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

2. Genetic variation in the HLA region is associated with susceptibility to herpes zoster

3. Characterization of Statin Dose Response in Electronic Medical Records

4. Defining the role of common variation in the genomic and biological architecture of adult human height

5. A Polygenic and Phenotypic Risk Prediction for Polycystic Ovary Syndrome Evaluated by Phenome-Wide Association Studies

6. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity (vol 50, pg 26, 2018)

7. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity (vol 50, pg 765, 2017)

8. Atrial fibrillation genetic risk differentiates cardioembolic stroke from other stroke subtypes

9. PR interval genome-wide association meta-analysis identifies 50 loci associated with atrial and atrioventricular electrical activity

10. Biological interpretation of genome-wide association studies using predicted gene functions

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

12. PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study

13. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

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

15. Genetic variation among 82 pharmacogenes: The PGRNseq data from the eMERGE network

18. Biological interpretation of genome-wide association studies using predicted gene functions

19. Defining the role of common variation in the genomic and biological architecture of adult human height.

20. Integration of sequence data from a consanguineous family with genetic data from an outbred population identifies PLB1 as a candidate rheumatoid arthritis risk gene

21. Characterization of statin dose response in electronic medical records.

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

23. Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization

25. Clinically Actionable Genotypes Among 10,000 Patients With Preemptive Pharmacogenomic Testing.

26. Applying semantic-based probabilistic context-free grammar to medical language processing--a preliminary study on parsing medication sentences.

28. Tracking medical students' clinical experiences using natural language processing.

29. 'Understanding' medical school curriculum content using KnowledgeMap.

30. Portability of an algorithm to identify rheumatoid arthritis in electronic health records.

31. PheWAS analysis on large-scale biobank data with PheTK.

32. A One-Shot Lossless Algorithm for Cross-Cohort Learning in Mixed-Outcomes Analysis.

33. Informatics innovation to provide return of value to participant communities in the All of Us Research Program.

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

35. Hyponatremia Associated with the Use of Common Antidepressants in the All of Us Research Program.

36. Integrated clinical risk prediction of type 2 diabetes with a multifactorial polygenic risk score.

37. Phenome-Wide Association of APOE Alleles in the All of Us Research Program.

39. Replicating the Association of Variants in BSN and APBA1 with Obesity in Diverse Populations.

40. Frequency of pharmacogenomic variation and medication exposures among All of Us Participants.

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

42. Overcome the Limitation of Phenome-Wide Association Studies (PheWAS): Extension of PheWAS to Efficient and Robust Large-Scale ICD Codes Analysis.

43. Comparison of phenomic profiles in the All of Us Research Program against the US general population and the UK Biobank.

44. Genetic drivers of heterogeneity in type 2 diabetes pathophysiology.

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

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

47. Data-driven science and diversity in the All of Us Research Program.

48. A test of automated use of electronic health records to aid in diagnosis of genetic disease.

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

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