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dc.contributor.authorIbáñez-Sanz, Gemma
dc.contributor.authorDíez-Villanueva, Anna
dc.contributor.authorAlonso, M. Henar
dc.contributor.authorRodríguez-Moranta, Francisco
dc.contributor.authorPerez-Gomez, Beatriz 
dc.contributor.authorBustamante, Mariona
dc.contributor.authorMartin, Vicente
dc.contributor.authorLlorca, Javier
dc.contributor.authorAmiano, Pilar
dc.contributor.authorArdanaz, Eva
dc.contributor.authorTardón, Adonina
dc.contributor.authorJimenez-Moleon, Jose J.
dc.contributor.authorPeiró, Rosana
dc.contributor.authorAlguacil, Juan
dc.contributor.authorNavarro Rivas, Carmen 
dc.contributor.authorGuinó, Elisabet
dc.contributor.authorBinefa, Gemma
dc.contributor.authorFernandez-Navarro, Pablo L 
dc.contributor.authorEspinosa, Anna
dc.contributor.authorDávila-Batista, Verónica
dc.contributor.authorMolina, Antonio José
dc.contributor.authorPalazuelos, Camilo
dc.contributor.authorCastaño-Vinyals, Gemma
dc.contributor.authorAragones, Nuria 
dc.contributor.authorKogevinas, Manolis
dc.contributor.authorMoreno, Victor
dc.contributor.authorPollan-Santamaria, Marina 
dc.date.accessioned2018-11-21T10:24:01Z
dc.date.available2018-11-21T10:24:01Z
dc.date.issued2017-02-24
dc.identifier.citationSci Rep. 2017; 7: 43263.es_ES
dc.identifier.issn2045-2322es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/6654
dc.description.abstractColorectal cancer (CRC) screening of the average risk population is only indicated according to age. We aim to elaborate a model to stratify the risk of CRC by incorporating environmental data and single nucleotide polymorphisms (SNP). The MCC-Spain case-control study included 1336 CRC cases and 2744 controls. Subjects were interviewed on lifestyle factors, family and medical history. Twenty-one CRC susceptibility SNPs were genotyped. The environmental risk model, which included alcohol consumption, obesity, physical activity, red meat and vegetable consumption, and nonsteroidal anti-inflammatory drug use, contributed to CRC with an average per factor OR of 1.36 (95% CI 1.27 to 1.45). Family history of CRC contributed an OR of 2.25 (95% CI 1.87 to 2.72), and each additional SNP contributed an OR of 1.07 (95% CI 1.04 to 1.10). The risk of subjects with more than 25 risk alleles (5th quintile) was 82% higher (OR 1.82, 95% CI 1.11 to 2.98) than subjects with less than 19 alleles (1st quintile). This risk model, with an AUROC curve of 0.63 (95% CI 0.60 to 0.66), could be useful to stratify individuals. Environmental factors had more weight than the genetic score, which should be considered to encourage patients to achieve a healthier lifestyle.es_ES
dc.description.sponsorshipThis work was supported by the ‘Acción Transversal del Cancer’, approved by the Spanish Ministry Council on the 11th October 2007, by the Instituto de Salud Carlos III, co-founded by FEDER funds –‘a way to build Europe’ (grants PI08/1770, PI08/0533, PI08/1359, PI09/00773, PI09/01286, PI09/01903, PI09/02078, PI09/01662, PI11/01403, PI11/01889, PI11/00226, PI11/01810, PI11/02213, PI12/00488, PI12/00265, PI12/01270, PI12/00715, PI12/00150, PI14/01219, PI14/00613, and PI15/00069). Support was also provided by the Fundación Marqués de Valdecilla (grant API 10/09); the Junta de Castilla y León (grant LE22A10-2); the Consejería de Salud of the Junta de Andalucía (2009-S0143); the Conselleria de Sanitat of the Generalitat Valenciana (grant AP 061/10); the Recercaixa (grant 2010ACUP 00310); the Regional Government of the Basque Country; the Consejería de Sanidad de la Región de Murcia; European Commission grants FOOD-CT-2006-036224-HIWATE; the Spanish Association Against Cancer (AECC) Scientific Foundation; the Catalan Government DURSI (grant 2014SGR647); the Fundación Caja de Ahorros de Asturias; the University of Oviedo; Societat Catalana de Digestologia; and COST action BM1206 Eucolongene.es_ES
dc.language.isoenges_ES
dc.type.hasVersionVoRes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.meshColorectal Neoplasms es_ES
dc.subject.meshEnvironmental Exposure es_ES
dc.subject.meshGene Frequency es_ES
dc.subject.meshHumans es_ES
dc.subject.meshModels, Statistical es_ES
dc.subject.meshPolymorphism, Single Nucleotide es_ES
dc.subject.meshRisk Assessment es_ES
dc.subject.meshSpain es_ES
dc.titleRisk Model for Colorectal Cancer in Spanish Population Using Environmental and Genetic Factors: Results from the MCC-Spain studyes_ES
dc.typejournal articlees_ES
dc.rights.licenseAtribución-4.0 Internacional*
dc.identifier.pubmedID28233817es_ES
dc.format.volume7es_ES
dc.format.page43263es_ES
dc.identifier.doi10.1038/srep43263es_ES
dc.contributor.funderInstituto de Salud Carlos III 
dc.contributor.funderUnión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF) 
dc.contributor.funderFundación Marqués de Valdecilla 
dc.contributor.funderJunta de Castilla y León (España) 
dc.contributor.funderRegional Government of Andalusia (España) 
dc.contributor.funderGeneralitat Valenciana (España) 
dc.contributor.funderFundación La Caixa 
dc.contributor.funderBasque Government (España) 
dc.contributor.funderGobierno de la Región de Murcia (España) 
dc.contributor.funderUnión Europea. Comisión Europea 
dc.contributor.funderAsociación Española Contra el Cáncer 
dc.contributor.funderFundación Caja de Ahorros de Asturias 
dc.contributor.funderUniversity of Oviedo (España) 
dc.contributor.funderSociedad Catalana de Digestología 
dc.description.peerreviewedes_ES
dc.identifier.e-issn2045-2322es_ES
dc.relation.publisherversion10.1038/srep43263es_ES
dc.identifier.journalScientific Reportses_ES
dc.repisalud.centroISCIII::Centro Nacional de Epidemiologíaes_ES
dc.repisalud.institucionISCIIIes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI08/1770es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI08/0533es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI08/1359es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI09/00773es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI09/01286es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI09/01903es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI09/02078es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI09/01662es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI11/01403es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI11/01889es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI11/00226es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI11/01810es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI11/02213es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI12/00488es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI12/00265es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI12/01270es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI12/00715es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI12/00150es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI14/01219es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI14/00613es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI15/00069es_ES
dc.rights.accessRightsopen accesses_ES


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