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1. Supplementary Table S1 from Use of Deep Learning to Evaluate Tumor Microenvironmental Features for Prediction of Colon Cancer Recurrence

2. TABLE 2 from Use of Deep Learning to Evaluate Tumor Microenvironmental Features for Prediction of Colon Cancer Recurrence

3. FIGURE 2 from Use of Deep Learning to Evaluate Tumor Microenvironmental Features for Prediction of Colon Cancer Recurrence

4. FIGURE 1 from Use of Deep Learning to Evaluate Tumor Microenvironmental Features for Prediction of Colon Cancer Recurrence

5. TABLE 1 from Use of Deep Learning to Evaluate Tumor Microenvironmental Features for Prediction of Colon Cancer Recurrence

6. TABLE 3 from Use of Deep Learning to Evaluate Tumor Microenvironmental Features for Prediction of Colon Cancer Recurrence

7. Data from Use of Deep Learning to Evaluate Tumor Microenvironmental Features for Prediction of Colon Cancer Recurrence

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

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

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

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

12. Figure S3 from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci

13. Table S8 from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci

14. Data from Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci

15. Data from A Genetic Locus within the FMN1/GREM1 Gene Region Interacts with Body Mass Index in Colorectal Cancer Risk

16. Supplementary Data from A Genetic Locus within the FMN1/GREM1 Gene Region Interacts with Body Mass Index in Colorectal Cancer Risk

17. Table 2 from A Genetic Locus within the FMN1/GREM1 Gene Region Interacts with Body Mass Index in Colorectal Cancer Risk

18. Table 1 from A Genetic Locus within the FMN1/GREM1 Gene Region Interacts with Body Mass Index in Colorectal Cancer Risk

19. Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci

20. A Genetic Locus within the FMN1/GREM1 Gene Region Interacts with Body Mass Index in Colorectal Cancer Risk

24. Supplementary Table 1 from Cross-Cancer Genome-Wide Analysis of Lung, Ovary, Breast, Prostate, and Colorectal Cancer Reveals Novel Pleiotropic Associations

25. Data from Accuracy of Self-Reported Nevus and Pigmentation Phenotype Compared with Clinical Assessment in a Population-Based Study of Young Australian Adults

26. Data from Cross-Cancer Genome-Wide Analysis of Lung, Ovary, Breast, Prostate, and Colorectal Cancer Reveals Novel Pleiotropic Associations

27. Supplementary Methods, Tables 1 - 6 from A Genome-wide Association Study of Early-Onset Breast Cancer Identifies PFKM as a Novel Breast Cancer Gene and Supports a Common Genetic Spectrum for Breast Cancer at Any Age

30. Supplementary Tables S1-3 from Mendelian Randomization Study of Body Mass Index and Colorectal Cancer Risk

31. Supplementary Table 2 and Supplemental Figures from Cross-Cancer Genome-Wide Analysis of Lung, Ovary, Breast, Prostate, and Colorectal Cancer Reveals Novel Pleiotropic Associations

32. Data Supplement from Gene–Environment Interaction Involving Recently Identified Colorectal Cancer Susceptibility Loci

33. Data from Mendelian Randomization Study of Body Mass Index and Colorectal Cancer Risk

34. Data from Telomere Length Varies By DNA Extraction Method: Implications for Epidemiologic Research

35. Supplementary Data from Lynch Syndrome–Associated Breast Cancers: Clinicopathologic Characteristics of a Case Series from the Colon Cancer Family Registry

36. Supplementary Tables from SNP rs16906252C>T Is an Expression and Methylation Quantitative Trait Locus Associated with an Increased Risk of Developing MGMT-Methylated Colorectal Cancer

37. Supplementary Figure S1 from Accuracy of Self-Reported Nevus and Pigmentation Phenotype Compared with Clinical Assessment in a Population-Based Study of Young Australian Adults

38. Supplementary Figures from SNP rs16906252C>T Is an Expression and Methylation Quantitative Trait Locus Associated with an Increased Risk of Developing MGMT-Methylated Colorectal Cancer

39. Supplementary Table S1 from Accuracy of Self-Reported Nevus and Pigmentation Phenotype Compared with Clinical Assessment in a Population-Based Study of Young Australian Adults

40. Supplementary Table S7 from Intake of Dietary Fruit, Vegetables, and Fiber and Risk of Colorectal Cancer According to Molecular Subtypes: A Pooled Analysis of 9 Studies

41. Supplementary Text from Intake of Dietary Fruit, Vegetables, and Fiber and Risk of Colorectal Cancer According to Molecular Subtypes: A Pooled Analysis of 9 Studies

42. Data from Prevalence and Penetrance of Major Genes and Polygenes for Colorectal Cancer

43. Data from Lynch Syndrome–Associated Breast Cancers: Clinicopathologic Characteristics of a Case Series from the Colon Cancer Family Registry

44. Supplementary Tables from Identification of Novel Variants in Colorectal Cancer Families by High-Throughput Exome Sequencing

45. Appendix - clean version from Prevalence and Penetrance of Major Genes and Polygenes for Colorectal Cancer

46. Supplementary Figure 1 from Identification of Novel Variants in Colorectal Cancer Families by High-Throughput Exome Sequencing

47. Supplementary Data and Supplementary Tables 1 and 2 from Genetic Predictors of Circulating 25-Hydroxyvitamin D and Risk of Colorectal Cancer

48. Data from Genetic Variation in the Vitamin D Receptor (VDR) and the Vitamin D–Binding Protein (GC) and Risk for Colorectal Cancer: Results from the Colon Cancer Family Registry

49. Supplementary Tables from Prevalence and Penetrance of Major Genes and Polygenes for Colorectal Cancer

50. Supplementary Table 1 from Genetic Variation in the Vitamin D Receptor (VDR) and the Vitamin D–Binding Protein (GC) and Risk for Colorectal Cancer: Results from the Colon Cancer Family Registry

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