ArticleDiabetologia2025
A type 1 diabetes genetic risk score discriminates between type 1 diabetes and type 2 diabetes in a Chinese population.
Article in Diabetologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Development and application of type 1 diabetes polygenic scores across diverse populations.Diabetologia · 2026Review
- The interaction of intestinal microbiota and diabetes mellitus: A database-based quantitative analysis and visualization.Pakistan journal of medical sciences · 2026Article
- Genetic basis of Asian diabetes.Journal of diabetes investigation · 2026Review
- Development and validation of a trans-ancestry polygenic risk score for type 1 diabetes.Diabetologia · 2026Article
- Review
- Extending the Eisenbarth Model: Stage 0 as a Provisional Framework for Early Risk Stratification and Prevention in Type 1 Diabetes.Journal of diabetes research · 2026Review
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Authors and funding
29 authors.
Funding
Abstract
aims/hypothesisWe aimed to generate a population-specific type 1 diabetes genetic risk score (GRS) and assess whether it could improve discrimination between type 1 diabetes and type 2 diabetes in a Chinese population.
methodsWe performed a genome-wide association analysis on 1303 individuals with type 1 diabetes and 2236 control individuals. An independent replication cohort of 501 individuals with type 1 diabetes and 853 control individuals was used to validate the top common variant associations. HLA typing data were used to identify tag SNPs for DQA1-DQB1 haplotypes. We integrated significant signals to construct a Chinese type 1 diabetes GRS (C-GRS). The accuracy of the C-GRS was tested in an independent validation cohort consisting of 262 individuals with type 1 diabetes, 1080 individuals with type 2 diabetes and 208 control individuals.
resultsWe identified a variant, rs10232170, in BMPER as a possible novel type 1 diabetes locus (p=9.897×10 CONCLUSIONS/
interpretationA type 1 diabetes C-GRS comprising 33 SNPs was highly discriminative of type 1 diabetes risk in the Chinese population and could aid in discriminating between type 1 diabetes and type 2 diabetes. This study highlights the potential of genetic information in improving prediction and precision diagnosis of type 1 diabetes in the Chinese population. DATA AVAILABILITY: The raw sequencing data and summary statistics of genomic DNA derived from human samples have been deposited at the China National Center for Bioinformation ( https://ngdc.cncb.ac.cn/omix ) under accession number PRJCA023730.
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