Skip to main content
Top
Published in: BMC Cancer 1/2023

Open Access 01-12-2023 | Research

Assessments of dietary intake and polygenic risk score in associations with colorectal cancer risk: evidence from the UK Biobank

Authors: Tung Hoang, Sooyoung Cho, Ji-Yeob Choi, Daehee Kang, Aesun Shin

Published in: BMC Cancer | Issue 1/2023

Login to get access

Abstract

Background

This study aimed to explore the potential interaction between dietary intake and genetics on incident colorectal cancer (CRC) and whether adherence to healthy dietary habits could attenuate CRC risk in individuals at high genetic risk.

Methods

We analyzed prospective cohort data of 374,004 participants who were free of any cancers at enrollment in UK Biobank. Dietary scores were created based on three dietary recommendations of the World Cancer Research Fund (WCRF) and the overall effects of 11 foods on CRC risks using the inverse-variance (IV) method. Genetic risk was assessed using a polygenic risk score (PRS) capturing overall CRC risk. Cox proportional hazard models were used to calculate hazard ratios (HRs) and 95% CIs (confidence intervals) of associations. Interactions between dietary factors and the PRS were examined using a likelihood ratio test to compare models with and without the interaction term.

Results

During a median follow-up of 12.4 years, 4,686 CRC cases were newly diagnosed. Both low adherence to the WCRF recommendations (HR = 1.12, 95% CI = 1.05–1.19) and high IV-weighted dietary scores (HR = 1.27, 95% CI = 1.18–1.37) were associated with CRC risks. The PRS of 98 genetic variants was associated with an increased CRC risk (HRT3vsT1 = 2.12, 95% CI = 1.97–2.29). Participants with both unfavorable dietary habits and a high PRS had a more than twofold increased risk of developing CRC; however, the interaction was not significant. Adherence to an overall healthy diet might attenuate CRC risks in those with high genetic risks (HR = 1.21, 95% CI = 1.08–1.35 for high vs. low IV-weighted dietary scores), while adherence to WCRF dietary recommendations showed marginal effects only (HR = 1.09, 95% CI = 1.00–1.19 for low vs. high WCRF dietary scores).

