November 2018
Volume 59, Issue 13
Open Access
Clinical and Epidemiologic Research  |   November 2018
Possible Causes of Discordance in Refraction in Monozygotic Twins: Nearwork, Time Outdoors and Stochastic Variation
Author Affiliations & Notes
  • Xiaohu Ding
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
  • Yin Hu
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
  • Xinxing Guo
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
    Dana Center of Preventive Ophthalmology, Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland, United States
  • Xiaobo Guo
    Department of Statistics, School of Mathematics & Computational Science, Sun Yat-Sen University, Guangzhou, China
  • Ian Morgan
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
    Research School of Biology, College of Medicine, Biology and Environment, Australia National University, Canberra, Australia
  • Mingguang He
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
    Centre for Eye Research Australia, Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, Australia
  • Correspondence: Mingguang He, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, #54 Xianlie Road, Yuexiu District, Guangzhou, Guangdong 510060, People's Republic of China; mingguang_he@yahoo.com
Investigative Ophthalmology & Visual Science November 2018, Vol.59, 5349-5354. doi:10.1167/iovs.18-24526
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      Xiaohu Ding, Yin Hu, Xinxing Guo, Xiaobo Guo, Ian Morgan, Mingguang He; Possible Causes of Discordance in Refraction in Monozygotic Twins: Nearwork, Time Outdoors and Stochastic Variation. Invest. Ophthalmol. Vis. Sci. 2018;59(13):5349-5354. doi: 10.1167/iovs.18-24526.

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Abstract

Purpose: To evaluate the impact of differences in nearwork and time spent outdoors on difference in refraction in monozygotic (MZ) twins.

Methods: Data on MZ twins aged 7 to 18 years from the Guangzhou Twin Eye Study were used in this analysis. A standard questionnaire was administered by personal interview to estimate time spent on nearwork and time spent outdoors. Spherical equivalent (SE) was measured by autorefraction under cycloplegia. The interaction between age and nearwork or time spent outdoors was also estimated.

Results: A total of 490 MZ twin pairs (233 male and 257 female) were eligible in this analysis, the mean age was 13.14 ± 2.49. In the mixed-effects model, nearwork difference was a risk factor of discordance in myopic SE (β = −0.11 diopter (D)/h, P = 0.009), the overall association between time outdoors difference and SE discordance was not significant (β = −0.89 (D)/h, P = 0.120) although an interaction between time spent outdoors difference and age was detected (β = 0.07 (D)/h, P = 0.002). Furthermore, difference in nearwork and time outdoors explained about 1.8% and 2.5% of the variation in SE discordance, respectively.

Conclusions: Given the very marked genetic similarity of MZ twins, and the small effects of known risk factors on SE discordance, we suggest that the SE discordance across MZ twins largely results from stochastic variations at the genomic or epigenetic levels, or from uncollected environmental factors.

