Hinterbuchinger, B. & Mossaheb, N. Psychotic-like experiences: a challenge in definition and assessment. Mini review. Front. Psychiatry https://doi.org/10.3389/fpsyt.2021.582392 (2021).
Linscott, R. J. & van Os, J. An updated and conservative systematic review and meta-analysis of epidemiological evidence on psychotic experiences in children and adults: on the pathway from proneness to persistence to dimensional expression across mental disorders. Psychol. Med. 43, 1133–1149 (2013).
Schultze-Lutter, F. et al. Self-reported psychotic-like experiences are a poor estimate of clinician-rated attenuated and frank delusions and hallucinations. Psychopathology 47, 194–201 (2013).
Kelleher, I. et al. Prevalence of psychotic symptoms in childhood and adolescence: a systematic review and meta-analysis of population-based studies. Psychol. Med. 42, 1857–1863 (2012).
Karcher, N. R. et al. Persistent and distressing psychotic-like experiences using adolescent brain cognitive development study data. Mol. Psychiatry 27, 1490–1501 (2022).
Oh, H. et al. Distress related to psychotic experiences: enhancing the world health organization composite international diagnostic interview psychosis screen. Int. J. Methods Psychiatr. Res. 33, e1977 (2024).
Elkrief, L. et al. Independent contribution of polygenic risk for schizophrenia and cannabis use in predicting psychotic-like experiences in young adulthood: testing gene × environment moderation and mediation. Psychol. Med. 53, 1759–1769 (2023).
Legge, S. E. et al. Association of genetic liability to psychotic experiences with neuropsychotic disorders and traits. JAMA Psychiatry 76, 1256–1265 (2019).
Pain, O. et al. Genome-wide analysis of adolescent psychotic-like experiences shows genetic overlap with psychiatric disorders. Am. J. Med. Genet. B 177, 416–425 (2018).
Karcher, N. R. et al. Psychotic-like experiences and polygenic liability in the adolescent brain cognitive development study. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 7, 45–55 (2022).
Ku, B. S. et al. Associations between genetic risk, physical activities, and distressing psychotic-like experiences. Schizophr. Bull. https://doi.org/10.1093/schbul/sbae141 (2024).
Di Vincenzo, M. et al. Independent and joint effects of genomic and exposomic loads for schizophrenia on psychotic experiences in adolescents of European ancestry. Schizophrenia 11, 26 (2025).
Martin, A. R. et al. Clinical use of current polygenic risk scores may exacerbate health disparities. Nat. Genet. 51, 584–591 (2019).
Andreassen, O. A., Hindley, G. F. L., Frei, O. & Smeland, O. B. New insights from the last decade of research in psychiatric genetics: discoveries, challenges and clinical implications. World Psychiatry 22, 4–24 (2023).
Karcher, N. R., Schiffman, J. & Barch, D. M. Environmental risk factors and psychotic-like experiences in children aged 9–10. J. Am. Acad. Child Adolesc. Psychiatry 60, 490–500 (2021).
Newbury, J. B. et al. Association of air pollution exposure with psychotic experiences during adolescence. JAMA Psychiatry 76, 614–623 (2019).
Pries, L. K. et al. Estimating the association between exposome and psychosis as well as general psychopathology: results from the ABCD study. Biol. Psychiatry Glob. Open Sci. 2, 283–291 (2022).
Lin, B. D. et al. Nongenetic factors associated with psychotic experiences among uk biobank participants: exposome-wide analysis and mendelian randomization analysis. JAMA Psychiatry 79, 857–868 (2022).
Paquin, V., Lemire, M. & King, S. Ecosystem approaches to the risk for schizophrenia. Schizophr Res 220, 278–280 (2020).
Moore, T. M. et al. Modeling environment through a general exposome factor in two independent adolescent cohorts. Exposome 2, osac010 (2022).
Taylor, M. J., Freeman, D., Lundström, S., Larsson, H. & Ronald, A. Heritability of psychotic experiences in adolescents and interaction with environmental risk. JAMA Psychiatry 79, 889–897 (2022).
Pinckaers, F. M. E. et al. Evidence for interaction between genetic liability and childhood trauma in the development of psychotic symptoms. Soc. Psychiatry Psychiatr. Epidemiol. 54, 1045–1054 (2019). Sep.
Park, J. et al. Gene–environment pathways to cognitive intelligence and psychotic-like experiences in children. Elife 12, RP88117 (2024).
Ku, B. et al. Exposure profiles of social-environmental neighborhood factors and persistent distressing psychotic-like experiences across four years among young adolescents in the US. Psychol. Med. https://doi.org/10.1017/S0033291725000224 (2025).
Noordsy, D. L., Burgess, J. D., Hardy, K. V., Yudofsky, L. M. & Ballon, J. S. Therapeutic potential of physical exercise in early psychosis. Am. J. Psychiatry 175, 209–214 (2018).
