Literature DB >> 35457050

Next-Generation Sequencing Screening of 43 Families with Non-Syndromic Early-Onset High Myopia: A Clinical and Genetic Study.

Eva González-Iglesias1, Ana López-Vázquez2, Susana Noval2, María Nieves-Moreno2, María Granados-Fernández2, Natalia Arruti2, Irene Rosa-Pérez2, Marta Pacio-Míguez3,4, Victoria E F Montaño1,3, Patricia Rodríguez-Solana1, Angela Del Pozo3,5, Fernando Santos-Simarro3,6, Elena Vallespín1,3.   

Abstract

Early-onset high myopia (EoHM) is a disease that causes a spherical refraction error of ≥-6 diopters before 10 years of age, with potential multiple ocular complications. In this article, we report a clinical and genetic study of 43 families with EoHM recruited in our center. A complete ophthalmological evaluation was performed, and a sample of peripheral blood was obtained from proband and family members. DNA was analyzed using a customized next-generation sequencing panel that included 419 genes related to ophthalmological disorders with a suspected genetic cause, and genes related to EoHM pathogenesis. We detected pathogenic and likely pathogenic variants in 23.9% of the families and detected variants of unknown significance in 76.1%. Of these, 5.7% were found in genes related to non-syndromic EoHM, 48.6% in genes associated with inherited retinal dystrophies that can include a syndromic phenotype, and 45.7% in genes that are not directly related to EoHM or retinal dystrophy. We found no candidate genes in 23% of the patients, which suggests that further studies are needed. We propose a systematic genetic analysis for patients with EoHM because it helps with follow-up, prognosis and genetic counseling.

Entities:  

Keywords:  early-onset high myopia; next-generation sequencing; ophthalmogenetics

Mesh:

Year:  2022        PMID: 35457050      PMCID: PMC9031962          DOI: 10.3390/ijms23084233

Source DB:  PubMed          Journal:  Int J Mol Sci        ISSN: 1422-0067            Impact factor:   6.208


1. Introduction

High myopia (HM), the most challenging type, is defined as a spherical refraction error of −6 spherical diopters (SDs) or more, or an axial length greater than 26 mm. From a physiological point, myopia is a refractive error in which, in a state of relaxed accommodation, light rays parallel to the eye with an origin greater than 6 m away focus anteriorly on the retina after passing through the eye’s refractive system [1,2]. This disease is a common cause of vision loss, with uncorrected myopia the leading cause of vision impairment globally. The condition is known to be associated with ocular complications such as cataracts, glaucoma, neovascular membranes, retinal tears and retinal detachment. The prevalence of myopia and HM worldwide is 30.6% and 2.7%, respectively [3]; however, recent studies have estimated that this prevalence will increase to 49.8% and 9.8%, respectively, by 2050 [4]. The most recent study in a Spanish population showed that the prevalence of myopia and HM in children aged 5–7 years is 20% and 3.6%, respectively [5]. The pathogenesis of myopia relies on genetic, environmental (external) and microenvironmental (internal) factors. Most children are born hyperopic, and, during the first 2 years after birth, a process known as emmetropization occurs, which is mainly influenced by a change in axial length [3]. From this moment on, environmental factors such as near work (defined as activities with a short working distance) [6], exposure to artificial light [7,8,9] can modify this condition. The onset of HM before 10 years of age, known as early-onset high myopia (EoHM), is an important aspect for research, considering that environmental factors lose relevance in children of this age, allowing an approach to the pathogenesis of high myopia as a monogenic disease [10]. Familial genetics can also contribute to this condition [11]. Physiopathological factors of the microenvironment such as oxidative stress, inflammation and angiogenesis can also induce EoHM or promote the exacerbation of the disease. Oxidative stress is produced by the metabolism of reactive species of oxygen (ROS). Retinal tissue has the highest oxygen consumption of the body and is directly exposed to natural light. These two factors produce a higher concentration of ROS in the tissue. In addition to this, EoHM patients are known to present an oxidative/antioxidative statue imbalance suggesting that oxidative stress can induce EoHM onset directly [12]. Oxidative stress is also responsible for causing an inflammatory state that may also lead to the development of the disease [13]. In 2015, Zhu et al., and in 2021, Wei et al., determined that the microenvironment of EoHM eyes is unique due to the increase of proinflammatory cytokines (IL6, IFN-γ, IP-10, eotaxin, and MIP-1α) and angiogenic growth factors (VEGF, MCP1, and IL5) in the aqueous and vitreous humor found in patients [12,14,15,16]. The presence of a higher concentration of the vascular endothelial growth factor (VEGF) as an angiogenic factor could make the EoHM patients’ eyes more susceptible to developing vascular diseases [14]. This manuscript focuses on the genetic factors that may be affecting the development of EoHM, in which over 100 genes and 20 chromosomal loci have been identified in association with myopia and the related quantitative traits via linkage analysis, candidate gene analysis, genome-wide association study and next-generation sequencing (NGS). However, only a small number of genes have been identified to predispose individuals to EoHM, suggesting a complex mechanism [13,17,18]. Eleven genes have been identified as autosomal dominant genes to produce non-syndromic EoHM (ZNF644, SCO2, SLC39A5, CCDC111, P4HA2, BSG, CPSF1, NDUFAF7, TNFRSF21, XYLT and DZIP1); four as autosomal recessive (LRPAP1, CTSH, LEPREL1 and LOXL3) and two linked to chromosome X (ARR3 and OPN1LW). To date, 26 loci have been discovered (23 in autosomal chromosomes and 3 in chromosome X) [7,19]. Other studies have linked EoHM with genes such as CTNND2, JOANA, CACNA1F and RPGR [20,21]. Given that myopia is a refractive error disease, other studies have reported single nucleotide polymorphisms (SNPs) related to refractive error in PRSS56, BMP3, KCNQ5, LAMA2, TOX, TJP2, RDH5, ZIC2, RASGRF1, GJD2, RBFOX1, SHISA6, FAM150B-ACP1, LINC00340, FBN1, DIS3L-MAP2K1, ARID2-SNAT1 and SLC14A2 [22,23,24]. The proper diagnosis of EoHM is essential because it can be the first sign of a syndromic condition. For cases in which an NGS panel is performed with only non-syndromic EoHM-related genes, a syndromic condition, such as Stickler syndrome, might be overlooked. We therefore recommend a broader approach when faced with a child with EoHM. Several ophthalmological diseases, such as childhood glaucoma, retinopathy of prematurity, congenital stationary night blindness and cone-rod dystrophies, are known to be involved in the development of EoHM [25]. It is also essential to consider the family history in the early diagnosis, and treatment can prevent further complications. This study is based on the hypothesis of the possible greater involvement of a genetic cause in the development of EoHM when compared with late-onset HM (LoHM). To clarify this, we analyzed 43 families with EoHM to describe not only the pathogenic genes that have already been related to EoHM or related syndromes but also new affected genes that have not been directly related and could be causing this condition.

2. Results

The study results were obtained from an ongoing project for identifying mutations that cause EoHM in a sample of families at a tertiary hospital in Spain. The project also aims to evaluate the implementation of NGS and its relevance as part of the approach for patients with EoHM. A total of 43 patients with EOHM from 43 unrelated families (51% male [22/43] and 49% female [21/43]) were recruited based on their phenotype and inclusion criteria (listed in Section 4. Materials and Methods). A complete clinical evaluation and genetic analysis were performed for the proband of each of the 43 families. After performing the genetic analysis of all probands and their families, six genetically affected family members who had not been considered as probands were detected and were added to the study group. The mean visual acuity on the decimal scale was 0.59 for the right eye (OD) and 0.55 in the left eye (OS). Axial length (AL) was measured with the IOL master 500 (Carl Zeiss Meditec, Jena, Germany) with a mean AL of 27.79 mm for the OD and 27.95 mm for the OS. Only 2 patients had an AL shorter than 25.5 mm. The mean spherical refraction was −10.8 SD for the OD and −10.44 SD for the OS, with a spherical equivalent of −11.22 for the OD and −10.44 for the OS (Table 1).
Table 1

Refractive results.

Right EyeLeft Eye
Best corrected visual acuity (decimal scale)0.59 ± 0.330.55 ± 0.33
Axial length (mm)27.79 ± 2.527.95 ± 2.59
Spherical refraction (diopters)−10.8 ± 6.1−10.44 ± 5.38
Astigmatism (diopters)−1.71 ± 1.3−1.92 ± 1.4
Spherical equivalent (diopters)−11.22 ± 5.45−10.44 ± 4.66

Results are presented as mean ± standard deviation.

Strabismus was present in 12% of the patients (5/43), with esotropia being the most common type (80%). Twelve percent (5/43) of the patients presented with nystagmus. When we consider only the 37 patients younger than 12 years at the time of the examination, only two (5%) presented with a posterior staphyloma, four (11%) presented with peripapillary atrophy, and 14 (38%) presented with diffuse chorioretinal atrophy. One patient had a colobomatous papilla, and one patient had complete retrolental retinal detachment in one eye (Table 2). We performed retinography with Optos (Marlborough, MA, USA) and optical coherence tomography (OCT) with Heidelberg OCT (Heidelberg Engineering GmbH, Heidelberg, Germany) (Figure 1, Figure 2, Figure 3 and Figure 4).
Table 2

Clinical Evaluation of Probands.