Myopia is one of the most common eye disorders worldwide.1 The prevalence is particularly high in East Asia.25 While simple myopia (myopia less than −6 Diopters [D]) is usually correctable and has a low risk of blinding complications, high myopia (myopia at least −6 D) is associated with increased risk of complications that potentially lead to irreversible visual impairment, such as retinal detachment, myopic macular degeneration, staphyloma, and glaucoma.6 Therefore, myopia is becoming a critically important public health problem worldwide. 
There has been a long debate about the relative roles of variation at the genomic levels and in environmental exposures in the etiology of myopia. The high heritability of refraction observed in twin studies is consistent with the hypothesis that genetic factors play a role,79 although this is not conclusive because the heritability values found in broader family and population-wide studies are considerably lower.1012 The greater risk of developing myopia in children who have myopic parents compared to those with nonmyopic parents is also consistent with a role of genetic factors, although this effect could be interpreted as that myopic parents create more myopigenic environments for their children.13,14 Population-based genome-wide association studies (GWAS) have identified about 150 significant loci for myopia, but altogether they explain less than 8% of the variation15 In parallel, environmental factors also seem to play a significant role. In particular, there is considerable evidence that people with higher educational achievements are more likely to be myopic and highly myopic—an effect which could be, at least in part, due to axial elongation associated with prolonged near work.16 In addition, recent work has shown that the amount of time spent outdoors can be a protective environmental factor.1719 One hypothesis is that this may be due to the inhibition of axial elongation by the increased release of retinal dopamine in response to the greater light exposures experienced outdoors during daylight hours.20,21 Overall, it is now generally accepted that there are a number of relatively rare forms of clearly genetic myopia, but that only impacts of environmental factors can explain the rapid increases in the prevalence of myopia that have taken place in the countries with well-developed education systems in East and Southeast Asia. 
However, previous epidemiological studies were unable to disentangle the influence of variations in genetic background from variations in environmental exposure. The discordance of traits within MZ twin pairs offers a unique opportunity to study environmental effects because the pair-wise genetic background is much more similar than that of randomly compared individuals, even if there is some variation between “identical” twins.22 
In the current investigation, we therefore used an MZ cotwin control methodology, which provides twin-pairs that are matched for genetic background, sex, and age, and matched as possible for genetic background and shared family environment. This matching allows us to examine how much nearwork and time spent outdoors influence the within-pair discordance in spherical equivalent (SE) while largely eliminating confounding genetic effects. We also examined the development of discordance in refraction between the two eyes in one individual, which is conceptually a similar problem to that seen with discordance between MZ twins, namely how do different phenotypic outcomes arise from very similar, if not identical, genotypes. Overall, we have found very limited, albeit significant, evidence for a role for environmental factors in the development of between-pair discordance. 
Methods
Participants
Participants of this study were recruited from the Guangzhou Twin Eye Study, which is population-based study and has been described elsewhere.23,24 Briefly, all twins were identified by the Resident Registry and then verified by both door-to-door visits and mailouts. The demographic characteristics of the identified twins were similar to the general population in Guangzhou as a whole. The study was launched in 2006 and has now completed more than ten consecutive annual follow-up examinations. More than 1200 pairs of eligible twins aged 7 to 15 years were enrolled at baseline. Cycloplegic refraction was performed at baseline and follow-up visits. In the present study, data collected in the visit in 2009 was used for statistical analyses. Those with manifest strabismus, amblyopia, nystagmus, postrefractive surgery, or any ocular disease resulting in best-corrected visual acuity less than 20/25 were excluded. The study was conducted in accordance with the tenets of the Declaration of Helsinki and was approved by the Ethics Review Board of the Zhongshan Ophthalmic Center of Sun Yat-Sen University. Written informed consent was obtained from parents or legal guardians of the participants. Zygosity of all same-sex twin pairs was determined using the 16-multiplex short-tandem repeat (STR) DNA typing system (Gene Print Power Plex, Promega Corporation, Madison, WI, USA).25 Opposite-sex twin pairs were deemed to be dizygotic. 
Eye Examinations and Refraction Measurements
