Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/130371
DC Field | Value | Language |
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dc.contributor.author | Ibáñez-Sanz, Gemma | en_US |
dc.contributor.author | Diéz-Villanueva, Anna | en_US |
dc.contributor.author | Alonso, M. Henar | en_US |
dc.contributor.author | Rodríguez-Moranta, Francisco | en_US |
dc.contributor.author | Pérez-Gómez, Beatriz | en_US |
dc.contributor.author | Bustamante, Mariona | en_US |
dc.contributor.author | Martin, Vicente | en_US |
dc.contributor.author | Llorca, Javier | en_US |
dc.contributor.author | Amiano, Pilar | en_US |
dc.contributor.author | Ardanaz, Eva | en_US |
dc.contributor.author | Tardón, Adonina | en_US |
dc.contributor.author | Jiménez-Moleón, Jose J. | en_US |
dc.contributor.author | Peiró, Rosana | en_US |
dc.contributor.author | Alguacil, Juan | en_US |
dc.contributor.author | Navarro, Carmen | en_US |
dc.contributor.author | Guinó, Elisabet | en_US |
dc.contributor.author | Binefa, Gemma | en_US |
dc.contributor.author | Navarro, Pablo Fernández | en_US |
dc.contributor.author | Espinosa, Anna | en_US |
dc.contributor.author | Dávila Batista, Verónica | en_US |
dc.contributor.author | Molina, Antonio José | en_US |
dc.contributor.author | Palazuelos, Camilo | en_US |
dc.contributor.author | Castanõ-Vinyals, Gemma | en_US |
dc.contributor.author | Aragonés, Nuria | en_US |
dc.contributor.author | Kogevinas, Manolis | en_US |
dc.contributor.author | Pollán, Marina | en_US |
dc.contributor.author | Moreno, Victor | en_US |
dc.date.accessioned | 2024-05-13T14:28:03Z | - |
dc.date.available | 2024-05-13T14:28:03Z | - |
dc.date.issued | 2017 | en_US |
dc.identifier.issn | 2045-2322 | en_US |
dc.identifier.uri | http://hdl.handle.net/10553/130371 | - |
dc.description.abstract | Colorectal 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.language | eng | en_US |
dc.relation.ispartof | Scientific Reports | en_US |
dc.source | Scientific Reports [2045-2322], v. 7 (Febrero 2017) | en_US |
dc.subject | 32 Ciencias médicas | en_US |
dc.subject | 320713 Oncología | en_US |
dc.subject.other | Colorectal cancer | en_US |
dc.subject.other | Population screening | en_US |
dc.title | Risk Model for Colorectal Cancer in Spanish Population Using Environmental and Genetic Factors: Results from the MCC-Spain study | en_US |
dc.type | info:eu-repo/semantics/semantics/article | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1038/srep43263 | en_US |
dc.identifier.pmid | 28233817 | - |
dc.identifier.scopus | 2-s2.0-85013790784 | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
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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.issue | 1 | - |
dc.relation.volume | 7 | en_US |
dc.investigacion | Ciencias de la Salud | en_US |
dc.type2 | Artículo | en_US |
dc.description.numberofpages | 12 | en_US |
dc.utils.revision | Sí | en_US |
dc.date.coverdate | Febrero 2017 | en_US |
dc.identifier.ulpgc | Sí | en_US |
dc.contributor.buulpgc | BU-MED | en_US |
dc.description.sjr | 1,533 | |
dc.description.jcr | 4,122 | |
dc.description.sjrq | Q1 | |
dc.description.jcrq | Q1 | |
dc.description.scie | SCIE | |
item.grantfulltext | open | - |
item.fulltext | Con texto completo | - |
crisitem.author.dept | GIR IUIBS: Diabetes y endocrinología aplicada | - |
crisitem.author.dept | IU de Investigaciones Biomédicas y Sanitarias | - |
crisitem.author.dept | Departamento de Ciencias Clínicas | - |
crisitem.author.orcid | 0000-0001-8888-395X | - |
crisitem.author.parentorg | IU de Investigaciones Biomédicas y Sanitarias | - |
crisitem.author.fullName | Dávila Batista, Verónica | - |
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