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2. Does a Multiple Myeloma Polygenic Risk Score Predict Overall Survival of Patients with Myeloma?

3. Identification of novel genetic loci for risk of multiple myeloma by functional annotation

6. Evaluation of 4 prognostic indices in follicular lymphoma treated in first line with immunochemotherapy

8. A polygenic risk score for multiple myeloma risk prediction

10. Principal Bioactive Properties of Oleanolic Acid, Its Derivatives, and Analogues.

11. Modulating anti-inflammatory and anticancer properties by designing a family of metal-complexes based on 5-nitropicolinic acid.

13. Validation and functional characterization of GWAS-identified variants for chronic lymphocytic leukemia: a CRuCIAL study

15. Metabolomics signature as a survival predictor in patients with resectable colorectal liver metastasis

17. Genome-wide association study identifies variants at 16p13 associated with survival in multiple myeloma patients.

19. Genetically determined telomere length and multiple myeloma risk and outcome

20. Exome sequencing identifies germline variants in DIS3 in familial multiple myeloma

21. Polymorphisms at phase I-metabolizing enzyme and hormone receptor loci influence the response to anti-TNF therapy in rheumatoid arthritis patients

22. Barreras Invisibles : Jóvenes, pobreza y violencia

25. Genetic polymorphisms associated with telomere length and risk of developing myeloproliferative neoplasms

26. NFKB2 polymorphisms associate with the risk of developing rheumatoid arthritis and response to TNF inhibitors: Results from the REPAIR consortium

28. Polymorphisms within Autophagy-Related Genes as Susceptibility Biomarkers for Multiple Myeloma: A Meta-Analysis of Three Large Cohorts and Functional Characterization

29. Do GWAS-Identified Risk Variants for Chronic Lymphocytic Leukemia Influence Overall Patient Survival and Disease Progression?

30. GWAS-Identified Variants for Obesity Do Not Influence the Risk of Developing Multiple Myeloma: A Population-Based Study and Meta-Analysis

31. GWAS-Identified Variants for Obesity Do Not Influence the Risk of Developing Multiple Myeloma: A Population-Based Study and Meta-Analysis

32. Polymorphisms within Autophagy-Related Genes as Susceptibility Biomarkers for Multiple Myeloma:A Meta-Analysis of Three Large Cohorts and Functional Characterization

33. A pleiotropic variant in DNAJB4 is associated with multiple myeloma risk

34. Polymorphisms within Autophagy-Related Genes as Susceptibility Biomarkers for Multiple Myeloma: A Meta-Analysis of Three Large Cohorts and Functional Characterization

35. Identification of novel genetic loci for risk of multiple myeloma by functional annotation

36. A pleiotropic variant in DNAJB4 is associated with multiple myeloma risk

37. Do GWAS-Identified Risk Variants for Chronic Lymphocytic Leukemia Influence Overall Patient Survival and Disease Progression?

39. Steroid hormone-related polymorphisms associate with the development of bone erosions in rheumatoid arthritis and help to predict disease progression: Results from the REPAIR consortium

40. Trends in survival of multiple myeloma: A thirty-year population-based study in a single institution

41. Correction: Polymorphisms at phase I-metabolizing enzyme and hormone receptor loci influence the response to anti-TNF therapy in rheumatoid arthritis patients

42. Evaluation of four prognostic indices in follicular lymphoma treated in first line with immunochemotherapy

43. Autophagy in Hematological Malignancies

44. A pleiotropic variant in DNAJB4 is associated with multiple myeloma risk

46. P-070: A pleiotropy scan on multiple myeloma survival

48. Type 2 Diabetes-Related Variants Influence the Risk of Developing Prostate Cancer: A Population-Based Case-Control Study and Meta-Analysis

49. Validation and functional characterization of GWAS-identified variants for chronic lymphocytic leukemia: a CRuCIAL study

50. Identification of miRSNPs associated with the risk of multiple myeloma

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