Study of association of PAX6 polymorphisms with susceptibility to high myopia in a Japanese population

Abstract

Purpose

Many studies have investigated the relationship of paired box 6 (PAX6) gene polymorphisms with the risk of high myopia, but the results across studies remain inconsistent and ambiguous. In the present work, we investigated whether PAX6 polymorphisms are associated with high myopia in a Japanese population.

Methods

A total of 1,585 Japanese patients with high myopia (spherical equivalent [SE] <−9.00 diopters [D]) and 1,011 Japanese healthy controls (SE≥−1.00 D) were recruited. To compare genotype frequencies between cases and controls, we genotyped five single nucleotide polymorphisms in the PAX6 gene that are reportedly associated with high/extreme myopia: rs662702, rs3026393, rs644242, rs3026390, and rs667773.

Results

For rs662702, rs644242, and rs667773, odds ratios (ORs) for their risk alleles tended to increase with the progression of SE and axial length in the additive and recessive models. Of these, rs644242 had the highest OR (2.56) in patients with SE<−15 D in both eyes in the recessive model. On the other hand, for rs3026393 and rs3026390, the ORs for their risk alleles tended to increase according to the progression of SE and axial length in the dominant model. Of the two, rs3026393 had the highest OR (2.32) in patients with SE<−15 D in both eyes in the dominant model. However, no significant associations were identified in this study.

Conclusion

We found that these PAX6 single nucleotide polymorphisms were associated with an increased risk of extreme myopia. Although the results, which are in agreement with some previous studies, did not reach statistical significance, PAX6 single nucleotide polymorphisms may be important risk factors for the development of extreme myopia. Further genetic studies with larger sample sizes and taking into account the degree of myopia are needed to clarify the contribution of PAX6 variants in myopia development.

Keywords:

• high myopia
• PAX6
• association study
• polymorphism

Introduction

Myopia is a refractive visual disorder that is considered an important public health problem, especially in Asian populations. High myopia is generally defined by a spherical equivalent (SE) refractive error <−6 diopters (D) or an axial length (AL) >26 mm that can cause blindness associated with an increased risk of various ocular diseases, including retinal detachment, glaucoma, cataracts, and macular degeneration.¹ Because of its high prevalence compared to the global average in Asian countries such as the People’s Republic of China, Singapore, and Japan, high myopia imposes enormous economic and social burdens in these regions.^2–5

Although the cause of myopia is unclear, family-based studies and twin studies have shown that genetic factors contribute to its development and progression.^6–13 Therefore, the identification of genetic factors is important for establishing preventive strategies for myopia. To date, 18 genetic loci for myopia (MYP1 to MYP18) have been reported by familial linkage studies.¹⁴ In the past several years, genome-wide association studies have led to the identification of many important genetic loci/genes involved in myopia, refractive error, and elongation of AL.^15–18 Recently, environmental factors such as education have been reported to influence the association between genetic factors and myopia.^19–21

The paired box 6 (PAX6) gene, located on chromosome 11p13, is a highly conserved family of transcription factors containing the paired and homeobox DNA-binding domains. PAX6 regulates the expression of various molecules, such as cell adhesion molecules, cell–cell signaling molecules, hormones, and structural eye proteins, and the gene plays a critical role in the development of the central nervous system and the eye.²² Mutations in the PAX6 gene result in various ocular diseases including aniridia, foveal hypoplasia, presenile cataract, and aniridia-related keratopathy.²³ In 2004, a genome-wide linkage analysis in UK dizygotic twins showed the highest peak at the 11p13 locus and strong linkage for refractive error in the vicinity of PAX6 at this locus.²⁴ Subsequently, the results of some genetic surveys suggested an association of single nucleotide polymorphisms (SNPs) in PAX6 with high and/or extreme myopia in Taiwanese, Chinese, and Japanese populations,^25–28 suggesting that PAX6 may contribute to the development of high/extreme myopia through genetic polymorphisms. However, other studies have reported a lack of association of PAX6 SNPs with refractive error, myopia, or high myopia in British, Chinese, and mixed populations of some ethnic groups (including mainly Caucasians).^29–32

Further genetic studies thus are needed to clarify the contribution of the PAX6 region to myopia development. The aim of the current study was to investigate whether SNPs in the PAX6 region are associated with high/extreme myopia in our Japanese population.

