ArticleFrontiers in genetics2022
A Polygenic Score for Type 2 Diabetes Improves Risk Stratification Beyond Current Clinical Screening Factors in an Ancestrally Diverse Sample.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 23 citations in OpenAlex.
- Prediction of Type 2 Diabetes using genomics and proteomics: the HUNT Study (ProtRS for T2D).medRxiv : the preprint server for health sciences · 2026Article
- Viewing direct-to-consumer genetic test results for depression risk is psychologically well tolerated: Evidence from a longitudinal equivalence study.HGG advances · 2026Article
- Improving type 2 diabetes polygenic risk scores by incorporating rare, low-frequency, and population-specific variants.medRxiv : the preprint server for health sciences · 2025Article
- Clinical utility of self-reported sleep duration and insomnia symptoms in type 2 diabetes prediction.Diabetologia · 2025Article
- Genetic and molecular landscape of comorbidities in people living with HIV.Nature medicine · 2025Article
- Interaction between coffee consumption and polygenic risk score in relation to diabetes: insights from the Maastricht study.European journal of nutrition · 2025Article
- Genetic risk and polygenic risk score assessment of prediabetes and progression to type 2 diabetes.Diabetes, obesity & metabolism · 2025Article
- Clinical use of polygenic scores in type 2 diabetes: challenges and possibilities.Diabetologia · 2025Review
- Integrating Polygenic Risk Scores (PRS) for Personalized Diabetes Care: Advancing Clinical Practice with Tailored Pharmacological Approaches.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025Review
- Investigating misclassification of type 1 diabetes in a population-based cohort of British Pakistanis and Bangladeshis using polygenic risk scores.Scientific reports · 2025Article
- Editorial: A year in review: discussions in human and medical genomics.Frontiers in genetics · 2025Article
- Impact of the trans-ancestry polygenic risk score on type 2 diabetes risk, onset age and progression among population in Taiwan.American journal of physiology. Endocrinology and metabolism · 2024Article
- A Polygenic Score Predicts Caries Experience in Elderly Swedish Adults.Journal of dental research · 2024Article
- Incorporating polygenic risk into the Leicester Risk Assessment score for 10-year risk prediction of type 2 diabetes.Diabetes & metabolic syndrome · 2024Article
- The clinical relevance of a polygenic risk score for type 2 diabetes mellitus in the Korean population.Scientific reports · 2024Article
- Social and Behavioral Genomics: What Does It Mean for Pediatrics?The Journal of pediatrics · 2024Article
- Influence of Diabetes Family History on the Associations of Combined Genetic and Lifestyle Risks with Diabetes in the Tohoku Medical Megabank Community-Based Cohort Study.Journal of atherosclerosis and thrombosis · 2023Article
- Testing the Utility of Polygenic Risk Scores for Type 2 Diabetes and Obesity in Predicting Metabolic Changes in a Prediabetic Population: An Observational Study.International journal of molecular sciences · 2022Observational
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Authors and funding
13 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A substantial proportion of the adult United States population with type 2 diabetes (T2D) are undiagnosed, calling into question the comprehensiveness of current screening practices, which primarily rely on age, family history, and body mass index (BMI). We hypothesized that a polygenic score (PGS) may serve as a complementary tool to identify high-risk individuals. The T2D polygenic score maintained predictive utility after adjusting for family history and combining genetics with family history led to even more improved disease risk prediction. We observed that the PGS was meaningfully related to age of onset with implications for screening practices: there was a linear and statistically significant relationship between the PGS and T2D onset (-1.3 years per standard deviation of the PGS). Evaluation of U.S. Preventive Task Force and a simplified version of American Diabetes Association screening guidelines showed that addition of a screening criterion for those above the 90th percentile of the PGS provided a small increase the sensitivity of the screening algorithm. Among T2D-negative individuals, the T2D PGS was associated with prediabetes, where each standard deviation increase of the PGS was associated with a 23% increase in the odds of prediabetes diagnosis. Additionally, each standard deviation increase in the PGS corresponded to a 43% increase in the odds of incident T2D at one-year follow-up. Using complications and forms of clinical intervention (i.e., lifestyle modification, metformin treatment, or insulin treatment) as proxies for advanced illness we also found statistically significant associations between the T2D PGS and insulin treatment and diabetic neuropathy. Importantly, we were able to replicate many findings in a Hispanic/Latino cohort from our database, highlighting the value of the T2D PGS as a clinical tool for individuals with ancestry other than European. In this group, the T2D PGS provided additional disease risk information beyond that offered by traditional screening methodologies. The T2D PGS also had predictive value for the age of onset and for prediabetes among T2D-negative Hispanic/Latino participants. These findings strengthen the notion that a T2D PGS could play a role in the clinical setting across multiple ancestries, potentially improving T2D screening practices, risk stratification, and disease management.
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