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
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- 作者：Martine Vaxillaire (1) (2) (3)
Lo?c Yengo (1) (2) (3)
Stéphane Lobbens (1) (2) (3)
Ghislain Rocheleau (1) (2) (3)
Elodie Eury (1) (2) (3)
Olivier Lantieri (4)
Michel Marre (5) (6)
Beverley Balkau (7) (8)
Amélie Bonnefond (1) (2) (3)
Philippe Froguel (1) (2) (3) (9) - 关键词：DESIR ; Genotype risk score ; Hyperglycaemia ; Impaired fasting glucose ; Incidence analysis ; Metabochip ; Quantitative metabolic trait ; Type 2 diabetes
- 刊名：Diabetologia
- 出版年：2014
- 出版时间：August 2014
- 年：2014
- 卷：57
- 期：8
- 页码：1601-1610
- 全文大小：232 KB
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Lo?c Yengo (1) (2) (3)
Stéphane Lobbens (1) (2) (3)
Ghislain Rocheleau (1) (2) (3)
Elodie Eury (1) (2) (3)
Olivier Lantieri (4)
Michel Marre (5) (6)
Beverley Balkau (7) (8)
Amélie Bonnefond (1) (2) (3)
Philippe Froguel (1) (2) (3) (9)
1. European Genomic Institute for Diabetes, FR 3508, Lille, France
2. CNRS UMR 8199, Lille Pasteur Institute, 1 rue du Professeur Calmette, 59019, Lille Cedex, France
3. Lille 2 University, Lille, France
4. IRSA, La Riche, France
5. Assistance Publique–H?pitaux de Paris, H?pital Bichat, Diabetology Endocrinology Nutrition, Paris Diderot University, Paris, France
6. Inserm U872, Paris, France
7. Inserm U1018, Centre for Research in Epidemiology and Population Health, Epidemiology of Diabetes, Obesity and Chronic Renal Disease Over the Lifecourse, Villejuif, France
8. Paris-Sud 11 University, UMRS 1018, Villejuif, France
9. Department of Genomics of Common Disease, School of Public Health, Imperial College London, Hammersmith Hospital, Room E303, Burlington-Danes building, Du Cane Road, London, W12 0NN, UK - ISSN：1432-0428
文摘
Aims/hypothesis Genome-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. Methods Three 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. Results The two most inclusive GRS were significantly associated with increased FPG (β--.0011?mmol/l per year per risk allele, p GRS-1 --.2?×-0? and p GRS-2 --.0?×-0?), increased incidence of IFG and type 2 diabetes (per allele: HR GRS-1 1.03, p--.3?×-0? and HR GRS-2 1.04, p--.0?×-0?6), and the 9?year prevalence (OR GRS-1 1.13 [95% CI 1.10, 1.17], p--.9?×-0?4 for type 2 diabetes only; OR GRS-2 1.07 [95% CI 1.05, 1.08], p--.8?×-0?5, 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?×-0?; NRI GRS-2 17.6%, p--.2?×-0?; NRI GRS-3 13.1%, p--.7?×-0?). Conclusions/interpretation Polygenic 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.