Methods

Subjects

We recruited 1,585 unrelated Japanese patients with high myopia (SE<−9.00 D in at least one eye) and 1,011 unrelated healthy Japanese controls (SE≥−1.00 D in both eyes) at Yokohama City University, Okada Eye Clinic, and Aoto Eye Clinic in Japan. Participants were unrelated to each other, had similar social backgrounds, and resided in the same urban area. All participants were diagnosed by comprehensive ophthalmologic tests, including AL, fundus examination, spherical power, and corneal curvature (autorefractor; NIDEK [Gamagori, Japan]; ARK-730A, ARK-700A, TOPCON [Tokyo, Japan]; KP-8100P, Biometer/Pachymeter AL-2000; Tomey Corporation, Nagoya, Japan). Those with high myopia had no known genetic diseases associated with myopia and/or high myopia, including glaucoma, keratoconus, and Marfan syndrome. We excluded individuals younger than 20 years, which may include potential myopia patients, from the control cohort. Informed consent was obtained from all participants. The study methodology adhered to the tenets of the Declaration of Helsinki and was approved by the relevant ethics committees in Yokohama City University, Okada Eye Clinic, and Aoto Eye Clinic.

DNA and PAX6 genotyping

The QIAamp DNA Blood Maxi Kit (Qiagen, Hilden, Germany) was used to collect peripheral blood lymphocytes and extract genomic DNA from peripheral blood cells. Procedures were performed under standardized conditions to prevent variation in DNA quality.

We evaluated five SNPs in the PAX6 gene regions: rs662702, rs3026393, rs644242, rs3026390, and rs667773. All five have previously been reported to be associated with high or extreme myopia.^25–28 Genotyping of all SNPs was performed using the TaqMan 5′ exonuclease assay with primer–probe sets supplied by Applied Biosystems (Foster City, CA, USA). Polymerase chain reaction (PCR) was performed using a reaction mixture with a total volume of 10 μL containing 1× TaqMan Universal PCR Master Mix (Applied Biosystems), 24 nM of each primer–probe set, and 3 ng genomic DNA. The PCR conditions were as follows: 95°C for 10 minutes, followed by 40 cycles of denaturation at 92°C for 15 seconds and annealing/extension at 60°C for 1 minute. The probe fluorescence signal was detected using the StepOnePlus Real-Time PCR System (Applied Biosystems) following the manufacturer’s instructions.

Statistical analysis

Genetic data were analyzed using SNP and Variation Suite v8 (Golden Helix, Inc., Bozeman, MT, USA, http://www.goldenhelix.com). Multiple inheritance models were applied in analysis of genotype data to assess each risk allele; additive (R/R vs R/nR vs nR/nR), dominant (R/R + R/nR vs nR/nR), and recessive (R/R vs R/nR + nR/nR) models (assuming that R is the risk allele and nR is the non-risk allele) were assessed. All P-values and odds ratios (ORs) were adjusted for age and sex. Linkage disequilibrium (LD) was assessed using Haploview 4.1 (Broad Institute, Cambridge, MA, USA).³³

Results

The clinical characteristics of the study populations are shown in Table 1. Patient age ranged from 12 to 78 years (mean 38.8±12.2 years), and 44.2% of patients were male. The average SEs were −10.94±2.06 D (range −4.50 to −22.75 D) in the right eye and −10.82±2.07 D (range −4.50 to −24.50 D) in the left eye. The average AL was 27.55±1.22 mm (range 23.92–33.85 mm) for the right eye and 27.51±1.24 mm (range 23.99–34.74 mm) for the left eye. For the controls, the age ranged from 20 to 87 years (mean 58.2±12.3 years), and 41.6% of them were male. The average SEs were 0.48±0.64 D (range −1.00 to 3.50 D) in the right eye and 0.48±0.63 D (range −1.00 to 3.00 D) in the left eye. Average AL values were 23.22±0.80 mm (range 18.76–25.96 mm) and 23.20±0.79 mm (range 18.99–26.05 mm) for the right and left eyes, respectively.

