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Candidate Gene Analysis of Mortality in Dialysis Patients
BACKGROUND: Dialysis patients have high cardiovascular mortality risk. This study aimed to investigate the association between SNPs of genes involved in vascular processes and mortality in dialysis patients. METHODS: Forty two SNPs in 25 genes involved in endothelial function, vascular remodeling, c...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4654483/ https://www.ncbi.nlm.nih.gov/pubmed/26587841 http://dx.doi.org/10.1371/journal.pone.0143079 |
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author | Rothuizen, Tonia C. Ocak, Gurbey Verschuren, Jeffrey J. W. Dekker, Friedo W. Rabelink, Ton J. Jukema, J. Wouter Rotmans, Joris I. |
author_facet | Rothuizen, Tonia C. Ocak, Gurbey Verschuren, Jeffrey J. W. Dekker, Friedo W. Rabelink, Ton J. Jukema, J. Wouter Rotmans, Joris I. |
author_sort | Rothuizen, Tonia C. |
collection | PubMed |
description | BACKGROUND: Dialysis patients have high cardiovascular mortality risk. This study aimed to investigate the association between SNPs of genes involved in vascular processes and mortality in dialysis patients. METHODS: Forty two SNPs in 25 genes involved in endothelial function, vascular remodeling, cell proliferation, inflammation, coagulation and calcium/phosphate metabolism were genotyped in 1330 incident dialysis patients. The effect of SNPs on 5-years cardiovascular and non-cardiovascular mortality was investigated. RESULTS: The mortality rate was 114/1000 person-years and 49.4% of total mortality was cardiovascular. After correction for multiple testing, VEGF rs699947 was associated with all-cause mortality (HR1.48, 95% CI 1.14–1.92). The other SNPs were not associated with mortality. CONCLUSIONS: This study provides further evidence that a SNP in the VEGF gene may contribute to the comorbid conditions of dialysis patients. Future studies should unravel the underlying mechanisms responsible for the increase in mortality in these patients. |
format | Online Article Text |
id | pubmed-4654483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-46544832015-11-25 Candidate Gene Analysis of Mortality in Dialysis Patients Rothuizen, Tonia C. Ocak, Gurbey Verschuren, Jeffrey J. W. Dekker, Friedo W. Rabelink, Ton J. Jukema, J. Wouter Rotmans, Joris I. PLoS One Research Article BACKGROUND: Dialysis patients have high cardiovascular mortality risk. This study aimed to investigate the association between SNPs of genes involved in vascular processes and mortality in dialysis patients. METHODS: Forty two SNPs in 25 genes involved in endothelial function, vascular remodeling, cell proliferation, inflammation, coagulation and calcium/phosphate metabolism were genotyped in 1330 incident dialysis patients. The effect of SNPs on 5-years cardiovascular and non-cardiovascular mortality was investigated. RESULTS: The mortality rate was 114/1000 person-years and 49.4% of total mortality was cardiovascular. After correction for multiple testing, VEGF rs699947 was associated with all-cause mortality (HR1.48, 95% CI 1.14–1.92). The other SNPs were not associated with mortality. CONCLUSIONS: This study provides further evidence that a SNP in the VEGF gene may contribute to the comorbid conditions of dialysis patients. Future studies should unravel the underlying mechanisms responsible for the increase in mortality in these patients. Public Library of Science 2015-11-20 /pmc/articles/PMC4654483/ /pubmed/26587841 http://dx.doi.org/10.1371/journal.pone.0143079 Text en © 2015 Rothuizen et al http://creativecommons.org/licenses/by/4.0/ 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 properly credited. |
spellingShingle | Research Article Rothuizen, Tonia C. Ocak, Gurbey Verschuren, Jeffrey J. W. Dekker, Friedo W. Rabelink, Ton J. Jukema, J. Wouter Rotmans, Joris I. Candidate Gene Analysis of Mortality in Dialysis Patients |
title | Candidate Gene Analysis of Mortality in Dialysis Patients |
title_full | Candidate Gene Analysis of Mortality in Dialysis Patients |
title_fullStr | Candidate Gene Analysis of Mortality in Dialysis Patients |
title_full_unstemmed | Candidate Gene Analysis of Mortality in Dialysis Patients |
title_short | Candidate Gene Analysis of Mortality in Dialysis Patients |
title_sort | candidate gene analysis of mortality in dialysis patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4654483/ https://www.ncbi.nlm.nih.gov/pubmed/26587841 http://dx.doi.org/10.1371/journal.pone.0143079 |
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