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

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

4. Population-based targeted sequencing of 54 candidate genes identifies PALB2 as a susceptibility gene for high-grade serous ovarian cancer

6. Cancer Informatics for Cancer Centers (CI4CC): Building a Community Focused on Sharing Ideas and Best Practices to Improve Cancer Care and Patient Outcomes.

7. Population based targeted sequencing of 54 candidate genes identifies PALB2 as a susceptibility gene for high grade serous ovarian cancer

8. Prospective, Multi-Institutional, Real-Time Next-Generation Sequencing of Pancreatic Cyst Fluid Reveals Diverse Genomic Alterations That Improve the Clinical Management of Pancreatic Cysts

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

10. Leveraging real-world data to predict cancer cachexia stage, quality of life, and survival in a racially and ethnically diverse multi-institutional cohort of treatment-naïve patients with pancreatic ductal adenocarcinoma.

11. A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk

12. Assessment of moderate coffee consumption and risk of epithelial ovarian cancer: a Mendelian randomization study

13. The Pancreatic Cancer Early Detection (PRECEDE) Study is a Global Effort to Drive Early Detection: Baseline Imaging Findings in High-Risk Individuals

14. Abstract A004: Patterns of lncRNA-regulated gene expression in high-grade serous ovarian carcinomas

15. Genome-wide association study identifies high-impact susceptibility loci for HCC in North America

16. Rare Germline Variants in ATM Predispose to Prostate Cancer: A PRACTICAL Consortium Study

18. Establishing a living biobank of patient-derived organoids of intraductal papillary mucinous neoplasms of the pancreas

19. Inherited variants affecting RNA editing may contribute to ovarian cancer susceptibility: results from a large-scale collaboration

22. Pancreatic Ductal Adenocarcinoma (PDAC): A Review of Recent Advancements Enabled by Artificial Intelligence.

25. Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

26. Exome genotyping arrays to identify rare and low frequency variants associated with epithelial ovarian cancer risk

27. A targeted genetic association study of epithelial ovarian cancer susceptibility

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

32. Association of Age With Treatment-Related Adverse Events and Survival in Patients With Metastatic Colorectal Cancer

34. Abstract B032: KRAS copy number variation and mutant allele fractions predict in vitro response of PDX-derived human pancreatic cancer cell lines to KRASG12D inhibitor MRTX1133

35. Pancreatic Cyst Size Measurement on Magnetic Resonance Imaging Compared to Pathology.

37. Abstract 6065: Patterns of dysregulated coding and noncoding gene expression in high-grade serous ovarian carcinomas

38. Supplementary Methods, Figures S1 - S3 from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

39. Supplementary Tables S1 - S10 from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

40. Supplementary Acknowledgments from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

41. Data from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

42. Supplementary Grant Support from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

43. Supplementary Table 1 from Cross-Cancer Genome-Wide Analysis of Lung, Ovary, Breast, Prostate, and Colorectal Cancer Reveals Novel Pleiotropic Associations

44. Table S1 from A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk

45. Online Supplementary Materials from A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk

46. Data from Cross-Cancer Genome-Wide Analysis of Lung, Ovary, Breast, Prostate, and Colorectal Cancer Reveals Novel Pleiotropic Associations

47. Supplementary Table 2 and Supplemental Figures from Cross-Cancer Genome-Wide Analysis of Lung, Ovary, Breast, Prostate, and Colorectal Cancer Reveals Novel Pleiotropic Associations

48. Supplemental Methods from Integration of Population-Level Genotype Data with Functional Annotation Reveals Over-Representation of Long Noncoding RNAs at Ovarian Cancer Susceptibility Loci

49. Data from Integration of Population-Level Genotype Data with Functional Annotation Reveals Over-Representation of Long Noncoding RNAs at Ovarian Cancer Susceptibility Loci

50. Supplementary Material: Funding, Acknowledgements, Consortia, and Bioinformatics Tools Funding sources from Cross-Cancer Genome-Wide Analysis of Lung, Ovary, Breast, Prostate, and Colorectal Cancer Reveals Novel Pleiotropic Associations

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