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2. Pleiotropy-guided transcriptome imputation from normal and tumor tissues identifies candidate susceptibility genes for breast and ovarian cancer.

3. Genetic Data from Nearly 63,000 Women of European Descent Predicts DNA Methylation Biomarkers and Epithelial Ovarian Cancer Risk

4. The Diversity of Methylation Patterns in Serous Borderline Ovarian Tumors and Serous Ovarian Carcinomas.

5. An Analysis of Genetic Polymorphisms in 76 Genes Related to the Development of Ovarian Tumors of Different Aggressiveness.

7. The Clinical Significance of CRNDE Gene Methylation, Polymorphisms, and CRNDEP Micropeptide Expression in Ovarian Tumors.

8. Association of vitamin D levels and risk of ovarian cancer: a Mendelian randomization study.

9. Assessing the genetic architecture of epithelial ovarian cancer histological subtypes

10. Genome-wide association study of subtype-specific epithelial ovarian cancer risk alleles using pooled DNA.

11. Risk of ovarian cancer and the NF-κB pathway: genetic association with IL1A and TNFSF10.

13. Data from Risk of Ovarian Cancer and the NF-κB Pathway: Genetic Association with IL1A and TNFSF10

14. Supplementary Tables 1 - 5 from Risk of Ovarian Cancer and the NF-κB Pathway: Genetic Association with IL1A and TNFSF10

16. Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer

18. PROM1, CXCL8, RUNX1, NAV1 and TP73 genes as independent markers predictive of prognosis or response to treatment in two cohorts of high-grade serous ovarian cancer patients

20. Cryptic MYC insertions in Burkitt lymphoma: New data and a review of the literature

21. Genome-wide association study of subtype-specific epithelial ovarian cancer risk alleles using pooled DNA

22. A Set of 17 microRNAs Common for Brain and Cerebrospinal Fluid Differentiates Primary Central Nervous System Lymphoma from Non-Malignant Brain Tumors

23. Shared genetics underlying epidemiological association between endometriosis and ovarian cancer

24. Pleiotropy-guided transcriptome imputation from normal and tumor tissues identifies candidate susceptibility genes for breast and ovarian cancer

25. Pleiotropy-guided transcriptome imputation from normal and tumor tissues identifies candidate susceptibility genes for breast and ovarian cancer

26. Cross-cancer genome-wide association study of endometrial cancer and epithelial ovarian cancer identifies genetic risk regions associated with risk of both cancers.

27. Pleiotropy-guided transcriptome imputation from normal and tumor tissues identifies new candidate susceptibility genes for breast and ovarian cancer

30. Nuclear survivin expression is a positive prognostic factor in taxane-platinum-treated ovarian cancer patients

31. Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer

32. Clinical importance of the EMSY gene expression and polymorphisms in ovarian cancer

33. Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer

35. Association of vitamin D levels and risk of ovarian cancer:a Mendelian randomization study

36. The significance of c.690G>T polymorphism (rs34529039) and expression of the CEBPA gene in ovarian cancer outcome

37. Clinical importance of FANCD2, BRIP1, BRCA1, BRCA2and FANCFexpression in ovarian carcinomas

38. The putative oncogene, CRNDE, is a negative prognostic factor in ovarian cancer patients

39. The Novel Gene CRNDE Encodes a Nuclear Peptide (CRNDEP) Which Is Overexpressed in Highly Proliferating Tissues

43. Genome-wide association study of subtype-specific epithelial ovarian cancer risk alleles using pooled DNA

44. Pleiotropy-guided transcriptome imputation from normal and tumor tissues identifies candidate susceptibility genes for breast and ovarian cancer

45. Cross-Cancer Genome-Wide Association Study of Endometrial Cancer and Epithelial Ovarian Cancer Identifies Genetic Risk Regions Associated with Risk of Both Cancers.

46. Risk of ovarian cancer and the NF-κB pathway: genetic association with IL1A and TNFSF10.

47. p19(INK4d) mRNA and protein expression as new prognostic factors in ovarian cancer patients.

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