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1. A methylation risk score for chronic kidney disease: a HyperGEN study

2. Multi-ancestry epigenome-wide analyses identify methylated sites associated with aortic augmentation index in TOPMed MESA

3. Epigenome-wide association study of mitochondrial genome copy number.

4. Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging

5. Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes

6. A meta-analysis of genome-wide association studies of multiple myeloma among men and women of African ancestry

7. Correction: Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes

8. Novel Common Genetic Susceptibility Loci for Colorectal Cancer

9. Two Novel Susceptibility Loci for Prostate Cancer in Men of African Ancestry

10. A Meta-analysis of Multiple Myeloma Risk Regions in African and European Ancestry Populations Identifies Putatively Functional Loci

11. Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program

12. Assessment of Multifactor Gene–Environment Interactions and Ovarian Cancer Risk: Candidate Genes, Obesity, and Hormone-Related Risk Factors

13. Investigation of Exomic Variants Associated with Overall Survival in Ovarian Cancer

14. Common variants at 19p13 are associated with susceptibility to ovarian cancer (vol 42, pg 880, 2010)

15. Corrigendum: Common variants at 19p13 are associated with susceptibility to ovarian cancer.

16. Corrigendum: genome-wide association study of colorectal cancer identifies six new susceptibility loci.

17. Erratum: Corrigendum: Genome-wide association study of colorectal cancer identifies six new susceptibility loci

18. Genome-wide association study of colorectal cancer identifies six new susceptibility loci.

19. Genome-wide interaction studies reveal sex-specific asthma risk alleles

20. The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma

21. Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

22. Molecular Characterization and Clinical Relevance of Metabolic Expression Subtypes in Human Cancers

23. Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

24. Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

25. Integrated Genomic Analysis of the Ubiquitin Pathway across Cancer Types

26. Machine Learning Detects Pan-cancer Ras Pathway Activation in The Cancer Genome Atlas

27. Systematic Analysis of Splice-Site-Creating Mutations in Cancer

28. Driver Fusions and Their Implications in the Development and Treatment of Human Cancers

29. Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas

30. Somatic Mutational Landscape of Splicing Factor Genes and Their Functional Consequences across 33 Cancer Types

31. Discovery of common and rare genetic risk variants for colorectal cancer

32. Meta-analysis of genome-wide association studies of asthma in ethnically diverse North American populations.

33. Common variants at 19p13 are associated with susceptibility to ovarian cancer.

34. Association between invasive ovarian cancer susceptibility and 11 best candidate SNPs from breast cancer genome-wide association study

35. Table S6 from Integrative Molecular Characterization of Malignant Pleural Mesothelioma

36. Data from Integrative Molecular Characterization of Malignant Pleural Mesothelioma

37. Supplementary Data from Integrative Molecular Characterization of Malignant Pleural Mesothelioma

38. Figure S6A from Investigation of Exomic Variants Associated with Overall Survival in Ovarian Cancer

39. Supplementary Methods and Tables from The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers

40. Supplemental Figure Legends from Investigation of Exomic Variants Associated with Overall Survival in Ovarian Cancer

41. Supplemental Tables from Investigation of Exomic Variants Associated with Overall Survival in Ovarian Cancer

42. Supplemental Figure 1 from Assessment of Multifactor Gene–Environment Interactions and Ovarian Cancer Risk: Candidate Genes, Obesity, and Hormone-Related Risk Factors

43. Data from Investigation of Exomic Variants Associated with Overall Survival in Ovarian Cancer

45. Supplemental Tables 1 - 7 from Assessment of Multifactor Gene–Environment Interactions and Ovarian Cancer Risk: Candidate Genes, Obesity, and Hormone-Related Risk Factors

46. Data from Assessment of Multifactor Gene–Environment Interactions and Ovarian Cancer Risk: Candidate Genes, Obesity, and Hormone-Related Risk Factors

47. Correction: Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes

48. A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns

49. Combined burden and functional impact tests for cancer driver discovery using DriverPower

50. Integrative pathway enrichment analysis of multivariate omics data

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