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dc.contributor.authorValls, Joan
dc.contributor.authorCambray Carner, Serafí
dc.contributor.authorPérez-Guallar, Carles
dc.contributor.authorBozić Stanojević, Milica
dc.contributor.authorBermúdez López, Marcelino
dc.contributor.authorFernández i Giráldez, Elvira
dc.contributor.authorBetriu i Bars, M. Àngels
dc.contributor.authorRodríguez, Isabel
dc.contributor.authorValdivielso Revilla, José Manuel
dc.date.accessioned2019-12-16T11:54:08Z
dc.date.available2019-12-16T11:54:08Z
dc.date.issued2019
dc.identifier.issn1664-8021
dc.identifier.urihttp://hdl.handle.net/10459.1/67730
dc.description.abstractChronic kidney disease (CKD) is a major risk factor for end-stage renal disease, cardiovascular disease and premature death. Despite classical clinical risk factors for CKD and some genetic risk factors have been identified, the residual risk observed in prediction models is still high. Therefore, new risk factors need to be identified in order to better predict the risk of CKD in the population. Here, we analyzed the genetic association of 79 SNPs of proteins associated with mineral metabolism disturbances with CKD in a cohort that includes 2,445 CKD cases and 559 controls. Genotyping was performed with matrix assisted laser desorption ionization–time of flight mass spectrometry. We used logistic regression models considering different genetic inheritance models to assess the association of the SNPs with the prevalence of CKD, adjusting for known risk factors. Eight SNPs (rs1126616, rs35068180, rs2238135, rs1800247, rs385564, rs4236, rs2248359, and rs1564858) were associated with CKD even after adjusting by sex, age and race. A model containing five of these SNPs (rs1126616, rs35068180, rs1800247, rs4236, and rs2248359), diabetes and hypertension showed better performance than models considering only clinical risk factors, significantly increasing the area under the curve of the model without polymorphisms. Furthermore, one of the SNPs (the rs2248359) showed an interaction with hypertension, being the risk genotype affecting only hypertensive patients. We conclude that 5 SNPs related to proteins implicated in mineral metabolism disturbances (Osteopontin, osteocalcin, matrix gla protein, matrix metalloprotease 3 and 24 hydroxylase) are associated to an increased risk of suffering CKD.ca_ES
dc.description.sponsorshipThe NEFRONA study was funded by a research grant from AbbVie, FEDER funds and the Instituto de Salud Carlos III RETIC (RD16/0009), FIS PI16/01354, and PI10/00173. IR was financially supported by Fundación para el Fomento en Asturias de la Investigación Cientfica Aplicada y la Tecnología (FICYT).
dc.language.isoengca_ES
dc.publisherFrontiers Mediaca_ES
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.3389/fgene.2019.00118ca_ES
dc.relation.ispartofFrontiers in Genetics, 2019, vol. 10ca_ES
dc.rightscc-by (c) Valls et al., 2019ca_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es*
dc.subjectChronic kidney diseaseca_ES
dc.subjectRisk factorsca_ES
dc.subjectGenetic association studyca_ES
dc.subjectSingle nucleotide polymorphismca_ES
dc.titleAssociation of Candidate Gene Polymorphisms With Chronic Kidney Disease: Results of a Case-Control Analysis in the Nefrona Cohortca_ES
dc.typeinfo:eu-repo/semantics/articleca_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.identifier.doihttps://doi.org/10.3389/fgene.2019.00118


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cc-by (c) Valls et al., 2019
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