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Six Novel Loci Associated with Circulating VEGF Levels Identified by a Meta-analysis of Genome-Wide Association Studies
- Source :
- PLoS Genetics, Vol 12, Iss 2, p e1005874 (2016), PLoS Genetics, PLoS Genetics, 2016, 12 (2), pp.e1005874. ⟨10.1371/journal.pgen.1005874⟩, PLoS Genetics, Public Library of Science, 2016, 12 (2), pp.e1005874. ⟨10.1371/journal.pgen.1005874⟩, PLOS genetics (Online) 12 (2016). doi:10.1371/journal.pgen.1005874, info:cnr-pdr/source/autori:Choi S.H.; Ruggiero D.; Sorice R.; Song C.; Nutile T.; Vernon Smith A.; Concas M.P.; Traglia M.; Barbieri C.; Ndiaye N.C.; Stathopoulou M.G.; Lagou V.; Maestrale G.B.; Sala C.; Debette S.; Kovacs P.; Lind L.; Lamont J.; Fitzgerald P.; Tonjes A.; Gudnason V.; Toniolo D.; Pirastu M.; Bellenguez C.; Vasan R.S.; Ingelsson E.; Leutenegger A.-L.; Johnson A.D.; DeStefano A.L.; Visvikis-Siest S.; Seshadri S.; Ciullo M./titolo:Six Novel Loci Associated with Circulating VEGF Levels Identified by a Meta-analysis of Genome-Wide Association Studies/doi:10.1371%2Fjournal.pgen.1005874/rivista:PLOS genetics (Online)/anno:2016/pagina_da:/pagina_a:/intervallo_pagine:/volume:12
- Publication Year :
- 2016
- Publisher :
- Public Library of Science (PLoS), 2016.
-
Abstract
- Vascular endothelial growth factor (VEGF) is an angiogenic and neurotrophic factor, secreted by endothelial cells, known to impact various physiological and disease processes from cancer to cardiovascular disease and to be pharmacologically modifiable. We sought to identify novel loci associated with circulating VEGF levels through a genome-wide association meta-analysis combining data from European-ancestry individuals and using a dense variant map from 1000 genomes imputation panel. Six discovery cohorts including 13,312 samples were analyzed, followed by in-silico and de-novo replication studies including an additional 2,800 individuals. A total of 10 genome-wide significant variants were identified at 7 loci. Four were novel loci (5q14.3, 10q21.3, 16q24.2 and 18q22.3) and the leading variants at these loci were rs114694170 (MEF2C, P = 6.79x10-13), rs74506613 (JMJD1C, P = 1.17x10-19), rs4782371 (ZFPM1, P = 1.59x10-9) and rs2639990 (ZADH2, P = 1.72x10-8), respectively. We also identified two new independent variants (rs34528081, VEGFA, P = 1.52x10-18; rs7043199, VLDLR-AS1, P = 5.12x10-14) at the 3 previously identified loci and strengthened the evidence for the four previously identified SNPs (rs6921438, LOC100132354, P = 7.39x10-1467; rs1740073, C6orf223, P = 2.34x10-17; rs6993770, ZFPM2, P = 2.44x10-60; rs2375981, KCNV2, P = 1.48x10-100). These variants collectively explained up to 52% of the VEGF phenotypic variance. We explored biological links between genes in the associated loci using Ingenuity Pathway Analysis that emphasized their roles in embryonic development and function. Gene set enrichment analysis identified the ERK5 pathway as enriched in genes containing VEGF associated variants. eQTL analysis showed, in three of the identified regions, variants acting as both cis and trans eQTLs for multiple genes. Most of these genes, as well as some of those in the associated loci, were involved in platelet biogenesis and functionality, suggesting the importance of this process in regulation of VEGF levels. This work also provided new insights into the involvement of genes implicated in various angiogenesis related pathologies in determining circulating VEGF levels. The understanding of the molecular mechanisms by which the identified genes affect circulating VEGF levels could be important in the development of novel VEGF-related therapies for such diseases.<br />Author Summary Vascular Endothelial Growth Factor (VEGF) is a protein with a fundamental role in development of vascular system. The protein, produced by many types of cells, is released in the blood. High levels of VEGF have been observed in different pathological conditions especially in cancer, cardiovascular, and inflammatory diseases. Therefore, identifying the genetic factors influencing VEGF levels is important for predicting and treating such pathologies. The number of genetic variants associated with VEGF levels has been limited. To identify new loci, we have performed a Genome Wide Association Study meta-analysis on a sample of more than 16,000 individuals from 10 cohorts, using a high-density genetic map. This analysis revealed 10 variants associated with VEGF circulating levels, 6 of these being novel associations. The 10 variants cumulatively explain more than 50% of the variability of VEGF serum levels. Our analyses have identified genes known to be involved in angiogenesis related diseases and genes implicated in platelet metabolism, suggesting the importance of links between this process and VEGF regulation. Overall, these data have improved our understanding of the genetic variation underlying circulating VEGF levels. This in turn could guide our response to the challenge posed by various VEGF-related pathologies.
- Subjects :
- 0301 basic medicine
Vascular Endothelial Growth Factor A
Cell signaling
Medicin och hälsovetenskap
Cancer Research
Physiology
Angiogenesis
Gene Expression
Genome-wide association study
Signal transduction
Medical and Health Sciences
Database and Informatics Methods
chemistry.chemical_compound
Mathematical and Statistical Techniques
0302 clinical medicine
Animal Cells
Medicine and Health Sciences
Chromosomes, Human
Genetics (clinical)
ComputingMilieux_MISCELLANEOUS
Genetics
Ecology
Chromosome Biology
Genomics
Hematology
Single Nucleotide
VEGF signaling
Genomic Databases
VEGF
Phenotype
Body Fluids
3. Good health
Vascular endothelial growth factor
Blood
030220 oncology & carcinogenesis
Physical Sciences
Anatomy
Cellular Types
Statistics (Mathematics)
Research Article
Human
Platelets
lcsh:QH426-470
Evolution
European Continental Ancestry Group
Single-nucleotide polymorphism
Biology
[SDV.GEN.GH] Life Sciences [q-bio]/Genetics/Human genetics
Research and Analysis Methods
Genome Complexity
Chromosome
Polymorphism, Single Nucleotide
Chromosomes
White People
03 medical and health sciences
Behavior and Systematics
Genetic
Genome-Wide Association Studies
Humans
Statistical Methods
1000 Genomes Project
Polymorphism
Gene
Molecular Biology
Ecology, Evolution, Behavior and Systematics
Genome-Wide Association Study
Genetic Loci
Blood Cells
Biology and Life Sciences
Computational Biology
Human Genetics
Cell Biology
Genome Analysis
Ecology, Evolution, Behavior and Systematic
Introns
lcsh:Genetics
Biological Databases
030104 developmental biology
chemistry
[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics
Expression quantitative trait loci
Mathematics
Meta-Analysis
Subjects
Details
- Language :
- English
- ISSN :
- 15537404 and 15537390
- Volume :
- 12
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- PLoS Genetics
- Accession number :
- edsair.doi.dedup.....a6b9455e6caa5145eaa899c1280a9fdc
- Full Text :
- https://doi.org/10.1371/journal.pgen.1005874⟩