Integrative Multi-omics Analysis of Childhood Aggressive Behavior
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 subc...
Saved in:
Published in | Behavior genetics Vol. 53; no. 2; pp. 101 - 117 |
---|---|
Main Authors | , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
Springer US
01.03.2023
Springer Nature B.V Springer Verlag |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | 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. |
---|---|
ISSN: | 0001-8244 1573-3297 |
DOI: | 10.1007/s10519-022-10126-7 |