학술논문
Integrative Multi-omics Analysis of Childhood Aggressive Behavior.
Document Type
Article
Author
Hagenbeek, Fiona A.; van Dongen, Jenny; Pool, René; Roetman, Peter J.; Harms, Amy C.; Hottenga, Jouke Jan; Kluft, Cornelis; Colins, Olivier F.; van Beijsterveldt, Catharina E. M.; Fanos, Vassilios; Ehli, Erik A.; Hankemeier, Thomas; Vermeiren, Robert R. J. M.; Bartels, Meike; Déjean, Sébastien; Boomsma, Dorret I.
Source
Subject
*AGGRESSION (Psychology)
*MULTIOMICS
*AUTISM spectrum disorders
*DNA methylation
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Language
ISSN
0001-8244
Abstract
This study introduces and illustrates the potential of an integrated multi-omics approach in investigating the underlying biology of complex traits such as childhood aggressive behavior. In 645 twins (cases = 42%), we trained single- and integrative multi-omics models to identify biomarkers for subclinical aggression and investigated the connections among these biomarkers. Our data comprised transmitted and two non-transmitted polygenic scores (PGSs) for 15 traits, 78,772 CpGs, and 90 metabolites. The single-omics models selected 31 PGSs, 1614 CpGs, and 90 metabolites, and the multi-omics model comprised 44 PGSs, 746 CpGs, and 90 metabolites. The predictive accuracy for these models in the test (N = 277, cases = 42%) and independent clinical data (N = 142, cases = 45%) ranged from 43 to 57%. We observed strong connections between DNA methylation, amino acids, and parental non-transmitted PGSs for ADHD, Autism Spectrum Disorder, intelligence, smoking initiation, and self-reported health. Aggression-related omics traits link to known and novel risk factors, including inflammation, carcinogens, and smoking. [ABSTRACT FROM AUTHOR]