Table 1 Clinical characteristics of the study populations

Parameters	High myopiab (n=1,585)	Controlsc (n=1,011)
Male, %	44.2	41.6
Mean age,a (years)	38.8±12.2	58.2±12.3
Age range	(12, 78)	(20, 87)
Mean SE,a diopter (D)
Right eyes	−10.94±2.06	0.48±0.64
Left eyes	−10.82±2.07	0.48±0.63
Range of SE
Right eyes	(−4.50, −22.75)	(−1.00, 3.50)
Left eyes	(−4.50, −24.50)	(−1.00, 3.00)
Mean AL,a mm
Right eyes	27.55±1.22	23.22±0.80
Left eyes	27.51±1.24	23.20±0.79
Range of AL
Right eyes	(23.92, 33.85)	(18.76, 25.96)
Left eyes	(23.99, 34.74)	(18.99, 26.05)

Notes:

a Data presented are mean ± standard deviation.

b High myopia cases defined as SE<−9.0 D in at least one eye.

c Controls defined as SE≥−1.0 D in both eyes.

Abbreviations: AL, axial length; SE, spherical equivalent.

The genotype frequencies of all five SNPs in PAX6 were in Hardy–Weinberg equilibrium in controls (P>0.05). The magnitude of LD among three SNPs (rs662702, rs644242, and rs667773) was extremely high (r²≥0.98) while the remaining two SNPs (rs3026393 and rs3026390) were in complete LD (r²=1.00). These two LD blocks were not linked to each other (r²≤0.10).

Table 2 shows genotypic association results for the SNPs after stratification according to SE in high myopia cases; that is, <−9.0 D in at least one eye, <−9.0 D in both eyes, <−11.0 D in both eyes, <−13.0 D in both eyes, and <−15.0 D in both eyes. For rs662702, rs644242, and rs667773, ORs for their risk alleles tended to increase according to the progression of SE in the additive and recessive models, and marginal associations were found in patients with SE<−15.0 D in both eyes for rs644242 and rs667773 (rs644242: P=0.069 and OR=2.51; rs667773: P=0.071 and OR=2.50 for the additive model; rs644242: P=0.093 and OR=2.56; rs667773: P=0.095 and OR=2.55 for the recessive model). On the other hand, for rs3026393 and rs3026390, ORs for their risk alleles tended to increase with the progression of SE in the dominant model, and marginal associations were found in patients with SE<−15.0 D in both eyes (rs3026393: P=0.068 and OR=2.32; rs3026390: P=0.075 and OR=2.28).

Table 2 Genotypic association results for five PAX6 SNPs after stratification according to spherical equivalent refractive error

