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

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

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

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

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

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

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

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

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

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

13. Novel Common Genetic Susceptibility Loci for Colorectal Cancer

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

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

17. Genetic mechanisms of immune evasion in colorectal cancer

18. Erratum: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls.

19. Sequence data and association statistics from 12,940 type 2 diabetes cases and controls.

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

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

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

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

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

25. 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

26. 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

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

28. 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

29. 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

30. 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

31. 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

32. 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

33. A Low-Frequency Inactivating Akt2 Variant Enriched in the Finnish Population is Associated With Fasting Insulin Levels and Type 2 Diabetes Risk.

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

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

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

38. Identifying metabolic features of colorectal cancer liability using Mendelian randomization

39. Author Response: Identifying metabolic features of colorectal cancer liability using Mendelian randomization

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

42. Identification and functional characterization of G6PC2 coding variants influencing glycemic traits define an effector transcript at the G6PC2-ABCB11 locus.

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

44. Identifying metabolic features of colorectal cancer liability using Mendelian randomization

45. Author Response: Identifying metabolic features of colorectal cancer liability using Mendelian randomization

46. Determining Risk of Colorectal Cancer and Starting Age of Screening Based on Lifestyle, Environmental, and Genetic Factors

47. Genetic variant predictors of gene expression provide new insight into risk of colorectal cancer

48. Discovery of common and rare genetic risk variants for colorectal cancer

49. Adiposity, metabolites, and colorectal cancer risk: Mendelian randomization study

50. Circulating white blood cell traits and colorectal cancer risk: A Mendelian randomisation study

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