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6. Identification of biomarkers for glycaemic deterioration in type 2 diabetes

9. Genome-Wide Meta-analysis Identifies Genetic Variants Associated With Glycemic Response to Sulfonylureas

10. A saturated map of common genetic variants associated with human height

12. A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids

15. Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

17. The power of genetic diversity in genome-wide association studies of lipids

18. Apolipoprotein-CIII O-Glycosylation Is Associated with Micro- and Macrovascular Complications of Type 2 Diabetes

19. Multi-omics subgroups associated with glycaemic deterioration in type 2 diabetes: an IMI-RHAPSODY Study

20. Replication and cross-validation of type 2 diabetes subtypes based on clinical variables: an IMI-RHAPSODY study

22. An omics-based machine learning approach to predict diabetes progression: a RHAPSODY study

27. Integration of epidemiologic, pharmacologic, genetic and gut microbiome data in a drug–metabolite atlas

28. Multi-omics subgroups associated with glycaemic deterioration in type 2 diabetes: an IMI-RHAPSODY Study.

29. Perinatal exposure to the immune-suppressant di-n-octyltin dichloride affects brain development in rats.

30. Perinatal exposure to the immune-suppressant di-n-octyltin dichloride affects brain development in rats

31. Whole blood co-expression modules associate with metabolic traits and type 2 diabetes: an IMI-DIRECT study

32. IgG N‐glycans are associated with prevalent and incident complications of type 2 diabetes

34. Potential Value of Identifying Type 2 Diabetes Subgroups for Guiding Intensive Treatment: A Comparison of Novel Data-Driven Clustering With Risk-Driven Subgroups

35. Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits

36. IgG N-glycans are associated with prevalent and incident complications of type 2 diabetes

37. Additional file 26 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

38. Additional file 34 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

39. Additional file 16 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

40. Author Correction : The power of genetic diversity in genome-wide association studies of lipids

41. Additional file 6 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

42. Additional file 9 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

44. Novel subgroups of type 2 diabetes based on multi-Omics profiling: an IMI-RHAPSODY Study

47. Genome-Wide Meta-analysis Identifies Genetic Variants Associated With Glycemic Response to Sulfonylureas. Diabetes Care 2021;44:2673–2682

48. Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

49. IgG N-glycans are associated with prevalent and incident complications of type 2 diabetes

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