SNP	Position on Chr 11 (build 37.1)	Alleles (1>2)	Risk allele	Phenotype			n	Genotype ([R/R]/[R/nR]/[nR/nR]) frequency, %	Genetic modelsa
					Criteria for SE (D)	Eye meeting criteria			Additive model		Dominant model		Recessive model
									P-value	OR (95% CI)	P-value	OR (95% CI)	P-value	OR (95% CI)
rs662702	31,809,070	G>A	G	Controls	≥−1	Both	1,011	79.4/19.1/1.5
				Cases	<−9	At least one	1,585	80.8/17.6/1.5	0.480	1.09 (0.86–1.37)	0.379	1.46 (0.63–3.39)	0.603	1.07 (0.83–1.38)
					<−9	Both	1,252	80.8/17.4/1.8	0.643	1.06 (0.83–1.36)	0.486	1.36 (0.58–3.21)	0.764	1.04 (0.79–1.38)
					<−11	Both	394	82.3/14.9/2.8	0.663	1.07 (0.78–1.47)	0.662	0.81 (0.31–2.12)	0.497	1.14 (0.78–1.65)
					<−13	Both	130	85.3/12.4/2.3	0.399	1.22 (0.76–1.94)	0.948	1.05 (0.27–4.06)	0.329	1.31 (0.75–2.29)
					<−15	Both	36	88.9/11.1/0.0	0.171	1.89 (0.69–5.17)	nd	nd	0.236	1.85 (0.62–5.48)
rs3026393	31,812,215	T>G	G	Controls	≥−1	Both	1,011	22.7/48.6/28.8
				Cases	<−9	At least one	1,585	22.7/50.0/27.3	0.791	0.98 (0.85–1.13)	0.950	1.01 (0.80–1.26)	0.607	0.94 (0.74–1.19)
					<−9	Both	1,252	22.4/50.3/27.2	0.851	0.99 (0.85–1.15)	0.876	1.02 (0.80–1.30)	0.629	0.94 (0.72–1.22)
					<−11	Both	394	22.8/52.9/24.3	0.844	1.02 (0.83–1.25)	0.214	1.23 (0.89–1.71)	0.335	0.85 (0.60–1.19)
					<−13	Both	130	24.0/55.8/20.2	0.437	1.12 (0.84–1.48)	0.078	1.54 (0.94–2.52)	0.632	0.89 (0.55–1.43)
					<−15	Both	36	25.0/61.1/13.9	0.384	1.24 (0.76–2.02)	0.068	2.32 (0.87–6.20)	0.769	0.89 (0.39–2.00)
rs644242	31,812,801	G>T	G	Controls	≥−1	Both	1,011	79.5/19.1/1.4
				Cases	<−9	At least one	1,585	81.1/17.5/1.5	0.493	1.08 (0.86–1.37)	0.366	1.49 (0.63–3.51)	0.623	1.07 (0.82–1.38)
					<−9	Both	1,252	81.1/17.2/1.7	0.641	1.06 (0.83–1.36)	0.460	1.39 (0.58–3.35)	0.771	1.04 (0.79–1.38)
					<−11	Both	394	82.9/14.5/2.6	0.519	1.11 (0.81–1.53)	0.773	0.86 (0.32–2.35)	0.389	1.18 (0.81–1.72)
					<−13	Both	130	86.0/11.6/2.3	0.315	1.27 (0.79–2.04)	0.960	1.04 (0.27–4.04)	0.240	1.39 (0.79–2.45)
					<−15	Both	36	91.7/8.3/0.0	0.069	2.51 (0.79–7.98)	nd	nd	0.093	2.56 (0.75–8.72)
rs3026390	31,813,509	A>G	G	Controls	≥−1	Both	1,011	22.5/48.8/28.7
				Cases	<−9	At least one	1,585	22.8/50.0/27.2	0.758	0.98 (0.85–1.13)	0.992	1.00 (0.80–1.26)	0.596	0.94 (0.74–1.19)
					<−9	Both	1,252	22.5/50.4/27.1	0.819	0.98 (0.84–1.15)	0.907	1.01 (0.80–1.29)	0.611	0.93 (0.72–1.21)
					<−11	Both	394	22.7/53.3/24.0	0.860	1.02 (0.83–1.25)	0.207	1.23 (0.89–1.72)	0.310	0.84 (0.60–1.18)
					<−13	Both	130	23.8/56.2/20.0	0.468	1.11 (0.84–1.47)	0.084	1.53 (0.93–2.50)	0.598	0.88 (0.55–1.42)
					<−15	Both	36	25.0/61.1/13.9	0.399	1.23 (0.76–2.01)	0.075	2.28 (0.85–6.09)	0.764	0.88 (0.39–1.99)
rs667773	31,815,362	C>T	C	Controls	≥−1	Both	1,011	79.6/18.9/1.5
				Cases	<−9	At least one	1,585	81.1/17.4/1.5	0.502	1.08 (0.86–1.37)	0.344	1.51 (0.65–3.54)	0.644	1.06 (0.82–1.38)
					<−9	Both	1,252	81.1/17.2/1.7	0.637	1.06 (0.83–1.36)	0.438	1.41 (0.59–3.37)	0.775	1.04 (0.79–1.37)
					<−11	Both	394	83.0/14.4/2.6	0.540	1.10 (0.80–1.52)	0.797	0.88 (0.32–2.38)	0.416	1.17 (0.80–1.70)
					<−13	Both	130	86.6/11.0/2.4	0.264	1.31 (0.81–2.12)	0.969	1.03 (0.27–3.97)	0.187	1.46 (0.82–2.60)
					<−15	Both	36	91.7/8.3/0.0	0.071	2.50 (0.79–7.93)	nd	nd	0.095	2.55 (0.75–8.67)

