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

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.

[1]  M. O’Donovan,et al.  Association of Recent Stressful Life Events With Mental and Physical Health in the Context of Genomic and Exposomic Liability for Schizophrenia. , 2020, JAMA psychiatry.

[2]  J. Os,et al.  Association of preceding psychosis risk states and non‐psychotic mental disorders with incidence of clinical psychosis in the general population: a prospective study in the NEMESIS‐2 cohort , 2020, World psychiatry : official journal of the World Psychiatric Association.

[3]  C. García-Rizo,et al.  Implications of early life stress on fetal metabolic programming of schizophrenia: A focus on epiphenomena underlying morbidity and early mortality , 2020, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[4]  J. Castro-Fornieles,et al.  Examining Gene-Environment Interactions Using Aggregate Scores in a First-Episode Psychosis Cohort. , 2020, Schizophrenia bulletin.

[5]  P. Delespaul,et al.  Polygenic liability for schizophrenia and childhood adversity influences daily‐life emotion dysregulation and psychosis proneness , 2020, Acta psychiatrica Scandinavica.

[6]  R. Murray,et al.  Non-Genetic Factors in Schizophrenia , 2019, Current Psychiatry Reports.

[7]  M. O’Donovan,et al.  Replicated evidence that endophenotypic expression of schizophrenia polygenic risk is greater in healthy siblings of patients compared to controls, suggesting gene–environment interaction. The EUGEI study , 2019, Psychological Medicine.

[8]  M. O’Donovan,et al.  Estimating Exposome Score for Schizophrenia Using Predictive Modeling Approach in Two Independent Samples: The Results From the EUGEI Study. , 2019, Schizophrenia bulletin.

[9]  M. O’Donovan,et al.  Examining the independent and joint effects of molecular genetic liability and environmental exposures in schizophrenia: results from the EUGEI study , 2019, World psychiatry : official journal of the World Psychiatric Association.

[10]  A. Danese,et al.  Agreement Between Prospective and Retrospective Measures of Childhood Maltreatment , 2019, JAMA psychiatry.

[11]  A. McIntosh,et al.  Genome-wide by environment interaction studies of depressive symptoms and psychosocial stress in UK Biobank and Generation Scotland , 2019, Translational Psychiatry.

[12]  L. Petersen,et al.  Polygenic Risk Scores, School Achievement, and Risk for Schizophrenia: A Danish Population-Based Study , 2018, Biological Psychiatry.

[13]  R. de Graaf,et al.  Interaction between environmental and familial affective risk impacts psychosis admixture in states of affective dysregulation , 2018, Psychological Medicine.

[14]  John P A Ioannidis,et al.  The Complexities of Evaluating the Exposome in Psychiatry: A Data-Driven Illustration of Challenges and Some Propositions for Amendments , 2018, Schizophrenia bulletin.

[15]  A. McIntosh,et al.  A validation of the diathesis-stress model for depression in Generation Scotland , 2018, bioRxiv.

[16]  A. Ronald,et al.  A systematic review of genome-wide research on psychotic experiences and negative symptom traits: new revelations and implications for psychiatry. , 2018, Human molecular genetics.

[17]  R. de Graaf,et al.  Evidence That Environmental and Familial Risks for Psychosis Additively Impact a Multidimensional Subthreshold Psychosis Syndrome , 2018, Schizophrenia bulletin.

[18]  Jakob Grove,et al.  Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection , 2018, Nature Genetics.

[19]  A. Malhotra,et al.  Stress-Dependent Association Between Polygenic Risk for Schizophrenia and Schizotypal Traits in Young Army Recruits , 2018, Schizophrenia bulletin.

[20]  J. Suvisaari,et al.  Interaction between compound genetic risk for schizophrenia and high birth weight contributes to social anhedonia and schizophrenia in women , 2018, Psychiatry Research.

[21]  R. Murray,et al.  What causes psychosis? An umbrella review of risk and protective factors , 2018, World psychiatry : official journal of the World Psychiatric Association.

[22]  David J. Porteous,et al.  Association Between Schizophrenia-Related Polygenic Liability and the Occurrence and Level of Mood-Incongruent Psychotic Symptoms in Bipolar Disorder , 2017, JAMA psychiatry.

[23]  Peter Kraft,et al.  Lessons Learned From Past Gene-Environment Interaction Successes , 2017, American journal of epidemiology.

[24]  T. Werge,et al.  Heritability of Schizophrenia and Schizophrenia Spectrum Based on the Nationwide Danish Twin Register , 2017, Biological Psychiatry.

[25]  J. Os,et al.  The slow death of the concept of schizophrenia and the painful birth of the psychosis spectrum , 2017, Psychological Medicine.

[26]  N. Wray,et al.  A direct test of the diathesis–stress model for depression , 2017, Molecular Psychiatry.

[27]  J. Castro-Fornieles,et al.  Modelling gene-environment interaction in first episodes of psychosis , 2017, Schizophrenia Research.

[28]  Alan M. Kwong,et al.  Next-generation genotype imputation service and methods , 2016, Nature Genetics.

[29]  Shane A. McCarthy,et al.  Reference-based phasing using the Haplotype Reference Consortium panel , 2016, Nature Genetics.

