Christina-Alexandra Schulz

Medicin och livsvetenskap

1. Diet 100%
2. Kidney 83%
3. Type 2 Diabetes Mellitus 81%
4. Genetic Predisposition to Disease 80%
5. Chronic Renal Insufficiency 70%
6. Incidence 67%
7. Dyslipidemias 64%
8. Mendelian Randomization Analysis 64%
9. Single Nucleotide Polymorphism 61%
10. Genetic Loci 60%
11. Lipids 55%
12. Triglycerides 52%
13. Exome 50%
14. Meta-Analysis 50%
15. Genome-Wide Association Study 46%
16. Carbohydrates 44%
17. Fasting 43%
18. Fats 43%
19. LDL Cholesterol 42%
20. Glomerular Filtration Rate 42%
21. Random Allocation 41%
22. Birth Weight 40%
23. Neoplasms 38%
24. Genes 38%
25. Genome 38%
26. fibroblast growth factor 21 37%
27. Food 35%
28. proenkephalin 35%
29. Cardiovascular Diseases 34%
30. Melatonin MT2 Receptor 33%
31. Sugar-Sweetened Beverages 31%
32. Cholesterol 29%
33. Urokinase Plasminogen Activator Receptors 29%
34. Population 28%
35. Confidence Intervals 27%
36. Albuminuria 27%
37. Glucose 26%
38. HDL Cholesterol 26%
39. Coenzyme A 26%
40. Catalogs 26%
41. Complement C3 26%
42. Cohort Studies 25%
43. Dietary Fats 25%
44. Body Mass Index 25%
45. Obesity 25%
46. Hypertriglyceridemia 24%
47. Gestational Diabetes 23%
48. Aortic Valve Stenosis 23%
49. Neoplasm Genes 22%
50. Hospitalization 22%