Notes:

a Multiple inheritance models were applied in analysis of genotype data to assess each risk allele: additive (R/R vs R/nR vs nR/nR), dominant (R/R + R/nR vs nR/nR), and recessive (R/R vs R/nR + nR/nR) models were assessed. P-values and ORs were adjusted for age and sex.

Abbreviations: 1, major allele; 2, minor allele; Chr, chromosome; CI, confidence interval; D, diopter; nd, not detected; nR, non-risk allele; OR, odds ratio; PAX6, paired box 6; R, risk allele; SE, spherical equivalent; SNPs, single nucleotide polymorphisms.

Table 3 shows genotypic association results after stratification according to AL in high myopia cases, as follows: >26, >28, >29, and >30 mm in both eyes. For rs662702, rs644242, and rs667773, ORs for their risk alleles tended to increase according to the progression of AL in the additive and recessive models, and the highest ORs were observed in patients with AL>30 mm in both eyes in the recessive model (OR=1.87–1.90). On the other hand, for rs3026393 and rs3026390, ORs for their risk alleles tended to increase according to the progression of AL in the dominant model, and the highest ORs were observed in patients with AL>30 mm in both eyes (OR=1.79 and 1.78, respectively). However, no significant associations were found in this genotypic analysis.

Table 3 Genotypic association results for five PAX6 SNPs after stratification by axial length

