jain D, Jaquish C, Johnsen J, Johnson C, Johnson A, Johnston R, Jones K, Kang H, Kaplan R, Kardia S, Kelly S, Kenny E, Kessler M, Khan A, Khan Z, Kim W, Kimoff J, Kinney G, Konkle B, Kooperberg C, Kramer H, Lange E, Lange L, Lange L, Laurie C, Laurie C, LeBoff M, Lee J, Lee S, Lee W, LeFaive J, Levine D, Levy D, Lewis J, Li X, Li Y, Lin H, Lin H, Lin X, Liu S, Liu Y, Liu Y, Loos R, Lubitz S, Lunetta K, Luo J, Magalang U, Mahaney M, Make B, Manichaikul A, Manning A, Manson J, Martin L, Marton M, Mathai S, Mathias R, May S, McArdle P, McDonald M, McFarland S, McGarvey S, McGoldrick D, McHugh C, McNeil B, Mei H, Meigs J, Menon V, Mestroni L, Metcalf G, Meyers D, Mignot E, Mikulla J, Min N, Minear M, Minster R, Mitchell B, Moll M, Momin Z, Montasser M, Montgomery C, Muzny D, Mychaleckyj J, Nadkarni G, Naik R, Naseri T, Natarajan P, Nekhai S, Nelson S, Neltner B, Nessner C, Nickerson D, Nkechinyere O, North K, O'Connell J, O'Connor T, Ochs-Balcom H, Okwuonu G, Pack A, Paik D, Palmer N, Pankow J, Papanicolaou G, Parker C, Peloso G, Peralta J, Perez M, Perry J, Peters U, Peyser P, Phillips L, Pleiness J, Pollin T, Post W, Becker J, Boorgula M, Preuss M, Psaty B, Qasba P, Qiao D, Qin Z, Rafaels N, Raffield L, Rajendran M, Ramachandran V, Rao D, Rasmussen-Torvik L, Ratan A, Redline S, Reed R, Reeves C, Regan E, Reiner A, Reupena M, Rice K, Rich S, Robillard R, Robine N, Roden D, Roselli C, Rotter J, Ruczinski I, Runnels A, Russell P, Ruuska S, Ryan K, Sabino E, Saleheen D, Salimi S, Salvi S, Salzberg S, Sandow K, Sankaran V, Santibanez J, Schwander K, Schwartz D, Sciurba F, Seidman C, Seidman J, Sériès F, Sheehan V, Sherman S, Shetty A, Shetty A, Sheu W, Shoemaker M, Silver B, Silverman E, Skomro R, Smith J, Smith J, Smith N, Smith T, Smith E, Smoller S, Snively B, Snyder M, Sofer T, Sotoodehnia N, Stilp A, Storm G, Streeten E, Su J, Sung Y, Sylvia J, Szpiro A, Taliun D, Tang H, Taub M, Taylor K, Taylor M, Taylor S, Telen M, Thornton T, Threlkeld M, Tinker L, Tirschwell D, Tishkoff S, Tiwari H, Tong C, Tracy R, Tsai M, Vaidya D, Van Den Berg D, VandeHaar P, Vrieze S, Walker T, Wallace R, Walts A, Wang F, Wang H, Wang J, Watson K, Watt J, Weeks D, Weinstock J, Weir B, Weiss S, Weng L, Wessel J, Willer C, Williams K, Williams L, Wilson J, Wilson J, Winterkorn L, Wong Q, Wu J, Xu H, Yanek L, Yang I, Yu K, Zekavat S, Zhang Y, Zhao S, Zhao W, Zhu X, Ziv E, Zody M, Zoellner S, Lindstrom S, Wang L, Smith N, Gordon W, van Hylckama Vlieg A, de Andrade M, Brody J, Pattee J, Haessler J, Brumpton B, Chasman D, Suchon P, Chen M, Turman C, Germain M, Wiggins K, MacDonald J, Braekkan S, Armasu S, Pankratz N, Jackson R, Nielsen J, Giulianini F, Puurunen M, Ibrahim M, Heckbert S, Bammler T, Frazer K, McCauley B, Taylor K, Pankow J, Reiner A, Gabrielsen M, Deleuze J, O'Donnell C, Kim J, McKnight B, Kraft P, Hansen J, Rosendaal F, Heit J, Psaty B, Tang W, Kooperberg C, Hveem K, Ridker P, Morange P, Johnson A, Kabrhel C, AlexandreTrégouët D, Smith N. A genetic association study of circulating coagulation factor VIII and von Willebrand factor levels. Blood 2024, 143: 