2024
W74. MULTI-OMICS ANALYSIS OF INTERMEDIATE PHENOTYPES REVEALS NEW RISK GENES AND PATHWAYS IN PSYCHOTIC DISORDERS
Xia C, Alliey-Rodriguez N, Tamminga C, Keshavan M, Pearlson G, Keedy S, Parker D, Bishop J, Chen C, Liu C, Gershon E. W74. MULTI-OMICS ANALYSIS OF INTERMEDIATE PHENOTYPES REVEALS NEW RISK GENES AND PATHWAYS IN PSYCHOTIC DISORDERS. European Neuropsychopharmacology 2024, 87: 141-142. DOI: 10.1016/j.euroneuro.2024.08.283.Peer-Reviewed Original ResearchTranscriptome-wide association studyGenome-wide complex trait analysisPotential causal genesQuantitative Trait LociRisk genesEvent-related potentialsPolygenic risk scoresIntermediate phenotypesGene OntologyCase-control statusPsychotic disordersComplex trait analysisGenotype principal componentsIdentified risk genesGenetic correlationsMulti-omics analysisMendelian randomizationPRS-CSxPsychosis risk genesCausal genesAssociation studiesGenomic characteristicsDetect significant associationsGene associationsBipolar-Schizophrenia NetworkGyrification across psychotic disorders: A bipolar-schizophrenia network of intermediate phenotypes study
Rychagov N, Del Re E, Zeng V, Oykhman E, Lizano P, McDowell J, Yassin W, Clementz B, Gershon E, Pearlson G, Sweeney J, Tamminga C, Keshavan M. Gyrification across psychotic disorders: A bipolar-schizophrenia network of intermediate phenotypes study. Schizophrenia Research 2024, 271: 169-178. PMID: 39032429, PMCID: PMC11384321, DOI: 10.1016/j.schres.2024.07.009.Peer-Reviewed Original ResearchBipolar-Schizophrenia NetworkPsychotic disordersDSM-IVIntermediate Phenotypes studyGyrification changesSchizophrenia compared to controlsBipolar I disorderRight cingulate cortexSchizoaffective disorder probandsBipolar disorder probandsDisorders compared to controlsAge-related differencesSchizoaffective disorderCingulate cortexVerbal memoryBipolar disorderAge-related changesFalse discovery rate correctionSchizophreniaCortical gyrificationHypogyriaFrontal lobeGyrificationDisordersHealthy controls449. Replication of Hallucination Severity Associating With Reduced Auditory-Language Cortex Connectivity in a Biological Subtype of Psychotic Disorders
Toscano I, Tamminga C, Ivleva E, Clementz B, McDowell J, Pearlson G, Keshavan M, Gershon E, Keedy S. 449. Replication of Hallucination Severity Associating With Reduced Auditory-Language Cortex Connectivity in a Biological Subtype of Psychotic Disorders. Biological Psychiatry 2024, 95: s283-s284. DOI: 10.1016/j.biopsych.2024.02.948.Peer-Reviewed Original ResearchEnlarged pituitary gland volume: a possible state rather than trait marker of psychotic disorders.
Guimond S, Alftieh A, Devenyi G, Mike L, Chakravarty M, Shah J, Parker D, Sweeney J, Pearlson G, Clementz B, Tamminga C, Keshavan M. Enlarged pituitary gland volume: a possible state rather than trait marker of psychotic disorders. Psychological Medicine 2024, 54: 1835-1843. PMID: 38357733, PMCID: PMC11132920, DOI: 10.1017/s003329172300380x.Peer-Reviewed Original ResearchPituitary gland volumePsychotic disordersSymptom severityAntipsychotic doseIllness durationCognitive functionAssociated with greater symptom severitySignificant effect of diagnosisAssociated with symptom severityHigher antipsychotic dosePituitary volumeBipolar-Schizophrenia NetworkIntermediate Phenotypes consortiumStructural magnetic resonance imagingProgression of psychosisGreater symptom severityEffect of diagnosisLower cognitive functionMore severe symptomsSample of individualsTransdiagnostic sampleMAGeT Brain algorithmGland volumeTrait markerBetween-group differences
2023
Supervised machine learning classification of psychosis biotypes based on brain structure: findings from the Bipolar-Schizophrenia network for intermediate phenotypes (B-SNIP)
Koen J, Lewis L, Rugg M, Clementz B, Keshavan M, Pearlson G, Sweeney J, Tamminga C, Ivleva E. Supervised machine learning classification of psychosis biotypes based on brain structure: findings from the Bipolar-Schizophrenia network for intermediate phenotypes (B-SNIP). Scientific Reports 2023, 13: 12980. PMID: 37563219, PMCID: PMC10415369, DOI: 10.1038/s41598-023-38101-0.Peer-Reviewed Original ResearchConceptsPsychosis biotypesPsychosis casesBrain-based biomarkersLogistic regression modelsT1-weighted imagesBipolar-Schizophrenia NetworkHealthy controlsDisease neurobiologyPsychotic disordersClinical diagnosisStructural MRIBrain structuresGrey matter density mapsDSM diagnosesEvidence of specificityAbove-chance classification accuracyPeripheral inflammation is associated with impairments of inhibitory behavioral control and visual sensorimotor function in psychotic disorders
