ArticlePediatric diabetes2022
Improved genetic risk scoring algorithm for type 1 diabetes prediction.
Article in Pediatric diabetes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 28 citations in OpenAlex.
- Predicting future risk of type 1 and type 2 diabetes after gestational diabetes mellitus using polygenic scores: a cohort study.Diabetologia · 2026Observational
- Novel type 1 diabetes polygenic scores improve identification of type 1 diabetes in diverse populations.medRxiv : the preprint server for health sciences · 2026Article
- Development and application of type 1 diabetes polygenic scores across diverse populations.Diabetologia · 2026Review
- Preimplantation genetic testing for polygenic diseases: A novel paradigm in embryo selection.Biochemistry and biophysics reports · 2026Review
- Development and validation of a trans-ancestry polygenic risk score for type 1 diabetes.Diabetologia · 2026Article
- The Electronic Medical Records and Genomics study: Design and analytic framework for assessing the impact of genome-informed risk assessments.American journal of human genetics · 2026Article
- Enhancing Type 1 Diabetes Polygenic Risk Prediction Through Neural Networks and Entropy-Derived Insights.International journal of molecular sciences · 2026Article
- Evolving epigenomics of immune cells at single-nucleus resolution in children en route to type 1 diabetes.Nature communications · 2026Article
- Article
- HLA-focused type 1 diabetes genetic risk prediction in populations of diverse ancestry.Diabetologia · 2026Article
- Diabetes mellitus polygenic risk scores: heterogeneity and clinical translation.Nature reviews. Endocrinology · 2025Review
- The impact of ancestry on performance of type 1 diabetes genetic risk scores: high discrimination performance is maintained in African ancestry populations, but population specific thresholds may improve risk prediction.medRxiv : the preprint server for health sciences · 2025Article
- Phenotypic and Genetic Diversity in Diabetes Across Populations.The Journal of clinical endocrinology and metabolism · 2025Review
- Type 1 Diabetes Genetic Risk Scores: History, Application and Future Directions.Current diabetes reports · 2025Review
- Lessons and Applications of Omics Research in Diabetes Epidemiology.Current diabetes reports · 2024Review
- Trans-ethnic genomic informed risk assessment for Alzheimer's disease: An International Hundred K+ Cohorts Consortium study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023Article
- Utility of genetic risk scores in type 1 diabetes.Diabetologia · 2023Review
- Trans-ethnic polygenic risk scores for body mass index: An international hundred K+ cohorts consortium study.Clinical and translational medicine · 2023Article
- Polygenic Scores Help Reduce Racial Disparities in Predictive Accuracy of Automated Type 1 Diabetes Classification Algorithms.Diabetes care · 2023Article
- Persistent coxsackievirus B infection and pathogenesis of type 1 diabetes mellitus.Nature reviews. Endocrinology · 2022Review
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundPrecise risk prediction of type 1 diabetes (T1D) facilitates early intervention and identification of risk factors prior to irreversible beta-islet cell destruction, and can significantly improve T1D prevention and clinical care. Sharp et al. developed a genetic risk scoring (GRS) system for T1D (T1D-GRS2) capable of predicting T1D risk in children of European ancestry. The T1D-GRS2 was developed on the basis of causal genetic variants, thus may be applicable to minor populations, while a trans-ethnic GRS for T1D may avoid the exacerbation of health disparities due to the lack of genomic information in minorities.
methodsHere, we describe a T1D-GRS2 calculator validated in two independent cohorts, including African American children and European American children. Participants were recruited by the Center for Applied Genomics at the Children's Hospital of Philadelphia.
resultsIt demonstrates that GRS2 is applicable to the T1D risk prediction in the AA cohort, while population-specific thresholds are needed for different populations.
conclusionsThe study highlights the potential to further improve T1D-GRS2 performance with the inclusion of additional genetic markers.
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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.