Ontology highlight
ABSTRACT: Background
Early diagnosis and therapeutic interventions can greatly enhance the developmental trajectory of children with autism spectrum disorder (ASD). However, the etiology of ASD is not completely understood. The presence of confounding factors from environment and genetics has increased the difficulty of the identification of diagnostic biomarkers for ASD.Aim
To estimate and interpret the causal relationship between ASD and metabolite profile, taking into consideration both genetic and environmental influences.Methods
A two-sample Mendelian randomization (MR) analysis was conducted using summarized data from large-scale genome-wide association studies (GWAS) including a metabolite GWAS dataset covering 453 metabolites from 7824 European and an ASD GWAS dataset
SUBMITTER: Huang ZY
PROVIDER: S-EPMC10845217 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature