References
- Trichopoulou A, Costacou T, Bamia C, et al. Adherence to a Mediterranean diet and survival in a Greek population. N Engl J Med. 2003;348:2599–2608.
- Sofi F, Cesari F, Abbate R, et al. Adherence to Mediterranean diet and health status: meta-analysis. BMJ. 2008;337:a1344.
- Agnoli C, Grioni S, Sieri S, et al. Italian Mediterranean Index and risk of colorectal cancer in the Italian section of the EPIC cohort. Int J Cancer. 2013;132:1404–1411.
- Rosato V, Guercio V, Bosetti C, et al. Mediterranean diet and colorectal cancer risk: a pooled analysis of three Italian case-control studies. Br J Cancer. 2016;115:862–865.
- Torres Stone RA, Waring ME, Cutrona SL, et al. The association of dietary quality with colorectal cancer among normal weight, overweight and obese men and women: a prospective longitudinal study in the USA. BMJ Open. 2017;7:e015619.
- Park SY, Boushey CJ, Wilkens LR, et al. High-quality diets associate with reduced risk of colorectal cancer: analyses of diet quality indexes in the multiethnic cohort. Gastroenterology. 2017;153:386–394.
- Kontou N, Psaltopoulou T, Panagiotakos DB, et al. The Mediterranean diet in cancer prevention: a review. J Med Food. 2011;14:1065–1078.
- Buckland G, Bach A, Serra-Majem L. Obesity and the Mediterranean diet: a systematic review of observational and intervention studies. Obes Rev. 2008;9(6):582–593.
- Arnold M, Pandeya N, Byrnes G, et al. Global burden of cancer attributable to high body-mass index in 2012: a population-based study. Lancet Oncol. 2015;16:36–46.
- Fasanelli F, Zugna D, Giraudo MT, et al. Abdominal adiposity is not a mediator of the protective effect of Mediterranean diet on colorectal cancer. Int J Cancer. 2017;140:2265–2271.
- Casas R, Sacanella E, Urpí-Sardà M, et al. Long-term immunomodulatory effects of a Mediterranean diet in adults at high risk of cardiovascular disease in the PREvención con DIeta MEDiterránea (PREDIMED) randomized controlled trial. J Nutr. 2016;146:1684–1689.
- Koloverou E, Panagiotakos DB, Pitsavos C, et al.; ATTICA Study Group. Adherence to Mediterranean diet and 10-year incidence (2002–2012) of diabetes: correlations with inflammatory and oxidative stress biomarkers in the ATTICA cohort study. Diabetes Metab Res Rev. 2016;32:73–81.
- Cannon J. Colorectal neoplasia and inflammatory bowel disease. Surg Clin North Am. 2015;95:1261–1269.
- Santilli F, Boccatonda A, Davì G. Aspirin, platelets, and cancer: the point of view of the internist. Eur J Intern Med. 2016;34:11–20.
- Scoccianti C, Ricceri F, Ferrari P, et al. Methylation patterns in sentinel genes in peripheral blood cells of heavy smokers: influence of cruciferous vegetables in an intervention study. Epigenetics. 2011;6:1114–1119.
- Tammen SA, Friso S, Choi SW. Epigenetics: the link between nature and nurture. Mol Aspects Med. 2013;34:753–764.
- Wang J, Hodes GE, Zhang H, et al. Epigenetic modulation of inflammation and synaptic plasticity promotes resilience against stress in mice. Nat Commun. 2018;9:477–491.
- Palli D, Berrino F, Vineis P, et al. EPIC-Italy. A molecular epidemiology project on diet and cancer: the EPIC-Italy prospective study. Design and baseline characteristics of participants. Tumori. 2003;89:586–593.
- Fasanelli F, Baglietto L, Ponzi E, et al. Hypomethylation of smoking-related genes is associated with future lung cancer in four prospective cohorts. Nat Commun. 2015 Dec;15(6):10192.
- Agnoli C, Krogh V, Grioni S, et al. A priori-defined dietary patterns are associated with reduced risk of stroke in a large Italian cohort. J Nutr. 2011;141:1552–1558.
- Wareham NJ, Jakes RW, Rennie KL, et al. Validity and repeatability of a simple index derived from the short physical activity questionnaires used in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Public Health Nutr. 2003;6:407–413.
