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1. Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits

2. Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

3. The All of Us Research Program is an opportunity to enhance the diversity of US biomedical research

4. Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality

5. The All of Us Research Program: Data quality, utility, and diversity

6. Antibodies to SARS-CoV-2 in All of Us Research Program Participants, January 2-March 18, 2020

7. Author Correction: Genetic variation in the human leukocyte antigen region confers susceptibility to Clostridioides difficile infection

8. Genetic variation in the human leukocyte antigen region confers susceptibility to Clostridioides difficile infection

10. Ontologizing health systems data at scale: making translational discovery a reality

11. Author Correction: Genetic regulation of serum IgA levels and susceptibility to common immune, infectious, kidney, and cardio-metabolic traits

12. Antibodies to SARS-CoV-2 in All of Us Research Program Participants, January 2-March 18, 2020.

15. Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis

16. Genome‐Wide Association and Functional Studies Reveal Novel Pharmacological Mechanisms for Allopurinol

17. The All of Us Research Program: Data quality, utility, and diversity

18. Racial and Ethnic Disparities in Antihypertensive Medication Prescribing Patterns and Effectiveness.

21. LPA Variants are Associated with Residual Cardiovascular Risk in Patients Receiving Statins

22. Multi-ethnic genome-wide association study for atrial fibrillation

24. Large-scale genomic analyses reveal insights into pleiotropy across circulatory system diseases and nervous system disorders

25. Genetic regulation of serum IgA levels and susceptibility to common immune, infectious, kidney, and cardio-metabolic traits

27. Phenotyping using Structured Collective Matrix Factorization of Multi--source EHR Data

29. Erratum to: A multi-stage genome-wide association study of uterine fibroids in African Americans

30. A multi-stage genome-wide association study of uterine fibroids in African Americans

31. Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations.

32. Genetic Interactions with Age, Sex, Body Mass Index, and Hypertension in Relation to Atrial Fibrillation: The AFGen Consortium

34. Phenome-wide association analysis suggests the APOL1 linked disease spectrum primarily drives kidney-specific pathways

36. Meta-analysis of genome-wide association studies of HDL cholesterol response to statins

37. Large-Scale Exome-wide Association Analysis Identifies Loci for White Blood Cell Traits and Pleiotropy with Immune-Mediated Diseases

38. Identifying genetically driven clinical phenotypes using linear mixed models.

40. Association of Genetic Risk of Obesity with Postoperative Complications Using Mendelian Randomization

41. Medical records-based chronic kidney disease phenotype for clinical care and “big data” observational and genetic studies

42. Association between triglycerides, known risk SNVs and conserved rare variation in SLC25A40 in a multi-ancestry cohort

43. Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network

45. Facilitating phenotype transfer using a common data model

46. Inactivating Mutations in NPC1L1 and Protection from Coronary Heart Disease

47. Pharmacogenetic meta-analysis of genome-wide association studies of LDL cholesterol response to statins.

49. Systematic replication of smoking disease associations using survey responses and EHR data in the All of Us Research Program

50. Multisite Investigation of Outcomes With Implementation of CYP2C19 Genotype-Guided Antiplatelet Therapy After Percutaneous Coronary Intervention

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