Conclusion

Dietary habits and the PRS were independently associated with CRC risks. Adherence to healthy dietary habits may exert beneficial effects on CRC risk reduction in individuals at high genetic risk.
Appendix
Available only for authorised users
Literature
1.
go back to reference Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–49.PubMed Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–49.PubMed
2.
go back to reference Carini F, Mazzola M, Rappa F, Jurjus A, Geagea AG, Al Kattar S, Bou-Assi T, Jurjus R, Damiani P, Leone A, et al. Colorectal carcinogenesis: role of oxidative stress and antioxidants. Anticancer Res. 2017;37(9):4759–66.PubMed Carini F, Mazzola M, Rappa F, Jurjus A, Geagea AG, Al Kattar S, Bou-Assi T, Jurjus R, Damiani P, Leone A, et al. Colorectal carcinogenesis: role of oxidative stress and antioxidants. Anticancer Res. 2017;37(9):4759–66.PubMed
3.
go back to reference Yu YC, Paragomi P, Wang R, Jin A, Schoen RE, Sheng LT, Pan A, Koh WP, Yuan JM, Luu HN. Composite dietary antioxidant index and the risk of colorectal cancer: Findings from the Singapore Chinese Health Study. Int J Cancer. 2022;150(10):1599–608.PubMedPubMedCentral Yu YC, Paragomi P, Wang R, Jin A, Schoen RE, Sheng LT, Pan A, Koh WP, Yuan JM, Luu HN. Composite dietary antioxidant index and the risk of colorectal cancer: Findings from the Singapore Chinese Health Study. Int J Cancer. 2022;150(10):1599–608.PubMedPubMedCentral
4.
go back to reference Jakszyn P, Cayssials V, Buckland G, Perez-Cornago A, Weiderpass E, Boeing H, Bergmann MM, Vulcan A, Ohlsson B, Masala G, et al. Inflammatory potential of the diet and risk of colorectal cancer in the European Prospective Investigation into Cancer and Nutrition study. Int J Cancer. 2020;147(4):1027–39.PubMed Jakszyn P, Cayssials V, Buckland G, Perez-Cornago A, Weiderpass E, Boeing H, Bergmann MM, Vulcan A, Ohlsson B, Masala G, et al. Inflammatory potential of the diet and risk of colorectal cancer in the European Prospective Investigation into Cancer and Nutrition study. Int J Cancer. 2020;147(4):1027–39.PubMed
5.
go back to reference Song M, Garrett WS, Chan AT. Nutrients, foods, and colorectal cancer prevention. Gastroenterology. 2015;148(6):1244-1260 e1216.PubMed Song M, Garrett WS, Chan AT. Nutrients, foods, and colorectal cancer prevention. Gastroenterology. 2015;148(6):1244-1260 e1216.PubMed
6.
go back to reference Peters U, Bien S, Zubair N. Genetic architecture of colorectal cancer. Gut. 2015;64(10):1623–36.PubMed Peters U, Bien S, Zubair N. Genetic architecture of colorectal cancer. Gut. 2015;64(10):1623–36.PubMed
7.
go back to reference Hutter CM, Chang-Claude J, Slattery ML, Pflugeisen BM, Lin Y, Duggan D, Nan H, Lemire M, Rangrej J, Figueiredo JC, et al. Characterization of gene-environment interactions for colorectal cancer susceptibility loci. Cancer Res. 2012;72(8):2036–44.PubMedPubMedCentral Hutter CM, Chang-Claude J, Slattery ML, Pflugeisen BM, Lin Y, Duggan D, Nan H, Lemire M, Rangrej J, Figueiredo JC, et al. Characterization of gene-environment interactions for colorectal cancer susceptibility loci. Cancer Res. 2012;72(8):2036–44.PubMedPubMedCentral
8.
go back to reference Kantor ED, Giovannucci EL. Gene-diet interactions and their impact on colorectal cancer risk. Curr Nutr Rep. 2015;4(1):13–21.PubMed Kantor ED, Giovannucci EL. Gene-diet interactions and their impact on colorectal cancer risk. Curr Nutr Rep. 2015;4(1):13–21.PubMed
9.
go back to reference Lu YT, Gunathilake M, Lee J, Kim Y, Oh JH, Chang HJ, Sohn DK, Shin A, Kim J. Coffee consumption and its interaction with the genetic variant AhR rs2066853 in colorectal cancer risk: a case-control study in Korea. Carcinogenesis. 2022;43(3):203–16.PubMed Lu YT, Gunathilake M, Lee J, Kim Y, Oh JH, Chang HJ, Sohn DK, Shin A, Kim J. Coffee consumption and its interaction with the genetic variant AhR rs2066853 in colorectal cancer risk: a case-control study in Korea. Carcinogenesis. 2022;43(3):203–16.PubMed
10.
go back to reference Huyghe JR, Bien SA, Harrison TA, Kang HM, Chen S, Schmit SL, Conti DV, Qu C, Jeon J, Edlund CK, et al. Discovery of common and rare genetic risk variants for colorectal cancer. Nat Genet. 2019;51(1):76–87.PubMed Huyghe JR, Bien SA, Harrison TA, Kang HM, Chen S, Schmit SL, Conti DV, Qu C, Jeon J, Edlund CK, et al. Discovery of common and rare genetic risk variants for colorectal cancer. Nat Genet. 2019;51(1):76–87.PubMed
11.
go back to reference Law PJ, Timofeeva M, Fernandez-Rozadilla C, Broderick P, Studd J, Fernandez-Tajes J, Farrington S, Svinti V, Palles C, Orlando G, et al. Association analyses identify 31 new risk loci for colorectal cancer susceptibility. Nat Commun. 2019;10(1):2154.PubMedPubMedCentral Law PJ, Timofeeva M, Fernandez-Rozadilla C, Broderick P, Studd J, Fernandez-Tajes J, Farrington S, Svinti V, Palles C, Orlando G, et al. Association analyses identify 31 new risk loci for colorectal cancer susceptibility. Nat Commun. 2019;10(1):2154.PubMedPubMedCentral
12.
go back to reference Fritsche LG, Ma Y, Zhang D, Salvatore M, Lee S, Zhou X, Mukherjee B. On cross-ancestry cancer polygenic risk scores. PLoS Genet. 2021;17(9): e1009670.PubMedPubMedCentral Fritsche LG, Ma Y, Zhang D, Salvatore M, Lee S, Zhou X, Mukherjee B. On cross-ancestry cancer polygenic risk scores. PLoS Genet. 2021;17(9): e1009670.PubMedPubMedCentral
13.
go back to reference Choi SW, Mak TS, O’Reilly PF. Tutorial: a guide to performing polygenic risk score analyses. Nat Protoc. 2020;15(9):2759–72.PubMedPubMedCentral Choi SW, Mak TS, O’Reilly PF. Tutorial: a guide to performing polygenic risk score analyses. Nat Protoc. 2020;15(9):2759–72.PubMedPubMedCentral
14.
15.
go back to reference San-Cristobal R, de Toro-Martin J, Vohl MC. Appraisal of gene-environment interactions in GWAS for evidence-based precision nutrition implementation. Curr Nutr Rep. 2022;11(4):563–73.PubMedPubMedCentral San-Cristobal R, de Toro-Martin J, Vohl MC. Appraisal of gene-environment interactions in GWAS for evidence-based precision nutrition implementation. Curr Nutr Rep. 2022;11(4):563–73.PubMedPubMedCentral
16.
go back to reference Berry SE, Valdes AM, Drew DA, Asnicar F, Mazidi M, Wolf J, Capdevila J, Hadjigeorgiou G, Davies R, Al Khatib H, et al. Human postprandial responses to food and potential for precision nutrition. Nat Med. 2020;26(6):964–73.PubMedPubMedCentral Berry SE, Valdes AM, Drew DA, Asnicar F, Mazidi M, Wolf J, Capdevila J, Hadjigeorgiou G, Davies R, Al Khatib H, et al. Human postprandial responses to food and potential for precision nutrition. Nat Med. 2020;26(6):964–73.PubMedPubMedCentral
17.
go back to reference Haycock PC, Borges MC, Burrows K, Lemaitre RN, Burgess S, Khankari NK, Tsilidis KK, Gaunt TR, Hemani G, Zheng J, et al. The association between genetically elevated polyunsaturated fatty acids and risk of cancer. EBioMedicine. 2023;91: 104510.PubMedPubMedCentral Haycock PC, Borges MC, Burrows K, Lemaitre RN, Burgess S, Khankari NK, Tsilidis KK, Gaunt TR, Hemani G, Zheng J, et al. The association between genetically elevated polyunsaturated fatty acids and risk of cancer. EBioMedicine. 2023;91: 104510.PubMedPubMedCentral
18.
go back to reference Zhao J, Li Z, Gao Q, Zhao H, Chen S, Huang L, Wang W, Wang T. A review of statistical methods for dietary pattern analysis. Nutr J. 2021;20(1):37.PubMedPubMedCentral Zhao J, Li Z, Gao Q, Zhao H, Chen S, Huang L, Wang W, Wang T. A review of statistical methods for dietary pattern analysis. Nutr J. 2021;20(1):37.PubMedPubMedCentral
