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

2. The influence of the environment and lifestyle on myopia

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

5. Deep learning system to predict the 5-year risk of high myopia using fundus imaging in children

6. Rare variant analyses across multiethnic cohorts identify novel genes for refractive error

7. Time spent outdoors in childhood is associated with reduced risk of myopia as an adult

8. Sleep Patterns and Myopia Among School-Aged Children in Singapore

9. A review on the epidemiology of myopia in school children worldwide

10. Cost of Myopia Correction: A Systematic Review

11. HOXA9 is a novel myopia risk gene

12. Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study

13. Assessment of the Macular Microvasculature in High Myopes With Swept Source Optical Coherence Tomographic Angiography

14. Body mass index trajectories in the first two years and subsequent childhood cardio-metabolic outcomes: a prospective multi-ethnic Asian cohort study

15. Effects of infant weight gain on subsequent allergic outcomes in the first 3 years of life

16. Correction: Genetic variants linked to myopic macular degeneration in persons with high myopia: CREAM Consortium.

17. Genetic variants linked to myopic macular degeneration in persons with high myopia: CREAM Consortium.

18. Abstracts from the 15th International Myopia Conference

19. Meta-analysis of gene–environment-wide association scans accounting for education level identifies additional loci for refractive error

20. Maternal Lutein and Zeaxanthin Concentrations in Relation to Offspring Visual Acuity at 3 Years of Age: The GUSTO Study

21. Pre- and Post-Natal Maternal Depressive Symptoms in Relation with Infant Frontal Function, Connectivity, and Behaviors.

22. Associations of maternal retinal vasculature with subsequent fetal growth and birth size.

23. ABCC5, a gene that influences the anterior chamber depth, is associated with primary angle closure glaucoma.

24. Associations of Maternal Dietary Patterns during Pregnancy with Offspring Adiposity from Birth Until 54 Months of Age

25. Obesity and the microvasculature: a systematic review and meta-analysis.

26. Automatic diagnosis of pathological myopia from heterogeneous biomedical data.

27. Genome-wide association study of retinopathy in individuals without diabetes.

28. Maternal Dietary Patterns and Gestational Diabetes Mellitus in a Multi-Ethnic Asian Cohort: The GUSTO Study

29. Infant Feeding Practices in a Multi-Ethnic Asian Cohort: The GUSTO Study

30. Executive functions of six-year-old boys with normal birth weight and gestational age.

31. Population differences in brain morphology and microstructure among Chinese, Malay, and Indian neonates.

32. Genetic variants on chromosome 1q41 influence ocular axial length and high myopia.

33. Genome-wide meta-analysis of five Asian cohorts identifies PDGFRA as a susceptibility locus for corneal astigmatism.

35. Axial length elongation profiles from 3 to 6 years in an Asian paediatric population: the Growing Up in Singapore Towards Healthy Outcomes birth cohort study (GUSTO).

36. Factors influencing myopia stabilisation in young myopic adult Singaporeans.

38. An evidence-based review of the epidemiology of myopic traction maculopathy

39. Systematic Review and Meta-Analysis on the Impact of COVID-19 Pandemic–Related Lifestyle on Myopia

40. Three-year change in refractive error and its risk factors: results from the Shahroud School Children Eye Cohort Study

41. The Potential of Current Polygenic Risk Scores to Predict High Myopia and Myopic Macular Degeneration in Multiethnic Singapore Adults

42. A new polygenic score for refractive error improves detection of children at risk of high myopia but not the prediction of those at risk of myopic macular degeneration

43. Predictors of myopic macular degeneration in a 12-year longitudinal study of Singapore adults with myopia.

44. Deep Learning Approach for Automated Detection of Myopic Maculopathy and Pathologic Myopia in Fundus Images

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

48. Near work, screen time, outdoor time and myopia in schoolchildren in the Sunflower Myopia AEEC Consortium

49. Visual field defects and myopic macular degeneration in Singapore adults with high myopia

50. Time spent outdoors in childhood is associated with reduced risk of myopia as an adult

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