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

被引:2
作者
Park, Junghoon [1 ]
Lee, Eunji [2 ]
Cho, Gyeongcheol [3 ]
Hwang, Heungsun [4 ]
Kim, Bo-Gyeom [2 ]
Kim, Gakyung [5 ]
Joo, Yoonjung Yoonie [2 ,6 ,7 ]
Cha, Jiook [1 ,2 ,5 ]
机构
[1] Seoul Natl Univ, Coll Engn, Interdisciplinary Program Artificial Intelligence, Seoul, South Korea
[2] Seoul Natl Univ, Coll Social Sci, Dept Psychol, Seoul, South Korea
[3] Ohio State Univ, Coll Arts & Sci, Dept Psychol, Columbus, OH USA
[4] McGill Univ, Dept Psychol, Montreal, PQ, Canada
[5] Seoul Natl Univ, Coll Nat Sci, Dept Brain & Cognit Sci, Seoul, South Korea
[6] Sungkyunkwan Univ, Samsung Adv Inst Hlth Sci & Technol SAIHST, Dept Digital Hlth, Seoul, South Korea
[7] Samsung Med Ctr, Seoul, South Korea
来源
ELIFE | 2024年 / 12卷
基金
新加坡国家研究基金会;
关键词
cognitive intelligence; psychotic-like experiences; genetic-environmental pathway; structural equation modeling; Human; SCHIZOPHRENIFORM DISORDER; POPULATION-STRUCTURE; EARLY-CHILDHOOD; FAMILY INCOME; HIGH-RISK; MODEL; ASSOCIATION; POVERTY; CONNECTIVITY; PHENOTYPE;
D O I
10.7554/eLife.88117
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:28
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