Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/130371
DC FieldValueLanguage
dc.contributor.authorIbáñez-Sanz, Gemmaen_US
dc.contributor.authorDiéz-Villanueva, Annaen_US
dc.contributor.authorAlonso, M. Henaren_US
dc.contributor.authorRodríguez-Moranta, Franciscoen_US
dc.contributor.authorPérez-Gómez, Beatrizen_US
dc.contributor.authorBustamante, Marionaen_US
dc.contributor.authorMartin, Vicenteen_US
dc.contributor.authorLlorca, Javieren_US
dc.contributor.authorAmiano, Pilaren_US
dc.contributor.authorArdanaz, Evaen_US
dc.contributor.authorTardón, Adoninaen_US
dc.contributor.authorJiménez-Moleón, Jose J.en_US
dc.contributor.authorPeiró, Rosanaen_US
dc.contributor.authorAlguacil, Juanen_US
dc.contributor.authorNavarro, Carmenen_US
dc.contributor.authorGuinó, Elisabeten_US
dc.contributor.authorBinefa, Gemmaen_US
dc.contributor.authorNavarro, Pablo Fernándezen_US
dc.contributor.authorEspinosa, Annaen_US
dc.contributor.authorDávila Batista, Verónicaen_US
dc.contributor.authorMolina, Antonio Joséen_US
dc.contributor.authorPalazuelos, Camiloen_US
dc.contributor.authorCastanõ-Vinyals, Gemmaen_US
dc.contributor.authorAragonés, Nuriaen_US
dc.contributor.authorKogevinas, Manolisen_US
dc.contributor.authorPollán, Marinaen_US
dc.contributor.authorMoreno, Victoren_US
dc.date.accessioned2024-05-13T14:28:03Z-
dc.date.available2024-05-13T14:28:03Z-
dc.date.issued2017en_US
dc.identifier.issn2045-2322en_US
dc.identifier.urihttp://hdl.handle.net/10553/130371-
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.en_US
dc.languageengen_US
dc.relation.ispartofScientific Reportsen_US
dc.sourceScientific Reports [2045-2322], v. 7 (Febrero 2017)en_US
dc.subject32 Ciencias médicasen_US
dc.subject320713 Oncologíaen_US
dc.subject.otherColorectal canceren_US
dc.subject.otherPopulation screeningen_US
dc.titleRisk Model for Colorectal Cancer in Spanish Population Using Environmental and Genetic Factors: Results from the MCC-Spain studyen_US
dc.typeinfo:eu-repo/semantics/semantics/articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1038/srep43263en_US
dc.identifier.pmid28233817-
dc.identifier.scopus2-s2.0-85013790784-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.identifier.issue1-
dc.relation.volume7en_US
dc.investigacionCiencias de la Saluden_US
dc.type2Artículoen_US
dc.description.numberofpages12en_US
dc.utils.revisionen_US
dc.date.coverdateFebrero 2017en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-MEDen_US
dc.description.sjr1,533
dc.description.jcr4,122
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR IUIBS: Diabetes y endocrinología aplicada-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.deptDepartamento de Ciencias Clínicas-
crisitem.author.orcid0000-0001-8888-395X-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.fullNameDávila Batista, Verónica-
Appears in Collections:Artículos
Adobe PDF (1,7 MB)
Show simple item record

SCOPUSTM   
Citations

42
checked on Nov 17, 2024

WEB OF SCIENCETM
Citations

41
checked on Nov 17, 2024

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.