[30]  R. Brouwer,et al.  Increased risk of psychosis in patients with hearing impairment: Review and meta-analyses , 2016, Neuroscience & Biobehavioral Reviews.

[31]  Tyler J. VanderWeele,et al.  A Tutorial on Interaction , 2014 .

[32]  C. Spencer,et al.  Biological Insights From 108 Schizophrenia-Associated Genetic Loci , 2014, Nature.

[33]  D. Rujescu,et al.  Identifying gene-environment interactions in schizophrenia: contemporary challenges for integrated, large-scale investigations. , 2014, Schizophrenia bulletin.

[34]  P. Sham,et al.  Molecular genetic gene–environment studies using candidate genes in schizophrenia: A systematic review , 2013, Schizophrenia Research.

[35]  J. Houenou,et al.  Gene X Environment Interactions in Schizophrenia and Bipolar Disorder: Evidence from Neuroimaging , 2013, Front. Psychiatry.

[36]  A. Arntz,et al.  Initial Validation of the Spanish Childhood Trauma Questionnaire-Short Form , 2013, Journal of interpersonal violence.

[37]  L. Haan,et al.  Genetic Risk and Outcome of Psychosis (GROUP), a multi site longitudinal cohort study focused on gene–environment interaction: objectives, sample characteristics, recruitment and assessment methods , 2012, International journal of methods in psychiatric research.

[38]  T. VanderWeele,et al.  Recommendations for presenting analyses of effect modification and interaction. , 2012, International journal of epidemiology.

[39]  Patrick Royston,et al.  Multiple Imputation by Chained Equations (MICE): Implementation in Stata , 2011 .

[40]  C. Simons,et al.  AKT1 Moderation of Cannabis-Induced Cognitive Alterations in Psychotic Disorder , 2011, Neuropsychopharmacology.

[41]  K. Kendler,et al.  Interpretation of interactions: guide for the perplexed. , 2010, The British journal of psychiatry : the journal of mental science.

[42]  K. Shianna,et al.  Long-range LD can confound genome scans in admixed populations. , 2008, American journal of human genetics.

[43]  J. Os,et al.  A systematic review and meta-analysis of the psychosis continuum: evidence for a psychosis proneness–persistence–impairment model of psychotic disorder , 2008, Psychological Medicine.

[44]  D. Grobbee,et al.  Estimating interaction on an additive scale between continuous determinants in a logistic regression model. , 2007, International journal of epidemiology.

[45]  Manuel A. R. Ferreira,et al.  PLINK: a tool set for whole-genome association and population-based linkage analyses. , 2007, American journal of human genetics.

[46]  J. Stirling,et al.  Cannabis-Induced Psychosis-Like Experiences Are Associated with High Schizotypy , 2006, Psychopathology.

[47]  O. Doğan,et al.  Childhood trauma, dissociation, and psychiatric comorbidity in patients with conversion disorder. , 2004, The American journal of psychiatry.

[48]  Joaquín A. Mora-Merchán,et al.  Lonely in the crowd: Recollections of bullying , 2004 .

[49]  Joaquín A. Mora-Merchán,et al.  The Long-Term Effects of Coping Strategy Use in Victims of Bullying , 2004, The Spanish Journal of Psychology.

[50]  M. Newcomb,et al.  Development and validation of a brief screening version of the Childhood Trauma Questionnaire. , 2003, Child abuse & neglect.

[51]  N C Andreasen,et al.  The Comprehensive Assessment of Symptoms and History (CASH). An instrument for assessing diagnosis and psychopathology. , 1992, Archives of general psychiatry.

[52]  A. Farmer,et al.  A polydiagnostic application of operational criteria in studies of psychotic illness. Development and reliability of the OPCRIT system. , 1991, Archives of general psychiatry.

[53]  T. Brugha,et al.  SCAN. Schedules for Clinical Assessment in Neuropsychiatry. , 1990, Archives of general psychiatry.

[54]  D. Rubin Multiple imputation for nonresponse in surveys , 1989 .

[55]  A. Farmer,et al.  The Composite International Diagnostic Interview. An epidemiologic Instrument suitable for use in conjunction with different diagnostic systems and in different cultures. , 1988, Archives of general psychiatry.

[56]  S Greenland,et al.  Concepts of interaction. , 1980, American journal of epidemiology.

[57]  K J Rothman,et al.  The estimation of synergy or antagonism. , 1976, American journal of epidemiology.

[58]  B. Thombs,et al.  A validation study of the Dutch Childhood Trauma Questionnaire-Short Form: factor structure, reliability, and known-groups validity. , 2009, Child abuse & neglect.

[59]  J. Kaufman,et al.  Practice of Epidemiology Estimation of the Relative Excess Risk Due to Interaction and Associated Confidence Bounds , 2009 .

[60]  E. Torrey,et al.  A systematic review and meta-analysis of Northern Hemisphere season of birth studies in schizophrenia. , 2003, Schizophrenia bulletin.

[61]  J. Ormel,et al.  The reliability of the structured interview for schizotypy-revised. , 2000, Schizophrenia bulletin.

[62]  K. Kendler,et al.  The Structured Interview for Schizotypy (SIS): a preliminary report. , 1989, Schizophrenia bulletin.