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

2. A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry

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

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

5. Exome sequencing identifies breast cancer susceptibility genes and defines the contribution of coding variants to breast cancer risk

6. PREDICT validity for prognosis of breast cancer patients with pathogenic BRCA1/2 variants

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

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

9. Rare germline copy number variants (CNVs) and breast cancer risk

10. Association of germline genetic variants with breast cancer-specific survival in patient subgroups defined by clinic-pathological variables related to tumor biology and type of systemic treatment

11. Mendelian randomisation study of smoking exposure in relation to breast cancer risk

12. Germline variants and breast cancer survival in patients with distant metastases at primary breast cancer diagnosis.

13. Functional annotation of the 2q35 breast cancer risk locus implicates a structural variant in influencing activity of a long-range enhancer element

14. Breast Cancer Risk Factors and Survival by Tumor Subtype: Pooled Analyses from the Breast Cancer Association ConsortiumBreast Cancer Risk Factors and Survival By Tumor Subtype

15. Combined Associations of a Polygenic Risk Score and Classical Risk Factors With Breast Cancer Risk.

16. CYP3A7*1C allele: linking premenopausal oestrone and progesterone levels with risk of hormone receptor-positive breast cancers

17. Breast Cancer Risk Genes — Association Analysis in More than 113,000 Women

18. Gene-Environment Interactions Relevant to Estrogen and Risk of Breast Cancer: Can Gene-Environment Interactions Be Detected Only among Candidate SNPs from Genome-Wide Association Studies?

19. Breast Cancer Polygenic Risk Score and Contralateral Breast Cancer Risk

20. Germline HOXB13 mutations p.G84E and p.R217C do not confer an increased breast cancer risk.

21. Assessment of interactions between 205 breast cancer susceptibility loci and 13 established risk factors in relation to breast cancer risk, in the Breast Cancer Association Consortium

22. A network analysis to identify mediators of germline-driven differences in breast cancer prognosis.

23. The impact of coding germline variants on contralateral breast cancer risk and survival

24. Author Correction: Exome sequencing identifies breast cancer susceptibility genes and defines the contribution of coding variants to breast cancer risk

25. Genome-wide association study of germline variants and breast cancer-specific mortality.

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

27. Risk factors for breast cancer subtypes by race and ethnicity: A scoping review of the literature

28. Association analysis identifies 65 new breast cancer risk loci

29. A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers

30. Prediction of contralateral breast cancer: external validation of risk calculators in 20 international cohorts

31. Genetic predisposition to in situ and invasive lobular carcinoma of the breast.

32. Exploring the role of low-frequency and rare exonic variants in alcohol and tobacco use

33. Prediction and clinical utility of a contralateral breast cancer risk model

34. A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry.

35. A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry

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

37. The impact of coding germline variants on contralateral breast cancer risk and survival

38. Correction:PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients (Breast Cancer Research, (2022), 24, 1, (69), 10.1186/s13058-022-01567-3)

39. PREDICT validity for prognosis of breast cancer patients with pathogenic BRCA1/2 variants

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

41. Rare germline copy number variants (CNVs) and breast cancer risk

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

43. Exome sequencing identifies novel susceptibility genes and defines the contribution of coding variants to breast cancer risk.

44. Abstract 3670: Systematic literature review of risk factor associations with breast cancer subtypes in women of African, Asian, Hispanic, and European descents

45. Associations of a breast cancer polygenic risk score with tumor characteristics and survival.

46. Pathology of Tumors Associated With Pathogenic Germline Variants in 9 Breast Cancer Susceptibility Genes

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

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

49. Uncovering the Contribution of Moderate-Penetrance Susceptibility Genes to Breast Cancer by Whole-Exome Sequencing and Targeted Enrichment Sequencing of Candidate Genes in Women of European Ancestry

50. Pathology of Tumors Associated With Pathogenic Germline Variants in 9 Breast Cancer Susceptibility Genes

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