SynthesisDiabetologia2012
Common genetic variants differentially influence the transition from clinically defined states of fasting glucose metabolism.
Synthesis in Diabetologia, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
What it found
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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.
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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.
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Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Large-scale gene-centric meta-analysis across 32 studies identifies multiple lipid loci.American journal of human genetics · 2012Pooled it
- Pooled it
- Interaction of melatonin receptor 1B (MTNR1B) genotype and type of breakfast (protein-enriched v carbohydrate-rich) on postprandial glucose response: a randomised crossover trial.European journal of clinical nutrition · 2026Trial
- MTNR1B genotype and effects of carbohydrate quantity and dietary glycaemic index on glycaemic response to an oral glucose load: the OmniCarb trial.Diabetologia · 2024Trial
- The influence of bright and dim light on substrate metabolism, energy expenditure and thermoregulation in insulin-resistant individuals depends on time of day.Diabetologia · 2022Trial
- Effects of genetic variants previously associated with fasting glucose and insulin in the Diabetes Prevention Program.PloS one · 2012Trial
- Modeling Genetic Risk of β-Cell Dysfunction in Human Induced Pluripotent Stem Cells From Patients Carrying the MTNR1B Risk Variant.Journal of pineal research · 2025Article
- Interaction Between Dietary Fiber Intake andGenes · 2025Article
- The melatonin receptor 1B gene links circadian rhythms and type 2 diabetes mellitus: an evolutionary story.Annals of medicine · 2023Review
- Genetic heterogeneity in cardiovascular disease across ancestries: Insights for mechanisms and therapeutic intervention.Cambridge prisms. Precision medicine · 2023Review
- The Genetics of Type 2 Diabetes in Youth: Where We Are and the Road Ahead.The Journal of pediatrics · 2022Article
- Development and validation of a trans-ancestry polygenic risk score for type 2 diabetes in diverse populations.Genome medicine · 2022Article
- Membrane Melatonin Receptors Activated Cell Signaling in Physiology and Disease.International journal of molecular sciences · 2021Review
- The MC4R p.Ile269Asn mutation confers a high risk for type 2 diabetes in the Mexican population via obesity dependent and independent effects.Scientific reports · 2021Article
- Melatonin Effects on Glucose Metabolism: Time To Unlock the Controversy.Trends in endocrinology and metabolism: TEM · 2020Review
- Adiponectin is associated with cardio-metabolic traits in Mexican children.Scientific reports · 2019Article
- Melatonin in type 2 diabetes mellitus and obesity.Nature reviews. Endocrinology · 2019Review
- Genetic, Functional, and Immunological Study of ZnT8 in Diabetes.International journal of endocrinology · 2019Review
- Association of Fasting Glucose Level with Neutrophil-Lymphocyte Ratio Compared to Leukocyte Count and Serum C-Reactive Protein.Korean journal of family medicine · 2018Article
- Obesity and associated lifestyles modify the effect of glucose metabolism-related genetic variants on impaired glucose homeostasis among postmenopausal women.Genetic epidemiology · 2016Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
aims/hypothesisCommon genetic variants have been associated with type 2 diabetes. We hypothesised that a subset of these variants may have different effects on the transition from normal fasting glucose (NFG) to impaired fasting glucose (IFG) than on that from IFG to diabetes.
methodsWe identified 16 type 2 diabetes risk variants from the Illumina Broad Candidate-gene Association Resource (CARe) array genotyped in 26,576 CARe participants. Participants were categorised at baseline as NFG, IFG or type 2 diabetic (n = 16,465, 8,017 or 2,291, respectively). Using Cox proportional hazards and likelihood ratio tests (LRTs), we compared rates of progression by genotype for 4,909 (NFG to IFG) and 1,518 (IFG to type 2 diabetes) individuals, respectively. We then performed multinomial regression analyses at baseline, comparing the risk of assignment to the NFG, IFG or diabetes groups by genotype.
resultsThe rate of progression from NFG to IFG was significantly greater in participants carrying the risk allele at MTNR1B (p = 1 × 10(-4)), nominally greater at GCK and SLC30A8 (p < 0.05) and nominally smaller at IGF2BP2 (p = 0.01) than the rate of progression from IFG to diabetes by the LRT. Results of the baseline, multinomial regression model were consistent with these findings. CONCLUSIONS/
interpretationCommon genetic risk variants at GCK, SLC30A8, IGF2BP2 and MTNR1B influence to different extents the development of IFG and the transition from IFG to type 2 diabetes. Our findings may have implications for understanding the genetic contribution of these variants to the development of IFG and type 2 diabetes.
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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.