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1. Cluster effect for SNP–SNP interaction pairs for predicting complex traits

2. Identification of rare genetic variants for rotator cuff tearing and repair in high-risk pedigrees

3. Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysisResearch in context

4. KLK3 SNP–SNP interactions for prediction of prostate cancer aggressiveness

5. Polygenic hazard score is associated with prostate cancer in multi-ethnic populations

6. A whole-exome case-control association study to characterize the contribution of rare coding variation to pancreatic cancer risk

7. Publisher Correction: Shared heritability and functional enrichment across six solid cancers

8. The contribution of the rs55705857 G allele to familial cancer risk as estimated in the Utah population database

9. Shared heritability and functional enrichment across six solid cancers

10. Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants

11. Atlas of prostate cancer heritability in European and African-American men pinpoints tissue-specific regulation

12. Parapneumonic Empyema Deaths during Past Century, Utah

13. Fine-mapping the HOXB region detects common variants tagging a rare coding allele: evidence for synthetic association in prostate cancer.

14. At-Risk Populations for Osteosarcoma: The Syndromes and Beyond

15. 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

16. 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

17. 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

18. Supplementary Tables 2 - 5, Figures 2 - 3 from A Large-Scale Analysis of Genetic Variants within Putative miRNA Binding Sites in Prostate Cancer

19. Supplementary Table 1 from A Large-Scale Analysis of Genetic Variants within Putative miRNA Binding Sites in Prostate Cancer

20. Supplementary Figure 1 from A Large-Scale Analysis of Genetic Variants within Putative miRNA Binding Sites in Prostate Cancer

21. Supplemental Figure Legend from Discordant Haplotype Sequencing Identifies Functional Variants at the 2q33 Breast Cancer Risk Locus

22. Supplementary Figure 3 from Risk Analysis of Prostate Cancer in PRACTICAL, a Multinational Consortium, Using 25 Known Prostate Cancer Susceptibility Loci

23. Supplementary notes from Genome-Wide Association Study of Prostate Cancer–Specific Survival

24. Supplemental Figure from Discordant Haplotype Sequencing Identifies Functional Variants at the 2q33 Breast Cancer Risk Locus

25. Supplementary Notes from Risk Analysis of Prostate Cancer in PRACTICAL, a Multinational Consortium, Using 25 Known Prostate Cancer Susceptibility Loci

26. Supplemental Methods and Supplemental Table from Discordant Haplotype Sequencing Identifies Functional Variants at the 2q33 Breast Cancer Risk Locus

27. Supplementary Figure 1 from Risk Analysis of Prostate Cancer in PRACTICAL, a Multinational Consortium, Using 25 Known Prostate Cancer Susceptibility Loci

28. Data from Risk Analysis of Prostate Cancer in PRACTICAL, a Multinational Consortium, Using 25 Known Prostate Cancer Susceptibility Loci

29. Data from Discordant Haplotype Sequencing Identifies Functional Variants at the 2q33 Breast Cancer Risk Locus

30. Supplementary Tables 1-8 from Risk Analysis of Prostate Cancer in PRACTICAL, a Multinational Consortium, Using 25 Known Prostate Cancer Susceptibility Loci

31. Data from Genome-Wide Association Study of Prostate Cancer–Specific Survival

33. Polygenic hazard score is associated with prostate cancer in multi-ethnic populations

34. Gene and pathway level analyses of germline DNA-repair gene variants and prostate cancer susceptibility using the iCOGS-genotyping array

35. Prediction of Individual Genetic Risk to Prostate Cancer Using a Polygenic Score

36. Haplotype and Phenotype Analysis of Nine Recurrent BRCA2 Mutations in 111 Families: Results of an International Study

37. A population-based analysis of clustering identifies a strong genetic contribution to lethal prostate cancer

39. Enabling GeneHunter as a grid service: a case study for implementing analytical services for biomedical grids

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