Zhang L, Lizano P, Xu Y, Rubin L, Lee A, Lencer R, Reilly J, Keefe R, Keedy S, Pearlson G, Clementz B, Keshavan M, Gershon E, Tamminga C, Sweeney J, Hill S, Bishop J. Peripheral inflammation is associated with impairments of inhibitory behavioral control and visual sensorimotor function in psychotic disorders. Schizophrenia Research 2023, 255: 69-78. PMID: 36965362, PMCID: PMC10175233, DOI: 10.1016/j.schres.2023.03.030.Peer-Reviewed Original ResearchConceptsCognitive domainsInhibitory controlGeneral cognitive abilitySpecific cognitive domainsInhibitory behavioral controlC-reactive proteinPsychotic disordersPsychosis spectrum disordersCognitive abilitiesPeripheral inflammationInflammation factorsSpectrum disorderSensorimotor functionSensorimotor tasksNeurobehavioral domainsGreater deficitsSubgroup of individualsBehavioral controlPsychosis subgroupsCognitive impairmentPreliminary evidenceHigher inflammation scoresNeurobehavioral batteryBrain anatomyBehavioral monitoring
2020
T67. TRAUMA IN AFFECTIVE AND NONAFFECTIVE PSYCHOSIS: ASSOCIATIONS AND DISSOCIATIONS WITH COGNITIVE FUNCTIONING IN CHILDHOOD AND ADULTHOOD
Mollon J, Knowles E, Mathias S, Rodrigue A, Koenis M, Pearlson G, Glahn D. T67. TRAUMA IN AFFECTIVE AND NONAFFECTIVE PSYCHOSIS: ASSOCIATIONS AND DISSOCIATIONS WITH COGNITIVE FUNCTIONING IN CHILDHOOD AND ADULTHOOD. Schizophrenia Bulletin 2020, 46: s256-s257. PMCID: PMC7234213, DOI: 10.1093/schbul/sbaa029.627.Peer-Reviewed Original ResearchAffective psychosis groupNon-psychotic psychiatric disordersPsychotic disordersAdult traumaPsychosis groupChildhood Trauma QuestionnaireChildhood traumaTrauma History QuestionnairePsychiatric disordersCognitive functioningLifetime traumaImportant risk factorCase-control studyNonaffective psychotic disordersNon-psychotic groupAffective psychotic disordersManifestation of psychosisChildhood neglectAfrican American adultsNeurodevelopmental impairmentMore lifetime traumasRisk factorsAffective psychosisNonaffective psychosisHistory questionnaire
2017
205. Machine Learning to Further Improve Classification of Psychotic Disorders Using Clinical and Biological Stratification: Updates From the Bipolar Schizophrenia Network for Intermediate Phenotypes (BSNIP)
Tandon N, Sudarshan M, Mothi S, Clementz B, Pearlson G, Sweeney J, Tamminga C, Keshavan M. 205. Machine Learning to Further Improve Classification of Psychotic Disorders Using Clinical and Biological Stratification: Updates From the Bipolar Schizophrenia Network for Intermediate Phenotypes (BSNIP). Schizophrenia Bulletin 2017, 43: s105-s105. PMCID: PMC5475741, DOI: 10.1093/schbul/sbx021.283.Peer-Reviewed Original ResearchM94. Genetic Analyses of Cognitive Performance in Psychotic Disorders From the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) Consortium
Bishop J, Hill S, Mills L, Alliey-Rodriguez N, Reilly J, Shaffee R, McCarroll S, Keefe R, Pearlson G, Clementz B, Tamminga C, Keshavan M, Gershon E, Sweeney J. M94. Genetic Analyses of Cognitive Performance in Psychotic Disorders From the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) Consortium. Schizophrenia Bulletin 2017, 43: s245-s245. PMCID: PMC5475991, DOI: 10.1093/schbul/sbx022.089.Peer-Reviewed Original ResearchEpigenetic gene regulationQuantitative trait phenotypesGenomes reference panelChromatin regulationGene regulationGWAS approachMicroRNA genesSNP markersTrait phenotypesNumerous SNPsGenetic lociGenetic analysisChromosome 6Allele dosageGenesAfrican ancestryGenetic contributorsSuggestive associationReference panelAncestry groupsLociBrain structuresPsychotic disordersIntermediate Phenotypes (B-SNIP) consortiumSNPsGenome-Wide Association Studies Of Smooth Pursuit Eye Movements Across Psychotic Disorders: Preliminary Findings From The B-Snip Sample
Lencer R, Mills L, Alliey-Rodriguez N, Reilly J, Sprenger A, McDowell J, Keshavan M, Pearlson G, McCarroll S, Tamminga C, Clementz B, Gershon E, Sweeney J, Bishop J. Genome-Wide Association Studies Of Smooth Pursuit Eye Movements Across Psychotic Disorders: Preliminary Findings From The B-Snip Sample. European Neuropsychopharmacology 2017, 27: s489. DOI: 10.1016/j.euroneuro.2016.09.580.Peer-Reviewed Original ResearchPursuit maintenancePsychotic disordersSmooth pursuit eye movementsSensorimotor processingEye movement dysfunctionSignificant neurological disordersSevere mental illnessRecent substance abusePursuit eye movementsYears of ageFunctional brain systemsPursuit deficitSensorimotor deficitsPursuit initiationBipolar-Schizophrenia NetworkPsychosis probandsEye accelerationMovement dysfunctionInterhemispheric connectionsIntermediate Phenotypes (B-SNIP) studyNeurophysiological consequencesPrimary analysisBipolar disorderMental illnessNeurological disorders
2015
A-38Exploratory and Confirmatory Factor Analysis Converge on a Unitary Construct Underlying BACS Performance Across Psychotic Disorders, Their First-Degree Relatives, and Healthy Volunteers
Hochberger W, Hill S, Nelson C, Pearlson G, Keshavan M, Tamminga C, Sweeney J, Reilly J. A-38Exploratory and Confirmatory Factor Analysis Converge on a Unitary Construct Underlying BACS Performance Across Psychotic Disorders, Their First-Degree Relatives, and Healthy Volunteers. Archives Of Clinical Neuropsychology 2015, 30: 499-500. DOI: 10.1093/arclin/acv047.38.Peer-Reviewed Original Research