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Vascular endothelial growth factor (VEGF) is important for pancreatic beta cell development and function. Common variation in the VEGF gene is associated with altered serum concentrations of VEGF and with several diseases, but its role in type 2 diabetes is not known. The single nucleotide polymorphisms C-2578A (rs699947), G-1154A (rs1570360) and G-634C (rs2010963) in the 5'-region of VEGF are associated with altered serum concentrations of the protein.We performed a large case-control and family-based study to test the hypothesis that these variants are associated with type 2 diabetes in a UK Caucasian population.We genotyped 1,969 cases, 1,625 controls and 530 families for the three single nucleotide polymorphisms.Allele and genotype frequencies were compared between cases and controls. Family-based analysis was used to test for over- or under-transmission of alleles to affected offspring.Despite good power (80%) to detect odds ratios of approximately 1.2, there were no significant associations between single alleles or genotypes and type 2 diabetes. Odds ratios (and 95% confidence intervals) comparing case and control allele frequencies for single nucleotide polymorphisms C-2578A, G-1154A and G-634C were 0.97 (0.88-1.07), 0.99 (0.90-1.09) and 0.97 (0.88-1.08), respectively.This is the first large-scale study to examine the association between common functional variation in VEGF and type 2 diabetes risk. We have found no evidence that these three single nucleotide polymorphisms, shown previously to alter VEGF concentrations, are risk factors for type 2 diabetes in a large UK Caucasian case-control and family-based study.

Type

Journal article

Journal

JOP : Journal of the pancreas

Publication Date

09/05/2006

Volume

7

Pages

295 - 302

Addresses

Institute of Biomedical and Clinical Science, Peninsula Medical School, Exeter, United Kingdom.

Keywords

Humans, Diabetes Mellitus, Type 2, Genetic Predisposition to Disease, Cytosine, Adenine, Guanine, Vascular Endothelial Growth Factor A, Case-Control Studies, Gene Frequency, Polymorphism, Single Nucleotide, Adult, Middle Aged, European Continental Ancestry Group, Female, Male, Genetic Variation, United Kingdom