Evidence map›Paper›PMID 38441539›Full record

ArticleeLife2024

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

Open access · goldAbstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 3 countries.

Junghoon Park *Interdisciplinary Program in Artificial Intelligence, College of Engineering, Seoul National University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-8982-0387
Eunji Lee *Department of Psychology, College of Social Sciences, Seoul National University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-2589-5395
Gyeongcheol ChoDepartment of Psychology, College of Arts and Sciences, The Ohio State University, Columbus, United States.ORCID https://orcid.org/0000-0002-9237-0388
Heungsun HwangDepartment of Psychology, McGill University, Montréal, Canada.ORCID https://orcid.org/0000-0002-5057-7479
Bo-Gyeom KimDepartment of Psychology, College of Social Sciences, Seoul National University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-2685-877X
Gakyung KimDepartment of Brain and Cognitive Sciences, College of Natural Sciences, Seoul National University, Seoul, Republic of Korea.
Yoonjung Yoonie JooDepartment of Psychology, College of Social Sciences, Seoul National University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-9506-8742
Jiook ChaInterdisciplinary Program in Artificial Intelligence, College of Engineering, Seoul National University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-5314-7992
Seoul National University · KRFlorida State University · USMcGill University · CA

Funding

Institute for Information and Communications Technology Planning and Evaluation Artificial Intelligence Graduate School ProgramInstitute for Information and Communications Technology Planning and Evaluation NO.2021-0-01343National Research Foundation of Korea 2021K1A3A1A2103751212National Research Foundation of Korea 2021M3E5D2A01022515National Research Foundation of Korea 2021R1C1C1006503National Research Foundation of Korea RS-2023-00265406National Research Foundation of Korea RS-2023-00266787Seoul National University Creative-Pioneering Researchers Program through Seoul National University 200-20230058Seoul National University Semi-Supervised Learning Research Grant by SAMSUNG A0426-20220118
6 · The paper itself

Abstract

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.

Indexed as

Mental DisordersPsychotic DisordersAdolescentChildCognitionHumansIntelligenceMental Healthcognitive intelligencegenetic–environmental pathwayhumanmedicineneurosciencepsychotic-like experiencesstructural equation modeling

Identifiers

PMID38441539
PMCPMC10942586
OpenAlexW4380482517

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.