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

2. Is Kidney Function Associated with Age-Related Macular Degeneration?: Findings from the Asian Eye Epidemiology Consortium

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

5. Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults

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

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

10. 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

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

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

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

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

15. Detecting visually significant cataract using retinal photograph-based deep learning

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

17. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants

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

19. Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development study

22. Cardiovascular disease and thinning of retinal nerve fiber layer in a multi-ethnic Asian population: the Singapore epidemiology of eye diseases study

23. Author Correction: Detecting visually significant cataract using retinal photograph-based deep learning

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

28. Diminishing benefits of urban living for children and adolescents’ growth and development

29. PATTERN AND CHARACTERISTICS OF DRUSEN SUBTYPES IN CHINESE AND INDIAN POPULATIONS IN SINGAPORE

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

36. Retinal Nerve Fiber Layer Thickness and Rim Area Profiles in Asians

37. Global Prevalence of Diabetic Retinopathy and Projection of Burden through 2045

39. Six-year incidence of age-related macular degeneration and correlation to OCT-derived drusen volume measurements in a Chinese population

41. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight NCD Risk Factor Collaboration (NCD-RisC)

42. Deep learning algorithms for automatic detection of pterygium using anterior segment photographs from slit-lamp and hand-held cameras

43. Corrigendum to: Cohort profile: The Singapore Epidemiology of Eye Diseases Study (SEED)

44. Six-year incidence of age-related macular degeneration and correlation to OCT-derived drusen volume measurements in a Chinese population

45. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants

47. Association of Antihypertensive Medication with Retinal Nerve Fiber Layer and Ganglion Cell-Inner Plexiform Layer Thickness

48. Association between body mass index and diabetic retinopathy in Asians: the Asian Eye Epidemiology Consortium (AEEC) study

49. Cohort Profile: The Singapore Epidemiology of Eye Diseases study (SEED)

50. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017

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