Causal relationships between genetically determined metabolites and human intelligence: a Mendelian randomization...

Area of Science:

• Neuroscience
• Metabolomics
• Genetics

Background:

• Human intelligence influences health and life outcomes, but its biological underpinnings remain unclear.
• Genetically determined metabotypes (GDMs) offer a novel approach to dissecting complex traits.
• Previous research has not applied GDM strategies to human intelligence.

Purpose of the Study:

• To investigate the causal relationships between genetically determined metabolites and human intelligence.
• To apply Mendelian randomization (MR) using GDMs for intelligence research.
• To identify specific metabolites that causally influence cognitive performance.

Main Methods:

• A two-sample Mendelian randomization (MR) analysis was conducted.
• Genetically determined metabolites were assessed as potential causal factors for intelligence.
• Standard inverse-variance weighted (IVW) and sensitivity analyses (MR-Egger, weighted median, MR-PRESSO) were employed.

Main Results:

• 5-oxoproline showed a robust, genetically determined association with enhanced intelligence test performance.
• Dihomo-linoleate (20:2n6) and p-acetamidophenylglucuronide also demonstrated significant associations with intelligence.
• Sensitivity analyses confirmed the robustness of the identified causal relationships.

Conclusions:

• This study integrates genomics and metabolomics to reveal causal links between specific metabolites and human intelligence.
• The findings provide novel insights into the biological mechanisms underlying cognitive function.
• Understanding these metabolite-intelligence links can advance research on human cognitive abilities.