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1. Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

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

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

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

5. Author Correction: Identification of genetic effects underlying type 2 diabetes in South Asian and European populations

6. The iHealth-T2D study: a cluster randomised trial for the prevention of type 2 diabetes amongst South Asians with central obesity and prediabetes—a statistical analysis plan

7. Identification of genetic effects underlying type 2 diabetes in South Asian and European populations

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

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

10. Improving psychological well‐being among healthcare workers during the COVID‐19 pandemic with an online mindfulness intervention: A randomised waitlist‐controlled trial.

11. The iHealth-T2D study, prevention of type 2 diabetes amongst South Asians with central obesity and prediabetes: study protocol for a randomised controlled trial

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

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

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

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

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

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

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

19. Reference equations for evaluation of spirometry function tests in South Asia, and among South Asians living in other countries

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

21. Additional file 1 of The iHealth-T2D study: a cluster randomised trial for the prevention of type 2 diabetes amongst South Asians with central obesity and prediabetes—a statistical analysis plan

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

23. The trans-ancestral genomic architecture of glycemic traits

24. SMIM1absence is associated with reduced energy expenditure and excess weight

29. The iHealth-T2D study: Statistical analysis plan for a cluster randomised controlled trial with intensive family-based lifestyle modification programme to reduce type 2 diabetes risk amongst South Asians

30. The iHealth-T2D study: rationale and design of a cluster randomised trial for prevention of Type 2 Diabetes amongst South Asians with central obesity and prediabetes

31. Data Resource Profile: Understanding the patterns and determinants of health in South Asians - South Asia Biobank

32. The Trans-Ancestral Genomic Architecture of Glycaemic Traits

34. Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids

36. A multi-ancestry genome-wide study incorporating gene-smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure

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

38. Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids

40. Air pollution and health in Sri Lanka: a review of epidemiologic studies

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

42. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure

43. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure

44. Characterising private and shared signatures of positive selection in 37 Asian populations

45. Characterising private and shared signatures of positive selection in 37 Asian populations

46. Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation

49. Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

50. Systematic Fine-Mapping of Association with BMI and Type 2 Diabetes at the FTO Locus by Integrating Results from Multiple Ethnic Groups

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