SNP	Position on Chr 11 (build 37.1)	Alleles (1>2)	Risk allele	Phenotype			n	Genotype ([R/R]/[R/nR]/[nR/nR]) frequency, %	Genetic modelsa
					Criteriafor AL (mm)	Eye meeting criteria			Additive model		Dominant model		Recessive model
									P-value	OR (95% CI)	P-value	OR (95% CI)	P-value	OR (95% CI)
rs662702	31,809,070	G>A	G	Controls	<24	Both	779	78.7/19.5/1.8
				Cases	>26	Both	1,247	81.1/17.3/1.5	0.436	1.11 (0.85–1.47)	0.159	2.00 (0.77–5.20)	0.665	1.07 (0.79–1.45)
					>28	Both	361	83.4/14.6/2.0	0.149	1.32 (0.90–1.92)	0.168	2.36 (0.68–8.15)	0.237	1.30 (0.84–2.01)
					>29	Both	111	86.4/11.8/1.8	0.115	1.56 (0.88–2.78)	0.475	1.79 (0.34–9.43)	0.106	1.75 (0.87–3.51)
					>30	Both	30	86.7/10.0/3.3	0.350	1.52 (0.60–3.85)	0.930	1.10 (0.12–10.05)	0.258	1.90 (0.59–6.11)
rs3026393	31,812,215	T>G	G	Controls	<24	Both	799	22.0/49.7/28.3
				Cases	>26	Both	1,247	22.7/50.7/26.5	0.630	1.04 (0.88–1.24)	0.744	1.05 (0.80–1.37)	0.642	1.07 (0.80–1.43)
					>28	Both	361	23.4/52.4/24.2	0.347	1.12 (0.88–1.42)	0.160	1.31 (0.90–1.92)	0.917	1.02 (0.69–1.51)
					>29	Both	111	25.5/53.6/20.9	0.272	1.21 (0.86–1.71)	0.116	1.58 (0.88–2.81)	0.831	1.06 (0.60–1.88)
					>30	Both	30	30.0/53.3/16.7	0.474	1.23 (0.70–2.14)	0.248	1.79 (0.64–5.01)	0.953	1.03 (0.41–2.55)
rs644242	31,812,801	G>T	G	Controls	<24	Both	799	78.8/19.5/1.7
				Cases	>26	Both	1,247	81.3/17.2/1.5	0.475	1.11 (0.84–1.45)	0.156	2.05 (0.77–5.42)	0.717	1.06 (0.78–1.44)
					>28	Both	361	84.0/14.0/2.0	0.119	1.35 (0.93–2.00)	0.167	2.40 (0.68–8.39)	0.189	1.34 (0.86–2.10)
					>29	Both	111	86.4/11.8/1.8	0.123	1.56 (0.87–2.78)	0.486	1.77 (0.33–9.35)	0.113	1.72 (0.86–3.46)
					>30	Both	30	86.7/10.0/3.3	0.363	1.52 (0.59–3.85)	0.939	1.09 (0.12–9.98)	0.269	1.87 (0.58–6.04)
rs3026390	31,813,509	A>G	G	Controls	<24	Both	799	21.8/49.8/28.4
				Cases	>26	Both	1,247	22.8/50.8/26.4	0.619	1.04 (0.88–1.24)	0.728	1.05 (0.80–1.38)	0.641	1.07 (0.80–1.43)
					>28	Both	361	23.3/52.8/23.9	0.326	1.13 (0.89–1.43)	0.135	1.34 (0.91–1.96)	0.937	1.02 (0.69–1.50)
					>29	Both	111	25.2/54.1/20.7	0.273	1.21 (0.86–1.71)	0.108	1.59 (0.89–2.84)	0.863	1.05 (0.59–1.86)
					>30	Both	30	30.0/53.3/16.7	0.477	1.22 (0.70–2.14)	0.251	1.78 (0.63–5.00)	0.953	1.03 (0.41–2.55)
rs667773	31,815,362	C>T	C	Controls	<24	Both	799	78.8/19.4/1.8
				Cases	>26	Both	1,247	81.4/17.1/1.5	0.417	1.12 (0.85–1.47)	0.146	2.06 (0.79–5.41)	0.647	1.07 (0.79–1.46)
					>28	Both	361	84.6/13.5/2.0	0.083	1.39 (0.95–2.04)	0.164	2.38 (0.69–8.22)	0.130	1.41 (0.90–2.19)
					>29	Both	111	86.4/11.8/1.8	0.111	1.56 (0.88–2.78)	0.473	1.79 (0.34–9.42)	0.102	1.75 (0.87–3.51)
					>30	Both	30	86.7/10.0/3.3	0.349	1.52 (0.60–3.85)	0.930	1.10 (0.12–10.05)	0.258	1.90 (0.59–6.12)

Notes:

a Multiple inheritance models were applied in analysis of genotype data to assess each risk allele: additive (R/R vs R/nR vs nR/nR), dominant (R/R + R/nR vs nR/nR), and recessive (R/R vs R/nR + nR/nR) models were assessed. P-values and ORs were adjusted for age and sex.

Abbreviations: 1, major allele; 2, minor allele; AL, axial length; CI, confidence interval; nR, non-risk allele; OR, odds ratio; PAX6, paired box 6; R, risk allele; SNPs, single nucleotide polymorphisms.