The eye examinations began with an uncorrected visual acuity test at 4 m using a retroilluminated logMAR chart with tumbling-E optotypes (Precision Vision, La Salle, IL, USA). Ocular motility was evaluated with cover tests conducted at 0.5 and 4.0 meters. Corneal light reflex was used to quantify the degree of tropia according to the Hirschberg method. The light reflex at the pupillary margin is about 2 mm, in the mid-iris region is about 4 mm, and in the limbus is about 6 mm from the pupillary center (with a 4-mm pupil), which corresponds to 15°, 30°, and 45° of deviation. Axial length (AL) was measured by optical biometry using a commercial device (IOLMaster; Carl Zeiss Meditec, Jena, Germany). 
Cycloplegia was induced with 2 drops of 1% cyclopentolate, administered 5 minutes apart, and a third drop administered 20 minutes later. Cycloplegia and pupillary dilation were evaluated after an additional 15 minutes. Cycloplegia was considered complete if the pupil was dilated to 6mm or greater and the pupillary light reflex was absent. If not, an additional 20 minutes of observation was allowed, and refractive measurements were taken regardless of the presence or absence of light reflex. Refraction was performed using an auto-refractor (Topcon KR-8800, Tokyo, Japan) after cycloplegia. 
Questionnaire
The questionnaire used in this study was designed by a World Health Organization (WHO) working group (Supplementary Material S1). It included questions on indoor and outdoor activities on weekdays and weekends separately. In each section, daily activity was divided into four types: nearwork activity (including reading, writing, and drawing), middle-distance activity (including watching television or movies and playing video games), indoor leisure activity (including singing, housework, and dancing indoors), and time spent outdoors (including sports and walking outside). Participants were asked to report daily time spent on each of the activities: using categories of not at all, less than one hour, or more than one hour. If “more than one hour” was reported, the exact time spent on the activity was further specified. The questionnaire was administered by an in-person interview conducted by a single trained interviewer who was fluent in both Mandarin and Cantonese, the two most spoken languages in Guangzhou. 
Data Analysis
Spherical equivalent (SE) was calculated as spherical power plus half cylindrical power. Data of the right eyes were used for MZ discordance analysis because the refractive errors in the right and left eyes were highly correlated (r = 0.92, P < 0.001, Pearson correlation analysis). Furthermore, in order to explore the effect of gene and environment on the variation of intereye SE, we explored the heritability of inter-eye SE difference as continuous traits or binary trait on anisometropia. The definition of anisometropia is the intereye SE difference greater than 2 D. 
On weekdays, the amount of time for each vision-related activities was defined as the sum of time spent in class and before/after class, according to our previous study.26 Based on typical pattern of behaviors in school, we calculated the amount of nearwork during school classes as follows: nearwork time = total class time × 0.4; middle-distance work = total class time × 0.4; indoor leisure time = total class time × 0.1 and outdoor time = total class time × 0.1. Outside of school hours, the time spent on the four types of visual activity was reported directly in responses to the questionnaires. 
During school terms, the average time for each type of activities was calculated as (5 × weekday + 2 × weekend)/7. During holidays, the pattern of visual activities was assumed to be that seen during weekends. In China, there are 9 months of semester days (from February to July and from September to December) and 3 months of summer/winter holidays each year. The average nearwork and time spent outdoors per day in the past year was calculated as (9 × semester day time + 3 × holiday time)/12. 
The SE discordance was defined as the SE of older twin minus the SE of younger twin, based on the order of delivery in the birth certificate. The discordance on environmental parameters were defined in the same manner. A linear mixed-effects model was used to account the correlation between MZ twin pairs, in which the random effect term was used to account for the correlation between MZ twin pairs, and the fixed effect terms was used to model the effects of nearwork and time outdoors. The variation in SE discordance between MZ twin pairs was decomposed into variations in difference in nearwork between MZ twin pairs, differences in time spent outdoors between MZ twin pairs and the unique environmental effects. A P value of less than 0.05 was considered to be statistically significant. The statistical analyses were performed using SAS statistical software (SAS Institute, Inc., Cary, NC, USA). Full details of the linear mixed-effects model are given in the online (Supplementary Material S2). 
Results
In a total of 521 MZ twin pairs examined, 31 pairs were excluded because of incomplete questionnaire responses, incomplete cycloplegia or tropia; the remaining 490 pairs of MZ twins (233 male and 257 female) were included in this analysis. The mean age was 13.1 ± 2.5 years (range, 7 to 18) in 2009. The characteristics of the MZ twins included in the analysis were shown in Table 1. A high correlation between SE of the right and left eyes was found (Pearson, r = 0.92, P < 0.001), data from right eyes were chosen for calculating SE discordance within MZ twin pairs. The distribution of pairwise SE discordance in MZ pairs and intereye SE difference between the two eyes in MZ singletons are shown in the Figure. The standard deviation of intereye SE variation in MZ singletons was significantly greater than the SE discordance in MZ pairs (1.13 D vs. 0.81 D, P < 0.0001, SD test) 
Table 1
 
