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

2. Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants

3. Prostate cancer risk stratification improvement across multiple ancestries with new polygenic hazard score

4. Additive Manufacturing: A Case Study of Introducing Additive Manufacturing of Spare Parts

5. Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis

6. Additional SNPs improve risk stratification of a polygenic hazard score for prostate cancer.

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

8. The effect of sample size on polygenic hazard models for prostate cancer

11. A Genetic Risk Score to Personalize Prostate Cancer Screening, Applied to Population Data

12. Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers.

14. Author Correction: Germline variation at 8q24 and prostate cancer risk in men of European ancestry.

16. Polygenic hazard score to guide screening for aggressive prostate cancer: development and validation in large scale cohorts.

17. Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis

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

20. REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants.

21. Identification and Validation of Leucine-rich α-2-glycoprotein 1 as a Noninvasive Biomarker for Improved Precision in Prostate Cancer Risk Stratification

22. Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction

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

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

25. Integration of multiethnic fine-mapping and genomic annotation to prioritize candidate functional SNPs at prostate cancer susceptibility regions

26. Identification of 22 susceptibility loci associated with testicular germ cell tumors

27. Stockholm3 validation in a multi-ethnic cohort for prostate cancer (SEPTA) detection: A multicentered, prospective trial.

28. Evaluating approaches for constructing polygenic risk scores for prostate cancer in men of African and European ancestry

30. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

31. Hundreds of variants clustered in genomic loci and biological pathways affect human height

33. Data from A Large-Scale Analysis of Genetic Variants within Putative miRNA Binding Sites in Prostate Cancer

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

35. 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

36. 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

37. Data from Blood Biomarker Levels to Aid Discovery of Cancer-Related Single-Nucleotide Polymorphisms: Kallikreins and Prostate Cancer

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

39. Supplementary Tables 1-6 from Blood Biomarker Levels to Aid Discovery of Cancer-Related Single-Nucleotide Polymorphisms: Kallikreins and Prostate Cancer

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

43. 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

44. Supplementary Data from Family History of Prostate and Breast Cancer Integrated with a Polygenic Risk Score Identifies Men at Highest Risk of Dying from Prostate Cancer before Age 75 Years

45. Evaluating Approaches for Constructing Polygenic Risk Scores for Prostate Cancer in Men of African and European Ancestry

46. Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci

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

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

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

50. Supplementary Table 3 from Refining the Prostate Cancer Genetic Association within the JAZF1 Gene on Chromosome 7p15.2

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