Mishra A, Giuliani G, Longo VD. Nutrition and dietary restrictions in cancer prevention. Biochim Biophys Acta. 2024;1879(1): 189063.
Murray CJ, Aravkin AY, Zheng P, Abbafati C, Abbas KM, Abbasi-Kangevari M, Abd-Allah F, Abdelalim A, Abdollahi M, Abdollahpour I, Abegaz KH. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396(10258):1223–49.
Berridge KC, Robinson TE, Aldridge JW. Dissecting components of reward: ‘liking’, ‘wanting’, and learning. Curr Opin Pharmacol. 2009;9(1):65–73.
CAS PubMed PubMed Central Google Scholar
Breen FM, Plomin R, Wardle J. Heritability of food preferences in young children. Physiol Behav. 2006;88(4–5):443–7.
Fildes A, van Jaarsveld CH, Llewellyn CH, Fisher A, Cooke L, Wardle J. Nature and nurture in children’s food preferences. Am J Clin Nutr. 2014;99(4):911–7.
Törnwall O, Silventoinen K, Kaprio J, Tuorila H. Why do some like it hot? Genetic and environmental contributions to the pleasantness of oral pungency. Physiol Behav. 2012;107(3):381–9.
Pallister T, Sharafi M, Lachance G, et al. Food preference patterns in a UK twin cohort. Twin Res Hum Genet. 2015;18(6):793–805.
Costell E, Tárrega A, Bayarri S. Food acceptance: the role of consumer perception and attitudes. Chemosensory Percept. 2010;3:42–50.
Yan H, Jin X, Zhang C, et al. Associations between diet and incidence risk of lung cancer: a Mendelian randomization study. Front Nutr. 2023;10:1149317.
PubMed PubMed Central Google Scholar
Li G, Ma D, Zhang Y, Zheng W, Wang P. Coffee consumption and risk of colorectal cancer: a meta-analysis of observational studies. Public Health Nutr. 2013;16(2):346–57.
Cao S, Liu L, Yin X, Wang Y, Liu J, Lu Z. Coffee consumption and risk of prostate cancer: a meta-analysis of prospective cohort studies. Carcinogenesis. 2014;35(2):256–61.
Bravi F, Tavani A, Bosetti C, Boffetta P, La Vecchia C. Coffee and the risk of hepatocellular carcinoma and chronic liver disease: a systematic review and meta-analysis of prospective studies. Eur J Cancer Prev. 2017;26(5):368–77.
Lafranconi A, Micek A, Galvano F, et al. Coffee decreases the risk of endometrial cancer: a dose-response meta-analysis of prospective cohort studies. Nutrients. 2017;9(11):1223.
PubMed PubMed Central Google Scholar
Mozaffarian D, Rosenberg I, Uauy R. History of modern nutrition science-implications for current research, dietary guidelines, and food policy. BMJ. 2018;361: k2392.
PubMed PubMed Central Google Scholar
Smith GD, Ebrahim S. “Mendelian randomization”: can genetic epidemiology contribute to understanding environmental determinants of disease? Int J Epidemiol. 2003;32(1):1–22.
Burgess S, Scott RA, Timpson NJ, Davey Smith G, Thompson SG. Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors. Eur J Epidemiol. 2015;30(7):543–52.
PubMed PubMed Central Google Scholar
May-Wilson S, Matoba N, Wade KH, et al. Large-scale GWAS of food liking reveals genetic determinants and genetic correlations with distinct neurophysiological traits. Nat Commun. 2022;13(1):2743.
CAS PubMed PubMed Central Google Scholar
Sudlow C, Gallacher J, Allen N, et al. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 2015;12(3): e1001779.
PubMed PubMed Central Google Scholar
Hecht SS, Hatsukami DK. Smokeless tobacco and cigarette smoking: chemical mechanisms and cancer prevention. Nat Rev Cancer. 2022;22(3):143–55.
CAS PubMed PubMed Central Google Scholar
Griswold MG, Fullman N, Hawley C, Arian N, Zimsen SR, Tymeson HD, Venkateswaran V, Tapp AD, Forouzanfar MH, Salama JS, Abate KH. Alcohol use and burden for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2018;392(10152):1015–35.