The Demography of Monozygotic Twin Pairs (N = 980 Individual)
Table 1
 
The Demography of Monozygotic Twin Pairs (N = 980 Individual)
Figure
 
The distribution of SE discordance within MZ twin pair and SE difference between two eyes in single person.
Figure
 
The distribution of SE discordance within MZ twin pair and SE difference between two eyes in single person.
In the mixed-effects model analysis of SE discordance, older age (β = −0.34, P < 0.001) and greater nearwork difference (β = −0.23, P < 0.001) were risk factors for SE discordance, (Table 2). Interaction between age and difference in time spent outdoors was significant for SE discordance (β = 0.07, P = 0.002), while difference in time spent outdoors itself did not have a significant effect (β = −0.89, P = 0.120). The across-twin-pair analyses showed that variation in difference in nearwork and difference in time spent outdoors between the MZ twins explained about 1.8% and 2.5% of the total SE discordance, respectively. 
Table 2
 
Linear Mixed Model for Discordance in SE in MZ Twins
Table 2
 
Linear Mixed Model for Discordance in SE in MZ Twins
We wanted to put some limits on how much of the total variation could be caused by stochastic variation. We assumed that the difference between two eyes in one individual is most likely to come from stochastic variation (or from measurement error), since the two eyes generally share the same genes and environmental exposures. In the Figure, we can see that the stochastic variation explained about 2/3 of the within-MZ twin variance. 
Furthermore, since AL is the most important ocular biometry determining SE, we also explored the effect of nearwork and time outdoors difference on AL discordance in the same way. Interaction between age and environment was not statistically significant and was not included in the final model. Table 3 shows that greater positive nearwork difference was a risk factor for longer AL (β = 0.05, P = 0.001), while time spent outdoors was not a protective factor. The variation in nearwork difference explained about 1.9% of total AL variation. 
Table 3
 
