Prevalence, Incidence and Progression of Myopia in Singaporean Adolescents

The Singapore Cohort Study of the Risk Factors for myopia (SCORM) is a longitudinal school-based study that recruited 1979 children, aged 7 to 9 years old between 1999 and 2001, who were re-examined as adolescents in 2006 and 2007. This current study is to determine the prevalence, incidence and progression of myopia among Singapore teenagers and describe any trend in the SCORM study.

At each visit, participants underwent comprehensive eye examinations that included cycloplegic autorefraction and ocular biometry measurements. The prevalence of myopia (SE<-0.5D) and high myopia (SE<-6.0D) among Singapore teenagers aged 11-18 years old was 69.1% [95% confidence interval (CI) 66.5-71.7] and 7.1% (95% CI 5.8-8.7), respectively, with the highest prevalence in people of Chinese ethnicity (p<0.001). The annual incidence was 13.7% (95% CI 9.8-17.6). Males had twice the incidence of females (p=0.043), and adolescents with longer axial lengths (p<0.001) and deeper vitreous chamber (p<0.001) had higher myopia incidence. Annual myopia progression was -0.32 Diopters (D) (SD=0.40), with no difference by age, race or gender. However, adolescents with higher myopia levels at 2006 had significantly faster myopia progression rates (p<0.001).

Myopia prevalence in Singapore teenagers, especially Singapore Chinese teenagers, is one of the highest in the world. In adolescents, there is still a high rate of new onset and rapid progression of myopia. These findings indicate that adolescence may still represent a viable period for intervention programs to mitigate myopia onset and progression.

Comparative analyses of seven algorithms for copy number variant identification from single nucleotide polymorphism arrays.

Determination of copy number variants (CNVs) inferred in genome wide single nucleotide polymorphism arrays has shown increasing utility in genetic variant disease associations. Several CNV detection methods are available, but differences in CNV call thresholds and characteristics exist. We evaluated the relative performance of seven methods: circular binary segmentation, CNVFinder, cnvPartition, gain and loss of DNA, Nexus algorithms, PennCNV and QuantiSNP. Tested data included real and simulated Illumina HumHap 550 data from the Singapore cohort study of the risk factors for Myopia (SCORM) and simulated data from Affymetrix 6.0 and platform-independent distributions. The normalized singleton ratio (NSR) is proposed as a metric for parameter optimization before enacting full analysis. We used 10 SCORM samples for optimizing parameter settings for each method and then evaluated method performance at optimal parameters using 100 SCORM samples. The statistical power, false positive rates, and receiver operating characteristic (ROC) curve residuals were evaluated by simulation studies. Optimal parameters, as determined by NSR and ROC curve residuals, were consistent across datasets. QuantiSNP outperformed other methods based on ROC curve residuals over most datasets. Nexus Rank and SNPRank have low specificity and high power. Nexus Rank calls oversized CNVs. PennCNV detects one of the fewest numbers of CNVs.