Examining the independent and joint effects of genomic and exposomic liabilities for schizophrenia across the psychosis spectrum

L.K. Pries, G.A. Dal Ferro, J. van Os, P. Delespaul, G. Kenis, B.D. Lin, J.J. Luykx, A.L. Richards, B. Akdede, T. Binbay, V. Altinyazar, B. Yalincetin, G. Gumus-Akay, B. Cihan, H. Soygur, H. Ulas, E.S. Cankurtaran, S.U. Kaymak, M.M. Mihaljevic, S.A. PetrovicT. Mirjanic, M. Bernardo, G. Mezquida, S. Amoretti, J. Bobes, P.A. Saiz, M.P. Garcia-Portilla, J. Sanjuan, E.J. Aguilar, J.L. Santos, E. Jimenez-Lopez, M. Arrojo, A. Carracedo, G. Lopez, J. Gonzalez-Penas, M. Parellada, N.P. Maric, C. Atbasoglu, A. Ucok, K. Alptekin, M.C. Saka, C. Arango, M. O'Donovan, S. Tosato, B.P.F. Rutten, S. Guloksuz*, R.i.s.k. Genetic, Genetic Risk and Outcome of Psychosis (GROUP) Investigators

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

14 Citations (Web of Science)

Abstract

Aims

Psychosis spectrum disorder has a complex pathoetiology characterised by interacting environmental and genetic vulnerabilities. The present study aims to investigate the role of gene-environment interaction using aggregate scores of genetic (polygenic risk score for schizophrenia (PRS-SCZ)) and environment liability for schizophrenia (exposome score for schizophrenia (ES-SCZ)) across the psychosis continuum.

Methods

The sample consisted of 1699 patients, 1753 unaffected siblings, and 1542 healthy comparison participants. The Structured Interview for Schizotypy-Revised (SIS-R) was administered to analyse scores of total, positive, and negative schizotypy in siblings and healthy comparison participants. The PRS-SCZ was trained using the Psychiatric Genomics Consortiums results and the ES-SCZ was calculated guided by the approach validated in a previous report in the current data set. Regression models were applied to test the independent and joint effects of PRS-SCZ and ES-SCZ (adjusted for age, sex, and ancestry using 10 principal components).

Results

Both genetic and environmental vulnerability were associated with case-control status. Furthermore, there was evidence for additive interaction between binary modes of PRS-SCZ and ES-SCZ (above 75% of the control distribution) increasing the odds for schizophrenia spectrum diagnosis (relative excess risk due to interaction = 6.79, [95% confidential interval (CI) 3.32, 10.26], p < 0.001). Sensitivity analyses using continuous PRS-SCZ and ES-SCZ confirmed gene-environment interaction (relative excess risk due to interaction = 1.80 [95% CI 1.01, 3.32], p = 0.004). In siblings and healthy comparison participants, PRS-SCZ and ES-SCZ were associated with all SIS-R dimensions and evidence was found for an interaction between PRS-SCZ and ES-SCZ on the total (B = 0.006 [95% CI 0.003, 0.009], p < 0.001), positive (B = 0.006 [95% CI, 0.002, 0.009], p = 0.002), and negative (B = 0.006, [95% CI 0.004, 0.009], p < 0.001) schizotypy dimensions.

Conclusions

The interplay between exposome load and schizophrenia genetic liability contributing to psychosis across the spectrum of expression provide further empirical support to the notion of aetiological continuity underlying an extended psychosis phenotype.

Original languageEnglish
Article number182
Number of pages10
JournalEpidemiology and Psychiatric Sciences
Volume29
DOIs
Publication statusPublished - 17 Nov 2020

Keywords

  • association
  • birth
  • childhood trauma
  • environment
  • gene-environment
  • genetics
  • metaanalysis
  • population
  • psychosis
  • reliability
  • risk
  • schizotypy
  • structured interview
  • validation
  • POPULATION
  • METAANALYSIS
  • RELIABILITY
  • GENE-ENVIRONMENT
  • BIRTH
  • VALIDATION
  • RISK
  • CHILDHOOD TRAUMA
  • Environment
  • ASSOCIATION
  • STRUCTURED INTERVIEW

Cite this