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Sci Rep. 2017 Feb 24;7:43263. doi: 10.1038/srep43263.

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

Author information

1
Cancer Prevention and Control Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Spain.
2
CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
3
Gastroenterology Department, Bellvitge University Hospital-IDIBELL, L'Hospitalet de Llobregat, Spain.
4
Environmental and Cancer Epidemiology Department, National Center of Epidemiology - Instituto de Salud Carlos III, Madrid, Spain.
5
Oncology and Hematology Area, IIS Puerta De Hierro, Cancer Epidemiology Research Group, Madrid, Spain.
6
ISGlobal Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.
7
Instituto de Biomedicina (IBIOMED). Grupo de investigación en interacciones gen ambiente y salud. Universidad de León, León, Spain.
8
Universidad de Cantabria - IDIVAL, Santander, Spain.
9
Public Health Division of Gipuzkoa, Biodonostia Research Institute, San Sebastian, Spain.
10
Navarra Public Health Institute, Navarra, Spain.
11
University Institute of Oncology of Asturias (IUOPA), Universidad de Oviedo, Oviedo, Spain.
12
Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Hospitales Universitarios de Granada, Granada, Spain.
13
Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana FISABIO-Salud Pública, Valencia.
14
Centre for Research in Health and Environment (CYSMA), Universidad de Huelva, Huelva, Spain.
15
Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca and Department of Health and Social Sciences, Universidad de Murcia, Murcia, Spain.
16
IMIM (Hospital Del Mar Medical Research Institute), Barcelona, Spain.
17
Universitat Pompeu Fabra (UPF), Barcelona, Spain.
18
School of Public Health, Athens, Greece.
19
Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain.

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.

PMID:
28233817
PMCID:
PMC5324108
DOI:
10.1038/srep43263
[Indexed for MEDLINE]
Free PMC Article

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