Family NumberSexBCVA ODBCVA OSAL ODAL OSFunduscopic Examination ODFunduscopic Examination OSSPcc ODAstig ODSE OD ccSPcc OSAstig OSSE OS cc
OFT-00074F0.60.0826.626.93Diffuse chorioretinal atrophy, Central staphylomaDiffuse chorioretinal atrophy, Central staphyloma−12−0.5−12.25−12.75−2.5−14
OFT-00155M0.1250.1NANAHealthy retinaHealthy retina−10−1.25−10.6−8.75−2.75−10.1
OFT-00209M0.60.7NANADiffuse chorioretinal atrophyDiffuse chorioretinal atrophy−8.5−3−10−7−3−8.5
OFT-00177FNANANANADiffuse chorioretinal atrophyDiffuse chorioretinal atrophy−240−24−180−18
OFT-00178M0.30.426.7526.65Healthy retina, Mild optic nerve pallorHealthy retina−6.75−4−8.75−7.25−3.25−8.88
OFT-00181M0.90.926.626.7Healthy retinaHealthy retina−8.25−1−8.75−8−1−8.5
OFT-00223F0.30.328.0427.62Atrophic optic nerveAtrophic optic nerve−13.5−2.5−14.75−13−0.5−13.25
OFT-00092 *M0.10.05NANAHealthy retinaPeripheral toxoplasma scar−0.5−1.5−1.25−2.25−0.75−2.6
OFT-00097M0.40.226.8426.47Tessellated fundus, Healthy optic nerveTessellated fundus, Healthy optic nerve−9.75−5.25−12.35−10−5.25−12.6
OFT-00045M0.05123.5623.43Hypopigmented fundus, Foveal hypoplasia, Colobomatous optic nerveHypopigmented fundus, Foveal hypoplasia−9.75−2.5−11−10−3−11.5
OFT-00275F0.70.127.6127.6Diffuse chorioretinal atrophyDiffuse chorioretinal atrophy−11.5−1−12−12−3.25−13.6
OFT-00332M0.250.329.4129.02Tessellated fundus, Epiretinal fibrosisTessellated fundus, WWP on inferior and temporal retina−15.25−1−15.75−14.75−0.5−15
OFT-00343F0.80.8NANADiffuse chorioretinal atrophy, Peripapillary atrophyDiffuse chorioretinal atrophy, Peripapillary atrophy−15.75−2.75−17.1−16−1.25−16.75
OFT-00191M0.50.526.0526.15Diffuse chorioretinal atrophy, Mild optic nerve pallorDiffuse chorioretinal atrophy, Mild optic nerve pallor−9−2−10−8.75−3.25−10.4
OFT-00391M0.9NANANAHealthy retina, WWP inferotemporalHealthy retina−7.25−2.25−8.375−7−3−8.5
OFT-00407M0.60.528.2627.8Diffuse chorioretinal atrophy, Mild optic nerve pallorDiffuse chorioretinal atrophy, Mild optic nerve pallor−9.75−3.5−11.5−9.5−2.5−10.75
OFT-00429M0.80.6NANADiffuse chorioretinal atrophy, Peripapillary atrophy, WWP inferiorlyDiffuse chorioretinal atrophy, Peripapillary atrophy, WWP inferiorly−200−20−190−19
OFT-00436M0.630.327.4230.93Diffuse chorioretinal atrophyDiffuse chorioretinal atrophy−7−2.5−8.25−15−3.75−16.875
OFT-00453FNFxFxNANAComplete retinal detachmentDiffuse chorioretinal atrophy, Peripapillary atrophy2.25−2.251.125−9.5−1.5−10.25
OFT-00463F0.30.0532.4433.57Severe peripapillary and macular atrophySevere peripapillary and macular atrophyNANANANANANA
OFT-00474M0.10.727.4325.99Diffuse chorioretinal atrophyDiffuse chorioretinal atrophy−11.5−1.25−12.125−10.25−0.5−10.5
OFT-00490FNANANANANANANANANANANANA
OFT-00506F0.70.7NANATessellated fundusTessellated fundus−13.25−2−14.25−12.5−1.5−13.25
OFT-00533FNANANANANANANANANANANANA
OFT-00546M1124.4524.12Healthy retinaHealthy retina−7.25−0.75−7.625−5−1−5.5
OFT-00554M0.30.5NANAHealthy retinaHealthy retina−9−2.5−10.25−7.5−1.25−8.125
OFT-00559M0.40.3NANADiffuse increase in vascular ramification, Avascular peripheral retinaAvascular peripheral retina−7−1.25−7.625−7.5−1.75−8.375
OFT-00568F0.160.834.0933.89Diffuse chorioretinal atrophy, Peripapillary atrophy, StaphylomaDiffuse chorioretinal atrophy, Peripapillary atrophy, StaphylomaNANANANANANA
OFT-00586F0.80.05NANADiffuse chorioretinal atrophyDiffuse chorioretinal atrophyNANANANANANA
OFT-00590F0.630.529.3928.66Diffuse chorioretinal atrophyDiffuse chorioretinal atrophy−18.25−0.25−18.37−20.5−1.25−1.75
OFT-00601M10.927.9227.68Healthy retinaHealthy retina−7−1−7.5−6.5−1−7
OFT-00630F0.080.08NANADiffuse chorioretinal atrophy, Central staphylomaDiffuse chorioretinal atrophy, Central staphyloma−26NANA−26NANA
OFT-00493FNANANANANANANANANANANANA
OFT-00175M0.90.831.2230.98Diffuse chorioretinal atrophy, Peripapillary atrophyDiffuse chorioretinal atrophy, Peripapillary atrophy−13.5−4.75−15.87−13.25−6−16.25
OFT-00220M10.825.726.2Healthy retinaHealthy retina−5−0.5−5.25−6−2.5−7.25
OFT-00253F0.90.929.5929.1Healthy retinaHealthy retina−19.250−19.25−17.25−0.5−17.5
OFT-00268M0.50.627.0827.18Diffuse chorioretinal atrophyDiffuse chorioretinal atrophy−7.25−0.75−7.6−7−1−7.5
OFT-00435F0.50.524.9928.13Healthy retinaHealthy retina−21.25−1.5−22−14−3.25−15.625
OFT-00443M1.21NANARPE hypertrophy, WWP temporal and superiorHealthy retina−7.75−0.5−8−8.5−0.5−8.75
OFT-00477F1.251.25NANAHealthy retinaHealthy retina−7.5−0.75−7.875−8−1.5−8.75
OFT-00517F10.8NANATessellated fundusTessellated fundus−6−1.25−6.625−5−2−6
OFT-00529 *FNLP0.63NANADiffuse atrophy, Previous RDDiffuseNANANA−0.25−1.75−1.25
OFT-00623F0.50.67NANATessellated fundusTessellated fundus−6−2−7−2.75−0.75−3.5

M, male; F, female; BCVA, best-corrected visual acuity; NFx, non-fixation; Fx, fixation; NLP, no light perception; OD, right eye; OS, left eye; AL, axial length; WWP, white without pressure; RD, retinal detachment; SPcc, sphere with cycloplegia; Astig, astigmatism; SE, spherical equivalent; NA, not nvailable. * Patients from family OFT-00092 and OFT-00529 had already undertaken cataract surgery and therefore did not have a higher degree of myopia in the last examination. However, the degree of preoperative myopia met the inclusion criteria.

Figure 1

Posterior staphyloma. Right and left eyes. Optos (Marlborough, MA, USA).

Figure 2

Diffuse chorioretinal atrophy. Right and left eyes. Optos (Marlborough, MA, USA).

Figure 3

Optic nerve OCT with peripapillary atrophy, from left to right, OD and OS. Patient from family OFT-0047.

Figure 4

Macular OCT with central staphyloma, from left to right OD and OS. Patient from family OFT-0047.

After performing an NGS analysis with a specifically designed panel, we found 46 variants in 33 probands in known genes for EoHM (Table 3). Of these, we found six pathogenic and five likely pathogenic variants (23.9%) and 35 (76.1%) variants of unknown significance (VUS) (Table 3). However, we found no genetic cause in 10 patients (23%).
Table 3

Genetic Results of Probands.

