Revealing genetic foundations underlying cardiometabolic traits: integrating twin and genome-wide association studies (GWAS) data in Asian populations
Authors' conclusion
These findings collectively advance our understanding of the genetic architecture underlying cardiometabolic traits and their interrelationships in Asian populations.
Study context
- Population
- Asian populations; twins from the Chinese National Twin Registry and Asian GWAS cohorts; 10 cardiometabolic traits (BMI, waist-to-hip ratio (WHR), hemoglobin A1c (HbA1c), fasting blood glucose (FBG), systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C))
- Participants
- 2,548 vs 92,615
- Comparison
- Twin data vs GWAS data
- Twin datan = 2,548
- GWAS datan = 92,615
- Outcome
- Heritability of 10 cardiometabolic traits
Methodological detailstwin design, GWAS summary-level data, gene-environment interaction analysis
- Twin design
- GWAS summary-level data
- Gene-environment interaction analysis
Main finding
As reported in the abstract
Heritability of cardiometabolic traits
Twin data
0.34-0.72
GWAS data
0.10-0.22
Further findings
- Dominant genetic variance — Twin data
- 0.42
- Dominant genetic variance — Dominant genetic variance statistically significant only for BMI
- 0.42
Dominant genetic variance
- No evidence of non-additive effects in GWAS summary statistics
Gene-environment interactions (age, smoking, drinking, education, mental health)
- Small yet significant interaction effects identified
- 12
Genetic correlations between pairs of cardiometabolic traits
- Genetic correlations ranged from low to high, broadly consistent across twin and GWAS approaches
- 0.09-0.90
Original publication
Revealing genetic foundations underlying cardiometabolic traits: integrating twin and GWAS data in Asian populations. Int J Obes (Lond). Published 22 September 2026. doi:10.
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