- Ricceri F, Sacerdote C, Giraudo MT, et al. The association between educational level and cardiovascular and cerebrovascular diseases within the EPICOR study: new evidence for an old inequality problem. PLoS One. 2016;11:e0164130.
- Houseman EA, Accomando WP, Koestler DC, et al. DNA methylation arrays as surrogate measures of cell mixture distribution. BMC Bioinformatics. 2012;13:86–102.
- Reid S, Tibshirani R. Regularization paths for conditional logistic regression: the clogitL1 package. J Stat Softw. 2014;58:1–23.
- Zou H, Hastie T. Regularization and variable selection via the elastic net. J R Stat Soc Series B Stat Methodol. 2005;67:301–320.
- Tibshirani R. Regression shrinkage and selection via the lasso. J R Stat Soc Series B Stat Methodol. 1996;58:267–288.
- Hoerl A, Kennard R. Ridge regression. Encyclopedia of Statistical Sciences. Vol. 8. New York: Wiley; 1998. p. 129–136.
- Freidman HJ, Hastie T, Tibshirani R. Regularization paths for generalized linear models via coordinate descent. J Stat Softw. 2010;33:1–22.
- Du P, Zhang X, Huang CC, et al. Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis. BMC Bioinformatics. 2010;11:587–596.
- Vineis P, Perera F. Molecular epidemiology and biomarkers in etiologic cancer research: the new in light of the old. Cancer Epidemiol Biomarkers Prev. 2007;16:1954–1965.
- Chadeau-Hyam M, Athersuch TJ, Keun HC, et al. Meeting-in-the-middle using metabolic profiling - a strategy for the identification of intermediate biomarkers in cohort studies. Biomarkers. 2011;16:83–88.
- Michels KB, Binder AM, Dedeurwaerder S, et al. Recommendations for the design and analysis of epigenome-wide association studies. Nat Methods. 2013;10:949–955.
- Guo C, Yao F, Wu K, et al. Chromatin immunoprecipitation and association study revealed a possible role of Runt-related transcription factor 3 in the ulcerative colitis of Chinese population. Clin Immunol. 2010;135:483–489.
- Yamazaki K, Umeno J, Takahashi A, et al. A genome-wide association study identifies 2 susceptibility Loci for Crohn’s disease in a Japanese population. Gastroenterology. 2013;144:781–788.
- Lotem J, Levanon D, Negreanu V, et al. Runx3 at the interface of immunity, inflammation and cancer. Biochim Biophys Acta. 2015;1855:131–143.
- Goel A, Arnold CN, Tassone P, et al. Epigenetic inactivation of RUNX3 in microsatellite unstable sporadic colon cancers. Int J Cancer. 2004;112:754–759.
- Zhang YW, Eom SY, Yim DH, et al. Evaluation of the relationship between dietary factors, CagA-positive Helicobacter pylori infection, and RUNX3 promoter hypermethylation in gastric cancer tissue. World J Gastroenterol. 2013;19:1778–1787.
- Gillman AS, Gardiner CK, Koljack CE, et al. Body mass index, diet, and exercise: testing possible linkages to breast cancer risk via DNA methylation. Breast Cancer Res Treat. 2018;168:241–248.
- Roessler J, Ammerpohl O, Gutwein J, et al. Quantitative cross-validation and content analysis of the 450k DNA methylation array from Illumina, Inc. BMC Res Notes. 2012;5:210–217.
- BLUEPRINT consortium. Quantitative comparison of DNA methylation assays for biomarker development and clinical applications. Nat Biotechnol. 2016;34:726–737.
- Milenkovic D, Vanden Berghe W, Boby C, et al. Dietary flavanols modulate the transcription of genes associated with cardiovascular pathology without changes in their DNA methylation state. PLoS One. 2014;9:e95527.
- Fiorito G, Vlaanderen J, Polidoro S, et al. EXPOsOMICS consortium‡. Oxidative stress and inflammation mediate the effect of air pollution on cardio- and cerebrovascular disease: A prospective study in nonsmokers. Environ Mol Mutagen. 2018;59:234–246.
- Adalsteinsson BT, Gudnason H, Aspelund T, et al. Heterogeneity in white blood cells has potential to confound DNA methylation measurements. PLoS One. 2012;7:e46705.