Ontology highlight
ABSTRACT: Background
To gain more insight into the biological factors that mediate vulnerability to display externalizing behaviors, we leveraged genome-wide association study summary statistics on 13 externalizing phenotypes.Methods
After data classification based on genetic resemblance, we performed multivariate genome-wide association meta-analyses and conducted extensive bioinformatic analyses, including genetic correlation assessment with other traits, Mendelian randomization, and gene set and gene expression analyses.Results
The genetic data could be categorized into disruptive behavior (DB) and risk-taking behavior (RTB) factors, and subsequent genome-wide association meta-analyses provided association statistics for DB and RTB (N eff = 523,150 and 1,
SUBMITTER: Baselmans B
PROVIDER: S-EPMC9616240 | biostudies-literature | 2022 Oct
REPOSITORIES: biostudies-literature