19.
20.
go back to reference Bycroft C, Freeman C, Petkova D, Band G, Elliott LT, Sharp K, Motyer A, Vukcevic D, Delaneau O, O’Connell J, et al. The UK Biobank resource with deep phenotyping and genomic data. Nature. 2018;562(7726):203–9.PubMedPubMedCentral Bycroft C, Freeman C, Petkova D, Band G, Elliott LT, Sharp K, Motyer A, Vukcevic D, Delaneau O, O’Connell J, et al. The UK Biobank resource with deep phenotyping and genomic data. Nature. 2018;562(7726):203–9.PubMedPubMedCentral
21.
go back to reference Sudlow C, Gallacher J, Allen N, Beral V, Burton P, Danesh J, Downey P, Elliott P, Green J, Landray M, 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.PubMedPubMedCentral Sudlow C, Gallacher J, Allen N, Beral V, Burton P, Danesh J, Downey P, Elliott P, Green J, Landray M, 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.PubMedPubMedCentral
22.
go back to reference Bradbury KE, Young HJ, Guo W, Key TJ. Dietary assessment in UK Biobank: an evaluation of the performance of the touchscreen dietary questionnaire. J Nutr Sci. 2018;7: e6.PubMedPubMedCentral Bradbury KE, Young HJ, Guo W, Key TJ. Dietary assessment in UK Biobank: an evaluation of the performance of the touchscreen dietary questionnaire. J Nutr Sci. 2018;7: e6.PubMedPubMedCentral
23.
go back to reference Bradbury KE, Murphy N, Key TJ. Diet and colorectal cancer in UK Biobank: a prospective study. Int J Epidemiol. 2020;49(1):246–58.PubMed Bradbury KE, Murphy N, Key TJ. Diet and colorectal cancer in UK Biobank: a prospective study. Int J Epidemiol. 2020;49(1):246–58.PubMed
24.
go back to reference Choi J, Jia G, Wen W, Shu XO, Zheng W. Healthy lifestyles, genetic modifiers, and colorectal cancer risk: a prospective cohort study in the UK Biobank. Am J Clin Nutr. 2021;113(4):810–20.PubMedPubMedCentral Choi J, Jia G, Wen W, Shu XO, Zheng W. Healthy lifestyles, genetic modifiers, and colorectal cancer risk: a prospective cohort study in the UK Biobank. Am J Clin Nutr. 2021;113(4):810–20.PubMedPubMedCentral
25.
go back to reference Kaluza J, Harris HR, Hakansson N, Wolk A. Adherence to the WCRF/AICR 2018 recommendations for cancer prevention and risk of cancer: prospective cohort studies of men and women. Br J Cancer. 2020;122(10):1562–70.PubMedPubMedCentral Kaluza J, Harris HR, Hakansson N, Wolk A. Adherence to the WCRF/AICR 2018 recommendations for cancer prevention and risk of cancer: prospective cohort studies of men and women. Br J Cancer. 2020;122(10):1562–70.PubMedPubMedCentral
27.
go back to reference Zhang X, Li X, He Y, Law PJ, Farrington SM, Campbell H, Tomlinson IPM, Houlston RS, Dunlop MG, Timofeeva M et al: Phenome-wide association study (PheWAS) of colorectal cancer risk SNP effects on health outcomes in UK Biobank. Br J Cancer 2021. Zhang X, Li X, He Y, Law PJ, Farrington SM, Campbell H, Tomlinson IPM, Houlston RS, Dunlop MG, Timofeeva M et al: Phenome-wide association study (PheWAS) of colorectal cancer risk SNP effects on health outcomes in UK Biobank. Br J Cancer 2021.
28.
go back to reference Myers TA, Chanock SJ, Machiela MJ. LDlinkR: an R package for rapidly calculating linkage disequilibrium statistics in diverse populations. Front Genet. 2020;11:157.PubMedPubMedCentral Myers TA, Chanock SJ, Machiela MJ. LDlinkR: an R package for rapidly calculating linkage disequilibrium statistics in diverse populations. Front Genet. 2020;11:157.PubMedPubMedCentral
29.
