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Related Concept Videos

Gene-Environment Interactions01:20

Gene-Environment Interactions

Gene expression is a dynamic process that is significantly influenced by environmental factors. This interaction underlies the complex nature of biological development and the phenotypic differences observed among individuals, even among those with identical genetic makeups. Factors such as radiation, temperature, behavior, nutrition, and stress play pivotal roles in determining how genes are expressed. The concept of the reaction range is central to understanding this interaction. It posits...
Human Genetics01:28

Human Genetics

Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
Causes of Social Behavior III: Biological and Environmental Influences01:28

Causes of Social Behavior III: Biological and Environmental Influences

Social behavior is a complex phenomenon that arises from the interaction between biological predispositions and environmental influences. This intricate interplay shapes how individuals think, feel, and act in various social contexts. Understanding these mechanisms requires insights from psychology, neuroscience, genetics, and evolutionary theory.Environmental Influences on Social BehaviorEnvironmental factors, including temperature, odors, and visual stimuli, play a crucial role in shaping...

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Related Experiment Videos

Gene-Environment Interactions in Predicting Self-Harm: A Machine Learning Approach Using Explainable Artificial

Hyori Jeon, Dohyeon Lee, Hyejin Kim

    Archives of Suicide Research : Official Journal of the International Academy for Suicide Research
    |May 27, 2026
    PubMed
    Summary
    This summary is machine-generated.

    Environmental factors, especially interpersonal trauma, are key predictors of self-harm. Genetic predispositions interact with these risks, suggesting personalized prevention strategies are needed for individuals with genetic vulnerabilities.

    Keywords:
    Machine learningexplainable artificial intelligencegene–environment interactionspolygenic risk scoreself-harm

    Related Experiment Videos

    Area of Science:

    • Psychiatry
    • Genetics
    • Public Health

    Background:

    • Self-harm is a significant public health issue.
    • The interaction between genetic and environmental factors in self-harm is not well understood.

    Purpose of the Study:

    • To investigate the interaction between polygenic risk scores (PRSs) for psychiatric disorders and environmental risk factors in predicting self-harm.
    • To identify key genetic and environmental predictors and their interactions in self-harm.

    Main Methods:

    • Utilized UK Biobank data from 156,873 participants.
    • Employed polygenic risk scores (PRSs) for 15 psychiatric disorders/traits.
    • Applied automated machine learning and explainable artificial intelligence for model building and analysis.

    Main Results:

    • Environmental factors, particularly interpersonal trauma (e.g., partner belittlement, sexual assault), were stronger predictors of self-harm than genetic factors alone.
    • Gene-environment interactions explained approximately 12% of the variance in self-harm risk.
    • PRSs for major depression, cannabis use disorder, and anorexia nervosa showed the most significant interaction effects.

    Conclusions:

    • Individuals with genetic vulnerabilities may be more susceptible to the harmful effects of interpersonal trauma.
    • Findings underscore the importance of considering combined genetic and environmental risks for personalized self-harm prevention.
    • Highlights the need for tailored interventions addressing specific gene-environment interactions.