Discussion

The aim of the present study was to assess whether polymorphisms in the PAX6 gene region affect the development of high/extreme myopia in our Japanese population. Patients with SE<−9.00 D in at least one eye were selected for this study because higher degree of myopia suggests that genetic factors may show stronger involvement. We genotyped five polymorphisms in the region and found that the relationship between PAX6 SNPs and myopia became stronger with the progression of myopia, although it did not reach statistical significance. Our findings suggest that PAX6 SNPs play an important role in the risk of extreme myopia in the Japanese population.

Tsai et al²⁵ found a significantly higher frequency of the CC genotype of rs667773 in extreme myopia (SE<−10.0 D in both eyes) (OR=5.265) but not high myopia (SE<−6.0 D in both eyes) compared to controls in Chinese Taiwanese. Liang et al²⁷ reported that the frequencies of the GG genotype of rs662702 and rs644242, which are in extremely high LD with rs667773, significantly increased with the progression of myopia in Chinese Taiwanese and that the GG genotypes of rs662702 and rs644242 had the highest ORs (2.1 and 2.3, respectively) in extreme myopia (SE≤−11.0 D in both eyes). Additionally, Miyake et al²⁸ reported that rs644242 showed a significant association with high (AL≥26 mm in both eyes) and extreme (AL≥28 mm in both eyes) myopia in a Japanese population and that the G allele was protective for both. In the present study, in a Japanese population, we found that the CC genotype of rs667773 and the GG genotype of rs644242 (recessive model) had the highest ORs (2.55 and 2.56, respectively) in extreme myopia with SE<−15.0 D in both eyes and that the GG genotype of rs662702 (recessive model) had the highest OR (1.90) in extreme myopia with AL≥30 mm in both eyes. These findings are in line with the previous studies. Considering the above, the risk allele(s) of rs667773, rs644242, and/or rs662702 may contribute to the development of extreme myopia under the recessive model.

On the other hand, other studies have not found a relationship between rs667773/rs662702 and myopia in several populations.^26,29–32 However, these authors, with the exception of Dai et al,³² did not perform an analysis targeting extreme myopia, and moreover, almost all of them, including Dai et al,³² used limited sample sizes, with the potential to yield false results.^26,29–32 Therefore, it is assumed that these previous studies had not been performed under appropriate conditions to assess associations between rs667773/rs644242/rs662702 and extreme myopia.

Han et al²⁶ demonstrated that the T allele of rs3026393 and the A allele of rs3026390 are associated with a significantly increased risk of high myopia (<−6.0 D) in dominant and recessive models in Han Chinese. In the present study, we found that the ORs of the G allele of rs3026393 and the G allele of rs3026390 increased according to the progression of myopia in the dominant model. Our result diverges from that of Han et al,²⁶ in that the disease risk-related allele differs between the present and previous studies for rs3026393 and rs3026390. Moreover, other studies found no relationship between the genotypes and myopia in Han Chinese, Chinese Taiwanese, and British populations.^27,29,31,32 None of these previous studies^{26,27,29,31,32} involved analyses targeting extreme myopia with SE<−13.0 D or <−15.0 D, which had higher ORs (OR>1.50) at rs3026393 and rs3026390 in the present study (the study by Han et al²⁶ used the lowest SE cutoff point [≤−10.0 D] among the previous studies). Because the present study found that ORs for rs3026393 and rs3026390 were proportionate to the progression of myopia in the dominant model and that lower ORs (≤1.23) were observed in myopia patients with SE<−11.0 D, there is a possibility that these earlier studies^{26,27,29,31,32} failed to detect the association between rs3026393/rs3026390 and extreme myopia.

In conclusion, we found that all of the PAX6 SNPs tested in this study were associated with an increased risk of extreme myopia. However, the results did not reach statistical significance; this is probably due to small sample sizes after stratification by SE or AL. Further genetic studies with larger sample sizes and consideration of degree of myopia are needed to elucidate the possible contributions of the PAX6 region in myopia development.

Acknowledgments

This study was supported by JSPS KAKENHI grant number 23590382. We thank all the participants for their participation in this study and all the medical staff involved in sample collection and diagnosis.

Disclosure

The authors report no conflicts of interest in this work.