# Genome‐Wide by Lifetime Environment Interaction Studies of Brain Imaging Phenotypes

**Authors:** Sijia Wang, Meiyun Wang, Peng Zhang, Jingliang Cheng, Longjiang Zhang, Wenzhen Zhu, Shijun Qiu, Zuojun Geng, Guangbin Cui, Yongqiang Yu, Weihua Liao, Xi‐Nian Zuo, Hui Zhang, Bo Gao, Xiaojun Xu, Tong Han, Zhenwei Yao, Quan Zhang, Feng Liu, Qiang Xu, Jiayuan Xu, Jilian Fu, Nana Liu, Yuan Ji, Jie Tang, Lining Guo, Mengge Liu, Xiaoxiao Xiao, Xiaoxuan Liu, Wei Li, Caihong Wang, Wei Wei, Dapeng Shi, Su Lui, Zhihan Yan, Feng Chen, Jing Zhang, Wen Shen, Yanwei Miao, Dawei Wang, Jia‐Hong Gao, Yunjun Yang, Kai Xu, Junfang Xian, Bing Zhang, Xiaochu Zhang, Zhaoxiang Ye, Le Yu, Wen Qin, Meng Liang, Chunshui Yu

PMC · DOI: 10.1002/advs.202500852 · Advanced Science · 2025-11-29

## TL;DR

This study finds that gene-environment interactions explain more brain differences than genes or environments alone, with key insights into brain health.

## Contribution

The study introduces genome-wide by exposome-wide interaction analyses to uncover novel gene-environment interactions in brain imaging.

## Key findings

- Gene-environment interactions explain more variance in brain phenotypes than genetic or environmental main effects.
- Interaction networks reveal distinct biological pathways for air pollution and urbanicity exposures.
- Sensitive periods for gene-environment interactions are identified in childhood and adolescence.

## Abstract

Brain structure and function show substantial individual differences, finely controlled by genes, environments, and their interactions. Despite the increasing knowledge about genetic and environmental main effects, gene‐environment interaction effects on brain phenotypes remain elusive. This study investigates genome‐wide by environment (41 exposures) interactions on 598 brain imaging phenotypes in 7084 healthy young adults. Both univariate and multivariate analyses identify 486 significant gene‐environment interactions, scattered across the genome, exposome, and phenome. These interactions explain more variances of phenotypes than genetic and environmental main effects (100% of genetic and 96% of environmental main effects are non‐significant). Variants with interactions are enriched in intronic and intergenic regions, comprising 79 regulatory variants and 145 associated with brain gene expression. Protein‐protein interaction network analyses reveal distinct interaction networks for genes associated with air pollution (hubs: H4C6, SMARCA4, and RPS11) and urbanicity (hubs: CCND1, CALM3, and CDK2) exposures. Genes that interacted with air pollution exposures exhibit enrichment in pathways related to metal ion detoxification and homeostasis. For time‐varying exposures, 144 interactions demonstrate sensitive periods, predominantly in childhood (ages 4–7) and adolescence (ages 12–15). These findings highlight the value of genome‐wide by exposome‐wide interaction studies, which may offer crucial information for optimizing brain health outcomes.

This study explores genome‐wide by lifetime environment interactions on brain imaging phenotypes. Gene‐environment interactions explain more phenotypic variance than main effects, pinpoint regulatory variants, and reveal exposure‐specific biological pathways. Critical sensitive periods are identified in childhood and adolescence, offering novel insights for optimizing brain health.

## Linked entities

- **Genes:** H4C6 (H4 clustered histone 6) [NCBI Gene 8361], SMARCA4 (SWI/SNF related BAF chromatin remodeling complex subunit ATPase 4) [NCBI Gene 6597], RPS11 (ribosomal protein S11) [NCBI Gene 6205], CCND1 (cyclin D1) [NCBI Gene 595], CALM3 (calmodulin 3) [NCBI Gene 808], CDK2 (cyclin dependent kinase 2) [NCBI Gene 1017]

## Full-text entities

- **Genes:** SMARCA4 (SWI/SNF related BAF chromatin remodeling complex subunit ATPase 4) [NCBI Gene 6597] {aka BAF190, BAF190A, BRG1, CSS4, MRD16, OTSC12}, CALM3 (calmodulin 3) [NCBI Gene 808] {aka CALM, CAM1, CAM2, CAMB, CPVT6, CaM}, RPS11 (ribosomal protein S11) [NCBI Gene 6205] {aka S11, uS17}, CDK2 (cyclin dependent kinase 2) [NCBI Gene 1017] {aka CDKN2, p33(CDK2)}, CCND1 (cyclin D1) [NCBI Gene 595] {aka BCL1, D11S287E, PRAD1, U21B31}

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12884788/full.md

## References

124 references — full list in the complete paper: https://tomesphere.com/paper/PMC12884788/full.md

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Source: https://tomesphere.com/paper/PMC12884788