Family IDFirst DiagnosisSecond DiagnosisGeneTranscriptMutationACMG Criteria *ACMG ResultVariant TypeZygosityInheritanceSegregation Analysis PerformedDe Novo /InheritedReported by
OFT-00074EoHMNYSTAGMUS AND ESOTROPIA TRPM1 NM_002420.5Allele 1: c.3121C>T: p.Arg1041Trp Allele 2: c.1023+1G>APM2/PVS1, PM2, PP3, PP5VUS/PAllele 1: Missense Allele 2: SplicingCompound HeteroARYesAllele 1: Maternal/Allele 2: UnknownAllele 1: Novel/Allele 2: Miraldi Utz et al., 2018 [26]
OFT-00155EoHMNYSTAGMUS GPR143 NM_000273.2c.1157G>A: p.Ser386AsnPM2, PP1, PP2VUSMissenseHemiX-linkedYesMaternalNovel **
CACNA1F NM_005183.3c.2924G>A: p.Arg975GlnPM2, PP1, PP3VUSMissenseHemiX-linkedYesMaternalNovel **
OFT-00209EoHM- TIMP2 NM_003255.5c.498C>G: p.Ile166MetPM2, PP3VUSMissenseHeteroADYesMaternalNovel **
COL9A1 NM_001851.6c.6G>T: p.Lys2AsnPM2VUSMissenseHeteroADYesUnknownNovel **
OFT-00177EoHMCONE-ROD DYSTROPHY AND SUBCAPSULAR CATARACT CEP290 NM_025114.4c.5777G>C: p.Arg1926ProPM2, PP3VUSMissenseHeteroSNoUnknownWiszniewski et al., 2011 [27]; Sheck et al., 2018 [28]; Sallum et al., 2020 [29]
PCDH15 NM_001142763.2c.5308_5313del: p.Ala1770_Pro1771delPM2, PM4, PP3VUSDeletionHeteroSNoUnknownNovel **
OFT-00178EoHM- LRP5 NM_002335.4c.4610C>T: p.Ala1537ValPM2VUSMissenseHeteroADNoPaternalNovel **
OFT-00181EoHMRETINAL DYSTROPHY COL2A1 NM_001844.5c.2818C>T: p.Arg940TerPVS1, PP5, PM2, PP3PNonsenseHeteroADYesMaternalKondo et al., 2016 [30]; Maddirevula et al., 2018 [31]; Zhou et al., 2018 [4]
OFT-00223EoHM- PEX1 NM_000466.3c.440T>C: p.Val147AlaPM2, PP3VUSMissenseHeteroADYesMaternalNovel **
VDR NM_001017536.2c.1223G>A: p.Arg408HisPM1, PM2VUSMissenseHeteroADNoMaternalNovel **
MMP9 NM_004994.3c.822G>C: p.Glu274AspPM2VUSMissenseHeteroADYesPaternalNovel **
OFT-00092EoHMRETINAL DYSTROPHY KCNV2 NM_133497.4c.458G>A: p.Arg153HisPM2, PP3VUSMissenseHeteroSNoUnknownNovel **
OFT-00097EoHMNYSTAGMUS AND ASTIGMATISM CFH NM_000186.4c.907C>T: p.Arg303TrpPM2, BP4VUSMissenseHeteroSNoUnknownNovel **
CACNA1F NM_001256789.3c.4471C>T: p.Arg1491TerPVS1, PP5, PM2, PP3PNonsenseHemiADNoMaternalNovel **
OFT-00045EoHMNYSTAGMUS AND RETINAL DYSTROPHY PAX6 NM_001258462.3c.262A>G: p.Ser88GlyPS2, PM1, PM2, PP2, PP3PMissenseHeteroADYesDe novoNovel **
OFT-00275EoHM- COL2A1 NM_001844.5c.1783delC: p.Ala595LeufsTer34PVS1, PS2, PM2, PP3PFrameshiftHeteroADYesDe novoNovel **
OFT-00332EoHM- ZNF644 NM_201269.3c.1366A>T: p.Thr456SerPM2VUSMissenseHeteroADYesMaternalNovel **
CRYBB3 NM_004076.5c.547G>T: p.Glu183 *PM2, PP3VUSNonsenseHeteroADYesMaternalNovel **
LRP5 NM_002335.4c.263A>G: p.Lys88ArgPM2VUSMissenseHeteroADYesMaternalNovel **
OFT-00343EoHM- OPA1 NM_130837.3c.1294G>A: p.Val432IlePM1, PM2, PP2, PP3, PP5LPMissenseHeteroADYesPaternalStewart et al., 2008 [32]; Yu-Wai-Man et al., 2011 [33]
OFT-00191EoHM- COL11A1 NM_001854.4c.2900G>T: p.Gly967ValPM2, PP1, PP3LPMissenseHeteroADYesPaternalNovel **
OFT-00391EoHMASTIGMATISM CRYGC NM_020989.4c.179G>A: p.Arg60GlnPM2, PP2VUSMissenseHeteroSNoUnknownNovel **
RDH5 NM_001199771.2c.683G>A: p.Arg228GlnPM2, PP2, BP4VUSMissenseHeteroSNoUnknownNovel **
OFT-00407EoHMCONE-ROD DYSTROPHY ARL6 NM_177976.3c.362G>A: p.Arg121HisPM2, PM3, PP2, PP3, PP5LPMissenseHomoARYesMaternal and PaternalPatel et al., 2016 [34]; Abouelhoda et al., 2016 [35]
OFT-00429EoHM- MMP9 NM_004994.3c.1270C>A: p.Arg424SerPM2, BP4VUSMissenseHeteroSNoUnknownNovel **
IGF1R NM_000875.5c.3784A>C: p.Ile1262LeuPM2, PP3VUSMissenseHeteroSNoUnknownNovel **
OFT-00436EoHM- MMP10 NM_002425.3c.497-2A>GPP3, BS1VUSSplicingHeteroADYesMaternalNovel **
OFT-00453EoHMRETINAL DYSTROPHY AND PERSISTENT FETAL VASCULATURE RIGHT EYE COL2A1 NM_001844.5c.157C>T: p.Arg53TrpPM2, PP2, PP3VUSMissenseHeteroSNoUnknownNovel **
TRPM1 NM_001252020.1c.3618C>G: p.Phe1206LeuPM2VUSMissenseHeteroSNoUnknownNovel **
OFT-00463EoHM- EPHA2 NM_004431.5c.308G>A: p.Arg103HisPM2, PP3VUSMissenseHeteroSNoUnknownNovel **
OFT-00474EoHM- MERTK NM_006343.3c.2264G>A: p.Arg755HisPM2, PP3VUSMissenseHeteroARYesMaternalNovel **
OFT-00490EoHM- COL11A1 NM_001854.4c.1021G>C: p.Glu341GlnPM2VUSMissenseHeteroSNoUnknownNovel **
TRPM1 NM_001252020.1c.4550C>T: p.Thr1517MetPM2, BP4VUSMissenseHeteroSNoUnknownNovel **
OFT-00493EoHM- CRYGA NM_014617.4c.287A>G: p.Asp96GlyPM2, BP4VUSMissenseHeteroSNoUnknownNovel **
OFT-00506EoHM- ZNRF3 NM_001206998.2c.2221G>A: p.Glu741LysPM2, BP4VUSMissenseHeteroADYesUnknownNovel **
OFT-00533EoHM- SCO2 NM_001169111.1c.334C>T: p.Arg112TrpPM2, PP5VUSMissenseHeteroSNoUnknownJiang et al., 2015 [36]
OFT-00546EoHM- LAMA2 NM_000426.4c.6880G>T: p.Val2294LeuPM2, PP3VUSMissenseHeteroARYesPaternalNovel **
OFT-00554EoHM- SCO2 NM_001169111.1c.341G>A: p.Arg114HisPS3, PM2, PP3, PP5LPMissenseHeteroADYesMaternal or PaternalTran-Viet et al., 2013 [37]; Pacheu-Grau et al., 2015 [38]; Kars et al., 2021 [39]
OFT-00559EoHMNYSTAGMUS NDP NM_000266.4c.313_314delGCinsTT: p.Ala105LeuPM1, PM2, PM5, PS1, PP2, PP3PDeletion/InsertionHemiSNoUnknownNovel **
OFT-00568EoHM- PEX1 NM_000466.3c.3250A>G: p.Met1084ValPM2VUSMissenseHeteroSNoUnknownNovel **
OFT-00586EoHMRETINAL DYSTROPHY LEFT EYE MMP1 NM_002421.4c.1389G>A: p.Trp463TerPP3, BS1VUSNonsenseHeteroSNoUnknownNovel **
OFT-00590EoHM- COL11A1 NM_001854.4c.1570C>T: p.Arg524TrpPM2, PP3LPMissenseHeteroSNoUnknownNovel **
OFT-00601EoHM- GPR143 NM_000273.3c.47C>A: p.Ala16GluPM2, PP2, PP3, BP6VUSMissenseHemiX-linkedYesMaternalNovel **
OFT-00630EoHM- CRYBA1 NM_005208.5c.190C>T: p.Arg64TrpPM2, PP3VUSMissenseHeteroSNoUnknownNovel **

P, pathogenic; LP, likely pathogenic; VUS, variants of unknown significance; Hemi, hemizygous; Hetero, heterozygous; Homo, homozygous; AR, autosomal recessive; R, recessive; AD, autosomal dominant; S, sporadic; ACMG, American College of Medical Genetics and Genomics. * ACMG Criteria in Appendix B, Table A1/** Not previously reported in the literature.

