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1. Deciphering the genetics and mechanisms of predisposition to multiple myeloma

3. Whole genome sequencing refines stratification and therapy of patients with clear cell renal cell carcinoma

4. Genetic landscape of interval and screen detected breast cancer

5. Phenome-wide Mendelian randomisation analysis of 378,142 cases reveals risk factors for eight common cancers

6. A retrospective study of MYC rearranged diffuse large B-cell lymphoma in the context of the new WHO and ICC classifications

8. The association between genetically elevated polyunsaturated fatty acids and risk of cancerResearch in context

9. Polygenic risk scores to stratify cancer screening should predict mortality not incidence

11. Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9

12. Transcriptome-wide association study of multiple myeloma identifies candidate susceptibility genes

13. Association analyses identify 31 new risk loci for colorectal cancer susceptibility

14. Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma

15. Impact of atopy on risk of glioma: a Mendelian randomisation study

16. Author Correction: Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma

17. Author Correction: Genome-wide association study of classical Hodgkin lymphoma identifies key regulators of disease susceptibility

18. Genome-wide association study of classical Hodgkin lymphoma identifies key regulators of disease susceptibility

19. Genetic Predisposition to Multiple Myeloma at 5q15 Is Mediated by an ELL2 Enhancer Polymorphism

20. Survival in hematological malignancies in the Nordic countries through a half century with correlation to treatment

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

22. Diagnostic uncertainty presented barriers to the timely management of acute thrombotic thrombocytopenic purpura in the United Kingdom between 2014 and 2019

23. Risk factors for eight common cancers revealed from a phenome-wide Mendelian randomisation analysis of 378,142 cases and 485,715 controls

24. Realistic expectations are key to realising the benefits of polygenic scores

25. Whole genome sequencing of 2,023 colorectal cancers reveals mutational landscapes, new driver genes and immune interactions

26. Whole genome sequencing of 2,023 colorectal cancers reveals mutational landscapes, new driver genes and immune interactions

28. Response to first vaccination against SARS-CoV-2 in patients with multiple myeloma

32. The clinical utility of polygenic risk scores for chronic lymphocytic leukemia

33. Polygenic risk scores to stratify cancer screening should predict mortality not incidence

34. Will polygenic risk scores for cancer ever be clinically useful?

35. Second primary cancers in non‐Hodgkin lymphoma: Family history and survival

36. Collateral damage: the impact on outcomes from cancer surgery of the COVID-19 pandemic

37. Prioritisation by FIT to mitigate the impact of delays in the 2-week wait colorectal cancer referral pathway during the COVID-19 pandemic: a UK modelling study

38. Effect of delays in the 2-week-wait cancer referral pathway during the COVID-19 pandemic on cancer survival in the UK: a modelling study

39. Collateral damage: the impact on cancer outcomes of the COVID-19 pandemic

40. Quantifying and Mitigating the Impact of the COVID-19 Pandemic on Outcomes in Colorectal Cancer

41. Familial risks of acute myeloid leukemia, myelodysplastic syndromes, and myeloproliferative neoplasms

42. Avenue - Avelumab in the Frontline Treatment of Advanced Classic Hodgkin Lymphoma - a Window Study

43. Endocellulase Production by Cotylidia pannosa and its Application in Saccharification of Wheat Bran to Bioethanol

44. Genome-wide association studies of cancer: current insights and future perspectives

45. Genetic Predisposition to Multiple Myeloma at 5q15 Is Mediated by an ELL2 Enhancer Polymorphism

46. Publisher Correction: Mendelian randomisation study of the relationship between vitamin D and risk of glioma

47. Oxford Handbook for Medical School

48. Types of second primary cancers influence survival in chronic lymphocytic and hairy cell leukemia patients

49. Leveraging Human Genetics to Guide Cancer Drug Development

50. Author Correction: Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma

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