1845-1855. PMID: 38320121, DOI: 10.1182/blood.2023021452.Peer-Reviewed Original ResearchMendelian randomizationGene-based aggregation testingImputation of genotypesGene-based analysisMulti-phenotype analysisAssociations of factor VIIIGenetic association studiesHuman umbilical vein endothelial cellsCausal genesTrans-OmicsAssociation studiesB3GNT2Genetic associationVon Willebrand factorProtein von Willebrand factorLociIdentified associationsPDIA3Umbilical vein endothelial cellsIncreased riskMeta-analysisCarrier protein von Willebrand factorVein endothelial cellsPrecision medicineEndothelial cells434. Improving Image Accuracy in Low-Field Magnetic Resonance Imaging to Make Accessible Biomarkers for Psychiatric Disorders
Cooper R, Hayes R, Corcoran M, Sheth K, Arnold T, Stein J, Glahn D, Jalbrzikowski M. 434. Improving Image Accuracy in Low-Field Magnetic Resonance Imaging to Make Accessible Biomarkers for Psychiatric Disorders. Biological Psychiatry 2024, 95: s277-s278. DOI: 10.1016/j.biopsych.2024.02.933.Peer-Reviewed Original Research409. Cortico-Thalamic Structural Co-Variation Networks are Related to Familial Risk for Schizophrenia in the Context of Lower Nuclei Volume Estimates in Patients: An ENIGMA Study
Lella A, Antonucci L, Weinberger D, Glahn D, Sim K, Gruber O, Chung Y, Sugranyes G, Clote E, Marcelis M, Kircher T, Van Rheenen T, Sponheim S, Dannlowski U, Iasevoli F, Pearlson G, Green M, Spalletta G, Lee T, Turner J, van Erp T, Thompson P, Bertolino A, Pergola G. 409. Cortico-Thalamic Structural Co-Variation Networks are Related to Familial Risk for Schizophrenia in the Context of Lower Nuclei Volume Estimates in Patients: An ENIGMA Study. Biological Psychiatry 2024, 95: s267-s268. DOI: 10.1016/j.biopsych.2024.02.908.Peer-Reviewed Original Research417. Diagnostic Complexity, Symptomatology, and Functioning in Two Early-Onset Psychosis Family Studies: Epicenter and Epimex
Mollon J, Mathias S, Lanzagorta N, Rodrigue A, Knowles E, Deaso E, Cadavid L, Saavedra J, Phelps E, Polat N, Brownstein C, D’Angelo E, Deo A, Gonzalez-Heydrich J, Sarmiento E, Walsh C, Almasy L, Nicolini H, Glahn D. 417. Diagnostic Complexity, Symptomatology, and Functioning in Two Early-Onset Psychosis Family Studies: Epicenter and Epimex. Biological Psychiatry 2024, 95: s270-s271. DOI: 10.1016/j.biopsych.2024.02.916.Peer-Reviewed Original Research8. The Relationship Between Treatment, Symptom Severity, and Brain Connectivity in Bipolar Disorder: An International Study Across 16 Enigma-Bipolar Sites
Nabulsi L, Kang M, Jahanshad N, Haarman B, McDonald C, Stein D, Glahn D, Pomarol-Clotet E, Vieta E, Houenou J, Favre P, Polosan M, Brambilla P, Bellani M, Mitchell P, Dannlowski U, Wessa M, Phillips M, Kircher T, Thompson P, Andreassen O, Ching C, Cannon D, Group E. 8. The Relationship Between Treatment, Symptom Severity, and Brain Connectivity in Bipolar Disorder: An International Study Across 16 Enigma-Bipolar Sites. Biological Psychiatry 2024, 95: s76-s77. DOI: 10.1016/j.biopsych.2024.02.186.Peer-Reviewed Original Research
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