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

2. Unveiling Challenges in Mendelian Randomization for Gene-Environment Interaction

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 Interaction Analysis of Genetic Variants With Menopausal Hormone Therapy for Colorectal Cancer Risk.

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

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

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. Author Correction: Application of Mendelian randomization to explore the causal role of the human gut microbiome in colorectal cancer

11. Application of Mendelian randomization to explore the causal role of the human gut microbiome in colorectal cancer

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

47. Identification of Genetic Susceptibility Loci for Colorectal Tumors in a Genome-Wide Meta-analysis

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

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

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

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