ReviewCurrent diabetes reports2019
The Genetic Epidemiology of Type 2 Diabetes: Opportunities for Health Translation.
Review in Current diabetes reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
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Who cites it
33 citing papers in PubMed.
- Large-scale multi-omics enhance risk prediction for type 2 diabetes.Cardiovascular diabetology · 2026Article
- Genetic risk score as a predictor of gestational diabetes in Central European Caucasians.Scientific reports · 2026Article
- Multi-molecular scores map process-specific polygenic diabetes risk to atherosclerosis, cardiometabolic diseases, and vascular complications.medRxiv : the preprint server for health sciences · 2026Article
- Review
- ApoE4 Upregulates GSK-3β to Aggravate Alzheimer-Like Pathologies and Cognitive Impairment in Type 2 Diabetic Mice.CNS neuroscience & therapeutics · 2025Article
- Global trends and hotspots in blood glucose management for elderly patients with diabetes: A bibliometric analysis (2000-2024).Medicine · 2025Article
- Article
- Identification of plasma proteomic markers underlying polygenic risk of type 2 diabetes and related comorbidities.Nature communications · 2025Article
- The Synergistic Effects of Polyol Pathway-Induced Oxidative and Osmotic Stress in the Aetiology of Diabetic Cataracts.International journal of molecular sciences · 2024Review
- The Role of Fenugreek in the Management of Type 2 Diabetes.International journal of molecular sciences · 2024Review
- Perspectives on genetic studies of type 2 diabetes from the genome-wide association studies era to precision medicine.Journal of diabetes investigation · 2024Review
- High-throughput sequencing reveals differences in microbial community structure and diversity in the conjunctival tissue of healthy and type 2 diabetic mice.BMC microbiology · 2024Article
- TCF7L2 and FTO Polymorphisms Are Associated with Type 2 Diabetes Mellitus Risk in Kuwait.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2024Article
- A multi-scale digital twin for adiposity-driven insulin resistance in humans: diet and drug effects.Diabetology & metabolic syndrome · 2023Article
- Association of SLC11A1 polymorphisms with anthropometric and biochemical parameters describing Type 2 Diabetes Mellitus.Scientific reports · 2023Article
- Association between serum S100A11 levels and glucose metabolism in diabetic process.Diabetology & metabolic syndrome · 2023Article
- Molecular Genetics of Abnormal Redox Homeostasis in Type 2 Diabetes Mellitus.International journal of molecular sciences · 2023Review
- Article
- Bulk and single-cell transcriptome analyses of islet tissue unravel gene signatures associated with pyroptosis and immune infiltration in type 2 diabetes.Frontiers in endocrinology · 2023Article
- Appraisal of Gene-Environment Interactions in GWAS for Evidence-Based Precision Nutrition Implementation.Current nutrition reports · 2022Review
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
purpose of reviewGenome-wide association studies have delineated the genetic architecture of type 2 diabetes. While functional studies to identify target transcripts are ongoing, new genetic knowledge can be translated directly to health applications. The review covers several translation directions but focuses on genomic polygenic scores for screening and prevention. RECENT
findingsOver 400 genomic variants associated with T2D and its related quantitative traits are now known. Genetic scores comprising dozens to millions of associated variants can predict incident T2D. However, measurement of body mass index is more efficient than genetic scores to detect T2D risk groups, and knowledge of T2D genetic risk alone seems insufficient to improve health. Genetically determined metabolic sub-phenotypes can be identified by clustering variants associated with physiological axes like insulin resistance. Genetic sub-phenotyping may be a way forward to identify specific individual phenotypes for prevention and treatment. Genomic polygenic scores for T2D can predict incident diabetes but may not be useful to improve health overall. Genetic detection of T2D sub-phenotypes could be useful to personalize screening and care.
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