go back to reference Machiela MJ, Chanock SJ. LDlink: a web-based application for exploring population-specific haplotype structure and linking correlated alleles of possible functional variants. Bioinformatics. 2015;31(21):3555–7.PubMedPubMedCentral Machiela MJ, Chanock SJ. LDlink: a web-based application for exploring population-specific haplotype structure and linking correlated alleles of possible functional variants. Bioinformatics. 2015;31(21):3555–7.PubMedPubMedCentral
30.
go back to reference Kachuri L, Graff RE, Smith-Byrne K, Meyers TJ, Rashkin SR, Ziv E, Witte JS, Johansson M. Pan-cancer analysis demonstrates that integrating polygenic risk scores with modifiable risk factors improves risk prediction. Nat Commun. 2020;11(1):6084.PubMedPubMedCentral Kachuri L, Graff RE, Smith-Byrne K, Meyers TJ, Rashkin SR, Ziv E, Witte JS, Johansson M. Pan-cancer analysis demonstrates that integrating polygenic risk scores with modifiable risk factors improves risk prediction. Nat Commun. 2020;11(1):6084.PubMedPubMedCentral
31.
go back to reference Hanley JA. A heuristic approach to the formulas for population attributable fraction. J Epidemiol Community Health. 2001;55(7):508–14.PubMedPubMedCentral Hanley JA. A heuristic approach to the formulas for population attributable fraction. J Epidemiol Community Health. 2001;55(7):508–14.PubMedPubMedCentral
32.
go back to reference Hughes RA, Heron J, Sterne JAC, Tilling K. Accounting for missing data in statistical analyses: multiple imputation is not always the answer. Int J Epidemiol. 2019;48(4):1294–304.PubMedPubMedCentral Hughes RA, Heron J, Sterne JAC, Tilling K. Accounting for missing data in statistical analyses: multiple imputation is not always the answer. Int J Epidemiol. 2019;48(4):1294–304.PubMedPubMedCentral
33.
go back to reference Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, Maller J, Sklar P, de Bakker PI, Daly MJ, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007;81(3):559–75.PubMedPubMedCentral Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, Maller J, Sklar P, de Bakker PI, Daly MJ, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007;81(3):559–75.PubMedPubMedCentral
34.
go back to reference Vieira AR, Abar L, Chan DSM, Vingeliene S, Polemiti E, Stevens C, Greenwood D, Norat T. Foods and beverages and colorectal cancer risk: a systematic review and meta-analysis of cohort studies, an update of the evidence of the WCRF-AICR Continuous Update Project. Ann Oncol. 2017;28(8):1788–802.PubMed Vieira AR, Abar L, Chan DSM, Vingeliene S, Polemiti E, Stevens C, Greenwood D, Norat T. Foods and beverages and colorectal cancer risk: a systematic review and meta-analysis of cohort studies, an update of the evidence of the WCRF-AICR Continuous Update Project. Ann Oncol. 2017;28(8):1788–802.PubMed
35.
go back to reference Papadimitriou N, Markozannes G, Kanellopoulou A, Critselis E, Alhardan S, Karafousia V, Kasimis JC, Katsaraki C, Papadopoulou A, Zografou M, et al. An umbrella review of the evidence associating diet and cancer risk at 11 anatomical sites. Nat Commun. 2021;12(1):4579.PubMedPubMedCentral Papadimitriou N, Markozannes G, Kanellopoulou A, Critselis E, Alhardan S, Karafousia V, Kasimis JC, Katsaraki C, Papadopoulou A, Zografou M, et al. An umbrella review of the evidence associating diet and cancer risk at 11 anatomical sites. Nat Commun. 2021;12(1):4579.PubMedPubMedCentral
36.
go back to reference Turner ND, Lloyd SK. Association between red meat consumption and colon cancer: A systematic review of experimental results. Exp Biol Med (Maywood). 2017;242(8):813–39.PubMed Turner ND, Lloyd SK. Association between red meat consumption and colon cancer: A systematic review of experimental results. Exp Biol Med (Maywood). 2017;242(8):813–39.PubMed
37.
