Evidence map›Paper›PMID 40595767›Full record

ArticleScientific reports2025

The influence of serotonergic multilocus genetic variants and parent-child relationship on adolescent creativity.

Zhen He, Lin Zhan, Zihao Zeng, Li Meng, Shuangjin Liu, Yiqiu Hu

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zhen HeSchool of Educational Science, Hunan Normal University, Changsha, 410081, China.
Lin ZhanSchool of Educational Science, Hunan Normal University, Changsha, 410081, China.
Zihao ZengSchool of Educational Science, Hunan Normal University, Changsha, 410081, China.
Li MengSchool of Educational Science, Hunan Normal University, Changsha, 410081, China.
Shuangjin LiuSchool of Pre-School Education, Changsha Normal University, Changsha, 410199, China.
Yiqiu HuSchool of Educational Science, Hunan Normal University, Changsha, 410081, China. fortune2000947@163.com.

Funding

Hunan Education Science Key Funding Project XJK23AJD023
6 · The paper itself

Abstract

objectiveCreativity drives both individual progress and societal development. With the development of the gene-environment interaction theory, investigating the physiological and psychological mechanisms underlying creativity has become increasingly essential. Grounded in Bronfenbrenner's ecological systems theory, this study employs the gene-environment (G × E) paradigm to investigate the interaction between serotonin system genes and the parent-child relationship in influencing adolescent creativity.

methodsIn study 1, questionnaire surveys and DNA genotyping techniques were used to select a sample of 707 middle school students (Mage = 13.95, SD = 0.42). The 5-HT MGPS was constructed by including TPH2 rs4570625, SLC6A4 rs1042173, 5-HTR1A rs6295, and MAOA rs6323 genes to examine the interaction between the parent-child relationship and 5-HT MGPS in influencing adolescent creativity. In study 2, a behavioral experiment on creativity was conducted as supplementary data to further validate the robustness of the interaction between the parent-child relationship and 5-HT MGPS in predicting creativity.

results(1) Parent-child relationship positively predicts adolescent creativity; (2) Data from both questionnaires and behavioral experiments indicate that the interaction between parent-child relationship and 5-HT MGPS predicts creativity; (3) The results of regions of significance test support the hypothesis that the interaction pattern between parent-child relationship and 5-HT MGPS aligns with the differential susceptibility model.

conclusionsThese findings highlight the critical role of the interaction between genetic and environments on creativity. Furthermore, the interaction pattern between the parent-child relationship and 5-HT MGPS aligns with the differential susceptibility model, suggesting that the environment can moderate the influence of genetic factors to a certain extent.

Indexed as

CreativityParent-Child RelationsSerotoninAdolescentChildFemaleGene-Environment InteractionGenotypeHumansMaleMonoamine OxidasePolymorphism, Single NucleotideReceptor, Serotonin, 5-HT1ASerotonin Plasma Membrane Transport ProteinsSurveys and QuestionnairesTryptophan HydroxylaseHTR1A protein, humanMonoamine Oxidasemonoamine oxidase A, humanReceptor, Serotonin, 5-HT1ASerotoninSerotonin Plasma Membrane Transport ProteinsSLC6A4 protein, humanTPH2 protein, humanTryptophan HydroxylaseAdolescentCreativityGene ×  EnvironmentParent–child relationshipSerotonin system

Identifiers

PMID40595767
PMCPMC12219562

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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.