Candidate Gene Analysis of Mortality in Dialysis Patients
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. Forty two SNPs in 25 genes involved in endothelial function, vascular remodeling, cell proliferation, in...
Gespeichert in:
| Veröffentlicht in: | PloS one 2015-11, Vol.10 (11), p.e0143079-e0143079 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0143079 |
|---|---|
| container_issue | 11 |
| container_start_page | e0143079 |
| container_title | PloS one |
| container_volume | 10 |
| creator | Rothuizen, Tonia C Ocak, Gurbey Verschuren, Jeffrey J W Dekker, Friedo W Rabelink, Ton J Jukema, J Wouter Rotmans, Joris I |
| description | 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.
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.
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.
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. |
| doi_str_mv | 10.1371/journal.pone.0143079 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1735002485</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A435224163</galeid><doaj_id>oai_doaj_org_article_c1854c4b0df446ff96dc1c854c93bd84</doaj_id><sourcerecordid>A435224163</sourcerecordid><originalsourceid>FETCH-LOGICAL-c653t-d39773189995a0ebcee0e88ee6d95968bcb88d60db0082cd29593eb044d5a79b3</originalsourceid><addsrcrecordid>eNqNkt-LEzEQxxdRvPP0PxBdEEQfWpPNj01ehFL1LJyc-Os1ZJPZNmWb1E1W7H9vet07WvHBp4SZz3xnvsMUxVOMppjU-M06DL3X3XQbPEwRpgTV8l5xjiWpJrxC5P7R_6x4FOMaIUYE5w-Ls4ozUQuKzws51946qxOUl-ChnGXJXXSxDG35KfRJdy7tSufLd25MfNbJgU_xcfGg1V2EJ-N7UXz_8P7b_OPk6vpyMZ9dTQxnJE0skXVNsJBSMo2gMQAIhADgVjLJRWMaISxHtkFIVMZWOUqgQZRapmvZkIvi-UF324WoRtdR4ZowhCoqWCYWB8IGvVbb3m10v1NBO3UTCP1S6T4504EyWDBqaINsSylvW8mtwWYfk6Sxgmatt2O3odmANdlpr7sT0dOMdyu1DL8U5YxSQbLAq1GgDz8HiEltXDTQddpDGG7m5hTn0WVGX_yF_tvdSC11NuB8G3JfsxdVM0pYVVHM921fn1Am-AS_01IPMarF1y__z17_OGVfHrEr0F1axdANyQUfT0F6AE0fYuyhvdsZRmp_sLfm1P5g1XiwuezZ8b7vim4vlPwBJFrkWw</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1735002485</pqid></control><display><type>article</type><title>Candidate Gene Analysis of Mortality in Dialysis Patients</title><source>MEDLINE</source><source>Public Library of Science</source><source>Full-Text Journals in Chemistry (Open access)</source><source>PubMed Central</source><source>EZB Electronic Journals Library</source><source>Directory of Open Access Journals (Open Access)</source><creator>Rothuizen, Tonia C ; Ocak, Gurbey ; Verschuren, Jeffrey J W ; Dekker, Friedo W ; Rabelink, Ton J ; Jukema, J Wouter ; Rotmans, Joris I</creator><creatorcontrib>Rothuizen, Tonia C ; Ocak, Gurbey ; Verschuren, Jeffrey J W ; Dekker, Friedo W ; Rabelink, Ton J ; Jukema, J Wouter ; Rotmans, Joris I</creatorcontrib><description>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.
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.
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.
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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0143079</identifier><identifier>PMID: 26587841</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Aged ; Analysis ; Calcium ; Calcium metabolism ; Calcium phosphates ; Cardiovascular disease ; Cardiovascular diseases ; Cardiovascular Diseases - etiology ; Cardiovascular Diseases - mortality ; Cardiovascular Diseases - pathology ; Cell proliferation ; Coagulation ; Demographic aspects ; Dialysis ; Dialysis - adverse effects ; Endothelium - metabolism ; Endothelium - pathology ; Epidemiology ; Female ; Genes ; Genetic aspects ; Genetic Association Studies ; Genetic polymorphisms ; Health risk assessment ; Health risks ; Hemodialysis patients ; Humans ; Inflammation - complications ; Inflammation - genetics ; Inflammation - pathology ; Male ; Metabolism ; Middle Aged ; Mortality ; Netherlands ; Patients ; Phosphates ; Physiological aspects ; Polymorphism, Single Nucleotide ; Renal Insufficiency, Chronic - complications ; Renal Insufficiency, Chronic - genetics ; Renal Insufficiency, Chronic - therapy ; Single-nucleotide polymorphism ; Vascular endothelial growth factor ; Vascular Endothelial Growth Factor A - genetics ; Vascular Remodeling - genetics</subject><ispartof>PloS one, 2015-11, Vol.10 (11), p.e0143079-e0143079</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Rothuizen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2015 Rothuizen et al 2015 Rothuizen et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c653t-d39773189995a0ebcee0e88ee6d95968bcb88d60db0082cd29593eb044d5a79b3</citedby><cites>FETCH-LOGICAL-c653t-d39773189995a0ebcee0e88ee6d95968bcb88d60db0082cd29593eb044d5a79b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4654483/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4654483/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79569,79570</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26587841$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rothuizen, Tonia C</creatorcontrib><creatorcontrib>Ocak, Gurbey</creatorcontrib><creatorcontrib>Verschuren, Jeffrey J W</creatorcontrib><creatorcontrib>Dekker, Friedo W</creatorcontrib><creatorcontrib>Rabelink, Ton J</creatorcontrib><creatorcontrib>Jukema, J Wouter</creatorcontrib><creatorcontrib>Rotmans, Joris I</creatorcontrib><title>Candidate Gene Analysis of Mortality in Dialysis Patients</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>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.
