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584 results on '"Eccles, Diana"'

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1. Integrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions

2. The psychosocial impact of prostate cancer screening for BRCA1 and BRCA2 carriers

3. A Likelihood Ratio Approach for Utilizing Case-Control Data in the Clinical Classification of Rare Sequence Variants : Application to BRCA1 and BRCA2

4. A Likelihood Ratio Approach for Utilizing Case-Control Data in the Clinical Classification of Rare Sequence Variants : Application to BRCA1 and BRCA2

5. A Likelihood Ratio Approach for Utilizing Case-Control Data in the Clinical Classification of Rare Sequence Variants : Application to BRCA1 and BRCA2

6. A Likelihood Ratio Approach for Utilizing Case-Control Data in the Clinical Classification of Rare Sequence Variants : Application to BRCA1 and BRCA2

7. A Likelihood Ratio Approach for Utilizing Case-Control Data in the Clinical Classification of Rare Sequence Variants: Application to BRCA1 and BRCA2

8. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry

9. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry

10. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry

11. Clinical parameters affecting survival outcomes in patients with low-grade serous ovarian carcinoma: an international multicentre analysis.

12. Association of the CHEK2 c.1100delC variant, radiotherapy, and systemic treatment with contralateral breast cancer risk and breast cancer-specific survival.

13. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry.

14. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry

15. A randomised controlled trial of a digital intervention (renewed) to support symptom management, wellbeing and quality of life in cancer survivors

16. UK recommendations for SDHA germline genetic testing and surveillance in clinical practice

17. UK recommendations for SDHA germline genetic testing and surveillance in clinical practice

18. A Likelihood Ratio Approach for Utilizing Case-Control Data in the Clinical Classification of Rare Sequence Variants : Application to BRCA1 and BRCA2

19. Evaluation of European-based polygenic risk score for breast cancer in Ashkenazi Jewish women in Israel

20. A likelihood ratio approach for utilizing case-control data in the clinical classification of rare sequence variants:Application to BRCA1 and BRCA2

21. Evaluation of European-based polygenic risk score for breast cancer in Ashkenazi Jewish women in Israel

22. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry

23. Associations of a Breast Cancer Polygenic Risk Score With Tumor Characteristics and Survival

24. Associations of a Breast Cancer Polygenic Risk Score With Tumor Characteristics and Survival

25. Evaluation of European-based polygenic risk score for breast cancer in Ashkenazi Jewish women in Israel

26. Common variants in breast cancer risk loci predispose to distinct tumor subtypes.

27. Polygenic risk modeling for prediction of epithelial ovarian cancer risk.

28. Correction: Polygenic risk modeling for prediction of epithelial ovarian cancer risk.

29. Polygenic risk modeling for prediction of epithelial ovarian cancer risk

30. Polygenic risk modeling for prediction of epithelial ovarian cancer risk

31. Polygenic risk modeling for prediction of epithelial ovarian cancer risk

32. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

33. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

34. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

35. Correction: Polygenic risk modeling for prediction of epithelial ovarian cancer risk.

36. Polygenic risk modeling for prediction of epithelial ovarian cancer risk.

37. Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci

38. Polygenic risk modeling for prediction of epithelial ovarian cancer risk

39. Physical activity, sedentary time and breast cancer risk : a Mendelian randomisation study

40. Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci

41. Common variants in breast cancer risk loci predispose to distinct tumor subtypes.

42. Incorporating progesterone receptor expression into the PREDICT breast prognostic model.

43. Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci

44. PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients.

45. Physical activity, sedentary time and breast cancer risk: a Mendelian randomisation study.

46. Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci.

47. Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci

48. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

49. Physical activity, sedentary time and breast cancer risk: a Mendelian randomisation study

50. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

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