ArticleDiabetes care2024
Discrepancy Between Genetically Predicted and Observed BMI Predicts Incident Type 2 Diabetes.
Article in Diabetes care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Increased Risk of Myocardial Infarction and Stroke Among Multiracial Asian and Pacific Islander Adults With Diabetes: Evidence From Electronic Health Records.Journal of the American Heart Association · 2026Article
- Discrepancy between Genetically Predicted and Observed Alcohol Intake and Its Impact on Gastric Cancer Susceptibility.Cancer research and treatment · 2026Article
- Using human genetics to understand the epidemiological association between child obesity at different ages and MASLD.International journal of surgery (London, England) · 2026Article
- Association between blood glucose indicators and metabolic diseases in the Chinese population: A national cross-sectional study.Chinese medical journal · 2025Article
- Associations of BMI, sleep quality, and sleep duration trajectories with new-onset diabetes mellitus in the elderly.Obesity (Silver Spring, Md.) · 2025Article
- Inflammatory markers mediate the association between alternative adiposity indices and mortality in patients with rheumatoid arthritis: data from NHANES 1999-2018.Lipids in health and disease · 2025Article
- Comment on Rhee et al. Discrepancy Between Genetically Predicted and Observed BMI Predicts Incident Type 2 Diabetes. Diabetes Care 2024;47:1826-1833.Diabetes care · 2025Article
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Authors and funding
6 authors.
Funding
Abstract
objectiveObesity is a key predictor of type 2 diabetes (T2D). However, metabolic complications are not solely due to increased BMI. We hypothesized that differences between genetically predicted BMI and observed BMI (BMI-diff) could reflect deviation from individual set point and may predict incident T2D. RESEARCH DESIGN AND
methodsFrom the UK Biobank cohort, we selected participants of European ancestry without T2D (n = 332,154). The polygenic risk score for BMI was calculated via Bayesian regression and continuous shrinkage priors (PRS-CS). According to the BMI-diff, the 10-year risk of T2D was assessed using multivariable Cox proportional hazards model. Independent data from the Korean Genome and Epidemiology Study (KoGES) cohort from South Korea (n = 7,430) were used for replication.
resultsParticipants from the UK Biobank were divided into train (n = 268,041) and test set (n = 115,119) to establish genetically predicted BMI. In the test set, the genetically predicted BMI explained 7.1% of the variance of BMI, and there were 3,599 T2D cases (3.1%) during a 10-year follow-up. Participants in the higher quintiles of BMI-diff (more obese than genetically predicted) had significantly higher risk of T2D than those in the lowest quintile after adjusting for observed BMI: the adjusted hazard ratio of the 1st quintile (vs. 5th quintile) was 1.61 (95% CI 1.26-2.05, P < 0.001). Results were consistent among individuals in the KoGES study. Moreover, higher BMI than predicted was associated with impaired insulin sensitivity.
conclusionsHaving a higher BMI than genetically predicted is associated with an increased risk of T2D. These findings underscore the potential to reassess T2D risk based on individual levels of obesity using genetic thresholds for BMI.
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