go back to reference Bouvard V, Loomis D, Guyton KZ, Grosse Y, Ghissassi FE, Benbrahim-Tallaa L, Guha N, Mattock H, Straif K. International agency for research on cancer monograph working G: carcinogenicity of consumption of red and processed meat. Lancet Oncol. 2015;16(16):1599–600.PubMed Bouvard V, Loomis D, Guyton KZ, Grosse Y, Ghissassi FE, Benbrahim-Tallaa L, Guha N, Mattock H, Straif K. International agency for research on cancer monograph working G: carcinogenicity of consumption of red and processed meat. Lancet Oncol. 2015;16(16):1599–600.PubMed
38.
go back to reference Domingo JL, Nadal M. Carcinogenicity of consumption of red meat and processed meat: a review of scientific news since the IARC decision. Food Chem Toxicol. 2017;105:256–61.PubMed Domingo JL, Nadal M. Carcinogenicity of consumption of red meat and processed meat: a review of scientific news since the IARC decision. Food Chem Toxicol. 2017;105:256–61.PubMed
39.
go back to reference Ditonno I, Losurdo G, Rendina M, Pricci M, Girardi B, Ierardi E, Di Leo A. Estrogen receptors in colorectal cancer: facts, novelties and perspectives. Curr Oncol. 2021;28(6):4256–63.PubMedPubMedCentral Ditonno I, Losurdo G, Rendina M, Pricci M, Girardi B, Ierardi E, Di Leo A. Estrogen receptors in colorectal cancer: facts, novelties and perspectives. Curr Oncol. 2021;28(6):4256–63.PubMedPubMedCentral
40.
go back to reference He YQ, Sheng JQ, Ling XL, Fu L, Jin P, Yen L, Rao J. Estradiol regulates miR-135b and mismatch repair gene expressions via estrogen receptor-beta in colorectal cells. Exp Mol Med. 2012;44(12):723–32.PubMedPubMedCentral He YQ, Sheng JQ, Ling XL, Fu L, Jin P, Yen L, Rao J. Estradiol regulates miR-135b and mismatch repair gene expressions via estrogen receptor-beta in colorectal cells. Exp Mol Med. 2012;44(12):723–32.PubMedPubMedCentral
41.
go back to reference Nussler NC, Reinbacher K, Shanny N, Schirmeier A, Glanemann M, Neuhaus P, Nussler AK, Kirschner M. Sex-specific differences in the expression levels of estrogen receptor subtypes in colorectal cancer. Gend Med. 2008;5(3):209–17.PubMed Nussler NC, Reinbacher K, Shanny N, Schirmeier A, Glanemann M, Neuhaus P, Nussler AK, Kirschner M. Sex-specific differences in the expression levels of estrogen receptor subtypes in colorectal cancer. Gend Med. 2008;5(3):209–17.PubMed
42.
go back to reference Skolmowska D, Glabska D: Analysis of heme and non-heme iron intake and iron dietary sources in adolescent menstruating females in a national Polish sample. Nutrients 2019, 11(5). Skolmowska D, Glabska D: Analysis of heme and non-heme iron intake and iron dietary sources in adolescent menstruating females in a national Polish sample. Nutrients 2019, 11(5).
43.
go back to reference Harvey LJ, Armah CN, Dainty JR, Foxall RJ, John Lewis D, Langford NJ, Fairweather-Tait SJ. Impact of menstrual blood loss and diet on iron deficiency among women in the UK. Br J Nutr. 2005;94(4):557–64.PubMed Harvey LJ, Armah CN, Dainty JR, Foxall RJ, John Lewis D, Langford NJ, Fairweather-Tait SJ. Impact of menstrual blood loss and diet on iron deficiency among women in the UK. Br J Nutr. 2005;94(4):557–64.PubMed
44.
go back to reference Tang GY, Meng X, Gan RY, Zhao CN, Liu Q, Feng YB, Li S, Wei XL, Atanasov AG, Corke H et al: Health functions and related molecular mechanisms of tea components: an update review. Int J Mol Sci 2019, 20(24). Tang GY, Meng X, Gan RY, Zhao CN, Liu Q, Feng YB, Li S, Wei XL, Atanasov AG, Corke H et al: Health functions and related molecular mechanisms of tea components: an update review. Int J Mol Sci 2019, 20(24).
45.
