Examining the association between exposome score for schizophrenia and functioning in schizophrenia, siblings, and healthy controls: Results from the EUGEI study

2021-03-01
Erzin, Gamze
Pries, Lotta-Katrin
van Os, Jim
Fusar-Poli, Laura
Delespaul, Philippe
Kenis, Gunter
Luykx, Jurjen J.
Lin, Bochao D.
Richards, Alexander L.
Akdede, Berna
Binbay, Tolga
ALTINYAZAR, VESİLE
Yalincetin, Berna
GÜMÜŞ-AKAY, GÜVEM
Cihan, Burçin
Soygur, Haldun
ULAŞ, HALİS
Cankurtaran, Eylem Sahin
Kaymak, Semra Ulusoy
Mihaljevic, Marina M.
Andric-Petrovic, Sanja
Mirjanic, Tijana
Bernardo, Miguel
Mezquida, Gisela
Amoretti, Silvia
Bobes, Julio
Saiz, Pilar A.
Garcia-Portilla, Maria Paz
Sanjuan, Julio
Aguilar, Eduardo J.
Santos, Jose Luis
Jimenez-Lopez, Estela
Arrojo, Manuel
Carracedo, Angel
Lopez, Gonzalo
Gonzalez-Penas, Javier
Parellada, Mara
Maric, Nadja P.
Atbasoglu, Cem
Ucok, Alp
ALPTEKİN, KÖKSAL
Saka, Meram Can
Arango, Celso
O'Donovan, Micheal C.
Rutten, Bart P. F.
Guloksuz, Sinan
Background A cumulative environmental exposure score for schizophrenia (exposome score for schizophrenia [ES-SCZ]) may provide potential utility for risk stratification and outcome prediction. Here, we investigated whether ES-SCZ was associated with functioning in patients with schizophrenia spectrum disorder, unaffected siblings, and healthy controls. Methods This cross-sectional sample consisted of 1,261 patients, 1,282 unaffected siblings, and 1,525 healthy controls. The Global Assessment of Functioning (GAF) scale was used to assess functioning. ES-SCZ was calculated based on our previously validated method. The association between ES-SCZ and the GAF dimensions (symptom and disability) was analyzed by applying regression models in each group (patients, siblings, and controls). Additional models included polygenic risk score for schizophrenia (PRS-SCZ) as a covariate. Results ES-SCZ was associated with the GAF dimensions in patients (symptom: B = -1.53, p-value = 0.001; disability: B = -1.44, p-value = 0.001), siblings (symptom: B = -3.07, p-value B = -2.52, p-value < 0.001), and healthy controls (symptom: B = -1.50, p-value B = -1.31, p-value < 0.001). The results remained the same after adjusting for PRS-SCZ. The degree of associations of ES-SCZ with both symptom and disability dimensions were higher in unaffected siblings than in patients and controls. By analyzing an independent dataset (the Genetic Risk and Outcome of Psychosis study), we replicated the results observed in the patient group. Conclusions Our findings suggest that ES-SCZ shows promise for enhancing risk prediction and stratification in research practice. From a clinical perspective, ES-SCZ may aid in efforts of clinical characterization, operationalizing transdiagnostic clinical staging models, and personalizing clinical management.
EUROPEAN PSYCHIATRY

Suggestions

Evidence, and replication thereof, that molecular-genetic and environmental risks for psychosis impact through an affective pathway
Van Os, Jim; et. al. (2022-07-19)
Background There is evidence that environmental and genetic risk factors for schizophrenia spectrum disorders are transdiagnostic and mediated in part through a generic pathway of affective dysregulation. Methods We analysed to what degree the impact of schizophrenia polygenic risk (PRS-SZ) and childhood adversity (CA) on psychosis outcomes was contingent on co-presence of affective dysregulation, defined as significant depressive symptoms, in (i) NEMESIS-2 (n = 6646), a representative general population s...
Examining the independent and joint effects of molecular genetic liability and environmental exposures in schizophrenia: results from the EUGEI study
Guloksuz, Sinan; et. al. (Wiley, 2019-06-01)
Schizophrenia is a heritable complex phenotype associated with a background risk involving multiple common genetic variants of small effect and a multitude of environmental exposures. Early twin and family studies using proxy-genetic liability measures suggest gene-environment interaction in the etiology of schizophrenia spectrum disorders, but the molecular evidence is scarce. Here, by analyzing the main and joint associations of polygenic risk score for schizophrenia (PRS-SCZ) and environmental exposures ...
The prediction power of machine learning on estimating the sepsis mortality in the intensive care unit
Selcuk, Mehtap; Koç, Oğuz; Kestel, Sevtap Ayşe (2022-01-01)
Background: The prediction of sepsis mortality of intensive care unit (ICU) observations using machine learning (ML) methods is hypothesized to yield better or as good as performance compared to the prognostic scores. This paper aims to show that the accuracy of ML in sepsis mortality estimation can be superior and supportive knowledge to SAPS II, APACHE II, and SOFA (traditional) scores even under small sample restrictions. Methods: The retrospective collection of data from the patients (n = 200) admitted ...
Understanding Somatic Symptoms: A Mixed Method Investigation of Predictors and Experiences
Paker, Melisa Aşkım; Canel Çınarbaş, Deniz; Department of Psychology (2021-10)
The present study was a mixed design research aimed to investigate possible predictors of somatic symptoms and participants’ subjective conceptualization of those symptoms in non-patient population. For the quantitative part of the study, 326 participants aged between 19 and 65 were given Socioeconomic Status Scale, Brief Symptom Inventory, Emotional Non-Expressiveness Subscale for Type-C Behavior and IND-COL Scale. The association between age, socioeconomic status, emotional non-expressiveness, individuali...
Analysis of factors affecting baseline SF-36 Mental Component Summary in Adult Spinal Deformity and its impact on surgical outcomes
Mmopelwa, Tiro; Ayhan, Selim; Yuksel, Selcen; Nabiyev, Vugar; Niyazi, Asli; Pellise, Ferran; Alanay, Ahmet; Sanchez Perez Grueso, Francisco Javier; Kleinstuck, Frank; Obeid, Ibrahim; Acaroglu, Emre (AVES Publishing Co., 2018-5)
Objectives: To identify the factors that affect SF-36 mental component summary (MCS) in patients with adult spinal deformity (ASD) at the time of presentation, and to analyse the effect of SF-36 MCS on clinical outcomes in surgically treated patients. Methods: Prospectively collected data from a multicentric ASD database was analysed for baseline parameters. Then, the same database for surgically treated patients with a minimum of 1-year follow-up was analysed to see the effect of baseline SF-36 MCS on t...
Citation Formats
G. Erzin et al., “Examining the association between exposome score for schizophrenia and functioning in schizophrenia, siblings, and healthy controls: Results from the EUGEI study,” EUROPEAN PSYCHIATRY, pp. 0–0, 2021, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/90381.