ArticleDiabetes care2023
The Rare and Atypical Diabetes Network (RADIANT) Study: Design and Early Results.
Article in Diabetes care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The trial behind it
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Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- A Novel Electronic Medical Record Search Method to Identify Patients With Ketosis-Prone Diabetes: Implications for Discovery of Atypical Diabetes.Diabetes care · 2026Article
- An integrated cardiometabolic genetic testing program in a predominantly Hispanic population within a community setting.Genetics in medicine : official journal of the American College of Medical Genetics · 2026Article
- Unraveling A-β+ ketosis-prone diabetes: An evolving diagnosis with an elusive pathogenesis.Journal of diabetes investigation · 2026Review
- Genetics Evaluation Outcomes From an Academic Multidisciplinary Atypical Diabetes Program.Journal of the Endocrine Society · 2025Article
- A Research Roadmap to Address the Heterogeneity of Diabetes and Advance Precision Medicine.The Journal of clinical endocrinology and metabolism · 2025Review
- Case Report: Misdiagnosis of Maturity-Onset Diabetes of the Young as type 1, type 2 or gestational diabetes: insights from a Latin American tertiary center.Frontiers in medicine · 2025Article
- Identification of atypical pediatric diabetes mellitus cases using electronic medical records.BMJ open diabetes research & care · 2024Article
- Atypical Diabetes: What Have We Learned and What Does the Future Hold?Diabetes care · 2024Review
- High Prevalence ofPediatric diabetes · 2024Article
- Investigator and participant expectations for returning non-genetic results: insights from the Rare and Atypical Diabetes Network (RADIANT) study.Journal of clinical and translational science · 2023Article
Corrections and comments
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Authors and funding
1 author at 2 institutions in 2 countries.
Funding
Abstract
objectiveThe Rare and Atypical Diabetes Network (RADIANT) will perform a study of individuals and, if deemed informative, a study of their family members with uncharacterized forms of diabetes. RESEARCH DESIGN AND
methodsThe protocol includes genomic (whole-genome [WGS], RNA, and mitochondrial sequencing), phenotypic (vital signs, biometric measurements, questionnaires, and photography), metabolomics, and metabolic assessments.
resultsAmong 122 with WGS results of 878 enrolled individuals, a likely pathogenic variant in a known diabetes monogenic gene was found in 3 (2.5%), and six new monogenic variants have been identified in the SMAD5, PTPMT1, INS, NFKB1, IGF1R, and PAX6 genes. Frequent phenotypic clusters are lean type 2 diabetes, autoantibody-negative and insulin-deficient diabetes, lipodystrophic diabetes, and new forms of possible monogenic or oligogenic diabetes.
conclusionsThe analyses will lead to improved means of atypical diabetes identification. Genetic sequencing can identify new variants, and metabolomics and transcriptomics analysis can identify novel mechanisms and biomarkers for atypical disease.
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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.