•연구자: 정보통계보험수리학부 정원일
•발표일: 2025.4.11
•DOI: https://doi.org/10.1017/S0033291725000753
•Fatima Zahra Rami et al., Psychological Medicine(Q1), Volume 55, e111, 1-12, 2025
•Abstract
Background. Emerging evidence indicates that gene–environment interactions (GEIs) are important underlying mechanisms for the development of schizophrenia (SZ). We investigated the associations of polygenic risk score for SZ (PRS-SZ), environmental measures, and their interactions with case–control status and clinical phenotypes among patients with schizophrenia spectrum disorders (SSDs).
Methods. The PRS-SZ for 717 SSD patients and 356 healthy controls (HCs) were calculated using the LDpred model. The Korea-Polyenvironmental Risk Score-I (K-PERS-I) and Early Trauma Inventory-Self Report (ETI-SR) were utilized as environmental measures. Logistic and linear regression analyses were performed to identify the associations of PRS-SZ and two environmental measures with case–control status and clinical phenotypes.
Results. The PRS-SZ explained 8.7% of SZ risk. We found greater associations of PRS-SZ and total scores of the K-PERS-I with case–control status compared to the ETI-SR total score. A significant additive interaction was found between PRS-SZ and K-PERS-I. With the subdomains of the K-PERS-I and ETI-SR, we identified significant multiplicative or additive interactions of PRS-SZ and parental socioeconomic status (pSES), childhood adversity, and recent life events in association with case–control status. For clinical phenotypes, significant interactions were observed between PRS-SZ and the ETI-SR total score for negative-self and between PRS-SZ and obstetric complications within the K-PERS-I for negative-others.
Conclusions. Our findings suggest that the use of aggregate scores for genetic and environmental measures, PRS-SZ and K-PERS-I, can more accurately predict case–control status, and specific environmental measures may be more suitable for the exploration of GEIs.