ArticleDiabetologia2014
Type 2 diabetes-related genetic risk scores associated with variations in fasting plasma glucose and development of impaired glucose homeostasis in the prospective DESIR study.
Article in Diabetologia, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.
- Pooled it
- Mediterranean Diet Adherence and Genetic Background Roles within a Web-Based Nutritional Intervention: The Food4Me Study.Nutrients · 2017Trial
- Quantifying the utility of type 2 diabetes polygenic risk score for predicting incident diabetes: an analysis of large US-based cohort studies.BMC medical genomics · 2026Article
- Relationship between glucose homeostasis and obesity in early life-a study of Italian children and adolescents.Human molecular genetics · 2022Article
- Polygenic risk scores: An overview from bench to bedside for personalised medicine.Frontiers in genetics · 2022Review
- Multi-omics profiling: the way towards precision medicine in metabolic diseases.Journal of molecular cell biology · 2021Article
- Genomic risk score provides predictive performance for type 2 diabetes in the UK biobank.Acta diabetologica · 2021Article
- Triangulating evidence from longitudinal and Mendelian randomization studies of metabolomic biomarkers for type 2 diabetes.Scientific reports · 2021Article
- Type 2 Diabetes Genetic Risk Scores Are Associated With Increased Type 2 Diabetes Risk Among African Americans by Cardiometabolic Status.Clinical medicine insights. Endocrinology and diabetes · 2018Article
- Jointly Modelling Single Nucleotide Polymorphisms With Longitudinal and Time-to-Event Trait: An Application to Type 2 Diabetes and Fasting Plasma Glucose.Frontiers in genetics · 2018Article
- Intensive Glucose Control Reduces the Risk Effect ofFrontiers in pharmacology · 2018Article
- Genetic risk scores in the prediction of plasma glucose, impaired insulin secretion, insulin resistance and incident type 2 diabetes in the METSIM study.Diabetologia · 2017Article
- Relationship between salivary/pancreatic amylase and body mass index: a systems biology approach.BMC medicine · 2017Article
- Impact of statistical models on the prediction of type 2 diabetes using non-targeted metabolomics profiling.Molecular metabolism · 2016Article
- EDC-2: The Endocrine Society's Second Scientific Statement on Endocrine-Disrupting Chemicals.Endocrine reviews · 2015Review
- The loss-of-function PCSK9 p.R46L genetic variant does not alter glucose homeostasis.Diabetologia · 2015Article
- Calcium release channel RyR2 regulates insulin release and glucose homeostasis.The Journal of clinical investigation · 2015Article
- Shared genetic influences between attention-deficit/hyperactivity disorder (ADHD) traits in children and clinical ADHD.Journal of the American Academy of Child and Adolescent Psychiatry · 2015Article
- An epidemiological perspective of personalized medicine: the Estonian experience.Journal of internal medicine · 2015Review
- Insights into the genetic susceptibility to type 2 diabetes from genome-wide association studies of glycaemic traits.Current diabetes reports · 2014Review
Corrections and comments
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Authors and funding
10 authors at 6 institutions in 2 countries.
Funding
Abstract
aims/hypothesisGenome-wide association studies have firmly established 65 independent European-derived loci associated with type 2 diabetes and 36 loci contributing to variations in fasting plasma glucose (FPG). Using individual data from the Data from an Epidemiological Study on the Insulin Resistance Syndrome (DESIR) prospective study, we evaluated the contribution of three genetic risk scores (GRS) to variations in metabolic traits, and to the incidence and prevalence of impaired fasting glycaemia (IFG) and type 2 diabetes.
methodsThree GRS (GRS-1, 65 type 2 diabetes-associated single nucleotide polymorphisms [SNPs]; GRS-2, GRS-1 combined with 24 FPG-raising SNPs; and GRS-3, FPG-raising SNPs alone) were analysed in 4,075 DESIR study participants. GRS-mediated effects on longitudinal variations in quantitative traits were assessed in 3,927 nondiabetic individuals using multivariate linear mixed models, and on the incidence and prevalence of hyperglycaemia at 9 years using Cox and logistic regression models. The contribution of each GRS to risk prediction was evaluated using the C-statistic and net reclassification improvement (NRI) analysis.
resultsThe two most inclusive GRS were significantly associated with increased FPG (β = 0.0011 mmol/l per year per risk allele, p GRS-1 = 8.2 × 10(-5) and p GRS-2 = 6.0 × 10(-6)), increased incidence of IFG and type 2 diabetes (per allele: HR GRS-1 1.03, p = 4.3 × 10(-9) and HR GRS-2 1.04, p = 1.0 × 10(-16)), and the 9 year prevalence (OR GRS-1 1.13 [95% CI 1.10, 1.17], p = 1.9 × 10(-14) for type 2 diabetes only; OR GRS-2 1.07 [95% CI 1.05, 1.08], p = 7.8 × 10(-25), for IFG and type 2 diabetes). No significant interaction was found between GRS-1 or GRS-2 and potential confounding factors. Each GRS yielded a modest, but significant, improvement in overall reclassification rates (NRI GRS-1 17.3%, p = 6.6 × 10(-7); NRI GRS-2 17.6%, p = 4.2 × 10(-7); NRI GRS-3 13.1%, p = 1.7 × 10(-4)). CONCLUSIONS/
interpretationPolygenic scores based on combined genetic information from type 2 diabetes risk and FPG variation contribute to discriminating middle-aged individuals at risk of developing type 2 diabetes in a general population.
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