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Cross-ancestry analyses of Chinese and European populations reveal insights into the genetic architecture and disease implication of metabolites.

Cell genomics2025-03-22PubMed
Total: 88.5Innovation: 9Impact: 8Rigor: 9Citation: 9

Summary

Large cross-ancestry metabolite GWAS identified 15 associations in Han Chinese (8 replicated) and 228 more via meta-analysis with UK Biobank Europeans, improving fine-mapping. Mendelian randomization linked higher HDL-triglyceride levels to increased coronary artery disease risk and higher glycine to reduced heart failure risk across ancestries.

Key Findings

  • GWAS of 171 metabolites in 10,792 Han Chinese identified 15 variant–metabolite associations; 8 replicated in an independent Chinese cohort (n=4,480).
  • Cross-ancestry meta-analysis with 213,397 Europeans found 228 additional associations and improved fine-mapping resolution.
  • Mendelian randomization implicated HDL-triglycerides in higher coronary artery disease risk and glycine in lower heart failure risk across ancestries.

Clinical Implications

Findings support using metabolite-informed genetics for cardiovascular risk prediction and prioritizing pathways (e.g., HDL-triglycerides, glycine) for therapeutic development and precision prevention.

Why It Matters

Provides cross-ancestry genetic architecture of circulating metabolites with causal links to major cardiovascular diseases, enabling hypothesis-driven target discovery and risk stratification.

Limitations

  • Metabolites measured by a single NMR platform may limit biochemical coverage and quantitation granularity
  • Ancestry representation focused on Han Chinese and Europeans; limited generalizability to other populations
  • MR assumptions (e.g., no horizontal pleiotropy) may not hold for all instruments

Future Directions

Extend to additional ancestries, integrate multi-omics and longitudinal phenotypes, and functionally validate prioritized loci and pathways to enable translation into biomarkers and therapeutics.

Study Information

Study Type
Cohort
Research Domain
Pathophysiology
Evidence Level
II - Large-scale observational genetic association with replication and MR analyses
Study Design
OTHER