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Integrative Multi-omics Analysis of Childhood Aggressive Behavior.

Fiona A Hagenbeek1,2, Jenny van Dongen3,4,5, René Pool3,4

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This study used an integrated multi-omics approach to identify biomarkers for childhood aggressive behavior. Findings reveal connections between DNA methylation, metabolites, and genetic risk factors, offering insights into aggression

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Area of Science:

  • Behavioral Genetics
  • Systems Biology
  • Omics Research

Background:

  • Childhood aggressive behavior is a complex trait with multifactorial etiology.
  • Understanding the biological underpinnings of aggression is crucial for developing effective interventions.
  • Previous research has primarily focused on single-omic data, limiting comprehensive biological insights.

Purpose of the Study:

  • To introduce and demonstrate the utility of an integrated multi-omics approach for investigating complex traits.
  • To identify biomarkers associated with subclinical aggressive behavior in a twin cohort.
  • To explore the interconnections among identified omics biomarkers and their relationship with known risk factors.

Main Methods:

  • Trained single- and integrative multi-omics models using polygenic scores (PGSs), DNA methylation data (CpGs), and metabolite data.
  • Utilized a cohort of 645 twins for model training and independent clinical data for validation.
  • Investigated associations between omics data and parental non-transmitted PGSs for traits including ADHD, Autism Spectrum Disorder, and intelligence.

Main Results:

  • The multi-omics model integrated polygenic scores, DNA methylation, and metabolites to predict aggressive behavior.
  • Identified significant connections between DNA methylation, amino acids, and parental non-transmitted PGSs for various traits.
  • Aggression-related omics traits were linked to inflammation, carcinogens, and smoking, highlighting novel and known risk factors.

Conclusions:

  • An integrated multi-omics approach provides a powerful framework for dissecting the complex biology of traits like childhood aggression.
  • The study identified specific omics signatures associated with aggression, linking them to genetic predispositions and environmental factors.
  • Findings contribute to a deeper understanding of aggression's biological basis and suggest potential avenues for future research and therapeutic targets.