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1. Disentangling the relationships of body mass index and circulating sex hormone concentrations in mammographic density using Mendelian randomization

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

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

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

5. Genome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regions

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

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

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

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

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

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

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

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

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

15. Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries

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

17. The association between genetically elevated polyunsaturated fatty acids and risk of cancer

18. Novel Common Genetic Susceptibility Loci for Colorectal Cancer

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

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

21. Author Correction: Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries

22. Nonadditive Effects of Common Genetic Variants Have a Negligent Contribution to Cancer Heritability.

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

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

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

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

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

29. 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

30. 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

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

32. 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

33. 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

34. 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

35. 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

36. 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

38. Identifying Novel Susceptibility Genes for Colorectal Cancer Risk From a Transcriptome-Wide Association Study of 125,478 Subjects

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

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

41. Genetic Variant Associated With Survival of Patients With Stage II-III Colon Cancer

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

43. Relationship of prediagnostic body mass index with survival after colorectal cancer: Stage‐specific associations

44. Genome-wide gene-environment interaction analyses to understand the relationship between red meat and processed meat intake and colorectal cancer risk.

45. Corrigendum: genome-wide association study of colorectal cancer identifies six new susceptibility loci.

46. Erratum: Corrigendum: Genome-wide association study of colorectal cancer identifies six new susceptibility loci

47. Identification of a common variant with potential pleiotropic effect on risk of inflammatory bowel disease and colorectal cancer

48. Genome-wide association study of colorectal cancer identifies six new susceptibility loci.

49. Robust best linear weighted estimator with missing covariates in survival analysis.

50. 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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