Adrienne Tin

Medicine & Life Sciences

1. Genome-Wide Association Study 100%
2. Kidney 93%
3. Glomerular Filtration Rate 75%
4. Atherosclerosis 70%
5. African Americans 65%
6. Kidney Diseases 61%
7. Chronic Renal Insufficiency 58%
8. Serum 46%
9. Uric Acid 42%
10. Meta-Analysis 41%
11. Genetic Loci 36%
12. Genome 34%
13. Genes 34%
14. Chronic Kidney Failure 33%
15. Hypertension 28%
16. Single Nucleotide Polymorphism 24%
17. Magnesium 23%
18. Dementia 23%
19. African Continental Ancestry Group 22%
20. Proteomics 22%
21. Creatinine 22%
22. 6-bromotryptophan 22%
23. Alleles 21%
24. Renal Insufficiency 20%
25. Biomarkers 19%
26. HIV 19%
27. Metabolomics 19%
28. Albuminuria 18%
29. Population 17%
30. Cardiovascular Diseases 17%
31. Albumins 16%
32. Apolipoprotein L1 16%
33. Proteinuria 16%
34. Proteins 15%
35. DNA Methylation 15%
36. 1,5-anhydroglucitol 14%
37. Exome 14%
38. Confidence Intervals 13%
39. Genotype 13%
40. Epigenome 13%
41. Urokinase Plasminogen Activator Receptors 13%
42. Mortality 12%
43. Body Mass Index 12%
44. Urine 12%
45. Proteome 12%
46. Cohort Studies 12%
47. Molecular Epidemiology 11%
48. Random Allocation 11%
49. Blood Pressure 11%