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Gene-environment pathways to cognitive intelligence and psychotic-like experiences in children.

Junghoon Park | Eunji Lee | Gyeongcheol Cho | Heungsun Hwang | Bo-Gyeom Kim | Gakyung Kim | Yoonjung Yoonie Joo | Jiook Cha
eLife | 2024

In children, psychotic-like experiences (PLEs) are related to risk of psychosis, schizophrenia, and other mental disorders. Maladaptive cognitive functioning, influenced by genetic and environmental factors, is hypothesized to mediate the relationship between these factors and childhood PLEs. Using large-scale longitudinal data, we tested the relationships of genetic and environmental factors (such as familial and neighborhood environment) with cognitive intelligence and their relationships with current and future PLEs in children. We leveraged large-scale multimodal data of 6,602 children from the Adolescent Brain and Cognitive Development Study. Linear mixed model and a novel structural equation modeling (SEM) method that allows estimation of both components and factors were used to estimate the joint effects of cognitive phenotypes polygenic scores (PGSs), familial and neighborhood socioeconomic status (SES), and supportive environment on NIH Toolbox cognitive intelligence and PLEs. We adjusted for ethnicity (genetically defined), schizophrenia PGS, and additionally unobserved confounders (using computational confound modeling). Our findings indicate that lower cognitive intelligence and higher PLEs are significantly associated with lower PGSs for cognitive phenotypes, lower familial SES, lower neighborhood SES, and less supportive environments. Specifically, cognitive intelligence mediates the effects of these factors on PLEs, with supportive parenting and positive school environments showing the strongest impact on reducing PLEs. This study underscores the influence of genetic and environmental factors on PLEs through their effects on cognitive intelligence. Our findings have policy implications in that improving school and family environments and promoting local economic development may enhance cognitive and mental health in children.

Pubmed ID: 38441539

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Associated grants

  • Agency: National Research Foundation of Korea,
    Id: 2021R1C1C1006503
  • Agency: National Research Foundation of Korea,
    Id: 2021K1A3A1A2103751212
  • Agency: National Research Foundation of Korea,
    Id: 2021M3E5D2A01022515
  • Agency: National Research Foundation of Korea,
    Id: RS-2023-00266787
  • Agency: National Research Foundation of Korea,
    Id: RS-2023-00265406
  • Agency: Seoul National University,
    Id: Creative-Pioneering Researchers Program through Seoul National University 200-20230058
  • Agency: Seoul National University,
    Id: Semi-Supervised Learning Research Grant by SAMSUNG A0426-20220118
  • Agency: Institute for Information and Communications Technology Planning and Evaluation,
    Id: NO.2021-0-01343
  • Agency: Institute for Information and Communications Technology Planning and Evaluation,
    Id: Artificial Intelligence Graduate School Program

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NIMH Data Archive (tool)

RRID:SCR_004434

The National Institute of Mental Health Data Archive (NDA) makes available human subjects data collected from hundreds of research projects across many scientific domains. Research data repository for data sharing and collaboration among investigators. Used to accelerate scientific discovery through data sharing across all of mental health and other research communities, data harmonization and reporting of research results. Infrastructure created by National Database for Autism Research (NDAR), Research Domain Criteria Database (RDoCdb), National Database for Clinical Trials related to Mental Illness (NDCT), and NIH Pediatric MRI Repository (PedsMRI).

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