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

2. X-chromosome and kidney function: evidence from a multi-trait genetic analysis of 908,697 individuals reveals sex-specific and sex-differential findings in genes regulated by androgen response elements.

3. Author Correction: Trans-ancestral genome-wide association study of longitudinal pubertal height growth and shared heritability with adult health outcomes

4. Trans-ancestral genome-wide association study of longitudinal pubertal height growth and shared heritability with adult health outcomes

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

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

7. Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

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

9. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci.

10. Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline

11. Multi-ancestry genome-wide association study accounting for gene-psychosocial factor interactions identifies novel loci for blood pressure traits

12. The Singapore National Precision Medicine Strategy

13. Identification of type 2 diabetes loci in 433,540 East Asian individuals

14. A five-safes approach to a secure and scalable genomics data repository

15. Associations of autozygosity with a broad range of human phenotypes.

16. Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria.

17. Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions

18. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity.

19. Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies

20. Analysis of clinically relevant variants from ancestrally diverse Asian genomes

21. Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals

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

24. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries.

26. Mendelian randomization analysis does not support causal associations of birth weight with hypertension risk and blood pressure in adulthood

27. Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline

28. Genome-Wide Interaction Analysis with DASH Diet Score Identified Novel Loci for Systolic Blood Pressure

29. Trans-ancestral genome-wide association study of longitudinal pubertal height growth and shared heritability with adult health outcomes

30. APOC3 genetic variation, serum triglycerides, and risk of coronary artery disease in Asian Indians, Europeans, and other ethnic groups

31. SMIM1 absence is associated with reduced energy expenditure and excess weight

32. Genome-Wide Interaction Analysis with DASH Diet Score Identified Novel Loci for Systolic Blood Pressure

33. Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci

34. Genome-Wide Interaction Analysis with DASH Diet Score Identified Novel Loci for Systolic Blood Pressure

35. Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci

36. Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications

37. Genomic landscape of drug binding and pharmacogenetic variation across diverse populations using SNPdrug3D

38. Interethnic analyses of blood pressure loci in populations of East Asian and European descent

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

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

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

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

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

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

45. RAPTOR: A Five-Safes approach to a secure, cloud native and serverless genomics data repository

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

47. Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals

48. Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals

49. Analyses of biomarker traits in diverse UK biobank participants identify associations missed by European-centric analysis strategies

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

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