Xiong, Y., Hong, H., Liu, C. & Zhang, Y. Q. Social isolation and the brain: effects and mechanisms. Mol. Psychiatry 28, 191–201 (2023).
Schoorl, J. et al. Grey and white matter associations of psychotic-like experiences in a general population sample (UK Biobank). Transl. Psychiatry 11, 21 (2021).
Si, S. et al. Mapping gray and white matter volume abnormalities in early-onset psychosis: an ENIGMA multicenter voxel-based morphometry study. Mol. Psychiatry 29, 496–504 (2024).
Walker, E., Mittal, V. & Tessner, K. Stress and the hypothalamic pituitary adrenal axis in the developmental course of schizophrenia. Annu. Rev. Clin. Psychol. 4, 189–216 (2008).
Grace, A. A. Dysregulation of the dopamine system in the pathophysiology of schizophrenia and depression. Nat. Rev. Neurosci. 17, 524–532 (2016).
Howes, O., McCutcheon, R. & Stone, J. Glutamate and dopamine in schizophrenia: an update for the 21st century. J. Psychopharmacol. 29, 97–115 (2015).
Calderón-Garcidueñas, L. et al. Exposure to severe urban air pollution influences cognitive outcomes, brain volume and systemic inflammation in clinically healthy children. Brain Cogn. 77, 345–355 (2011).
Barron, H., Hafizi, S., Andreazza, A. C. & Mizrahi, R. Neuroinflammation and oxidative stress in psychosis and psychosis risk. Int. J. Mol. Sci. https://doi.org/10.3390/ijms18030651 (2017).
Bronfenbrenner, U. & Ceci, S. J. Nature–nurture reconceptualized in developmental perspective: a bioecological model. Psychol. Rev. 101, 568–586 (1994).
Monroe, S. M. & Simons, A. D. Diathesis-stress theories in the context of life stress research: implications for the depressive disorders. Psychol. Bull. 110, 406 (1991).
Guloksuz, S. et al. Examining the independent and joint effects of molecular genetic liability and environmental exposures in schizophrenia: results from the EUGEI study. World Psychiatry 18, 173–182 (2019).
Ku, B. S. et al. The associations between area-level residential instability and gray matter volumes from the North American Prodrome Longitudinal Study (NAPLS) consortium. Schizophr. Res. 241, 1–9 (2022).
Ku, B. S. et al. Neighborhood social fragmentation in relation to impaired mismatch negativity among youth at clinical high risk for psychosis and healthy comparisons. Neuropsychopharmacology 50, 1446–1454 (2025).
Hamilton, H. K. et al. Mismatch negativity in response to auditory deviance and risk for future psychosis in youth at clinical high risk for psychosis. JAMA Psychiatry 79, 780–789 (2022).
Collins, M. A. et al. Accelerated cortical thinning precedes and predicts conversion to psychosis: the NAPLS3 longitudinal study of youth at clinical high-risk. Mol. Psychiatry 28, 1182–1189 (2023). Mar.
VanderWeele, T. J. & Knol, M. J. A tutorial on interaction. Epidemiol. Methods 3, 33–72 (2014).
Lash, T. L., Van der Weele, T. J., Haneause, S. & Rothman, K. Modern Epidemiology (Wolters Kluwer Health, 2020).
Fan, C. C. et al. Adolescent Brain Cognitive Development (ABCD) study linked external data (LED):protocol and practices for geocoding and assignment of environmental data. Dev. Cogn. Neurosci. 52, 101030 (2021).
Garavan, H. et al. Recruiting the ABCD sample: design considerations and procedures. Dev. Cogn. Neurosci. 32, 16–22 (2018).
Karcher, N. R. et al. Assessment of the prodromal questionnaire–brief child version for measurement of self-reported psychoticlike experiences in childhood. JAMA Psychiatry 75, 853–861 (2018).
Loewy, R. L., Pearson, R., Vinogradov, S., Bearden, C. E. & Cannon, T. D. Psychosis risk screening with the prodromal questionnaire–brief version (PQ-B). Schizophr. Res. 129, 42–46 (2011).
Dominguez, M. D., Wichers, M., Lieb, R., Wittchen, H. U. & van Os, J. Evidence that onset of clinical psychosis is an outcome of progressively more persistent subclinical psychotic experiences: an 8-year cohort study. Schizophr. Bull. 37, 84–93 (2011).
Jerrigan, T. et al. Adolescent Brain Cognitive Development Study (ABCD)—annual release 4.0 #1299. NIMH Data Archive https://doi.org/10.15154/1523041 (2025).
Lam, M. et al. RICOPILI: rapid imputation for consortias pipeline. Bioinformatics 36, 930–933 (2019).
