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Risk Model for Colorectal Cancer in Spanish Population Using Environmental and Genetic Factors: Results from the MCC-Spain study

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 274...

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Detalles Bibliográficos
Autores principales: Ibáñez-Sanz, Gemma, Díez-Villanueva, Anna, Alonso, M. Henar, Rodríguez-Moranta, Francisco, Pérez-Gómez, Beatriz, Bustamante, Mariona, Martin, Vicente, Llorca, Javier, Amiano, Pilar, Ardanaz, Eva, Tardón, Adonina, Jiménez-Moleón, Jose J., Peiró, Rosana, Alguacil, Juan, Navarro, Carmen, Guinó, Elisabet, Binefa, Gemma, Navarro, Pablo Fernández, Espinosa, Anna, Dávila-Batista, Verónica, Molina, Antonio José, Palazuelos, Camilo, Castaño-Vinyals, Gemma, Aragonés, Nuria, Kogevinas, Manolis, Pollán, Marina, Moreno, Victor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5324108/
https://www.ncbi.nlm.nih.gov/pubmed/28233817
http://dx.doi.org/10.1038/srep43263
Descripción
Sumario: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 (5(th) quintile) was 82% higher (OR 1.82, 95% CI 1.11 to 2.98) than subjects with less than 19 alleles (1(st) 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.