Of the 11 variants classified as pathogenic and likely pathogenic, two families had an affected variant in COL2A1 and another two had an affected variant in COL11A1, while the rest had an affected variant in TRPM1, CACNA1F, PAX6, OPA1, ARL6, SCO2 and NDP (Figure 5). The rest of the variants were classified as VUS and were found in TIMP2, COL9A1, CEP290, PCDH15, VDR, KCNV2, CFH, CACNA1F, COL2A1, ZNF644, CRYBB3, COL11A1, CRYGC, RDH5, IGF1R, MMP10, EPHA2, MERTK, CRYGA, ZNRF3, LAMA2, SCO2, MMP1 and CRYBA1. A number of genes with variants classified as VUS were found in two families (e.g., GPR143, LRP5, PEX1 and MMP9) and in three families (e.g., TRPM1) (Figure 6).
Figure 5

Representation of genes with pathogenic and likely pathogenic variants and their proportion.

Figure 6

Representation of genes with variants of unknown significance and their proportion.

Considering zygosity, 40 of the variants found were heterozygous (87%), whereas only one variant was homozygous (2%) and five were hemizygous (11%).

3. Discussion

In this study, we performed a mutational analysis of Spanish patients diagnosed with EoHM implementing a customized NGS panel containing 419 genes related to ophthalmological disorders with a suspected genetic cause. The use of an NGS panel strategy rather than whole exome sequencing as a first approach for the genetic study is in response to the need for a less expensive method that can provide efficient analysis with a low rate of incidental findings.

3.1. Genes Related to Isolated EoHM

As previously mentioned, a few genes are related to non-syndromic EoHM, such as SCO2 and ZNF644. Two patients (from families OFT-00533 and OFT-00554) in our cohort showed previously reported variants in gene SCO2 (OMIM:604272) [36,37,38,39], which encodes a copper chaperone essential for the formation of cytochrome c oxidase (COX), the last enzyme in the respiratory electron transport chain in the mitochondria [36]. The exact mechanism of myopia development associated with COX deficiency specifically is currently unclear, but several studies, such as the 2013 study by Tran-Viet et al. [36,37,40,41], have detected various mutations in gene SCO2 that have been considered pathogenic or likely pathogenic for high or extreme myopia (>30 diopters). In contrast, Piekutowska-Abramczuk et al. (2016) [42] indicated that heterozygous pathogenic variants in this gene are not associated with high-grade myopia in either humans or mice. Considering the contradictory published data, more studies on the involvement of SCO2 in the development of EoHM are needed to determine whether the variants reported in the patients are actually the cause of the phenotype or just a risk factor whose further development is affected by the environment. In our cohort, we confirmed that the variants are just a risk factor and not the cause, given that the proband of family OFT-00554 carried the same heterozygous variants as their healthy parents. Another gene related to non-syndromic autosomal dominant EoHM is ZNF644 (OMIM:614159), a zinc finger transcription factor expressed in the retina and the retinal pigment epithelium. The protein’s biological function has not been identified. As a transcription factor, however, it might regulate genes involved in eye development, triggering a mutant protein able to modify the axial elongation of the eye globe and cause EoHM [41,43]. Numerous studies have reported variants in this gene in non-syndromic EoHM [4,37,40,43,44]. We found one previously unpublished variant classified as VUS according to the American College of Medical Genetics and Genomics (ACMG) guidelines. The proband of this family (OFT-00332) had inherited the variant from their mother, who apparently did not have a pathogenic ocular phenotype, which suggests that this gene might present incomplete penetrance.

3.2. Genes Related to Inherited Retinal Diseases

Inherited retinal dystrophies are sometimes associated with EoHM, which might be the first isolated sign at presentation. Of the 46 variants found in our cohort, ten were found in six genes associated with inherited retinal degeneration (based on the Retinal Information Network [RetNet]) (21.7%, 10/46): TRPM1 (OMIM:603576), CACNA1F (OMIM:300110), KCNV2 (OMIM:607604), MERTK (OMIM:604705), RDH5 (OMIM:601617) and ARL6 (OMIM:608845). We reported 4 variants in TRPM1, a gene associated with congenital stationary night blindness (CSNB), a genetically and clinically heterogeneous disease that manifests as non-progressive nyctalopia and with an electronegative full-field electroretinogram. Our cohort had one patient (from family OFT-00074) with heterozygous compound variants in this gene who presented with nystagmus, esotropia and EoHM. The patient underwent an electroretinogram, which showed moderate-severe disease in the peripheral retina, mild-moderate disease in the central retina and an electronegative result for the bilateral scotopic response, which suggests a functional disorder of the bipolar cells. According to Miraldi Utz et al. (2018), patients presenting EoHM, strabismus, nystagmus and a variant in this gene should undergo full-field electroretinography, given that a considerable proportion of these patients might not present nyctalopia at the start and that the procedure could help diagnose CSNB [26]. In addition, two more VUS were reported, in families OFT-00453 and OFT-00490. Another gene associated with the same phenotype of CSNB is CACNA1F, a gene present in the X chromosome and related to Aland Island disease and cone-rod dystrophy. Wutz et al. (2002) mentioned the possibility of hemizygous variants in this gene causing a phenotype of CSNB with EoHM as one of their most common features [21,45,46]. Our study had two families (OFT-00155 and OFT-00097) with hemizygous variants and a phenotype of EoHM and nystagmus. For family OFT-00155, the variants were maternally inherited, and the proband had a brother with the same phenotype who also presented this variant. One patient from family OFT-00391 had a variant in RDH5, a gene expressed in the retinal pigmented epithelium and involved in the retinoid cycle, the metabolic pathway that regenerates the visual chromophore following light exposure [22,47]. The phenotype related to variants in this gene is fundus albipunctatus, a form of CSNB [48]. Although the patient did not have retinopathy, this gene was established in 2013 as a susceptibility gene for refractive error and myopia [18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50]. Patients from three families with a phenotype of EoHM and retinal dystrophy had variants in KCNV2 (OFT-00092), MERTK (OFT-00474) and ARL6 (OFT-00407), genes with a phenotype of retinal cone dystrophy in the case of KCNV2 and retinitis pigmentosa in the other two cases. KCNV2 has EoHM as one of its ocular features. In the case of MERTK and ARL6 where EoHM was not reported, however, this manifestation might be a second consequence of the genetically determined retinal dystrophy.

3.3. Genes Related to Vitreoretinal Inherited Diseases

Regarding the association between EoHM and vitreoretinal inherited diseases, Marr et al. (2001), showed an even higher association between HM and systemic and other ophthalmological conditions, taking into account that they did not consider an exclusion criterion the presence of a syndromic phenotype as an exclusion criteria, as we did in our study. Out Of the 112 probands, the authors found that only 8% had non-syndromic HM, 54% had an underlying systemic association, and the remaining 38% remaining had further HM-related ocular problems associated with HM [17]. Other studies, such as that performed by Logan et al. (2004) analyzed the genetic results of children with EoHM diagnosed before 10 years of age. Fifty-six percent of the children presented with simple HM, 25% were diagnosed with inherited retinal dystrophies and amblyopia, and 19% were diagnosed with an HM-related systemic disorder [51]. Based on these results, the RetNet genes associated with vitreoretinal inherited diseases with syndromic manifestations should be included for patients with EoHM, such as COL9A1 (OMIM:120210), COL2A1 (OMIM:120140), COL11A1 (OMIM:120280), CEP290 (OMIM:610142), PCDH15 (OMIM:605514), LRP5 (OMIM:603506), PEX1 (OMIM:602136), CFH (OMIM:134370), OPA1 (OMIM:605290) and NDP (OMIM:300658). Fifteen percent of the reported variants in our study were in three collagen genes (COL2A, COL9A1 and COL11A1), divided into four pathogenic and likely pathogenic variants and three VUS in OFT-00181(whose variant was inherited from the affected mother), OFT-00191 (from the affected father), OFT-00209, OFT-00275, OFT-00453, OFT-00490 and OFT-00590. These genes are included in the collagen superfamily of proteins that have an essential role in the structural and mechanical properties of tissues and, more specifically, in the connective tissue [52,53]. If we consider only the variants found in COL2A1 and COL11A1, the percentage of mutations in these two genes in our cohort was 13%, which is slightly higher than the 5% reported by Sun et al. in 2015 [54]. This result can be explained by the size of the authors’ cohort (298 probands), which can cause the percentage of collagen genes to decrease when variants appear in other genes. The authors also used whole exome sequencing analysis, which can result in more variants in different genes. These three genes are considered to cause Stickler’s syndrome, a connective tissue disorder caused by mutations in collagen genes, which can be inherited as an autosomal dominant disorder if COL2A1, COL11A1 or COL11A2 (OMIM:120290) are affected, or as autosomal recessive if COL9A1, COL9A2 (OMIM:120260) and COL9A3 (OMIM:120270) are affected [55]. This syndrome can manifest as a systemic disease or as a mainly ocular condition. Despite the variability in phenotypic expression that can occur within and among families, the basic features of the disease include abnormal vitreous findings (which is a pathognomonic feature), high myopia in more than 90% of patients [54], orofacial abnormalities, arthropathy and varying degrees of deafness. Stickler’s syndrome is the most common cause of inherited rhegmatogenous retinal detachment, which can lead to severe vision loss. Our study patients were recruited based on the fixed inclusion criteria; therefore, the initial diagnosis was of EoHM, and the finding of the genetic alteration enabled the diagnosis of a possible syndromic disease that had not been previously suspected. A funduscopic examination under sedation was performed on the patients with mutations in one of these three collagen genes, where pathognomonic vitreous alterations for Stickler’s syndrome were found, leading to the assessment of the patients by other specialists. This was the case in our cohort with families OFT-00181 and OFT-00275, in which the genetic diagnosis allowed for a preventive treatment for the existing retinal lesions that could have led to further complications. The importance of an early diagnosis of Stickler’s syndrome relies on closer follow-up by various specialists to evaluate other possible phenotypic disorders, such as facial alterations, cleft palate, elbow hypermobility, femoral head necrosis and valgus knee. Specifically, it allows for a more thorough evaluation by the ophthalmologist to anticipate possible complications and perform preventive treatment to prevent vision loss in these patients. Considering Stickler’s syndrome in patients with HM before 10 years of age is therefore highly relevant, even if it appears to be the only manifestation, given that it could be the presenting symptom [55,56]. Other syndromes with EoHM included in the ocular phenotype are Marfan syndrome and homocystinuria [57,58]. There are other cases in which EoHM is the secondary feature, as is the case of the proband patient from family OFT-00559 who had a phenotype of EoHM and nystagmus and a pathogenic variant in gene NDP that encodes the norrin protein, a secretory growth factor that regulates retinal angiogenesis [59]. The reported phenotypes related to this gene are Norrie disease, Coats disease and X-linked exudative vitreoretinopathy. The overlap between the clinical features complicates the diagnosis. It is therefore important to determine the age at onset, hearing difficulties, central nervous system abnormalities and the family history when performing diagnosis and genetic counseling [60]. In this case, the family history helped with the diagnosis, given that the proband had two cousins already diagnosed with Norrie disease. The examination under anesthesia after the genetic results showed avascular areas of the retina that required laser treatment. Knowledge of the presence of this mutation enables a more thorough retinal examination and preventive treatment that, having been missed, could have resulted in retinal detachment or further visual loss. In the case of this family, EoHM was a consequence of a genetically determined retinal disease. In this study, one patient from family OFT-00177 with EoHM and retinal dystrophy had two VUS, one in CEP290 (a gene related to Bardet-Biedl syndrome, Meckel syndrome, Joubert syndrome and Senior-Løken syndrome) and the other in PCDH15 (a gene responsible for Usher syndrome). Despite the fact that these two genes do not have a phenotype of high myopia, Wan et al. (2018) reported CEP290 and PCDH15 as novel candidate genes of myopia pathogenesis [61]. Young et al. (2006) reported that PCDH15 is included in a novel locus for high-grade myopia [60]. Families OFT-00178 and OFT-00332 had variants in gene LRP5 that are related to syndromes without ocular features and exudative vitreoretinopathy. Chen et al. (2018) observed the presence of a synonymous variant in this gene as pathological and the cause of EoHM presented by their patient. The authors suggested that although the variant does not alter the amino acid chain, the altered nucleotide can modify the secondary structure of the protein and can influence protein holding and gene expression [50]. PEX1 is a gene whose variants are related to defects in peroxisome biogenesis. In our cohort, two families (OFT-00223 and OFT-00568) had VUS in this gene. Poll-The et al. (2004) indicated that variants in this gene can produce numerous phenotypes, EoHM being one common feature present in their patients [4,62]. Another gene of interest is CFH. Basal laminar drusen is the only ocular phenotype reported with a mutation in CFH, but variants can also produce complement factor H deficiency or hemolytic uremic syndrome. In the last few years, various researchers have tried to link EoHM to changes in CFH. In 2021, García-Gen et al. established the key role of CFH in the development of myopic disease [63]. In our study, there was a variant in this gene in OFT-00097. Previous studies have proven the relationship between alterations in OPA1 and high myopia [17,64]. However, OPA1 is known for its relevance in autosomal dominant optic atrophy (ADOA), which is the most common form of hereditary optic neuropathy. In fact, OPA1 mutations are responsible for approximately 90% of cases [64]. The absence of a normal OPA1 protein results in abnormal mitochondrial cristae, the release of cytochrome c and apoptosis [65]. In our cohort, 1 family (OFT-00343) had a likely pathogenic mutation in this gene, with two sisters affected and no reported phenotype for the parents. The variant was inherited from the father. Variable expressivity and incomplete penetrance were found in this gene, which could be why the variant was also found in the father, who did not have a reported phenotype [66]. Chen S et al. (2007) observed a family with ADOA, a novel OPA1 mutation, and a higher frequency of EoHM [50]. Nevertheless, the presence of EoHM in one family member without ADOA and OPA1 challenged the assumption that this mutation induced EoHM. ADOA is known to induce a thinning of the retinal nerve fiber layer and of the ganglion cell layer, inducing a reduction in total macular thickness [67]. Li C et al. (2005) observed the same results in a family with ADOA and hearing loss who presented with myopia; however, it was not possible to demonstrate that EoHM was a direct consequence of the mutation of this gene [65].

3.4. Other Genes

In contrast to the above, there were a few genes reported in our study that are not clearly considered to cause EoHM or retinal dystrophy but could be related to the onset of EoHM. Given that EoHM is characterized by scleral thinning, we studied another family of proteins: matrix metalloproteinases (MMPs). In this case, we found VUS in the three genes responsible for MMPs: MMP1 (OMIM:120353), MMP9 (OMIM:120361) and MMP10 (OMIM:185260) in families OFT-00223, OFT-00429, OFT-00436 and OFT-00586. In the case of family OFT-00436, the variant was inherited from the affected mother. The relevance of studying this family of proteins relies on their involvement in organizing the tissue, given that the proteins are responsible for the degradation of collagen and other extracellular matrix components. The structural organization and constant remodeling of the sclera is highly dependent on the activity of the fibroblast, which is the major extracellular matrix-producing cell [68]. Among these proteins, MMP1, MMP2 (OMIM:120360), MMP3 (OMIM:185250), MMP9 (gelatinase B) and MMP14 (OMIM:600754) have been shown to be expressed in human sclera. These MMPs are therefore potentially responsible for scleral remodeling [59]. MMP2, the most studied sclera metalloproteinase, causes scleral collagen degradation when it increases its activity [69]. Given that the increase in myopia in highly myopic patients is almost always associated with an increase in AL, a thinning of the sclera occurs, mainly at the posterior pole. The most relevant consequence is the potential formation of a posterior staphyloma, an area in which the thin sclera becomes ectatic. Even without staphyloma, when the sclera of a highly myopic patient is compared with that of a non-myopic patient, the highly myopic sclera is up to 50% thinner [68]. Due to this constant remodeling and thinning of the sclera, changes in the myopic fundus increase as patients age [70]. When considering only those patients in our study younger than 12 years at the time of examination, only 5% (2/37) presented with a posterior staphyloma, 11% (4/37) presented with peripapillary atrophy and 38% (14/37) presented with diffuse chorioretinal atrophy. These findings are significantly different from those of studies in older patients, such as that by Gozum et al., which showed posterior staphylomas in 23.6% of cases and peripapillary crescents in 66.5% [71], results that agree with those of Jagadeesh et al. (2020), who observed a higher prevalence of myopic funduscopic changes in older patients [72]. These findings are consistent with the constant corneal remodeling and thinning performed by these MMPs. The variation in these MMP genes’ expression in the sclera can lead to greater susceptibility to increased axial elongation of the eye [73]. According to Yue et al. (2020), this increase in AL is related to an excessive degradation and reduced synthesis of the scleral extracellular matrix [74]. The authors found a positive correlation between MMP2 levels in the aqueous humor and AL, which supports the hypothesis that misregulation of this protein might be responsible for a higher degree of scleral remodeling and therefore increased AL. However, the authors found no correlation between plasma MMP levels and AL, supporting the hypothesis of a more local alteration of MMPs in the sclera. The models used by David et al. (1997) indicated that the mechanical stress on the retina and choroid during eye movements is significantly higher in larger eyes than smaller eyes [75]. According to an in vitro study by Shelton et al. (2006), mechanical strain stimulates MMP2 activation by scleral fibroblasts, which contributes to scleral extracellular matrix degeneration, scleral thinning and possible ocular ectasia [76,77]. Other studies, however, such as that by Schache et al. (2012) with an Australian cohort and the one by Nakanishi et al. (2010) with a Japanese cohort, found no association between mutations in MMP1, MMP2, MMP3, MMP8 (OMIM:120355), MMP9, MMP10, MMP11 (OMIM:185261), MMP13 and EOHM [73,78]. The development of myopia has been associated with a mean reduction in TIMP2 (OMIM:188825) mRNA expression, a variant of which was present in family OFT-00209. The activity of MMP2 and TIMP2 is correlated to increased MMP2 activity over a critical point, inducing inhibition of TIMP2 activity, thereby favoring collagen degradation [69]. A study by Leung et al. (2011) analyzed data from an adult Han Chinese population and observed that MMP2, TIMP2 and TIMP3 (OMIM:188826) genes were not associated with high myopia in their cohort [69]. However, in a study by Zhuang et al. (2014) measuring MMP2, TIMP2 and TGFB2 (OMIM:190220) levels in vitreous samples from patients who underwent vitrectomy, the MMP2/TIMP2 ratio was significantly higher in the vitreous samples from the EoHM group than from those of the control group. MMP activity was also significantly higher in the vitreous samples from the EoHM group than in those of the control group [79,80]. From these studies, we can deduce that the elevated MMP/TIMP ratio and MMP activity could play a role in the pathogenesis of human high myopia. However, given that studies that have analyzed the relevance of MMP2, TIMP2 and TIMP3 in blood samples have shown no differences between patients with EoHM and controls, further studies are needed to evaluate whether the importance of MMPs and TIMPs relies on changes on a more local level. Patients with EoHM appear to have more lens changes [81,82]. The lens is a transparent ellipsoid organ located in the anterior segment of the eye. Due to the refractive medium of the core, the lens is responsible for the full range of vision [82]. Although the mechanism of myopia progression has been published [83,84], lens changes in highly myopic eyes and their molecular pathogenesis are still unknown [85,86]. In recent years, numerous studies have been conducted to demonstrate that lens overgrowth is related to myopia [87], resulting in a new hypothesis: the lens diameter of a highly myopic eye might be larger than that of an emmetropic eye [87]. For the increased lens diameter, authors have suggested the continuous production and accumulation of structural proteins, mainly crystallins (which include three families: α, β and γ), given that they account for 90% of these proteins. Previous studies have reported a decrease in the soluble expression of α-crystallins in lenses of patients with high myopia [88,89]. Zhu et al. (2021) [82] suggested that changes in β and γ-crystallin should also be related to the development of EoHM. The authors reported that the increase in these proteins might be due to an increase in the expression of genes in these two families but might also be produced by the activation of MAF transcription factor that activates crystallin proteins downstream. Considering the potential relationship between changes in β and γ-crystallin expression and EoHM, we observed four VUS in four genes (CRYBB3 (OMIM:123630), CRYGC (OMIM:123680), CRYGA (OMIM:123660) and CRYBA1 (OMIM:123610) in four families OFT-00332, OFT-00391, OFT-00493 and OFT-00630, which have not been previously published. Another of the EoHM-related genes is GPR143 (OMIM:300808), which is expressed in the retinal pigment epithelium and is associated with the development of albinism and nystagmus [90]. We found two VUS in these genes: one in a patient with EoHM (OFT-00601) and the other in a patient with EoHM and nystagmus (OFT-00155). In these two probands, the variant was inherited from the mother, who was also affected. We found one variant in the VDR (OMIM:601769) gene in OFT-00223, which had already been reported as a phenotype of vitamin D resistance but is considered a risk factor for developing EoHM [91,92,93]. LAMA2 (OMIM:156225) is considered to produce muscular dystrophy with very few ocular features. Laminins are structural proteins that are the main components of the extracellular matrix, whose changes in its composition in the sclera are related to an AL alteration. Specifically, laminin alpha 2 is expressed in the sclera and optic nerve, is present in extraocular muscles during development and can act as a guide for retinal ganglion cell growth. Kiefer et al. (2013) and Cheng et al. (2013) reported that this gene can be considered one of the multiple factors that act in the development of myopia [22,94,95]. In our study, family OFT-00546 had a variant in LAMA2. Another gene related to AL abnormalities is ZNRF3 (OMIM: 612062) [69], a protein involved in the Wnt signaling pathway; family OFT-00506 had a variant in this gene. A patient from family OFT-00463 had a variant in EPHA2 (OMIM:176946), a gene related to age-related cortical cataracts. This phenotype was reported to have EoHM as an ocular feature [4,96]. Considering that the patient was 57 years old, this gene could be responsible for the EoHM, with no signs of cataract at present. A patient from family OFT-00045 had a variant in PAX6 (OMIM:607108), the paired box 6, which is considered a master gene for eye development. The gene’s best-known phenotype is aniridia. According to a meta-analysis by Tang et al. (2014 and 2018), there is a suggestive association between PAX6 and extreme/high myopia but not lower grade myopia, although further studies are necessary for validation [97,98]. PAX6 plays an important role in controlling eye globe growth, according to Bilbao-Malavé et al. (2020), and has been shown to have a suggestive association with EoHM, as demonstrated in a meta-analysis that included studies mainly performed on Asian populations [99,100,101]. Lastly, a patient from family OFT-00429 presented a mutation in IGF1R, which encodes for IGF1R, a transmembrane receptor tyrosine kinase responsible for mediating proliferation and protection from apoptosis. A study by Wang et al. observed no relationship with mutations in IGF1R or IGF1 in the development of EoHM in a Chinese population [102]. However, further studies are necessary to rule out IGFR1 mutations as a cause of EoHM, given that a study performed on chickens by Penha et al. (2011) showed that overminus lens therapy, and therefore hyperopic defocus, influenced the expression of insulin receptor and IGF1R receptor in the retinal pigment epithelium. The shift of the focal plane behind the photoreceptor layer triggers substantially increased eye growth [102,103]. As mentioned above, high myopia may be related to the microenvironment as well as genetics. In 2017, Fedor et al. demonstrated that serum zinc and copper levels in patients with EoHM were lower than those of the control group. As these two factors are antioxidant elements, the existence of an oxidant/antioxidant imbalance in patients with EoHM is suggested [104]. In 2020, Mérida et al., compared antioxidant-oxidant status in aqueous humor samples of myopic and non myopic patients. They measured the total antioxidant capacity (TAC) as an indicator of the overall capacity to neutralize ROS and the total concentration of nitrite/nitrates. TAC levels were lower in the highly myopic group which indicates that the level of ROS had increased and that the aqueous humor of these patients was undergoing oxidative stress. They also demonstrated that the lower TAC was directly related with the grade of myopia, which suggests that knowing the concentration of these factors could help preventing and treating these myopic patients before severe complications appear [105]. Mérida et al. also found an increase in the total nitrite levels, the end product of nitric oxide metabolite, in highly myopic patients. This parameter is considered as one of the origins of oxidative stress damage and reduced antioxidant capacity, but nowadays it has been suggested to play a role as a nitric oxide reservoir that produces nitric oxide in hypoxia conditions. Finally, it is known to act as an eye modulator in developing myopia, acting in ocular growth, intraocular pressure regulation and retinal vascular development. Despite this, it is not easy to understand the results because of the neurodegenerative/neuroprotective role of the nitric oxide. In our panel, we found variants in five genes that have been linked to oxidative stress (ZNF644, TIMP2, MMP1, MMP9 and MMP10). Another four genes of the panel, HGF, RBP3, MMP2 and MMP3, have been related to this factor even though the patients did not show any variant in them [105,106,107,108]. Further studies are needed to clarify the effect of these parameters, but oxidative stress may help explain the development of myopia in some patients [105] as it is associated with other eye diseases such as cataract, glaucoma, age-related macular degeneration and dry eye syndrome [108,109]. EoHM may be associated with more severe ocular complications such as choroidal neovascularization (CNV) affecting 5–10% of these patients. Pathological myopia is the main cause of onset of CNV in patients under 50 years of age [110]. The presence of a higher concentration of vascular endothelial growth factor (VEGF) as an angiogenic factor could make the patients’ eyes more likely to develop vascular diseases. This finding may be the explanation of the increase of CNV cases in patients with EoHM. In addition, three genes of our panel were related to vascular diseases such as ARSM2, HTRA1 and CFH, in which a variant was found in family OFT-00097 [111]. In those patients where an aqueous or vitreous humor sample is available, it would be interesting, in future studies, to measure the VEGF concentration to study this correlation [15]. As previously mentioned, the hypothesis of our study is based on is the potential greater involvement of genetics in the development of EoHM than of LoHM. Zhou et al. (2018) compared the mutation detection rate in a study of LoHM with one of their previous studies, considering the possible involvement of RetNet genes. The authors found a genetic cause in only 7.2% of the patients with LoHM and in 23.8% of those with EoHM [3,13], a result similar to the 21% (9/43) of our study patients with pathogenic and likely pathogenic variants in RetNet genes. This provides further genetic evidence that EoHM differs genetically from LoHM and that genetic testing of patients with EoHM is necessary to find the cause of the disease.

4. Materials and Methods

The combined ophthalmological and genetic approach was performed by the Ophthalmogenetics Multidisciplinary Unit at La Paz University Hospital, Madrid, Spain, according to the tenets of the Declaration of Helsinki and was approved by the ethics committee. A total of 49 patients from 43 unrelated families aged 4–74 years were recruited for the study, as well as both parents of the proband for those cases in which it was possible. After informing and obtaining written consent from the proband and from the patients’ parents or their guardians, a peripheral venous blood sample was collected to isolate the genomic DNA from leukocytes. The inclusion criteria were as follows: (1) bilateral myopia with a refraction error ≥−6 diopters in at least one eye with onset before 10 years of age; (2) absence of cataracts; (3) absence of corneal disease or other ophthalmological diseases that produce secondary high myopia; and (4) absence of syndromic phenotype. Patients were recruited according to phenotype and inclusion/exclusion criteria and then underwent a genetic analysis. A complete ophthalmological evaluation of the proband was performed, which included best corrected visual acuity, refraction before and after cycloplegia, funduscopic examination, AL measurement, retinography images and OCT. Genomic DNA was isolated from leukocytes in peripheral venous blood samples in the preanalytical area of our institute using the commercial Chemagic Magnetic Separation Module I (Chemagen, PerkinElmer, Waltham, MA, USA). DNA concentrations were measured by spectrofluorometer quantification using a NanoDrop ND-1000 Spectrophotometer (ThermoFisher Scientific, Waltham, MA, USA). Paired-end libraries were created using 1 µg of genomic DNA with KAPA HyperPrep Kit (Roche, NimbleGen, Inc., Pleasanton, CA, USA) and hybridization with a KAPA HyperCapture Reagent Kit (Roche, NimbleGen, Inc., USA). The panel was captured using OFT-v3-1 design (Appendix A) and sequencing was done on the Illumina HiSeq 4000 platform (Illumina, Inc., San Diego, CA, USA). The data produced were aligned and mapped to the human genome reference sequence (GRCh37/hg19). The strategy for screening mutations was based on the use of NGS, implementing a customized panel (OFTv3.1) including 419 genes related to ophthalmological disorders with a suspected genetic cause (Appendix A), including 93 genes and regions related to EoHM pathogenesis or within EoHM-related loci: ACAN, ACTC1, ADORA2A, AP3B2, BLID, C3orf26, CD55, CFH, CHRM1, CHRM2, CHRM3, CHRM4, CHRM5, COL18A1, COL1A1, COL2A1, CRISP3, CRYAB, CTNND2, CYP17A1, CYP19A1, EGR1, FGF10, FGF2, FHIT, FMOD, FOS, FSCB, GC, GJD2, HGF, HSD17B1, HSD3B1, IGF1, IGF1R, IGF2, IGF2R, IGFBP1, IGFBP3, IGFBP4, INS, INSR, IRS1, JUN, KERA, LAMA1, LAMA2, LUM, LYPLAL1, MET, MIPEP, MMP1, MMP10, MMP2, MMP3, MMP9, NAP1L4, PML, PPFIA2, PROM1, PTCHD2, PTPRR, RAD21, RARB, RASGRF1, RDH8, RSPO1, SCO2, SHISA6, SLC30A10, SNTB1, SRD5A2, TCF4, TCTE1, TGFB1, TGFB2, TGIF1, TIMP1, TIMP2, TIMP3, TOX, UHRF1BP1L, UMODL1, VCAN, VDR, VIP, VIPR2, WNT7B, ZEB2, ZIC2, ZNF644, ZNRF3, ZWINT; chr 1: 219782981-219785408, chr 7: 130561506-130561569, chr 8: 8905955-8906028, chr 8: 9760898-9760982 and chr 10: 59064239-59064319. The OFTv3.1 panel was designed with NimbleDesign software Roche NimbleGen, Inc., Pleasanton, CA, USA): HG19 NCBI Build 37.1/GRCh37, the target bases covered 99.5% and the size was 1,245,179 Kb. The mean horizontal coverage was 99.91%, and the mean sequencing depth per nucleotide was 467. The first analysis was performed by the Institute of Medical and Molecular Genetics (INGEMM) Clinical Bioinformatics team, who developed an analytical algorithm that identifies point polymorphisms (SNP) and insertions and deletions of small DNA fragments inside the capture regions that are included in the NGS panels. The system comprises a sample pre-processing step, alignment of reads to a reference genome, identification and functional annotation of variants, and variant filtering. All these steps employ open tools widely used in the scientific community, as well as proprietary tools. Furthermore, all phases are designed in a robust manner and include statistical parameters that provide information on the status of the process and the convenience of continuing with the analysis. This system allows for the monitoring of the process and the appropriate quality controls to issue a reliable report on the aforementioned variants. Lastly, the system backs up the raw and processed data, which are stored in a database using encrypted and anonymized records to preserve patient confidentiality. The bioinformatics analysis was performed by the Clinical Bioinformatics Unit of the INGEMM center using the following software tools: trimmomatic-0.36, bowtie2-align version 2.0.6, picard-tools 1.141, samtools version 1.3.1, bedtools v2.26 and GenomeAnalysisTK version 3.3-0. The databases employed were dbNSFP version 3.5, dbSNP v151, ClinVar date 20180930, ExAC-1, SIFT ensembl 66, Polyphen-2 v2.2.2, MutationAssessor, release 3, FATHMM, v2.3, CADD, v1.4 and dbscSNV1.1. The second analysis consisted of evaluating the pathogenic clinical significance of the variants found in the patients by employing multiple databases. The first and most extended database is VarSome, which contains an algorithm that uses the 2015 ACMG guidelines [112], based on a combination of previous reports in the literature and computational, functional and population data as reference, providing the classification of the variants as pathogenic, likely pathogenic, VUS, likely benign or benign. Those variants in the proband and other family members classified as pathogenic, likely pathogenic or VUS according to ACMG guidelines were validated using Sanger sequencing or other techniques, if possible. When the variant was fully validated in the proband and the family members, the third part of the analysis consisted of studying the phenotypes related to the gene, to determine whether the variant being studying was the causative variant (Figure 7). To address this, we used the online catalog of human genes and genetic disorders known as the Online Mendelian Inheritance in Man [113], the available literature and specific databases such as RetNet. To check whether the variant had been previously reported, we used the Human Gene Mutation Database Professional.
Figure 7

Diagnostic algorithm for early-onset high myopia. EoHM, early-onset high myopia; CNVs, copy number variants; ACMG, American College of Medical Genetics; NGS, next-generation sequencing; WES, whole exome sequencing; WGS, whole genome sequencing.

5. Conclusions

Eleven families in our study had pathogenic and likely pathogenic variants, 1one family had a variant in SCO2, a gene related to non-syndromic EoHM, three had variants in genes associated with other retinal dystrophies (TRPM1, CACNA1F and ARL6), six had variants in genes related to a syndromic disease that feature retinal dystrophy (COL2A1, COL11A1, OPA1 and NDP) and one had a variant in PAX6 that is not included in any of the groups mentioned but was reported to have a suggestive association with EoHM development. Furthermore, 24 families had VUS, two families with variants in genes related to non-syndromic EoHM (SCO2 and ZNF644) and seven families with variants in genes associated with other retinal dystrophies (TRPM1, CACNA1F, KCNV2, RDH5 and MERTK). These results support the hypothesis previously indicated by other researchers who found 25% and 38% of variants related to this type of ocular disease and who indicated that EoHM could be a secondary consequence of a genetically determined retinal dystrophy. Ten families had variants in genes related to a syndromic disease with retinal dystrophy (COL9A1, CEP290, PCDH15, LRP5, PEX1, CFH, COL2A1 and COL11A1). Genetic analysis of patients with EoHM is relevant to anticipate possible syndromic manifestations and other ophthalmological conditions, especially in cases when the disease is present as a non-typical phenotype. The detection of variants that indicate other than a simple EoHM allow these patients to be managed by multidisciplinary units and thereby perform more global patient care, preventive treatment in those cases where it is possible and providing closer follow-up to prevent vision loss. Lastly, 14 families had at least one variant in genes such as GPR143, TIMP2, VDR, MMP1, MMP9, MMP10, PAX6, CRYBB3, CRYGC, CRYGA, GRYBA1, IGF1R, EPHA2, ZNRF3 and LAMA2. Although these genes are not clearly considered to cause EoHM or retinal dystrophy, the published information could relate them to the onset of EoHM. Further studies are needed to confirm the hypothesis of the involvement of these genes. The genetic alterations for most patients with EoHM have not yet been defined, with the causative variant found in only a small number of patients. The genetic study of this disease is currently focused on evaluating every single gene suspected of being a candidate of EoHM. We found no candidate genes in 23% of the patients, which suggests that whole exome sequencing and whole genome sequencing studies, animal models and other studies are needed to clarify the disease’s genetic cause. Based on the above, we can state that EoHM is a complex disease based on a combination of genetic, environmental and microenvironmental components. We recommend a systematic genetic analysis of patients with EoHM and of their relatives, given that it promotes better management of family members, helping with follow-up, prognosis and genetic counseling.
Table A1

American College of Medical Genetics and Genomics criteria.

CODEDescription
PVS1 Null variant (nonsense, frameshift, canonical ±1 or 2 splice sites, initiation codon, single or multiexon deletion) in a gene where LOF is a known mechanism of disease.
PS1 Same amino acid change as a previously established pathogenic variant regardless of nucleotide change.
PS2 De novo (both maternity and paternity confirmed) in a patient with the disease and no family history.
PS3 Well-established in vitro or in vivo functional studies supportive of a damaging effect on the gene or gene product.
BS1 Allele frequency is greater than expected for disorder.
PM1 Located in a mutational hotspot and/or critical and well-established functional domain (e.g., active site of an enzyme) without benign variation.
PM2 Absent from controls (or at extremely low frequency if recessive) in Exome Sequencing Project, 1000 Genomes Project, or Exome Aggregation Consortium.
PM3 For recessive disorders, detected in trans with a pathogenic variant
PM4 Protein length changes as a result of in-frame deletions/insertions in a non-repeat region or stop-loss variants.
PM5 Novel missense change at an amino acid residue where a different missense change determined to be pathogenic has been seen before.
PP1 Cosegregation with disease in multiple affected family members in a gene definitively known to cause the disease.
PP2 Missense variant in a gene that has a low rate of benign missense variation and in which missense variants are a common mechanism of disease.
PP3 Multiple lines of computational evidence support a deleterious effect on the gene or gene product (conservation, evolutionary, splicing impact, etc.)
PP5 Reputable source recently reports variant as pathogenic, but the evidence is not available to the laboratory to perform an independent evaluation.
BP4 Multiple lines of computational evidence suggest no impact on gene or gene product (conservation, evolutionary, splicing impact, etc.)
BP6 Reputable source recently reports variant as benign, but the evidence is not available to the laboratory to perform an independent evaluation.
  106 in total

1.  Frequent mutations of RetNet genes in eoHM: Further confirmation in 325 probands and comparison with late-onset high myopia based on exome sequencing.

Authors:  Lin Zhou; Xueshan Xiao; Shiqiang Li; Xiaoyun Jia; Qingjiong Zhang
Journal:  Exp Eye Res       Date:  2018-02-14       Impact factor: 3.467

2.  A functional polymorphism at 3'UTR of the PAX6 gene may confer risk for extreme myopia in the Chinese.

Authors:  Chung-Ling Liang; Edward Hsi; Ku-Chung Chen; Yun-Ru Pan; Yung-Song Wang; Suh-Hang Hank Juo
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-06-01       Impact factor: 4.799

3.  Proinflammatory status in the aqueous humor of high myopic cataract eyes.

Authors:  Xiangjia Zhu; Keke Zhang; Wenwen He; Jin Yang; Xinghuai Sun; Chunhui Jiang; Jinhui Dai; Yi Lu
Journal:  Exp Eye Res       Date:  2015-03-22       Impact factor: 3.467

4.  Association of IGF1 and IGF1R gene polymorphisms with high myopia in a Han Chinese population.

Authors:  Pu Wang; Xiaoqi Liu; Zimeng Ye; Bo Gong; Yin Yang; Dingding Zhang; Xuemei Wu; Hong Zheng; Yuanfeng Li; Zhenglin Yang; Yi Shi
Journal:  Ophthalmic Genet       Date:  2016-04-04       Impact factor: 1.803

5.  Expanding the clinical, allelic, and locus heterogeneity of retinal dystrophies.

Authors:  Nisha Patel; Mohammed A Aldahmesh; Hisham Alkuraya; Shamsa Anazi; Hadeel Alsharif; Arif O Khan; Asma Sunker; Saleh Al-Mohsen; Emad B Abboud; Sawsan R Nowilaty; Mohammed Alowain; Hamad Al-Zaidan; Bandar Al-Saud; Ali Alasmari; Ghada M H Abdel-Salam; Mohamed Abouelhoda; Firdous M Abdulwahab; Niema Ibrahim; Ewa Naim; Banan Al-Younes; Abeer E AlMostafa; Abdulelah AlIssa; Mais Hashem; Olga Buzovetsky; Yong Xiong; Dorota Monies; Nada Altassan; Ranad Shaheen; Selwa A F Al-Hazzaa; Fowzan S Alkuraya
Journal:  Genet Med       Date:  2015-09-10       Impact factor: 8.822

6.  OPA1 mutations and mitochondrial DNA haplotypes in autosomal dominant optic atrophy.

Authors:  Jian Han; Angela J Thompson-Lowrey; Alyson Reiss; Vladimir Mayorov; Haomiao Jia; Valerie Biousse; Nancy J Newman; Michael D Brown
Journal:  Genet Med       Date:  2006-04       Impact factor: 8.822

7.  Association between MMP/TIMP Levels in the Aqueous Humor and Plasma with Axial Lengths in Myopia Patients.

Authors:  Yu Yue; Yu-Wen Hsiao; Ji-Bo Zhou
Journal:  Biomed Res Int       Date:  2020-06-10       Impact factor: 3.411

8.  OPA1 in multiple mitochondrial DNA deletion disorders.

Authors:  J D Stewart; G Hudson; P Yu-Wai-Man; E L Blakeley; L He; R Horvath; P Maddison; A Wright; P G Griffiths; D M Turnbull; R W Taylor; P F Chinnery
Journal:  Neurology       Date:  2008-11-25       Impact factor: 9.910

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

Authors:  Qiao Fan; Virginie J M Verhoeven; Robert Wojciechowski; Veluchamy A Barathi; Pirro G Hysi; Jeremy A Guggenheim; René Höhn; Veronique Vitart; Anthony P Khawaja; Kenji Yamashiro; S Mohsen Hosseini; Terho Lehtimäki; Yi Lu; Toomas Haller; Jing Xie; Cécile Delcourt; Mario Pirastu; Juho Wedenoja; Puya Gharahkhani; Cristina Venturini; Masahiro Miyake; Alex W Hewitt; Xiaobo Guo; Johanna Mazur; Jenifer E Huffman; Katie M Williams; Ozren Polasek; Harry Campbell; Igor Rudan; Zoran Vatavuk; James F Wilson; Peter K Joshi; George McMahon; Beate St Pourcain; David M Evans; Claire L Simpson; Tae-Hwi Schwantes-An; Robert P Igo; Alireza Mirshahi; Audrey Cougnard-Gregoire; Céline Bellenguez; Maria Blettner; Olli Raitakari; Mika Kähönen; Ilkka Seppala; Tanja Zeller; Thomas Meitinger; Janina S Ried; Christian Gieger; Laura Portas; Elisabeth M van Leeuwen; Najaf Amin; André G Uitterlinden; Fernando Rivadeneira; Albert Hofman; Johannes R Vingerling; Ya Xing Wang; Xu Wang; Eileen Tai-Hui Boh; M Kamran Ikram; Charumathi Sabanayagam; Preeti Gupta; Vincent Tan; Lei Zhou; Candice E H Ho; Wan'e Lim; Roger W Beuerman; Rosalynn Siantar; E-Shyong Tai; Eranga Vithana; Evelin Mihailov; Chiea-Chuen Khor; Caroline Hayward; Robert N Luben; Paul J Foster; Barbara E K Klein; Ronald Klein; Hoi-Suen Wong; Paul Mitchell; Andres Metspalu; Tin Aung; Terri L Young; Mingguang He; Olavi Pärssinen; Cornelia M van Duijn; Jie Jin Wang; Cathy Williams; Jost B Jonas; Yik-Ying Teo; David A Mackey; Konrad Oexle; Nagahisa Yoshimura; Andrew D Paterson; Norbert Pfeiffer; Tien-Yin Wong; Paul N Baird; Dwight Stambolian; Joan E Bailey Wilson; Ching-Yu Cheng; Christopher J Hammond; Caroline C W Klaver; Seang-Mei Saw; Jugnoo S Rahi; Jean-François Korobelnik; John P Kemp; Nicholas J Timpson; George Davey Smith; Jamie E Craig; Kathryn P Burdon; Rhys D Fogarty; Sudha K Iyengar; Emily Chew; Sarayut Janmahasatian; Nicholas G Martin; Stuart MacGregor; Liang Xu; Maria Schache; Vinay Nangia; Songhomitra Panda-Jonas; Alan F Wright; Jeremy R Fondran; Jonathan H Lass; Sheng Feng; Jing Hua Zhao; Kay-Tee Khaw; Nick J Wareham; Taina Rantanen; Jaakko Kaprio; Chi Pui Pang; Li Jia Chen; Pancy O Tam; Vishal Jhanji; Alvin L Young; Angela Döring; Leslie J Raffel; Mary-Frances Cotch; Xiaohui Li; Shea Ping Yip; Maurice K H Yap; Ginevra Biino; Simona Vaccargiu; Maurizio Fossarello; Brian Fleck; Seyhan Yazar; Jan Willem L Tideman; Milly Tedja; Margaret M Deangelis; Margaux Morrison; Lindsay Farrer; Xiangtian Zhou; Wei Chen; Nobuhisa Mizuki; Akira Meguro; Kari Matti Mäkelä
Journal:  Nat Commun       Date:  2016-03-29       Impact factor: 14.919

10.  Exome sequencing study of 20 patients with high myopia.

Authors:  Ling Wan; Boling Deng; Zhengzheng Wu; Xiaoming Chen
Journal:  PeerJ       Date:  2018-09-17       Impact factor: 2.984

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