TOPMed imputation server. NIH https://imputation.biodatacatalyst.nhlbi.nih.gov (2023).
Das, S. et al. Next-generation genotype imputation service and methods. Nat. Genet. 48, 1284–1287 (2016).
PLINK 1.9 beta. https://www.cog-genomics.org/plink/1.9/ (2025).
Chen, C.-Y. et al. Improved ancestry inference using weights from external reference panels. Bioinformatics 29, 1399–1406 (2013).
Altshuler, D. M. et al. Integrating common and rare genetic variation in diverse human populations. Nature 467, 52–58 (2010).
Yang, J., Lee, S. H., Goddard, M. E. & Visscher, P. M. GCTA: a tool for genome-wide complex trait analysis. Am. J. Hum. Genet. 88, 76–82 (2011).
Zheng, Z. et al. Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries. Nat. Genet. 56, 767–777 (2024).
Trubetskoy, V. et al. Mapping genomic loci implicates genes and synaptic biology in schizophrenia. Nature 604, 502–508 (2022).
Schaid, D. J., Chen, W. & Larson, N. B. From genome-wide associations to candidate causal variants by statistical fine-mapping. Nat. Rev. Genet. 19, 491–504 (2018).
Zhang, Q., Privé, F., Vilhjálmsson, B. & Speed, D. Improved genetic prediction of complex traits from individual-level data or summary statistics. Nat. Commun. 12, 4192 (2021).
MacLeod, I. M. et al. Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits. BMC Genomics 17, 144 (2016).
Zheng, Z. SBayesRC. GitHub https://github.com/zhilizheng/SBayesRC (2024).
Ruan, Y. et al. Improving polygenic prediction in ancestrally diverse populations. Nat. Genet. 54, 573–580 (2022).
Ge, T. PRS-CSx. GitHub https://github.com/getian107/PRScsx (2023).
Singh, G. K. Area deprivation and widening inequalities in US mortality, 1969–1998. Am. J. Public Health 93, 1137–1143 (2003).
Singh, G. K., Azuine, R. E., Siahpush, M. & Kogan, M. D. All-cause and cause-specific mortality among US youth: socioeconomic and rural–urban disparities and international patterns. J. Urban Health 90, 388–405 (2013).
Acevedo-Garcia, D. et al. The child opportunity index: improving collaboration between community development and public health. Health Aff. 33, 1948–1957 (2014).
Data from: uniform crime reporting program data: county-level detailed arrest and offense data, United States, 2010. ICPSR https://doi.org/10.3886/ICPSR33523.v2 (2014).
Di, Q. et al. Assessing NO2 concentration and model uncertainty with high spatiotemporal resolution across the contiguous united states using ensemble model averaging. Environ. Sci. Technol. 54, 1372–1384 (2020).
Requia, W. J. et al. An ensemble learning approach for estimating high spatiotemporal resolution of ground-level ozone in the contiguous United States. Environ. Sci. Technol. 54, 11037–11047 (2020).
Fatemi, F., Ardalan, A., Aguirre, B., Mansouri, N. & Mohammadfam, I. Social vulnerability indicators in disasters: findings from a systematic review. Int. J. Disaster Risk Reduct. 22, 219–227 (2017).
Anglin, D. M. et al. Association of childhood area-level ethnic density and psychosis risk among ethnoracial minoritized individuals in the US. JAMA Psychiatry 80, 1226–1234 (2023).
Rakesh, D., Zalesky, A. & Whittle, S. Assessment of parent income and education, neighborhood disadvantage, and child brain structure. JAMA Netw. Open 5, e2226208 (2022).
Van Dijk, M. T., Murphy, E., Posner, J. E., Talati, A. & Weissman, M. M. Association of multigenerational family history of depression with lifetime depressive and other psychiatric disorders in children: results from the Adolescent Brain Cognitive Development (ABCD) Study. JAMA Psychiatry 78, 778–787 (2021).
Renzetti, S., Gennings, C. & Calza, S. A weighted quantile sum regression with penalized weights and two indices. Front. Public Health 11, 1151821 (2023).
Renzetti, S., Curtin, P., Allan, C., Bello, G. & Gennings, C. gWQS: Generalized weighted quantile sum regression. Version 3.0.5 CRAN https://cran.r-project.org/web/packages/gWQS/gWQS.pdf (2016).
Chen, H. et al. Control for population structure and relatedness for binary traits in genetic association studies via logistic mixed models. Am. J. Hum. Genet. 98, 653–666 (2016).
Chen, H. GMMAT. GitHub https://github.com/hanchenphd/GMMAT (2023).
Richardson, D. B. & Kaufman, J. S. Estimation of the relative excess risk due to interaction and associated confidence bounds. Am. J. Epidemiol. 169, 756–760 (2009).