Abstract
Objectives: The aim of this study was to report novel ABCA4 variants detected in a cohort of 259 patients with ABCA4 retinopathy with the intention of improving the diagnostic accuracy for ABCA4 retinopathy and expanding its genetic spectrum. Methods: We retrospectively reviewed 259 patients with ABCA4 retinopathy, comprising 190 patients from the Oxford Cohort and 69 patients from other centres with a clinical diagnosis of ABCA4 retinopathy who were referred for genetic testing. Patients with a phenotype consistent with ABCA4 retinopathy who had a novel ABCA4 variant were included. Phenotyping in the Oxford Cohort included clinical evaluation, retinal imaging, and electrodiagnostic testing. Genetic testing was performed using next-generation sequencing (NGS) and Sanger sequencing. In silico analysis was used to investigate the pathogenicity of novel variants. Results: Eleven novel variants were detected in 12/259 patients, with one variant detected in two unrelated patients. These variants included three missense, four truncating, three splice-site variants, and one exon deletion. The variants were distributed across eight exons and three introns of ABCA4. In silico analysis and phenotype correlation supported the potential pathogenicity of the novel variants. Phenotypes ranged from mild isolated flecks with preserved retinal architecture to extensive chorioretinal degeneration. Conclusions: Despite over 2200 ABCA4 variants being reported to date, a further 11 novel ABCA4 variants were identified in 259 patients using NGS panel-based sequencing and MLPA. The variants were located across the whole ABCA4 gene, emphasising the necessity to sequence the whole gene. Our reporting of these variants expands the known genetic spectrum of ABCA4 retinopathy, contributing to accurate diagnosis in this patient group and the identification of suitable patients for recruitment to potential therapeutic interventions.
Keywords: ABCA4, novel variants, Stargardt disease, panel-based NGS, ABCA4 retinopathy
1. Introduction
Stargardt disease (STGD1, OMIM# 248200) is the most common childhood onset macular dystrophy and the most prevalent inherited retinal disease, with a worldwide prevalence estimated to be 1/6578, with a carrier rate of 2.5% in the European subpopulation [1]. STGD1 is an autosomal recessive condition caused by pathogenic variants in the ABCA4 gene [2]. Characteristic features include the presence of flecks, increased lipofuscin levels, macular atrophy, and sparing of the peripapillary region [3,4]. However, the disease is phenotypically heterogeneous, and a number of features described in this condition are encompassed by the term ABCA4 retinopathies, representing a phenotypic spectrum which includes: bull’s eye maculopathy [5,6], cone-rod dystrophy [7], choriocapillaris atrophy [8], and rapid onset chorioretinal atrophy [9]. This impacts a clinician’s ability to diagnose this condition and emphasises the need for molecular genetic testing to accurately diagnose ABCA4 retinopathy patients.
Providing a molecularly confirmed diagnosis is further complicated by the highly polymorphic nature of the ABCA4 gene, and to date, over 2200 ABCA4 variants have been reported (www.lovd.nl/ABCA4, accessed on 10 April 2026). The majority of ABCA4 variants are missense changes, which can make it difficult to determine whether the identified variants are truly causative, and this raises the need for genotypic and phenotypic characterisation in large patient cohorts to fully investigate the effects of suspected disease-causing variants. Documenting novel variants is important since obtaining a molecularly confirmed diagnosis is essential for recruitment to clinical trials and consideration of future therapeutic interventions. In this study, we report the genotypes and phenotypes of 12 patients in whom novel variants in ABCA4 were identified in a cohort of 259 ABCA4 retinopathy patients who had their genetic testing at the Oxford Clinical Genetics laboratory.
2. Materials and Methods
2.1. Patient Recruitment
Patients with at least one variant in ABCA4 detected between November 2009 and October 2021 were identified by the Oxford University Hospitals Medical Genetics Laboratory. This included patients who were reviewed and received care at the Oxford Eye Hospital, designated as the “Oxford Cohort” (190 patients), and those referred for genetic testing from other centres within the United Kingdom and abroad (69 patients), accounting for 259 patients. All patients included were described as having an ABCA4 retinopathy phenotype and had at least one ABCA4 variant. Complex alleles were investigated using familial segregation studies, as available, and, in cases where segregation was not possible, the literature was reviewed to identify if patients’ detected variants were previously reported to be in a complex allele. Segregation analysis was available for only 92 families and confirmed biallelic status in 93/259 patients in this study. The study adhered to the tenets of the Declaration of Helsinki and was approved by the Central Oxford Research Ethics Committee and the Research and Development Department of the Oxford Radcliffe Hospitals NHS Trust (RetGene 08/H0302/96).
2.2. Phenotypic Analysis
All patients included in the Oxford Cohort were reviewed in a specialist Ophthalmic Genetics Clinic at the Oxford Eye Hospital, where a detailed medical history was taken, and a clinical eye examination was performed. Best corrected visual acuity (BCVA) was recorded either on Snellen or LogMAR charts, and all Snellen measurements were converted to LogMAR for the purpose of statistical analysis. A BCVA of counting fingers (CF) and hand movements (HM) was converted to 2.5 logMAR and 3.0 logMAR, respectively. Retinal imaging (after pupil dilation with tropicamide 1% and phenylephrine 2.5%) included colour fundus photography (TopCon), wide-field retinal imaging (Optomap A10022; Optos Ltd., Dunfermline, UK), short-wavelength fundus autofluorescence (Spectralis; Heidelberg Engineering, Heidelberg, Germany) (488 nm), and spectral-domain optical coherence tomography (SD-OCT) (SD-OCT; Spectralis, Heidelberg Engineering, Heidelberg, Germany). Electrodiagnostic testing, where indicated, was carried out according to the International Society for Clinical Electrophysiology of Vision (ISCEV) [10]. The 69 patients from other centres were all referred with an ABCA4 retinopathy clinical diagnosis.
2.3. Genetic Testing and Mutation Analysis
DNA was extracted from peripheral venous blood samples. Sequencing was performed according to the most appropriate method available at the Oxford Medical Genetics Laboratory at the time at which the patients presented. Enrichment of the ABCA4 gene was achieved using a customised HaloPlex enrichment system kit (Agilent Technologies, Santa Clara, CA, USA) designed to capture the coding exons and 10 bp flanking introns [11]. Between 2019 and 2022, samples were prepared using Twist Human Core Exome [12]. Next-generation sequencing (NGS) was carried out using an Illumina MiSeq instrument (Illumina, San Diego, CA, USA), using a MiSeq v3 kit as per the manufacturer’s instructions [11]. Multiplex ligation-dependent probe amplification (MLPA) analysis was also carried out to identify deletions and duplications. MLPA was run as standard for any patient referred with a clinical diagnosis of STGD1 or when specific sequencing for ABCA4 was requested in patients. This was performed for patients who originally had Sanger sequencing of ABCA4 (pre 2013) or Haloplex (2013–2019). For Haloplex-based testing, the number of reads mapped to the exon was used to calculate the dosage quotient (DQ) and internal reference exons were used if they had an average coverage >50 and up to 60 DQs were calculated for each exon. CNV calling was carried out as variants were identified using a custom-designed application called Dosage Quotient for Massive Parallel Sequencing (DosQuoMPS), and the CNVs were confirmed using MLPA. However, MLPA analysis was not performed on patients who had sequencing using the TWIST protocol, unless it was required to confirm a possible CNV call from the bioinformatics pipeline [11]. More detailed information on sequencing in our cohort is available in a previous publication by our group, published by Mital et al. [11].
Chromosome 1 position was based on the GRCh37/hg19 build, and nucleotide and protein numbering were based on the ABCA4 transcript NC_000001.10. Protein alignment was based on the protein transcript NP_000341.2. In silico analysis was performed using three prediction methods to predict the pathogenicity of the identified variants. Missense variants were investigated using PolyPhen2 (http://genetics.bwh.harvard.edu/pph2/, accessed on 10 April 2026) [13], Sorting Intolerant from Tolerance (SIFT) (http://sift.jcvi.org/, accessed on 10 April 2026) [14], and MutationTaster (http://www.mutationtaster.org/, accessed on 10 April 2026 ) [15]. The combined annotation-dependent duplication (CADD) score for all variants was also calculated (https://cadd.gs.washington.edu, accessed on 10 April 2026) [16]. Splice defects were investigated using SpliceAI (https://spliceailookup.broadinstitute.org, accessed on 10 April 2026) [17]. The Exome Aggregation Consortium (ExAC) and gnomAD databases (https://gnomad.broadinstitute.org, accessed on 10 April 2026) were used to check variant frequency. The LOVD (www.lovd.nl/ABCA4, accessed on 10 April 2026) and ClinVar (https://www.ncbi.nlm.nih.gov/clinvar/, accessed on 10 April 2026) databases were reviewed to investigate whether the detected variants were previously reported as pathogenic in other patients with ABCA4 retinopathy. Variants were considered novel if they were not previously published in association with a clear, detailed phenotype of ABCA4 retinopathy. Of note, the c.365_366insCA p.(Gly123fs*32), c.1100-2A>T, c.4936G>T p.(Asp1646Tyr), and c.1855A>T p.(Ile619Phe) were included as being novel in this study despite being reported in ClinVar because they had not been clearly shown to be linked to a STGD1 phenotype.
The evolutionary conservation of novel missense variants was investigated by aligning amino acid sequences from different species using Clustal Omega (https://www.ebi.ac.uk/Tools/msa/clustalo/, accessed on 10 April 2026). Accession numbers were: human (Homo sapiens) NP_000341.2; chimpanzee (Pan troglodytes) XP_009423955.3; cow (Bos taurus) NP_776646.1; rat (Rattus norvegicus) NP_001101191.1; mouse (Mus musculus) NP_031404.1; chicken (Gallus gallus) XP_015146189.1; frog (Xenopus tropicalis) NP_001011033.1; zebrafish (Danio rerio) ENSDARP00000123162. Amino acid residues were considered highly conserved if they were preserved across all species or were only different in one species of either fish or reptiles, moderately conserved if they were different in 2 to 5 species, and not conserved if they were different in more than 5 species or at least one primate. The criteria for determining conservation were based on previously described methodology [18].
All variants were classified according to the American College of Medical Genetics and Genomics (ACMG) standards. The Exome Aggregation Consortium (ExAC) and GnomaAD databases (https://gnomad.broadinstitute.org, accessed on 10 April 2026) were used to check variant frequency. Variants with a minor allele frequency of >0.1% were excluded.
Genotypes of patients with biallelic ABCA4 variants were classified based on the three genotype groups reported in the ProgStar study; Genotype A patients carried two or more severe/null variants, Genotype B patients carried one severe/null variant and one missense or in-frame insertion/deletion, and Genotype C patients carried two or more missense or in-frame insertion/deletion variants (see Table 1). For the purpose of this variant grading tool, variants were considered to be severe if they produced a truncated protein, were splice-site variants, or were synonymous/missense variants that have been shown to affect splicing in the literature [19].
Table 1.
Genotype classification based on the ProgStar study.
| Genotype Group | Description |
|---|---|
| A | Two or more severe/null variants |
| B | One severe/null variant and at least one missense or in-frame insertion/deletion |
| C | Two or more missense or in-frame insertion/deletion |
3. Results
Two hundred and fifty-nine patients (190 from the Oxford Eye Hospital and 69 referred from other centres) that met our inclusion criteria for a diagnosis of ABCA4 retinopathy were identified. Within this group of patients, 11 novel variants were identified in 12 biallelic patients (4 males and 8 females). This was from a cohort of 190 patients in whom 171 different ABCA4 variants were identified. Segregation studies were only available for three of the families with novel variants.
Phenotypic data were available for the eight patients with novel variants in the Oxford Cohort; no further data were available other than the clinical diagnosis for the external referrals. The age of onset was available for six patients, and there were two asymptomatic patients who were incidentally identified to have flecks during routine examination (see Table 2). Mean age of onset was 36.3 +/− 9.2 years, ranging from 27 to 56 years. Information on symptoms was available for eight patients; the most frequently reported symptom was blurred central vision in 5/8 patients, and other symptoms included photophobia in 1/8, delayed dark adaptation in 2/8, abnormal colour vision in 1/8, and photopsia in 1/8 (see Table 2). The mean baseline visual acuities were 0.56 +/− 0.55 logMAR for the right eye and 0.61 +/−0.74 logMAR for the left eye. Multi-modal imaging revealed a range of phenotypes from flecks only with preserved retinal architecture to extensive chorioretinal degeneration. Of note, patient 8 was initially incorrectly diagnosed with AMD at age 62 before being reviewed in the Ophthalmic Genetics Clinic. The phenotypes on FAF and OCT imaging are illustrated in Figure 1, and detailed information on the clinical characteristics and EDT results is summarised in Table 2, and their genetic test results are summarised in Table 3.
Table 2.
Clinical and phenotypic characteristics of patients with novel variants. This table shows summary data on patients’ demographics (sex, age, and ethnicity), clinical characteristics (self-reported age of onset and visual acuity), and electrodiagnostic test results. Electrodiagnostic test results were graded based on the criteria described by Lois et al. [20]. Novel variants are shown in bold. CF: counting fingers; NP: not performed.
| ID | Genotype | Gender | Ethnicity | Age of Onset | Baseline VA OD OS |
Age at Baseline | Follow-Up VA OD OS |
Age at Follow-Up | Symptoms | Electrodiagnostic Testing | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Patient 3 |
c.3095del, p.(Gly1032Glufs*50) c.3113C>T, p.(Ala1038Val) |
F | European | Asymp (56) | 0.00 | −0.10 | 46 | −0.18 | 0.02 | 59 | Asymptomatic | NP |
| Patient 4 |
c.58_66+1del c.5882G>A, p.(Gly1961Glu) |
M | South Asian | 32 | 0.58 | 0.68 | 35 | NP | NP | - | Blurred vision, photopsia | Normal rod and cone ERG (group 1) |
| Patient 6 |
c.1979_1994delins21 c.4685T>C, p.(Ile1562Thr) |
F | European | 27 | 0.00 | 0.00 | 30 | NP | NP | - | Delayed dark adaptation | NP |
| Patient 7 |
c.4936G>T, p.(Asp1646Tyr) c.5461-10T>C |
M | European | 40 | 1.06 | 1.00 | 49 | NP | NP | - | Blurred vision | NP |
| Patient 8 |
c.3607+5G>C c.6079C>T, p.(Leu2027Phe) |
M | European | 40 | 1.36 | CF | 68 | 0.48 | CF | 76 | Blurred vision, photophobia, delayed dark adaptation, abnormal colour vision | Absent PERG, relatively normal rod ERG and normal cone ERG (group 1) |
| Patient 9 |
c.2598_2599insTGGA, p.(Thr867Trpfs*18) c.4634G>A, p.(Ser1545Asn) |
F | European | Asymp (33) | 0.06 | 0.02 | 33 | 0.00 | 0.00 | 35 | Asymptomatic | Normal PERG, rod ERG, cone ERG and EOG. mfERG with 2 rings with slightly smaller amplitudes. (Relatively normal) |
| Patient 10 |
c.6278T>C, p.(Leu2093Pro) c.5882G>A, p.(Gly1961Glu) |
F | South Asian | 32 | 0.84 | 0.7 | 49 | NP | NP | - | Blurred vision | NP |
| Patient 12 |
c.1855A>T, p.(Ile619Phe) c.5882G>A, p.(Gly1961Glu) |
F | South Asian | 30 | NP | NP | - | NP | NP | - | Blurred vision | NP |
Figure 1.
Retinal imaging of patients with novel variants. (A–H) show fundus autofluorescence (FAF) (upper panel) and optical coherence tomography (OCT) (lower panel) imaging of the right eyes in patients with novel variants. Novel variants are shown in bold. (A) In patient 3, FAF imaging showed flecks in the posterior pole, and OCT imaging showed relative preservation of the fovea with a hyper-reflective temporal perifoveal lesion that corresponded to flecks and temporal disruption of the ellipsoid zone (EZ). (B) In patient 4, FAF imaging showed reduced foveal AF surrounded by a ring of raised AF and OCT imaging showed central macular atrophy. (C) In patient 6, FAF imaging showed perifoveal flecks, and OCT imaging showed relatively preserved central retinal architecture with material arising from the RPE (corresponding to the flecks on FAF), causing elevation of the EZ. (D) In patient 7, FAF imaging showed a central reduction in AF signal surrounded by an area of increased AF associated with flecks and flecks in the superior aspect of the posterior pole. OCT imaging showed macular atrophy. (E) In patient 8, FAF imaging showed a central reduction in AF signal corresponding to macular atrophy and flecks within the posterior pole, and OCT imaging showed macular atrophy. (F) In patient 9, FAF imaging showed flecks in the posterior pole, and OCT imaging showed relatively preserved retinal architecture. (G) In patient 10, FAF imaging showed a central reduction in AF signal surrounded by a ring of increased AF and flecks in the posterior pole, and OCT imaging showed macular atrophy. (H) In patient 12, FAF imaging showed decreased foveal AF surrounded by a ring of raised AF and OCT imaging showed an foveal optical gap with loss of the EZ.
Table 3.
Genetic testing results in patients with novel ABCA4 variants. The genotypes of patients with novel variants are shown together with an analysis of the effect of the variant, their location along the ABCA4 gene and protein, results of familial segregation studies, and genotype severity based on ProgStar criteria [19].
| Sex | Novel Variant | Protein | Mutation Effect | Position | Domain | Segregation | Other Variants | Protein | Position | Domain | Segregation | Genotype Severity | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Patient 1 | M | del exon 7 | - | Exon deletion | Ex 7 | ECD1 | Affected Sister | Exon 7 del | - | Exon 7 | ECD1 | Affected Sister | A |
| Patient 2 | F | c.365_366insCA | p.(Gly123fs*32) | Frameshift | Ex 4 | ECD1 | NP | c.634C>T | p.(Arg212Cys) | Exon 6 | ECD1 | NP | B |
| Patient 3 | F | c.3095del | p.(Gly1032Glufs*50) | Frameshift | Ex 21 | NBD1 | NP | c.3113C>T | p.(Ala1038Val) | Exon 21 | NBD1 | NP | B |
| Patient 4 | M | c.58_66+1del | - | Splicing | Int 1 | TMD1 | NP | c.5882G>A | p.(Gly1961Glu) | Exon 42 | NBD2 | NP | B |
| Patient 5 | F | c.1100-2A>T | Splicing | Splicing | Int 8 | ECD1 | NP | c.3259G>A | p.(Glu1087Lys) | Exon 22 | NBD1 | NP | B |
| Patient 6 | F | c.1979_1994delins21 | p.(Val660fs) | Frameshift | Ex 14 | TMD1 | NP | c.4685T>C | p.(Ile1562Thr) | Exon 33 | ECD2 | NP | B |
| Patient 7 | M | c.4936G>T | p.(Asp1646Tyr) | Missense | Ex 35 | ECD2 | NP | c.5461-10T>C | Splicing | Intron 38 | TMD2 | NP | B |
| Patient 8 | M | c.3607+5G>C | Splicing | Splicing | Int 24 | NBD1 | NP | c.6079C>T | p.(Leu2027Phe) | Exon 44 | NBD2 | NP | B |
| Patient 9 | F | c.2598_2599insTGGA | p.(Thr867Trpfs*18) | Frameshift | Ex 17 | NBD1 | Father | c.4634G>A | p.(Ser1545Asn) | Exon 31 | ECD1 | Mother | B |
| Patient 10 | F | c.6278T>C | p.(Leu2093Pro) | Missense | Ex 45 | NBD2 | NP | c.5882G>A | p.(Gly1961Glu) | Exon 42 | NBD2 | NP | C |
| Patient 11 | F | c.3607+5G>C | Splicing | Splicing | Int 24 | NBD1 | Mother | c.3210_3211dup | p.(Ser1071Cysfs*13) | Exon 22 | NBD1 | Father | A |
| Patient 12 | F | c.1855A>T | p.(Ile619Phe) | Missense | Ex 13 | ECD1 | NP | c.5882G>A | p.(Gly1961Glu) | Exon 42 | NBD2 | NP | C |
ECD: Exocytoplasmic domain; F: female; M: male; NBD: nucleotide-binding domain; NP: not performed; TMD: transmembrane domain.
The novel variants included four truncating, three splice-site, three missense variants and one exon deletion. One novel splicing variant, c.3607+5G>C, was identified in 2 unrelated patients (Table 2). These variants were distributed in eight exons and three introns (Table 4). Analysis of the location of the missense variants within the ABCA4 protein revealed that one was located in exocytoplasmic domain 1 (ECD1), one in ECD2, and one in nucleotide-binding domain 2 (NBD2). The novel variants and their corresponding positions along the ABCA4 protein are shown in Figure 2.
Table 4.
Pathogenicity analysis of novel ABCA4 variants. This table summarises the results of in silico analysis and allele frequencies in publicly available databases for the novel variants that were detected in 12 patients. The table shows the results of the in silico analysis using three different programmes, SIFT, PolyPhen2 and MutationTaster. Allele frequencies in the gnomAD and ExAC databases of novel ABCA4 variants detected in the Oxford ABCA4 retinopathy cohort are shown, as well as the CADD score. ACMG: American College of Medical Genetics; CADD: combined annotation-dependent duplication; SIFT: Sorting Intolerant from Tolerance; NR: not reported; VUS: variant of uncertain significance.
| Novel Variant | Protein | CADD Score | Mutation Taster | SIFT | PolyPhen2 | SpliceAI Score | ACMG | Allele Frequency GnomAD | Allele Frequency ExAC | |
|---|---|---|---|---|---|---|---|---|---|---|
| Patient 1 | del exon 7 | - | - | - | - | - | - | Likely Pathogenic (PVS1_mod; PM2; PP4; PS4_sup) |
- | - |
| Patient 2 | c.365_366insCA | p.(Gly123fs*32) | 27.8 | - | - | - | 0.00 | Pathogenic (PVS1; PM2) |
NR | NR |
| Patient 3 | c.3095del | p.(Gly1032Glufs*50) | 34 | Disease causing | - | - | 0.11 | Pathogenic (PVS1; PM2) |
NR | NR |
| Patient 4 | c.58_66+1del | Splicing | 33 | - | - | - | 1.00 | Likely Pathogenic (PVS1_mod; PM2; PP4; PM3_sup) |
NR | NR |
| Patient 5 | c.1100-2A>T | Splicing | 34 | - | - | - | 0.97 | Pathogenic (PVS1; PM2) |
NR | NR |
| Patient 6 | c.1979_1994delins21 | p.(Val660fs) | - | - | - | - | - | Pathogenic (PVS1; PM2) |
NR | NR |
| Patient 7 | c.4936G>T | p.(Asp1646Tyr) | 24.3 | Disease causing | Damaging | Benign | 0.07 | VUS (PM2; PM3; PP4) |
NR | NR |
| Patient 8 & 11 | c.3607+5G>C | Splicing | 22.7 | - | - | - | 0.64 | VUS (PM2; PM3; PP4) |
NR | NR |
| Patient 9 | c.2598_2599insTGGA | p.(Thr867Trpfs*18) | 33 | - | - | - | 0.05 | Pathogenic (PVS1; PM2) |
NR | NR |
| Patient 10 | c.6278T>C | p.(Leu2093Pro) | 31 | Disease causing | Damaging | Probably damaging | 0.02 | VUS (PM2; PP3; PP4) |
NR | NR |
| Patient 12 | c.1855A>T | p.(Ile619Phe) | 23.2 | Disease causing | Tolerated | Benign | 0.02 | VUS (PM2; PP3; PM3_sup) |
0.0004% | NR |
Figure 2.
Topological model of the ABCA4 protein showing the distribution of 11 novel variants. Schematic diagram of the ABCA4 protein showing the location of novel variants. The novel variants are distributed across the entirety of the ABCA4 protein. Adapted from [21,22] and created with BioRender.com. ECD: exocytoplasmic domain; NBD: nucleotide-binding domain; TMD: transmembrane domain.
In silico analysis of all novel variants is summarised in Table 4. Truncating variants were all considered to be pathogenic since they were expected to result in nonsense-mediated decay (NMD). SpliceAI predicted a splicing defect for c.58_66+1del, c.1100-2A>T, and c.3607+5G>C. Segregation analysis in patient 11 showed that the c.3607+5G>C variant was in trans with c.3210_3211dup p.(Ser1071Cysfs*13), as it was detected in her unaffected carrier mother, and c.3607+5G>C was also detected in patient 8, who was unrelated to patient 11; however, segregation analysis was not available for patient 8. This variant was classified as a VUS based on the ACMG criteria.
Of the three novel missense variants, splicing defects were not predicted in any, but two of these were predicted to be pathogenic by at least two out of three programmes (SIFT, PolyPhen2, MutationTaster). Analysis of these variants using Clustal Omega (https://www.ebi.ac.uk/Tools/msa/clustalo/, accessed on 10 April 2026) showed that the two variants p.(Ile619Phe) and p.(Leu2093Pro) were completely conserved across species. The p.(Asp1646Tyr) variant was moderately conserved across eight different species (Figure 3). There were two siblings who were homozygous for a deletion in exon 7, which was detected using MLPA testing.
Figure 3.
Sequence alignment of ABCA4 across species for novel variants in ABCA4 retinopathy patients. Assessment of evolutionary conservation of three novel missense variants detected in the 259 patients showing these affect two highly conserved amino acid residues p.(Ile619Phe), and p.(Leu2093Pro), and one moderately conserved amino acid residue p.(Asp1646Tyr). The preserved amino acids are highlighted in yellow and different amino acids are highlighted in green.
4. Discussion
Diagnosing ABCA4 retinopathy can be challenging due to its highly variable phenotype, which makes genetic testing an important aspect of patient care. This study contributes to this endeavour by providing detailed genotype data, together with clinical phenotypes in 12 patients in whom 11 novel variants were detected.
We observed that the novel variants were located across the entire ABCA4 gene, which is consistent with the current literature on the lack of mutation hot spots in ABCA4 [23,24], and accounted for 11/171 (6.4%) of the different ABCA4 variants detected in a cohort of 259 patients which included 190 patients from the Oxford Eye Hospital and 69 patients referred for genetic testing from other centres. Previous reports in large cohorts have shown a higher percentage of novel ABCA4 variants, for example, 20.4% in ProgStar [19], 33% in German [25], 21.9% in Spanish [26], and 23.3–62.5% in Chinese ABCA4 retinopathy cohorts, which is a higher proportion of novel variants compared to our cohort [27,28]. The difference in this proportion of novel variants could be attributed to ethnicity: ProgStar recruited from nine centres in four different countries, Fujinami, Strauss, Chiang, Audo, Bernstein, Birch, Bomotti, Cideciyan, Ervin, Marino, Sahel, Mohand-Said, Sunness, Traboulsi, West, Wojciechowski, Zrenner, Michaelides and Scholl [19], and a different ABCA4 genetic landscape is known from Chinese studies [27,28,29,30]. Moreover, the Oxford Cohort primarily comprised European patients, and given that most ABCA4 studies have been conducted in patients of this ethnicity, the majority of variants in this population might already be known [31]. Another explanation for the lower percentage of novel variants identified in our study patients might be that a significant proportion of variants have already been detected by improved technology and bioinformatics, which have increased detection rates.
Of the 11 novel variants, four were truncating, three were missense, three affected splice sites, and one was a structural variant. Determining the pathogenicity of missense variants can be complex, which leads to a significant proportion of these variants being classified as a variant of uncertain significance (VUS). The potential pathogenicity of these three variants was supported by in silico analysis predictions. Indeed, the c.1855A>T p.(Ile619Phe) variant Phenylalanine has a larger side chain with an aromatic benzene ring, potentially disrupting the local hydrophobic environment and protein conformation, thus interfering with the TM2 domain structure and overall protein stability. The LOVD contains the c.1856T>A p.(Ile619Asn) variant of uncertain significance and the c.1851_1860del p.(Ile619Alafs*27) pathogenic variant involving the same amino acid. The c.4936G>T p.(Asp1646Tyr) variant results in a change from the negatively charged aspartate to the larger, uncharged, and aromatic tyrosine in the ECD2 domain. This substitution could potentially alter the local charge distribution and hydrogen binding patterns, thus impacting the protein’s interaction with other molecules. The introduction of the bulkier aromatic side chain could also affect the structural stability of the protein. In c.6278T>C p.(Leu2093Pro), leucine is substituted for proline, which is smaller, more flexible, more polar, and introduces a rigid cyclic structure. This rigid structure can potentially disrupt secondary structures such as alpha helices, significantly affecting the local protein structure and potentially leading to misfolding or altered interactions within NBD2.
The detection of a deletion of exon 7 using MLPA sequencing highlighted the need to investigate structural variants, even though they are currently thought to only account for approximately 1% of pathogenic ABCA4 variants [23]. Complementing this, Khan et al. found that single-molecule molecular inversion probes (sm-MIPs) based sequencing successfully identified 11 novel structural variants in their ABCA4 retinopathy patients, where initially only one ABCA4 variant was detected, thus establishing sm-MIPs as an effective technique for detecting structural variants as small as 411 bp [32].
This study had several limitations that were primarily related to its retrospective design and reliance on available data. Complete phenotypic data were not available for all patients, meaning that information on demographics, clinical characteristics, and retinal imaging was incomplete for some patients. Familial segregation was not available for a significant proportion of patients. Additionally, the use of NGS-based sequencing means that pathogenic deep intronic variants would not be detected, and the pathogenicity of variants is based on in silico analysis programmes. The retrospective nature of this study meant that genetic testing techniques were not uniform; for example, MLPA was not routinely offered, which may have led to underdetection of structural variants. All of which are frequently encountered in genotype–phenotype correlation studies in IRD.
5. Conclusions
In conclusion, we detected 11 novel ABCA4 variants in 12 patients with an ABCA4 retinopathy from 12 unrelated families. The pathogenicity of missense and splice-site variants was investigated using in silico analysis, segregation studies (where available), and the association with the phenotype consistent with ABCA4 retinopathy. Based on the ACMG criteria, seven were classified as pathogenic and four as VUS. The variants were located across the entire ABCA4 gene, which is consistent with a lack of mutation hot spots in ABCA4 and emphasises the need to sequence the whole ABCA4 gene. MLPA analysis identified an exon deletion, which demonstrates the need to consider structural variants when sequencing ABCA4. Our study reports novel ABCA4 variants with varying levels of evidence for their pathogenicity, which contributes to expanding the spectrum of known pathogenic variants in ABCA4. This will aid in the accurate diagnosis of patients with ABCA4 retinopathy, which is becoming increasingly important for patient identification for recruitment to potential therapeutic interventions.
Abbreviations
The following abbreviations are used in this manuscript:
| FAF | Fundus autofluorescence |
| CADD | Combined annotation-dependent duplication |
| CNV | Copy Number Variant |
| ECD | Exocytoplasmic domain |
| EDT | Electrodiagnostic testing |
| MLPA | Multiplex ligation-dependent probe amplification |
| NGS | Next-Generation Sequencing |
| NBD | Nucleotide-binding domain |
| NMD | Nonsense-mediated decay |
| SD-OCT | Spectral-domain optical coherent tomography |
| Sm-MIPs | Single-molecule molecular inversion probes |
| Stargardt disease | STGD1 |
| TMD | Transmembrane domain |
| SIFT | Sorting Intolerant from Tolerance |
| ISCEV | International Society for Clinical Electrophysiology of Vision |
Author Contributions
Conceptualization, S.A.-K., S.B., S.H., S.R.D.S. and S.M.D.; methodology, S.A.-K., S.B., S.H., S.R.D.S. and S.M.D.; formal analysis, S.A.-K., S.B., J.Y., S.H., S.R.D.S. and S.M.D.; investigation, S.A.-K., S.B., J.Y., S.H., S.R.D.S. and S.M.D.; data curation, S.A.-K., S.B., M.S., P.C., R.E.M., P.C.I., S.R.D.S. and S.M.D.; writing—original draft preparation, S.A.-K., S.H., S.R.D.S. and S.M.D.; writing—review and editing, S.A.-K., S.B., J.Y., M.S., R.E.M., P.C.I., S.H., S.R.D.S. and S.M.D.; supervision, S.H., S.R.D.S. and S.M.D.; funding acquisition, S.M.D. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
This study adhered to the tenets of the Declaration of Helsinki and was approved by the Essex 2 Research Ethics Committee (RETGENE 08/H0302/96, 4 November 2008).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
Dataset available on request from the authors.
Conflicts of Interest
The authors declare no conflict of interest.
Funding Statement
The Thames Valley and South Midlands Clinical Research Network provided funding support for the clinical aspects of this study. Saoud Al-Khuzaei was supported by a scholarship from the Qatar National Research Fund (GSRA6-1-0329-19010). Jing Yu is supported by funding from the UK Inherited Retinal Disease Consortium Project (UKIRDC) (HMR03950) and the Winstanley Family Donation for Inherited Macular Diseases (HMD00280).
Footnotes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
References
- 1.Hanany M., Rivolta C., Sharon D. Worldwide carrier frequency and genetic prevalence of autosomal recessive inherited retinal diseases. Proc. Natl. Acad. Sci. USA. 2020;117:2710. doi: 10.1073/pnas.1913179117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Allikmets R., Singh N., Sun H., Shroyer N.F., Hutchinson A., Chidambaram A., Gerrard B., Baird L., Stauffer D., Peiffer A. A photoreceptor cell-specific ATP-binding transporter gene (ABCR) is mutated in recessive Starqardt macular dystrophy. Nat. Genet. 1997;15:236–246. doi: 10.1038/ng0397-236. [DOI] [PubMed] [Google Scholar]
- 3.Al-Khuzaei S., Shah M., Foster C.R., Yu J., Broadgate S., Halford S., Downes S.M. The role of multimodal imaging and vision function testing in ABCA4-related retinopathies and their relevance to future therapeutic interventions. Ther. Adv. Ophthalmol. 2021;13:25158414211056384. doi: 10.1177/25158414211056384. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Müller P.L., Gliem M., McGuinnes M., Birtel J., Holz F.G., Charbel Issa P. Quantitative Fundus Autofluorescence in ABCA4-Related Retinopathy -Functional Relevance and Genotype-Phenotype Correlation. Am. J. Ophthalmol. 2021;222:340–350. doi: 10.1016/j.ajo.2020.08.042. [DOI] [PubMed] [Google Scholar]
- 5.Duncker T., Tsang S.H., Lee W., Zernant J., Allikmets R., Delori F.C., Sparrow J.R. Quantitative Fundus Autofluorescence Distinguishes ABCA4-Associated and Non–ABCA4-Associated Bull’s-Eye Maculopathy. Ophthalmology. 2015;122:345–355. doi: 10.1016/j.ophtha.2014.08.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Noupuu K., Lee W., Zernant J., Greenstein V.C., Tsang S., Allikmets R. Recessive Stargardt disease phenocopying hydroxychloroquine retinopathy. Graefes Arch. Clin. Exp. Ophthalmol. 2016;254:865–872. doi: 10.1007/s00417-015-3142-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Simonelli F., Testa F., Zernant J., Nesti A., Rossi S., Rinaldi E., Allikmets R. Association of a homozygous nonsense mutation in the ABCA4 (ABCR) gene with cone-rod dystrophy phenotype in an Italian family. Ophthalmic Res. 2004;36:82–88. doi: 10.1159/000076886. [DOI] [PubMed] [Google Scholar]
- 8.Lee W., Zernant J., Nagasaki T., Tsang S.H., Allikmets R. Deep Scleral Exposure: A Degenerative Outcome of End-Stage Stargardt Disease. Am. J. Ophthalmol. 2018;195:16–25. doi: 10.1016/j.ajo.2018.07.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Tanaka K., Lee W., Zernant J., Schuerch K., Ciccone L., Tsang S.H., Sparrow J.R., Allikmets R. The Rapid-Onset Chorioretinopathy Phenotype of ABCA4 Disease. Ophthalmology. 2018;125:89–99. doi: 10.1016/j.ophtha.2017.07.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Robson A.G., Nilsson J., Li S., Jalali S., Fulton A.B., Tormene A.P., Holder G.E., Brodie S.E. ISCEV guide to visual electrodiagnostic procedures. Doc. Ophthalmol. 2018;136:1–26. doi: 10.1007/s10633-017-9621-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Shah M., Shanks M., Packham E., Williams J., Haysmoore J., MacLaren R.E., Németh A.H., Clouston P., Downes S.M. Next generation sequencing using phenotype-based panels for genetic testing in inherited retinal diseases. Ophthalmic Genet. 2020;41:331–337. doi: 10.1080/13816810.2020.1778736. [DOI] [PubMed] [Google Scholar]
- 12.Fakin A., Robson A.G., Fujinami K., Moore A.T., Michaelides M., Chiang J., Holder G.E., Webster A.R. Phenotype and Progression of Retinal Degeneration Associated with Nullizigosity of ABCA4. Investig. Ophthalmol. Vis. Sci. 2016;57:4668–4678. doi: 10.1167/iovs.16-19829. [DOI] [PubMed] [Google Scholar]
- 13.Adzhubei I.A., Schmidt S., Peshkin L., Ramensky V.E., Gerasimova A., Bork P., Kondrashov A.S., Sunyaev S.R. A method and server for predicting damaging missense mutations. Nat. Methods. 2010;7:248–249. doi: 10.1038/nmeth0410-248. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Ng P.C., Henikoff S. SIFT: Predicting amino acid changes that affect protein function. Nucleic Acids Res. 2003;31:3812–3814. doi: 10.1093/nar/gkg509. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Schwarz J.M., Cooper D.N., Schuelke M., Seelow D. MutationTaster2: Mutation prediction for the deep-sequencing age. Nat. Methods. 2014;11:361–362. doi: 10.1038/nmeth.2890. [DOI] [PubMed] [Google Scholar]
- 16.Kircher M., Witten D.M., Jain P., O’Roak B.J., Cooper G.M., Shendure J. A general framework for estimating the relative pathogenicity of human genetic variants. Nat. Genet. 2014;46:310–315. doi: 10.1038/ng.2892. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Jaganathan K., Kyriazopoulou Panagiotopoulou S., McRae J.F., Darbandi S.F., Knowles D., Li Y.I., Kosmicki J.A., Arbelaez J., Cui W., Schwartz G.B., et al. Predicting Splicing from Primary Sequence with Deep Learning. Cell. 2019;176:535–548.e24. doi: 10.1016/j.cell.2018.12.015. [DOI] [PubMed] [Google Scholar]
- 18.Nassisi M., Mohand-Saïd S., Dhaenens C.M., Boyard F., Démontant V., Andrieu C., Antonio A., Condroyer C., Foussard M., Méjécase C., et al. Expanding the Mutation Spectrum in ABCA4: Sixty Novel Disease Causing Variants and Their Associated Phenotype in a Large French Stargardt Cohort. Int. J. Mol. Sci. 2018;19:2196. doi: 10.3390/ijms19082196. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Fujinami K., Strauss R.W., Chiang J.P., Audo I.S., Bernstein P.S., Birch D.G., Bomotti S.M., Cideciyan A.V., Ervin A.M., Marino M.J., et al. Detailed genetic characteristics of an international large cohort of patients with Stargardt disease: ProgStar study report 8. Br. J. Ophthalmol. 2019;103:390–397. doi: 10.1136/bjophthalmol-2018-312064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Lois N., Holder G.E., Bunce C., Fitzke F.W., Bird A.C. Phenotypic subtypes of Stargardt macular dystrophy-fundus flavimaculatus. Arch. Ophthalmol. 2001;119:359–369. doi: 10.1001/archopht.119.3.359. [DOI] [PubMed] [Google Scholar]
- 21.Tsybovsky Y., Molday R.S., Palczewski K. The ATP-binding cassette transporter ABCA4: Structural and functional properties and role in retinal disease. Adv. Exp. Med. Biol. 2010;703:105–125. doi: 10.1007/978-1-4419-5635-4_8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Molday R.S., Zhong M., Quazi F. The role of the photoreceptor ABC transporter ABCA4 in lipid transport and Stargardt macular degeneration. Biochim. Biophys. Acta. 2009;1791:573–583. doi: 10.1016/j.bbalip.2009.02.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Cremers F.P.M., Lee W., Collin R.W.J., Allikmets R. Clinical spectrum, genetic complexity and therapeutic approaches for retinal disease caused by ABCA4 mutations. Prog. Retin. Eye Res. 2020;79:100861. doi: 10.1016/j.preteyeres.2020.100861. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Al-Khuzaei S., Broadgate S., Foster C.R., Shah M., Yu J., Downes S.M., Halford S. An Overview of the Genetics of ABCA4 Retinopathies, an Evolving Story. Genes. 2021;12:1241. doi: 10.3390/genes12081241. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Birtel J., Eisenberger T., Gliem M., Müller P.L., Herrmann P., Betz C., Zahnleiter D., Neuhaus C., Lenzner S., Holz F.G., et al. Clinical and genetic characteristics of 251 consecutive patients with macular and cone/cone-rod dystrophy. Sci. Rep. 2018;8:4824. doi: 10.1038/s41598-018-22096-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Del Pozo-Valero M., Riveiro-Alvarez R., Blanco-Kelly F., Aguirre-Lamban J., Martin-Merida I., Iancu I.F., Swafiri S., Lorda-Sanchez I., Rodriguez-Pinilla E., Trujillo-Tiebas M.J., et al. Genotype-Phenotype Correlations in a Spanish Cohort of 506 Families with Biallelic ABCA4 Pathogenic Variants. Am. J. Ophthalmol. 2020;219:195–204. doi: 10.1016/j.ajo.2020.06.027. [DOI] [PubMed] [Google Scholar]
- 27.Liu X., Meng X., Yang L., Long Y., Fujinami-Yokokawa Y., Ren J., Kurihara T., Tsubota K., Tsunoda K., Fujinami K., et al. Clinical and genetic characteristics of Stargardt disease in a large Western China cohort: Report 1. Am. J. Med. Genet. C Semin. Med. Genet. 2020;184:694–707. doi: 10.1002/ajmg.c.31838. [DOI] [PubMed] [Google Scholar]
- 28.Jiang F., Pan Z., Xu K., Tian L., Xie Y., Zhang X., Chen J., Dong B., Li Y. Screening of ABCA4 Gene in a Chinese Cohort with Stargardt Disease or Cone-Rod Dystrophy with a Report on 85 Novel Mutations. Investig. Ophthalmol. Vis. Sci. 2016;57:145–152. doi: 10.1167/iovs.15-18190. [DOI] [PubMed] [Google Scholar]
- 29.Hu F.-Y., Li J.-K., Gao F.-J., Qi Y.-H., Xu P., Zhang Y.-J., Wang D.-D., Wang L.-S., Li W., Wang M., et al. ABCA4 Gene Screening in a Chinese Cohort with Stargardt Disease: Identification of 37 Novel Variants. Front. Genet. 2019;10:773. doi: 10.3389/fgene.2019.00773. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Sun Z., Yang L., Li H., Zou X., Wang L., Wu S., Zhu T., Wei X., Zhong Y., Sui R. Clinical and genetic analysis of the ABCA4 gene associated retinal dystrophy in a large Chinese cohort. Exp. Eye Res. 2021;202:108389. doi: 10.1016/j.exer.2020.108389. [DOI] [PubMed] [Google Scholar]
- 31.Mc Clinton B., Corradi Z., McKibbin M., Panneman D.M., Roosing S., Boonen E.G.M., Ali M., Watson C.M., Steel D.H., Cremers F.P.M., et al. Effective smMIPs-Based Sequencing of Maculopathy-Associated Genes in Stargardt Disease Cases and Allied Maculopathies from the UK. Genes. 2023;14:191. doi: 10.3390/genes14010191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Khan M., Cornelis S.S., Pozo-Valero M.D., Whelan L., Runhart E.H., Mishra K., Bults F., AlSwaiti Y., AlTalbishi A., De Baere E., et al. Resolving the dark matter of ABCA4 for 1054 Stargardt disease probands through integrated genomics and transcriptomics. Genet. Med. 2020;22:1235–1246. doi: 10.1038/s41436-020-0787-4. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Dataset available on request from the authors.



