Articlenpj metabolic health and disease2025
Comparison of polygenic risk scores for type 2 diabetes developed from different ancestry groups.
Article in npj metabolic health and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Genetic basis of Asian diabetes.Journal of diabetes investigation · 2026Review
- Predictive performance of breast cancer polygenic risk scores from diverse ancestries: a prospective study in Japanese women.Breast cancer research : BCR · 2026Article
- Precision nutrition in Asian populations: a Multi-omics review of mechanisms, biomarkers, and implementation pathways.Journal of nutritional science · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
32 authors.
Funding
Abstract
Polygenic risk scores (PRS) are useful for assessing disease risk; however, knowledge about their effectiveness among Asian and other populations is limited. This study aimed to compare the classification accuracy of PRSs for type 2 diabetes (T2D-PRS) developed from different ancestry groups using genotype data from 14,083 Japanese participants. Participants' scores were calculated using T2D-PRS models, and logistic regression analysis and receiver operating characteristic curves were assessed. The odds ratio of diabetes per 1 standard deviation increase in PRS was 2.18 and 1.55 for the Japanese and European T2D-PRSs, respectively. The area under the curve (AUC) for the Japanese T2D-PRS was 0.781, whereas that for the European T2D-PRS was 0.738 (P < 0.001). Additionally, age-stratified analysis showed higher AUCs in younger than older age groups. The PRS developed from matched ancestry populations has high classification accuracy for diabetes and is particularly useful for the early detection of high-risk individuals with diabetes.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.