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. 2013;9(2):e1003299.
doi: 10.1371/journal.pgen.1003299. Epub 2013 Feb 28.

Genome-wide analysis points to roles for extracellular matrix remodeling, the visual cycle, and neuronal development in myopia

Affiliations

Genome-wide analysis points to roles for extracellular matrix remodeling, the visual cycle, and neuronal development in myopia

Amy K Kiefer et al. PLoS Genet. 2013.

Abstract

Myopia, or nearsightedness, is the most common eye disorder, resulting primarily from excess elongation of the eye. The etiology of myopia, although known to be complex, is poorly understood. Here we report the largest ever genome-wide association study (45,771 participants) on myopia in Europeans. We performed a survival analysis on age of myopia onset and identified 22 significant associations ([Formula: see text]), two of which are replications of earlier associations with refractive error. Ten of the 20 novel associations identified replicate in a separate cohort of 8,323 participants who reported if they had developed myopia before age 10. These 22 associations in total explain 2.9% of the variance in myopia age of onset and point toward a number of different mechanisms behind the development of myopia. One association is in the gene PRSS56, which has previously been linked to abnormally small eyes; one is in a gene that forms part of the extracellular matrix (LAMA2); two are in or near genes involved in the regeneration of 11-cis-retinal (RGR and RDH5); two are near genes known to be involved in the growth and guidance of retinal ganglion cells (ZIC2, SFRP1); and five are in or near genes involved in neuronal signaling or development. These novel findings point toward multiple genetic factors involved in the development of myopia and suggest that complex interactions between extracellular matrix remodeling, neuronal development, and visual signals from the retina may underlie the development of myopia in humans.

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Conflict of interest statement

The authors are or have been employed by 23andMe and own stock options in the company.

Figures

Figure 1
Figure 1. Negative -values genome wide for myopia.
Regions are named with their postulated candidate gene or genes. formula image-values under formula image have been cut off (only the LAMA2 and LRRC4C regions are affected). See Figure S1 for plots in each region with a significant association.
Figure 2
Figure 2. Estimated survival curves by genetic propensity score.
The genetic propensity score is computed as the number of risk alleles across the 22 genome-wide significant SNPs. Curves show estimated survival probability (i.e., the probability of not having developed myopia) by age under the fitted Cox model for the 10th, 50th, and 90th percentiles of scores (15.01, 18.46, and 21.95, respectively).

References

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