2024
T78. GENE-ENVIRONMENT INTERACTION STUDY ON THE CORRELATES FOR PSYCHOTIC EXPERIENCES IN THE UK BIOBANK
Lin B, Pries L, Magnasco A, Gülöksüz S. T78. GENE-ENVIRONMENT INTERACTION STUDY ON THE CORRELATES FOR PSYCHOTIC EXPERIENCES IN THE UK BIOBANK. European Neuropsychopharmacology 2024, 87: 195-196. DOI: 10.1016/j.euroneuro.2024.08.388.Peer-Reviewed Original ResearchExposome-wide association studyPolygenic risk scoresPRS-SCZGene-environment interactionsGene-environment interaction studiesPsychotic experiencesAssociation studiesPhysical health outcomesLogistic regression modelsNon-psychotic disordersHealth outcomesUK BiobankMental distressNominal significanceRisk scoreMedical conditionsSleep problemsSelf-harm behaviorsRegression modelsAdditive interactionGxE interactionsAgnostic analysisGxEGenetic underpinningsExposure to PE
2020
Minor Physical Anomalies in Bipolar Disorder
İnce B, Altinoz M, Ayran A, Cansız A, Altinbaş K, Guloksuz S, Kurt E. Minor Physical Anomalies in Bipolar Disorder. Comprehensive Psychiatry 2020, 103: 152206. PMID: 33099105, DOI: 10.1016/j.comppsych.2020.152206.Peer-Reviewed Original ResearchConceptsBipolar disorderMinor physical anomaliesBD patientsHealthy subjectsHigh arched palatePhysical anomaliesAuricular anomaliesPsychiatric disordersCleft lipPathogenesis pathwaysPatientsMinor anomaliesDeletion syndromeDisordersSecond pharyngeal archesDorsal endPalateSchizophreniaRegression modelsAuriclePharyngeal archesFirst pharyngeal archArchNew endophenotypesSubjects
2019
Phenotypic factors associated with amisulpride‐induced weight gain in first‐episode psychosis patients (from the OPTiMiSE cohort)
Pandit R, Cianci D, Hark S, Rossum I, Ebdrup B, Broberg B, Garcia‐Portilla M, Bobes J, Vinkers C, Kahn R, Guloksuz S, Huitema A, Luykx J. Phenotypic factors associated with amisulpride‐induced weight gain in first‐episode psychosis patients (from the OPTiMiSE cohort). Acta Psychiatrica Scandinavica 2019, 140: 283-290. PMID: 31323113, PMCID: PMC6771865, DOI: 10.1111/acps.13074.Peer-Reviewed Original ResearchConceptsFirst-episode psychosis patientsPsychosis patientsWeight gainSchizophreniform disorderAntipsychotic-induced weight gainFirst-episode patientsManagement of schizophreniaLower baseline weightMultivariable regression modelsWeight-reducing strategiesOptimization of treatmentRegression modelsMajor depression disorderPhenotypic factorsAmisulpride treatmentBaseline weightEurope (Syst-Eur) trialMost antipsychoticsDepression disorderYoung subjectsBody weightPatientsBetter efficacyYounger ageAIWG
2018
Higher schizotypy predicts better metabolic profile in unaffected siblings of patients with schizophrenia
Atbasoglu E, Gumus-Akay G, Guloksuz S, Saka M, Ucok A, Alptekin K, Gullu S, van Os J. Higher schizotypy predicts better metabolic profile in unaffected siblings of patients with schizophrenia. Psychopharmacology 2018, 235: 1029-1039. PMID: 29306964, DOI: 10.1007/s00213-017-4818-z.Peer-Reviewed Original ResearchConceptsInsulin resistanceDopaminergic activityMetabolic profileHomeostatic model assessmentHDL-C levelsBetter metabolic profilesFavorable metabolic profilePancreatic insulin secretionUnaffected siblingsBeads taskResultsInsulin resistanceTertile groupRegression modelsCentral actionInsulin secretionGeneral populationGenetic predispositionGlucose metabolismModel assessmentSZ patientsRegulatory roleDirect actionSignificant predictorsHigher likelihoodLongitudinal study