Tipus de document

Article

Versió

Versió publicada

Data de publicació

Llicència de publicació

cc-by (c) Ibáñez Sanz, Gemma et al., 2017
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/127968

Risk model for colorectal cancer in spanish population using environmental and genetic factors: results from the MCC-Spain study

Títol de la revista

Director/Tutor

ISSN de la revista

Títol del volum

Resum

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.

Descripció

Aquest article conté una errata annexada

Citació

Citació

IBÁÑEZ SANZ, Gemma, et al. Risk model for colorectal cancer in spanish population using environmental and genetic factors: results from the MCC-Spain study. Scientific Reports. 2017. Vol. 7, núm. 43263. ISSN 2045-2322. [consulta: 10 de maig de 2026]. Disponible a: https://hdl.handle.net/2445/127968

Exportar metadades

JSON - METS

Compartir registre