ArticleNature communications2025
Polygenic risk score for type 2 diabetes shows context-dependent effects across populations.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Polygenic risk scores in human genetics for study design discovery and translation.Human genetics · 2026Review
- Polygenic risk scores, adiposity, and disease transition in type 2 diabetes and colorectal cancer comorbidity: a population-based Chinese cohort study.BMC cancer · 2026Observational
- Predominantly genetic, intrauterine, and lifestyle aetiologies of type 2 diabetes are associated with distinct clinical presentations and risk of complications: a Danish cross-sectional and follow-up study.EClinicalMedicine · 2026Article
- Quantifying the utility of type 2 diabetes polygenic risk score for predicting incident diabetes: an analysis of large US-based cohort studies.BMC medical genomics · 2026Article
- Review
- Toll-Like Receptors in Diabetes: Immunometabolic Mechanisms and Emerging Precision Therapeutic Strategies.Journal of inflammation research · 2026Review
- Polygenic risk score translation across diverse populations.Frontiers in cardiovascular medicine · 2026Review
- Central adiposity and sex influence lipid and glucose indices in Mexican adults: implications for metabolic risk assessment.Frontiers in nutrition · 2026Article
- Review
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Authors and funding
73 authors.
Funding
Abstract
Polygenic risk scores hold prognostic value for identifying individuals at higher risk of type 2 diabetes. However, further characterization is needed to understand the generalizability of type 2 diabetes polygenic risk scores in diverse populations across various contexts. We systematically characterize a multi-ancestry type 2 diabetes polygenic risk score among 244,637 cases and 637,891 controls across diverse populations from the Population Architecture Genomics and Epidemiology Study and 13 additional biobanks and cohorts. Polygenic risk score performance is context dependent, with better performance in those who are younger, male, without hypertension, and not obese or overweight. Additionally, the polygenic risk score is associated with various diabetes-related cardiometabolic traits and type 2 diabetes complications, suggesting its utility for stratifying risk of complications and identifying shared genetic architecture between type 2 diabetes and other diseases. These findings highlight the need to account for context when evaluating polygenic risk score as a tool for type 2 diabetes risk prognostication and the potentially generalizable associations of type 2 diabetes polygenic risk score with diabetes-related traits, despite differential performance in type 2 diabetes prediction across diverse populations. Our study provides a comprehensive resource to characterize a type 2 diabetes polygenic risk score.
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