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1. Genetic risk impacts the association of menopausal hormone therapy with colorectal cancer risk

2. Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes

3. Genome-Wide Interaction Analysis of Genetic Variants With Menopausal Hormone Therapy for Colorectal Cancer Risk.

4. Folate intake and colorectal cancer risk according to genetic subtypes defined by targeted tumor sequencing

5. Probing the diabetes and colorectal cancer relationship using gene – environment interaction analyses

6. Genome-wide interaction study of dietary intake of fibre, fruits, and vegetables with risk of colorectal cancer

7. Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations

8. Separating the effects of early and later life adiposity on colorectal cancer risk: a Mendelian randomization study

9. Genome-wide association study identifies tumor anatomical site-specific risk variants for colorectal cancer survival

10. Body size and risk of colorectal cancer molecular defined subtypes and pathways: Mendelian randomization analyses

11. Prognostic role of detailed colorectal location and tumor molecular features: analyses of 13,101 colorectal cancer patients including 2994 early-onset cases

12. Genetically predicted circulating concentrations of micronutrients and risk of colorectal cancer among individuals of European descent: a Mendelian randomization study

13. Genome-wide interaction analysis of folate for colorectal cancer risk

15. Elucidating the Risk of Colorectal Cancer for Variants in Hereditary Colorectal Cancer Genes

16. Higher intake of whole grains and dietary fiber are associated with lower risk of liver cancer and chronic liver disease mortality

17. Endogenous sex steroid hormones and risk of liver cancer among US men: Results from the Liver Cancer Pooling Project

18. Associations between reproductive factors and biliary tract cancers in women from the Biliary Tract Cancers Pooling Project

20. Abdominal and gluteofemoral size and risk of liver cancer: The liver cancer pooling project

21. Exogenous hormone use, reproductive factors and risk of intrahepatic cholangiocarcinoma among women: results from cohort studies in the Liver Cancer Pooling Project and the UK Biobank

22. Landscape of somatic single nucleotide variants and indels in colorectal cancer and impact on survival.

23. Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers.

24. Functional informed genome‐wide interaction analysis of body mass index, diabetes and colorectal cancer risk

26. Proceedings of the fifth international Molecular Pathological Epidemiology (MPE) meeting

27. Two genome-wide interaction loci modify the association of nonsteroidal anti-inflammatory drugs with colorectal cancer

28. Sex hormones and risk of lung and colorectal cancers in women: a Mendelian randomization study

29. Supplemental Table 1 from Epidemiologic Factors in Relation to Colorectal Cancer Risk and Survival by Genotoxic Colibactin Mutational Signature

30. Supplemental Table 2 from Epidemiologic Factors in Relation to Colorectal Cancer Risk and Survival by Genotoxic Colibactin Mutational Signature

31. Data from Epidemiologic Factors in Relation to Colorectal Cancer Risk and Survival by Genotoxic Colibactin Mutational Signature

32. Publisher Correction: Shared heritability and functional enrichment across six solid cancers.

33. Novel Common Genetic Susceptibility Loci for Colorectal Cancer

34. Shared heritability and functional enrichment across six solid cancers.

35. Identifying colorectal cancer caused by biallelic MUTYH pathogenic variants using tumor mutational signatures

36. Association between germline variants and somatic mutations in colorectal cancer

37. Interactions between folate intake and genetic predictors of gene expression levels associated with colorectal cancer risk

38. Type 2 Diabetes and Risk of Early-Onset Colorectal Cancer

39. Mendelian randomisation study of age at menarche and age at menopause and the risk of colorectal cancer

40. Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity.

41. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity

42. Supplementary Methods from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk

43. Supplementary Table 2 from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk

44. Supplementary Figure 4 from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk

45. Data from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk

46. Supplementary Table 1 from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk

47. Supplementary Figure 1 from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk

48. Supplementary Figure 2 from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk

49. Supplementary Figure 3 from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk

50. Supplementary Figure 5 from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk

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