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.
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.
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.</description><subject>Aged</subject><subject>Analysis</subject><subject>Calcium</subject><subject>Calcium metabolism</subject><subject>Calcium phosphates</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Cardiovascular Diseases - etiology</subject><subject>Cardiovascular Diseases - mortality</subject><subject>Cardiovascular Diseases - pathology</subject><subject>Cell proliferation</subject><subject>Coagulation</subject><subject>Demographic aspects</subject><subject>Dialysis</subject><subject>Dialysis - adverse effects</subject><subject>Endothelium - metabolism</subject><subject>Endothelium - pathology</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Genetic Association Studies</subject><subject>Genetic polymorphisms</subject><subject>Health risk assessment</subject><subject>Health risks</subject><subject>Hemodialysis patients</subject><subject>Humans</subject><subject>Inflammation - complications</subject><subject>Inflammation - genetics</subject><subject>Inflammation - pathology</subject><subject>Male</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Netherlands</subject><subject>Patients</subject><subject>Phosphates</subject><subject>Physiological aspects</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Renal Insufficiency, Chronic - complications</subject><subject>Renal Insufficiency, Chronic - genetics</subject><subject>Renal Insufficiency, Chronic - therapy</subject><subject>Single-nucleotide polymorphism</subject><subject>Vascular endothelial growth factor</subject><subject>Vascular Endothelial Growth Factor A - genetics</subject><subject>Vascular Remodeling - genetics</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNkt-LEzEQxxdRvPP0PxBdEEQfWpPNj01ehFL1LJyc-Os1ZJPZNmWb1E1W7H9vet07WvHBp4SZz3xnvsMUxVOMppjU-M06DL3X3XQbPEwRpgTV8l5xjiWpJrxC5P7R_6x4FOMaIUYE5w-Ls4ozUQuKzws51946qxOUl-ChnGXJXXSxDG35KfRJdy7tSufLd25MfNbJgU_xcfGg1V2EJ-N7UXz_8P7b_OPk6vpyMZ9dTQxnJE0skXVNsJBSMo2gMQAIhADgVjLJRWMaISxHtkFIVMZWOUqgQZRapmvZkIvi-UF324WoRtdR4ZowhCoqWCYWB8IGvVbb3m10v1NBO3UTCP1S6T4504EyWDBqaINsSylvW8mtwWYfk6Sxgmatt2O3odmANdlpr7sT0dOMdyu1DL8U5YxSQbLAq1GgDz8HiEltXDTQddpDGG7m5hTn0WVGX_yF_tvdSC11NuB8G3JfsxdVM0pYVVHM921fn1Am-AS_01IPMarF1y__z17_OGVfHrEr0F1axdANyQUfT0F6AE0fYuyhvdsZRmp_sLfm1P5g1XiwuezZ8b7vim4vlPwBJFrkWw</recordid><startdate>20151120</startdate><enddate>20151120</enddate><creator>Rothuizen, Tonia C</creator><creator>Ocak, Gurbey</creator><creator>Verschuren, Jeffrey J W</creator><creator>Dekker, Friedo W</creator><creator>Rabelink, Ton J</creator><creator>Jukema, J Wouter</creator><creator>Rotmans, Joris I</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20151120</creationdate><title>Candidate Gene Analysis of Mortality in Dialysis Patients</title><author>Rothuizen, Tonia C ; Ocak, Gurbey ; Verschuren, Jeffrey J W ; Dekker, Friedo W ; Rabelink, Ton J ; Jukema, J Wouter ; Rotmans, Joris I</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c653t-d39773189995a0ebcee0e88ee6d95968bcb88d60db0082cd29593eb044d5a79b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Aged</topic><topic>Analysis</topic><topic>Calcium</topic><topic>Calcium metabolism</topic><topic>Calcium phosphates</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular diseases</topic><topic>Cardiovascular Diseases - etiology</topic><topic>Cardiovascular Diseases - mortality</topic><topic>Cardiovascular Diseases - pathology</topic><topic>Cell proliferation</topic><topic>Coagulation</topic><topic>Demographic aspects</topic><topic>Dialysis</topic><topic>Dialysis - adverse effects</topic><topic>Endothelium - metabolism</topic><topic>Endothelium - pathology</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Genes</topic><topic>Genetic aspects</topic><topic>Genetic Association Studies</topic><topic>Genetic polymorphisms</topic><topic>Health risk assessment</topic><topic>Health risks</topic><topic>Hemodialysis patients</topic><topic>Humans</topic><topic>Inflammation - complications</topic><topic>Inflammation - genetics</topic><topic>Inflammation - pathology</topic><topic>Male</topic><topic>Metabolism</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Netherlands</topic><topic>Patients</topic><topic>Phosphates</topic><topic>Physiological aspects</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Renal Insufficiency, Chronic - complications</topic><topic>Renal Insufficiency, Chronic - genetics</topic><topic>Renal Insufficiency, Chronic - therapy</topic><topic>Single-nucleotide polymorphism</topic><topic>Vascular endothelial growth factor</topic><topic>Vascular Endothelial Growth Factor A - genetics</topic><topic>Vascular Remodeling - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rothuizen, Tonia C</creatorcontrib><creatorcontrib>Ocak, Gurbey</creatorcontrib><creatorcontrib>Verschuren, Jeffrey J W</creatorcontrib><creatorcontrib>Dekker, Friedo W</creatorcontrib><creatorcontrib>Rabelink, Ton J</creatorcontrib><creatorcontrib>Jukema, J Wouter</creatorcontrib><creatorcontrib>Rotmans, Joris I</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Opposing Viewpoints In Context</collection><collection>Gale in Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>ProQuest Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database (Proquest)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Database (Proquest)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Database (1962 - current)</collection><collection>ProQuest Agriculture & Environmental Science Database</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>Biological Sciences</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>ProQuest Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals (Open Access)</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rothuizen, Tonia C</au><au>Ocak, Gurbey</au><au>Verschuren, Jeffrey J W</au><au>Dekker, Friedo W</au><au>Rabelink, Ton J</au><au>Jukema, J Wouter</au><au>Rotmans, Joris I</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Candidate Gene Analysis of Mortality in Dialysis Patients</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-11-20</date><risdate>2015</risdate><volume>10</volume><issue>11</issue><spage>e0143079</spage><epage>e0143079</epage><pages>e0143079-e0143079</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.
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.
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.
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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>26587841</pmid><doi>10.1371/journal.pone.0143079</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2015-11, Vol.10 (11), p.e0143079-e0143079 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1735002485 |
| source | MEDLINE; Public Library of Science; Full-Text Journals in Chemistry (Open access); PubMed Central; EZB Electronic Journals Library; Directory of Open Access Journals (Open Access) |
| subjects | Aged Analysis Calcium Calcium metabolism Calcium phosphates Cardiovascular disease Cardiovascular diseases Cardiovascular Diseases - etiology Cardiovascular Diseases - mortality Cardiovascular Diseases - pathology Cell proliferation Coagulation Demographic aspects Dialysis Dialysis - adverse effects Endothelium - metabolism Endothelium - pathology Epidemiology Female Genes Genetic aspects Genetic Association Studies Genetic polymorphisms Health risk assessment Health risks Hemodialysis patients Humans Inflammation - complications Inflammation - genetics Inflammation - pathology Male Metabolism Middle Aged Mortality Netherlands Patients Phosphates Physiological aspects Polymorphism, Single Nucleotide Renal Insufficiency, Chronic - complications Renal Insufficiency, Chronic - genetics Renal Insufficiency, Chronic - therapy Single-nucleotide polymorphism Vascular endothelial growth factor Vascular Endothelial Growth Factor A - genetics Vascular Remodeling - genetics |
| title | Candidate Gene Analysis of Mortality in Dialysis Patients |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-14T18%3A53%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Candidate%20Gene%20Analysis%20of%20Mortality%20in%20Dialysis%20Patients&rft.jtitle=PloS%20one&rft.au=Rothuizen,%20Tonia%20C&rft.date=2015-11-20&rft.volume=10&rft.issue=11&rft.spage=e0143079&rft.epage=e0143079&rft.pages=e0143079-e0143079&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0143079&rft_dat=%3Cgale_plos_%3EA435224163%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1735002485&rft_id=info:pmid/26587841&rft_galeid=A435224163&rft_doaj_id=oai_doaj_org_article_c1854c4b0df446ff96dc1c854c93bd84&rfr_iscdi=true |