Linear Mixed Model for Discordance in AL in MZ Twins
Table 3
 
Linear Mixed Model for Discordance in AL in MZ Twins
The heritability of intereye SE variation, as well as the heritability of anisometropia, were also evaluated using MZ and DZ twins. The intraclass correlation was calculated, but it was only about 0.02 in both MZ and DZ twin pairs, so it was not suitable for heritability estimation with continuous variables. The concordance of anisometropia was 92.7% in MZ twins and 91.7% in DZ twins, which was not significantly different between the two types of twins. All the above indicated that there was no significant genetic effect on the intereye SE variation. 
Discussion
We used cotwin methodology in our study to explore the role of discordance in difference in nearwork and difference in time spent outdoors on discordance in SE after controlling for genetic predisposition. By using a mixed-effects model, we found that age and nearwork were risk factors for discordance in SE. An interaction effect between time outdoors difference and age was detected, suggesting the association between outdoor time difference and SE discordance was mainly driven by their effects in older age group children, perhaps in the older group, the twins and their cotwins are old enough to behave differently. 
This MZ cotwin discordance methodology potentially provides researchers with valuable insight into the contribution of environmental factors, based on the assumption that genetic background is very similar, if not identical, in MZ twins. In this scenario, MZ phenotypic discordance between MZ twins might be explained by nonshared environmental effects, such as epigenetic variation, stochastic variation or measurement error. The cotwin discordance method has been attempted in a few studies that involve some complex diseases, such as multiple sclerosis.27,28 Ramessur et al.29 have explored the discordance among MZ twins having myopia and found that more myopic twins have higher occupational status, resident in urban area, performing more nearwork than their twin. Previous studies investigated the MZ discordance in disease outcomes dichotomously. In the present study, we explored discordance as a continuous parameter. 
In our study, a questionnaire designed by a WHO working group was adopted and was conducted by in-person interview. Both cross-sectional and longitudinal epidemiologic studies have shown that time spent outdoors is a protective factor against the development of myopia in European and Chinese populations.1719,30 In our cotwin cross-sectional study, we further confirm the protective role of time spent outdoors in MZ twin pairs. 
In a population-based cross-sectional study, potential nongenetic risk factors, including amount of near work, age, and sex, together with IQ, which may have a significant genetic input, explained 10% to 12% of total variation in SE. Unfortunately, the importance of time outdoors had not been recognized at that time, and thus data on this parameter were not included.31 In our analysis, the collected environmental factors suggested by previous evidence (namely nearwork and outdoor time) only accounted for 3.5% of the total phenotypic variation. The questionnaire estimates are known to be imprecise, and hence it is possible that these estimates may have failed to capture the true variance of nearwork and time spent outdoors. An alternative explanation is that other important environmental factors were not included in our data collection, although at present, the two examined, nearwork and time outdoors, appear to be the best documented. Moreover, the measurement error and the potentially nonlinear exposure-outcome relationship may have caused the low degree of variance explained by the two environmental factors. Since the MZ twins tend to share very similar environmental factors, the conclusions on the contribution of nearwork and outdoor time may not be directly applicable to general population. 
Stochastic variation may also explain part of the phenotypic variance among MZ twin pairs. In order to examine the effect of stochastic variation, we plotted the distribution of intereye SE variation in the same individual assuming this intereye variation is largely due to random variation at genome or epigenome level. We estimated the heritability of anisometropia (intereye SE difference >2 D) and intereye variation in SE. This approached zero. The intereye variance (SD = 0.81 D) was about 2/3 of the variance of phenotypic discordance (SD = 1.13 D). This finding suggests that stochastic variance did explain major parts of the pairwise discordance in MZ pairs. 
In this population-based twin study, the twins were recruited independent of zygosity and eye disease status, and the sample is likely to be representative of the population of those ages Consistent with this idea, the distribution of refraction in our twin cohort was comparable to an age-matched sample derived from general population.2 
However, our findings should be interpreted in light of some limitations. First, MZ twin pairs have similar, but not identical, genetic background. Postzygotic effects, could introduce differences.32,33 Secondly, the myopia-related environmental data were collected by a questionnaire in a retrospective fashion, which may lead to some recall bias. Objective measurement of these environmental risk factors is therefore important. 
We cannot clearly distinguish between measurement errors and stochastic variations in this analysis. But it is possible to set a limit to their impact on variation, by looking at the correlations between eyes in refraction. The correlation coefficient in these studies is 0.92, and in many other studies ranges from 0.8 up. Assuming that the departures from prefect correlation are due to these two factors, has an important practical consequence. GWAS studies aiming to explain the variation in refraction in terms of identified SNPs, as well as the role of environmental factors cannot expect to reach 100% power. Assuming around 20% of the variance as associated with stochastic variation and measurement errors, this would lower the target power from 100% to 80%, which would reduce the level of “missing heritability” but by no means eliminate it. 
In conclusion, our results confirm that nearwork is a risk factor of myopia, while time spent outdoors confers protective effects among more time outdoors with elder age, based on an analysis on differences in environmental exposures and their association with discordance in refraction. We found that differences in both nearwork and time spent outdoors accounted for less than 3.0% of the variation in refraction discordance. Given the very marked genetic similarity between MZ twins and the relatively small effects of known environmental risk factors, we suggest that the discordance in refraction between MZ twins may largely result from unknown or uncollected environmental factors, despite the limited evidence for factors other than time outdoors and factors associated with education such as near work, or stochastic variations at the genomic or epigenetic levels. In the case of the difference between eyes, it is possible that essentially stochastic somatic mosaicism could also play a role.34,35 
Acknowledgments
Supported by the National Natural Science Foundation of China (81125007) and Fundamental Research Funds of the State Key Laboratory, the University of Melbourne Research Accelerator Program and the CERA Foundation (MH). The Centre for Eye Research Australia receives Operational Infrastructure Support from the Victorian State Government. The authors alone are responsible for the content and writing of the paper. 
Disclosure: X. Ding, None; Y. Hu, None; X. Guo, None; X. Guo, None; I. Morgan, None; M. He, None 
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Figure
 
The distribution of SE discordance within MZ twin pair and SE difference between two eyes in single person.
Figure
 
The distribution of SE discordance within MZ twin pair and SE difference between two eyes in single person.
Table 1
 
The Demography of Monozygotic Twin Pairs (N = 980 Individual)
Table 1
 
The Demography of Monozygotic Twin Pairs (N = 980 Individual)
Table 2
 
Linear Mixed Model for Discordance in SE in MZ Twins
Table 2
 
Linear Mixed Model for Discordance in SE in MZ Twins
Table 3
 
Linear Mixed Model for Discordance in AL in MZ Twins
Table 3
 
Linear Mixed Model for Discordance in AL in MZ Twins
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