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dc.contributor.authorGómez Acebo, Inés es_ES
dc.contributor.authorDierssen Sotos, Trinidad es_ES
dc.contributor.authorFernández Navarro, Pabloes_ES
dc.contributor.authorPalazuelos Calderón, Camilo es_ES
dc.contributor.authorMoreno, Víctores_ES
dc.contributor.authorAragonés, Nuriaes_ES
dc.contributor.authorCastaño Vinyals, Gemmaes_ES
dc.contributor.authorJiménez Monleón, Jose J.es_ES
dc.contributor.authorRuiz Cerdá, Jose Luises_ES
dc.contributor.authorPérez Gómez, Beatrizes_ES
dc.contributor.authorRuiz Dominguez, José Manueles_ES
dc.contributor.authorAlonso Molero, Jéssica es_ES
dc.contributor.authorPollán, Marinaes_ES
dc.contributor.authorKogevinas, Manolises_ES
dc.contributor.authorLlorca Díaz, Francisco Javier es_ES
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2018-01-22T17:48:44Z
dc.date.available2018-01-22T17:48:44Z
dc.date.issued2017es_ES
dc.identifier.issn2045-2322es_ES
dc.identifier.urihttp://hdl.handle.net/10902/12913
dc.description.abstractProstate cancer (PCa) is the second most common cancer among men worldwide. Its etiology remains largely unknown compared to other common cancers. We have developed a risk stratification model combining environmental factors with family history and genetic susceptibility. 818 PCa cases and 1,006 healthy controls were compared. Subjects were interviewed on major lifestyle factors and family history. Fifty-six PCa susceptibility SNPs were genotyped. Risk models based on logistic regression were developed to combine environmental factors, family history and a genetic risk score. In the whole model, compared with subjects with low risk (reference category, decile 1), those carrying an intermediate risk (decile 5) had a 265% increase in PCa risk (OR?=?3.65, 95% CI 2.26 to 5.91). The genetic risk score had an area under the ROC curve (AUROC) of 0.66 (95% CI 0.63 to 0.68). When adding the environmental score and family history to the genetic risk score, the AUROC increased by 0.05, reaching 0.71 (95% CI 0.69 to 0.74). Genetic susceptibility has a stronger risk value of the prediction that modifiable risk factors. While the added value of each SNP is small, the combination of 56 SNPs adds to the predictive ability of the risk model.es_ES
dc.format.extent10 p.es_ES
dc.language.isoenges_ES
dc.publisherNature Publishing Groupes_ES
dc.rightsCreative Commons Attribution 4.0 International License © The Author(s) 2017es_ES
dc.sourceSci Rep. 2017 Aug 21;7(1):8994es_ES
dc.titleRisk Model for Prostate Cancer Using Environmental and Genetic Factors in the Spanish Multi-Case-Control (MCC) Study.es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1038/s41598-017-09386-9es_ES
dc.type.versionpublishedVersiones_ES


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