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      Genetics of VEGF Serum Variation in Human Isolated Populations of Cilento: Importance of VEGF Polymorphisms

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          Abstract

          Vascular Endothelial Growth Factor (VEGF) is the main player in angiogenesis. Because of its crucial role in this process, the study of the genetic factors controlling VEGF variability may be of particular interest for many angiogenesis-associated diseases. Although some polymorphisms in the VEGF gene have been associated with a susceptibility to several disorders, no genome-wide search on VEGF serum levels has been reported so far. We carried out a genome-wide linkage analysis in three isolated populations and we detected a strong linkage between VEGF serum levels and the 6p21.1 VEGF region in all samples. A new locus on chromosome 3p26.3 significantly linked to VEGF serum levels was also detected in a combined population sample. A sequencing of the gene followed by an association study identified three common single nucleotide polymorphisms (SNPs) influencing VEGF serum levels in one population (Campora), two already reported in the literature (rs3025039, rs25648) and one new signal (rs3025020). A fourth SNP (rs41282644) was found to affect VEGF serum levels in another population (Cardile). All the identified SNPs contribute to the related population linkages (35% of the linkage explained in Campora and 15% in Cardile). Interestingly, none of the SNPs influencing VEGF serum levels in one population was found to be associated in the two other populations. These results allow us to exclude the hypothesis that the common variants located in the exons, intron-exon junctions, promoter and regulative regions of the VEGF gene may have a causal effect on the VEGF variation. The data support the alternative hypothesis of a multiple rare variant model, possibly consisting in distinct variants in different populations, influencing VEGF serum levels.

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          Most cited references26

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          Molecular regulation of vessel maturation.

          The maturation of nascent vasculature, formed by vasculogenesis or angiogenesis, requires recruitment of mural cells, generation of an extracellular matrix and specialization of the vessel wall for structural support and regulation of vessel function. In addition, the vascular network must be organized so that all the parenchymal cells receive adequate nutrients. All of these processes are orchestrated by physical forces as well as by a constellation of ligands and receptors whose spatio-temporal patterns of expression and concentration are tightly regulated. Inappropriate levels of these physical forces or molecules produce an abnormal vasculature--a hallmark of various pathologies. Normalization of the abnormal vasculature can facilitate drug delivery to tumors and formation of a mature vasculature can help realize the promise of therapeutic angiogenesis and tissue engineering.
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            Empirical bayes methods and false discovery rates for microarrays.

            In a classic two-sample problem, one might use Wilcoxon's statistic to test for a difference between treatment and control subjects. The analogous microarray experiment yields thousands of Wilcoxon statistics, one for each gene on the array, and confronts the statistician with a difficult simultaneous inference situation. We will discuss two inferential approaches to this problem: an empirical Bayes method that requires very little a priori Bayesian modeling, and the frequentist method of "false discovery rates" proposed by Benjamini and Hochberg in 1995. It turns out that the two methods are closely related and can be used together to produce sensible simultaneous inferences. Copyright 2002 Wiley-Liss, Inc.
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              A common polymorphism in the 5'-untranslated region of the VEGF gene is associated with diabetic retinopathy in type 2 diabetes.

              Vascular endothelial growth factor (VEGF), a major mediator of vascular permeability and angiogenesis, may play a pivotal role in mediating the development and progression of diabetic retinopathy. In the present study, we examined the genetic variations of the VEGF gene to assess its possible relation to diabetic retinopathy in type 2 diabetic patients. Among seven common polymorphisms in the promoter region, 5'-untranslated region (UTR) and 3'UTR of the VEGF gene, genotype distribution of the C(-634)G polymorphism differed significantly (P = 0.011) between patients with (n = 150) and without (n = 118) retinopathy, and the C allele was significantly increased in patients with retinopathy compared with those without retinopathy (P = 0.0037). The odds ratio (OR) for the CC genotype of C(-634)G to the GG genotype was 3.20 (95% CI 1.45-7.05, P = 0.0046). The -634C allele was significantly increased in patients with nonproliferative diabetic retinopathy (non-PDR) (P = 0.0026) and was insignificantly increased in patients with proliferative diabetic retinopathy (PDR) (P = 0.081) compared with patients without retinopathy, although frequencies of the allele did not differ significantly between the non-PDR and PDR groups. Logistic regression analysis revealed that the C(-634)G polymorphism was strongly associated with an increased risk of retinopathy (P = 0.0018). Furthermore, VEGF serum levels were significantly higher in healthy subjects with the CC genotype of the C(-634)G polymorphism than in those with the other genotypes. These data suggest that the C(-634)G polymorphism in the 5'UTR of the VEGF gene is a novel genetic risk factor for diabetic retinopathy.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2011
                9 February 2011
                : 6
                : 2
                : e16982
                Affiliations
                [1 ]Institute of Genetics and Biophysics A. Buzzati-Traverso, CNR, Naples, Italy
                [2 ]Inserm/University Paris SUD U669, Villejuif, France
                [3 ]INSERM, U946, Paris, France
                [4 ]University Paris Diderot, UMR-S946, Paris, France
                Ohio State University Medical Center, United States of America
                Author notes

                Conceived and designed the experiments: DR ALL CB MC. Performed the experiments: DR TN RS LD. Analyzed the data: DR CD PB ALL CB MC. Contributed reagents/materials/analysis tools: CD TN MA LD. Wrote the paper: DR ALL CB MC.

                Article
                PONE-D-10-01825
                10.1371/journal.pone.0016982
                3036731
                21347390
                2fba84dc-bfc4-4b2b-8de3-7909e7389a9f
                Ruggiero et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 14 September 2010
                : 19 January 2011
                Page count
                Pages: 10
                Categories
                Research Article
                Biology
                Genetics
                Heredity
                Linkage (Genetics)
                Human Genetics
                Genetic Association Studies
                Genome-Wide Association Studies
                Population Genetics
                Genetic Polymorphism
                Genome-Wide Association Studies
                Genomics
                Genome Analysis Tools
                Genome-Wide Association Studies
                Linkage Maps
                Population Biology
                Population Genetics
                Genetic Polymorphism
                Medicine
                Cardiovascular

                Uncategorized
                Uncategorized

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