Malcomson FC, Parra-Soto S, Lu L, et al. Socioeconomic differences in adherence to the World Cancer Research Fund Cancer Prevention Recommendations in the UK Biobank cohort. The Lancet. 2022;400:S60.
Burgess S, Thompson SG. Avoiding bias from weak instruments in Mendelian randomization studies. Int J Epidemiol. 2011;40(3):755–64.
Papadimitriou N, Dimou N, Tsilidis KK, et al. Physical activity and risks of breast and colorectal cancer: a Mendelian randomisation analysis. Nat Commun. 2020;11(1):597.
CAS PubMed PubMed Central Google Scholar
Lin L, Tang Y, Ning K, Li X, Hu X. Investigating the causal associations between metabolic biomarkers and the risk of kidney cancer. Commun Biol. 2024;7(1):398.
CAS PubMed PubMed Central Google Scholar
Verbanck M, Chen CY, Neale B, Do R. Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases. Nat Genet. 2018;50(5):693–8.
CAS PubMed PubMed Central Google Scholar
Hemani G, Zheng J, Elsworth B, et al. The MR-Base platform supports systematic causal inference across the human phenome. Elife. 2018;7: e34408.
PubMed PubMed Central Google Scholar
Xie J, Huang H, Liu Z, et al. The associations between modifiable risk factors and nonalcoholic fatty liver disease: a comprehensive Mendelian randomization study. Hepatology. 2023;77(3):949–64.
Hemani G, Tilling K, Davey SG. Orienting the causal relationship between imprecisely measured traits using GWAS summary data. PLoS Genet. 2017;13(11): e1007081.
PubMed PubMed Central Google Scholar
Stacewicz-Sapuntzakis M, Borthakur G, Burns JL, Bowen PE. Correlations of dietary patterns with prostate health. Mol Nutr Food Res. 2008;52(1):114–30.
Kothapalli KSD, Park HG, Kothapalli NSL, Brenna JT. FADS2 function at the major cancer hotspot 11q13 locus alters fatty acid metabolism in cancer. Prog Lipid Res. 2023;92: 101242.
Chang CW, Chen YS, Huang CH, et al. A genetic basis of mitochondrial DNAJA3 in nonalcoholic steatohepatitis-related hepatocellular carcinoma. Hepatology. 2025;81(1):60–76.
Rocha DM, Caldas AP, Oliveira LL, Bressan J, Hermsdorff HH. Saturated fatty acids trigger TLR4-mediated inflammatory response. Atherosclerosis. 2016;244:211–5.
Machado JC, Figueiredo C, Canedo P, et al. A proinflammatory genetic profile increases the risk for chronic atrophic gastritis and gastric carcinoma. Gastroenterology. 2003;125(2):364–71.
Wang XQ, Terry PD, Cheng L, et al. Interactions between pork consumption, CagA status and IL-1B-31 genotypes in gastric cancer. World J Gastroenterol. 2014;20(25):8151–7.
PubMed PubMed Central Google Scholar
Correa P, Piazuelo MB. The gastric precancerous cascade. J Dig Dis. 2012;13(1):2–9.
PubMed PubMed Central Google Scholar
Tsugane S, Sasazuki S. Diet and the risk of gastric cancer: review of epidemiological evidence. Gastric Cancer. 2007;10(2):75–83.
Seitz HK, Stickel F. Molecular mechanisms of alcohol-mediated carcinogenesis. Nat Rev Cancer. 2007;7(8):599–612.
Joo Kang S, Shin CM, Sung J, Kim N. Association between ALDH2 polymorphism and gastric cancer risk in terms of alcohol consumption: a meta-analysis. Alcohol Clin Exp Res. 2021;45(1):6–14.
Sawcer S, Hellenthal G, Pirinen M, et al. Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis. Nature. 2011;476(7359):214–9.
CAS PubMed PubMed Central Google Scholar
Ten LC, Chin YM, Tai MC, et al. SNP variants associated with non-Hodgkin lymphoma (NHL) correlate with human leukocyte antigen (HLA) class II expression. Sci Rep. 2017;7:41400.
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