go back to reference Gan RY, Li HB, Sui ZQ, Corke H. Absorption, metabolism, anti-cancer effect and molecular targets of epigallocatechin gallate (EGCG): an updated review. Crit Rev Food Sci Nutr. 2018;58(6):924–41.PubMed Gan RY, Li HB, Sui ZQ, Corke H. Absorption, metabolism, anti-cancer effect and molecular targets of epigallocatechin gallate (EGCG): an updated review. Crit Rev Food Sci Nutr. 2018;58(6):924–41.PubMed
46.
go back to reference Zhu MZ, Lu DM, Ouyang J, Zhou F, Huang PF, Gu BZ, Tang JW, Shen F, Li JF, Li YL, et al. Tea consumption and colorectal cancer risk: a meta-analysis of prospective cohort studies. Eur J Nutr. 2020;59(8):3603–15.PubMed Zhu MZ, Lu DM, Ouyang J, Zhou F, Huang PF, Gu BZ, Tang JW, Shen F, Li JF, Li YL, et al. Tea consumption and colorectal cancer risk: a meta-analysis of prospective cohort studies. Eur J Nutr. 2020;59(8):3603–15.PubMed
47.
go back to reference Liu W, Wang T, Zhu M, Jin G: Healthy diet, polygenic risk score, and upper gastrointestinal cancer risk: a prospective study from UK Biobank. Nutrients 2023, 15(6). Liu W, Wang T, Zhu M, Jin G: Healthy diet, polygenic risk score, and upper gastrointestinal cancer risk: a prospective study from UK Biobank. Nutrients 2023, 15(6).
48.
go back to reference Saunders CL, Kilian B, Thompson DJ, McGeoch LJ, Griffin SJ, Antoniou AC, Emery JD, Walter FM, Dennis J, Yang X, et al. External validation of risk prediction models incorporating common genetic variants for incident colorectal cancer using UK Biobank. Cancer Prev Res (Phila). 2020;13(6):509–20.PubMed Saunders CL, Kilian B, Thompson DJ, McGeoch LJ, Griffin SJ, Antoniou AC, Emery JD, Walter FM, Dennis J, Yang X, et al. External validation of risk prediction models incorporating common genetic variants for incident colorectal cancer using UK Biobank. Cancer Prev Res (Phila). 2020;13(6):509–20.PubMed
49.
go back to reference McGeoch L, Saunders CL, Griffin SJ, Emery JD, Walter FM, Thompson DJ, Antoniou AC, Usher-Smith JA. Risk prediction models for colorectal cancer incorporating common genetic variants: a systematic review. Cancer Epidemiol Biomarkers Prev. 2019;28(10):1580–93.PubMedPubMedCentral McGeoch L, Saunders CL, Griffin SJ, Emery JD, Walter FM, Thompson DJ, Antoniou AC, Usher-Smith JA. Risk prediction models for colorectal cancer incorporating common genetic variants: a systematic review. Cancer Epidemiol Biomarkers Prev. 2019;28(10):1580–93.PubMedPubMedCentral
50.
go back to reference Watanabe K, Taskesen E, van Bochoven A, Posthuma D. Functional mapping and annotation of genetic associations with FUMA. Nat Commun. 2017;8(1):1826.PubMedPubMedCentral Watanabe K, Taskesen E, van Bochoven A, Posthuma D. Functional mapping and annotation of genetic associations with FUMA. Nat Commun. 2017;8(1):1826.PubMedPubMedCentral
51.
go back to reference Kantor ED, Hutter CM, Minnier J, Berndt SI, Brenner H, Caan BJ, Campbell PT, Carlson CS, Casey G, Chan AT, et al. Gene-environment interaction involving recently identified colorectal cancer susceptibility Loci. Cancer Epidemiol Biomarkers Prev. 2014;23(9):1824–33.PubMedPubMedCentral Kantor ED, Hutter CM, Minnier J, Berndt SI, Brenner H, Caan BJ, Campbell PT, Carlson CS, Casey G, Chan AT, et al. Gene-environment interaction involving recently identified colorectal cancer susceptibility Loci. Cancer Epidemiol Biomarkers Prev. 2014;23(9):1824–33.PubMedPubMedCentral
Metadata
Title
Assessments of dietary intake and polygenic risk score in associations with colorectal cancer risk: evidence from the UK Biobank
Authors
Tung Hoang
Sooyoung Cho
Ji-Yeob Choi
Daehee Kang
Aesun Shin
Publication date
01-12-2023
Publisher
BioMed Central
Published in
BMC Cancer / Issue 1/2023
Electronic ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-023-11482-1

Other articles of this Issue 1/2023

BMC Cancer 1/2023 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine