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Novel variants of ABCA4 in Han Chinese families with Stargardt disease

BMC Medical Genetics volume 21, Article number: 213 (2020) Cite this article

Abstract

Background

Stargardt disease (STGD1) is a common recessive hereditary macular dystrophy in early adulthood or childhood, with an estimated prevalence of 1:8000 to 1:10,000. ABCA4 is the causative gene for STGD1. The current study aims at identifying the novel disease-related ABCA4 variants in Han Chinese families with STGD1 using next-generation sequencing (NGS).

Methods

In the present study, 12 unrelated Han Chinese families (19 males and 17 females) with STGD1 were tested by panel-based NGS. In order to capture the coding exons and the untranslated regions (UTRs) plus 30 bp of intronic flanking sequences of 792 genes, which were closely associated with usual ophthalmic genetic disease, we designed a customized panel, namely, Target_Eye_792_V2 chip. STGD1 patients were clinically diagnosed by experienced ophthalmologists. All the detected variants were filtered and analyzed through the public databases and in silico programs to assess potential pathogenicity.

Results

Twenty-one ABCA4 mutant variants were detected in 12 unrelated Han Chinese families with STGD1, containing 14 missense, three splicing, two frameshift, one small deletion, and one nonsense variants. Base on the American College of Medical Genetics (ACMG) guidelines, 8 likely pathogenic and 13 pathogenic variants were determined. The functional consequences of these mutant variants were predicted through in silico programs. Of the 21 mutant variants in ABCA4, two novel coding variants c.3017G > A and c.5167 T > C and one novel null variant c.3051-1G > A were detected in three unrelated probands.

Conclusions

By panel-based NGS, 21 ABCA4 variants were confirmed in 12 unrelated Han Chinese families. Among them, 3 novel mutant variants were found, which further expanded the ABCA4 mutation spectrum in STGD1 patients.

Peer Review reports

Background

ABCA4, mapping to chromosome 1p22.1, encodes the ATP-binding cassette transporter 4, which is a transmembrane protein highly expressed in the cone and rod photoreceptors [1, 2]. This transmembrane protein acts as a flippase and mainly regulates the transmembrane transport of N-retinylidene-phosphatidylethanolamine across the disc membranes in the outer segments of cone and rod. The dysfunction of the ABCA4 protein results in the massive accumulation of A2E, a by-product of the visual cycle, in the retinal pigment epithelium (RPE) as lipofuscin deposits, which induces RPE apoptosis and secondary photoreceptor degeneration [3,4,5,6]. The mutant variants in ABCA4 are mainly responsible for autosomal recessive retinal dystrophies, including Stargardt disease (STGD1; OMIM 248200) [1, 7], retinitis pigmentosa (RP19; OMIM 601718) [8, 9], cone-rod dystrophy (CRD3; OMIM 604116) [10, 11], and early-onset severe retinal dystrophy (OMIM 248200) [12, 13]. According to the Human Gene Mutation Database (HGMD), more than 1200 disease-associated ABCA4 variants are already found in retinopathy, including missense, nonsense, splicing, frameshift, small insertion or deletion, and gross insertion or deletion variants. Among them, approximately 80% of variants in ABCA4 are associated with STGD1.

STGD1 is an inherited macular atrophic disease in childhood or early adulthood, following an autosomal recessive inheritance pattern [12, 14]. It is typically characterized by central visual impairment and macular atrophy [14,15,16,17]. The underlying gene for STGD1 is ABCA4 [1]. In our previous study, we have completed ABCA4 gene screening among a large Chinese population with STGD1 to extend the ABCA4 mutation spectrum and identified three prevalent ABCA4 variants, namely, c.101_106delCTTTAT, c.2894A > G, and c.6563 T > C [18]. Although many ABCA4 variants have been reported, we found that novel ABCA4 mutant variants were still found in STGD1 patients.

In the present study, we analyzed the mutation spectrum of ABCA4 in 12 Han Chinese families with STGD1 by next-generation sequencing (NGS). Our analysis revealed 21 ABCA4 mutant variants and the functional impacts of these variants were evaluated by in silico programs. Among them, 3 novel mutant variants were determined, namely, two missense and one splicing variants.

Methods

Subjects

From June 2019 to October 2019, 36 subjects from 12 unrelated Han Chinese families with STGD1 were recruited at Fudan University Eye Ear Nose and Throat Hospital. Ophthalmologic examination was performed on the subjects, containing spectral domain optical coherence tomography (SD-OCT), electroretinography (ERG), fundus autofluorescence (FAF), slit-lamp biomicroscopy, fundus photograph, and best corrected visual acuity (BCVA). In addition, the family and medical histories were recorded. STGD1 patients were clinically diagnosed by experienced ophthalmologists.

Library preparation and panel-based NGS

We cooperated with BGI-Shenzhen to design a specially customized capture panel, named as Target_Eye_792_V2 chip, which could capture the exons and the untranslated regions (UTRs) plus 30 bp of intronic flanking sequences of 792 genes closely associated with usual ophthalmic genetic disease (Supplementary Table S1). In the current study, all subjects underwent corresponding genetic testing by panel-based NGS. The genomic DNA of all subjects was extracted from peripheral blood by QIAGEN FlexiGene DNA Kit (Qiagen, Venlo, the Netherlands) according to the manufacturer’s protocols. Then, the genomic DNA was sonicated to shear into fragments, including the promoter and flanking intronic regions and the coding exons. The enriched libraries were sequenced by BGISEQ-500 [19].

Genetic analyses and variant identification

Sequencing reads that passed quality control were aligned to the reference sequences (UCSC hg 38) through the Burrows-Wheeler Aligner (BWA) program [20]. The reference sequence number for ABCA4 is NM_000350. We analyzed the minor allele frequencies (MAFs) of all identified mutant variants in the four databases, namely, ExAC (http://exac.broadinstitute.org), dbSNP (http://www.ncbi.nlm.nih.gov/projects/SNP/), ESP6500 (http://evs.gs.washington.edu/EVS/), and 1000 Genomes Project (http://browser.1000genomes.org/). The variants with MAFs> 0.1% were filtered out to eliminate benign variants. After filtering, the mutant variants were further screened according to variant report, the potential deleterious effects, and genotype-phenotype correlation in the three major databases, including OMIM (http://www.omim.org/), HGMD (http://www.hgmd.cf.ac.uk/ac/index.php), and ClinVar (https://www.ncbi.nlm.nih.gov/clinvar/) [21, 22]. Variants were determined as likely pathogenic or pathogenic based on the American College of Medical Genetics (ACMG) guidelines. Candidate variants were validated by Sanger sequencing.

Results

Clinical findings

Twelve unrelated Chinese families (19 males and 17 females) with STGD1 underwent genetic testing by panel-based NGS in this study. The basic clinical phenotypic characteristics of 12 probands were shown in Table 1. The vast majority of probands showed early onset age, mainly in early childhood or adolescence. Among them, the longest disease duration was more than 20 years. The visual acuity of probands was significantly decreased in both eyes, and some patients complained of an increased difficulty in adapting to darkness and abnormal color vision. In addition, all parents showed the normal phenotypes, and the pedigrees of 12 families were obtained (Fig. 1). Fundus examination in probands revealed the atrophy of the bilateral RPE around the macula. Representative photographs of patient F1:II:2 were shown in Fig. 2. Fundus photographs showed some pigment mottling and yellow-white flecks in bilateral macula and a beaten-bronze macular appearance (Fig. 2a). Fundus autofluorescence (FAF) displayed the fluorescence blocking due to macular pigment mottling and the multiple hyper-fluorescent dots corresponding with subretinal flecks detected in fundus photographs (Fig. 2b). Macular OCT revealed macular atrophy, reduced thickness of the retinal outer layers, and the alteration of choroidal reflectivity (Fig. 2c).

Table 1 The ABCA4 disease-associated variants identified in this study
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Fig. 1
figure 1

Pedigrees of 12 Han Chinese families and identified mutants. Circles and squares indicate females and males, respectively. The darkened shapes indicate the affected members and the empty shapes indicate the subjects with normal phenotype. “N” represents a wild type allele and “V” represents a mutant allele

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Fig. 2
figure 2

The representative images of ophthalmologic examination from proband F1:II:2. a Fundus photographs exhibiting macular atrophy and yellow-white spots in the posterior pole. b FAF exhibiting macular hypo-autofluorescence corresponding with atrophy and multiple hyper-fluorescent dots corresponding with subretinal flecks. c OCT exhibiting the significant thinning of retinal outer layers in macular area

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Detected variants and genetic analyses

Twenty-one disease-related ABCA4 variants were identified in 12 Han Chinese families, containing 18 known and 3 novel mutant variants (Fig. 1, Table 1). As presented in Supplementary Table S2, the detailed genetic analyses and the functional evaluation of 21 distinct variants were summarized. Two mutant variants were identified in all probands and all of them were identified as compound heterozygotes. Except for the parent F8: I: 1 who was not detected, all parents of the proband were confirmed to possess one ABCA4 variant and clinically diagnosed as normal phenotype. In addition, the elder brother of the proband F1:II:2 also possessed one heterozygous variant, while the other siblings with the normal phenotype in families 9, 10, and 11 did not receive genetic testing.

The detected ABCA4 variants contained 14 missense, three splicing, two frameshift, one small deletion, and one nonsense variants. The pathogenicity of the variants was determined based on the ACMG guidelines, including 8 likely pathogenic and 13 pathogenic variants. In our previous studies, we have confirmed three prevalent ABCA4 variants in STGD1 patients from China [18]. Among them, two frequent variants, c.101_106delCTTTAT and c.2894A > G, were detected in four families in the present study. In families 2 and 12, variants c.3262C > A and c.5167 T > C were found in trans with c.101_106delCTTTAT, respectively. Variants c.3051-1G > A and c.5327C > T were found in a compound heterozygous state with c.2894A > G in families 7 and 8, respectively. Furthermore, c.3262C > A, c.4066C > T, and c.1892G > T, which were first identified by us in STGD1 patients [18], were also found in three families, namely, families 2, 3, and 10.

Of the 21 mutant variants, 18 detected variants were distributed in 12 exons of the ABCA4 gene. And in introns 12, 21, and 39 of ABCA4, three splicing variants were identified. Based on the analyses of the Human Splicing Finder (HSF), c.1761-2A > G in intron 12 and c.3051-1G > A in intron 21 mainly affected splice acceptor sites. Variant c.5584 + 5G > A in intron 39 could affect splice donor sites (Supplementary Table S2). Moreover, our analyses revealed that the identified variants were mainly located in exocytoplasmic domains 1 (ECD1) and nucleotide-binding domain 1 (NBD1) (Fig. 3a). The NBD1 domain was regarded as one of the high incidence regions of variants in STGD1 patients from Chinese population in our previous study [18].

Fig. 3
figure 3

Distribution of the detected mutants in the ABCA4 functional domains and conservation analyses. a Location of 21 mutants in six functional domains. Black: missense mutant. Red: splicing mutant. Purple: frameshift mutant. Green: nonsense mutant. Yellow: small deletion mutant. b Multiple orthologous sequence alignment displaying the conserved amino acid residues (Glycine 1006 and Tyrosine 1723)

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Novel variants in the ABCA4 gene

Three novel ABCA4 mutant variants were identified in three unrelated families, namely, one splicing variant and two missense variants (Table 1). Two novel missense variants, c.3017G > A p.Gly1006Asp and c.5167 T > C p.Tyr1723His, were detected in families 11 and 12, respectively. In family 11, variant c.3017G > A, located in the NBD1 domain, was found in trans with c.3322C > T in proband F11:II:2. In proband F12:II:1, variant c.5167 T > C, located in transmembrane domain 2 (TMD2), was detected in compound heterozygosity with c.101_106delCTTTAT (Table 1, Fig. 3a). As presented in Fig. 3b, glycine residue at position 1006 and tyrosine residue at position 1723 were highly conserved in the ABCA4 protein across different species, suggesting that these two variants, p.Gly1006Asp and p.Tyr1723His, might result in a deleterious effect. In accordance with the ACMG guidelines, two novel heterozygous variants were categorized as likely pathogenic variants. Moreover, one novel spicing variant c.3051-1G > A was found in proband F7:II:1 and detected in trans with c.2894A > G. On the basis of the HSF analyses, c.3051-1G > A was predicted to affect the normal splicing. Variant c.3051-1G > A was identified as likely pathogenic in accordance with the ACMG guidelines.

Discussion

In the current study, 21 ABCA4 mutant variants were found in 12 unrelated Han Chinese families with STGD1 by genetic testing. Among them, three novel variants were identified.

Except F5: II: 1, the onset age of all probands with STGD1 was relatively early. The mean onset age in 12 families was 12.25 years (range 2–34 years), which was younger than that of the previously reported patients with STGD1. The average age of onset in these reported cohorts is mostly around 20 years [18, 24, 25]. However, some studies have also shown that the onset age of STGD1 patients is earlier, with the average age of onset between 10 and 14 years [23, 26, 27].

In our previous research, c.101_106delCTTTAT p.Ser34_Leu35del, c.6563 T > C p.Phe2188Ser, and c.2894A > G p.Asn965Ser have been confirmed to be three prevalent ABCA4 variants in STGD1 patients mainly from eastern China [18]. Interestingly, two frequent variants c.101_106delCTTTAT and c.2894A > G were also detected in 4 of 12 unrelated families in the present study. Based on the fact that all of the 12 families also come from eastern China, such results further illustrate the high frequency of the two mutant variants in this region. Our analyses have revealed that the allele frequencies of these three prevalent variants are about 20% [18], which are lower than those of some high frequency variants in STGD1 patients from Europe. For instance, the frequencies of p.Gly1961Glu and p.[Leu541Pro;Ala1038Val] may exceed 30% in European populations [25, 28]. Meanwhile, in another study of ABCA4 gene screening for STGD1 patients in Chinese population, the frequencies of the prevalent variants (namely, c.101_106delCTTTAT, c.2424C > G, c.2894A > G, and c.6563 T > C) are actually only 14% [23]. According to the above findings, we speculated that the prevalence of STGD1 in China might be lower than that in European populations. So far, there is no exact statistical data on the STGD1 prevalence in Chinese populations. It is necessary to conduct the epidemiological investigation on a larger number of patients in the future, so as to better understand the disease characteristics of STGD1 in Chinese patients.

In addition, the common mutant variant c.5882G > A p.Gly1961Glu identified in eastern Africa and Europe [28, 29] was also detected in family 5, and c.1761-2A > G was detected in trans with c.5882G > A in proband F5:II:1. It has been reported that STGD1 cases harboring the p.Gly1961Glu allele tend to have a mild disease phenotype, and patients with variant p.Gly1961Glu in either the homozygous or heterozygous states show delayed onset of symptoms and later age of onset. Moreover, p.Gly1961Glu is closely related to the bull’s eye maculopathy phenotype of STGD1 [30,31,32]. Consistent with previous researches, the proband F5:II:1 carrying p.Gly1961Glu presented the highest age of onset (34 years) among all patients and the FAF imaging showed typical bull’s eye maculopathy.

Furthermore, variants c.3262C > A, c.4066C > T, and c.1892G > T that were first confirmed by our group [18] were also detected in three unrelated families in this study. In proband F10:II:2, c.1892G > T was found in compound heterozygosity with c.1229 T > C and both variants were located in the ECD1 domain. Variant c.3262C > A was detected in two families. In particular, c.3262C > A and c.4066C > T were detected in proband F3:II:1 who was identified as compound heterozygotes. These results further indicated the potential deleteriousness caused by the three ABCA4 mutants.

Of the 21 disease-associated ABCA4 mutants detected in the current study, 18 known variants were detected in all probands, including 12 missense, two splicing, two frameshift, one small deletion, and one nonsense mutants. Among them, 16 known mutants were distributed in 12 exons of the ABCA4 gene. Analysis revealed three dissimilar mutants in exon 22; two dissimilar mutants each in exons 12 and 14; and one mutant each in exons 2, 4, 8, 9, 13, 19, 27, 38, and 42. In addition, two known splicing mutants were identified in two introns of ABCA4 (introns 12 and 39). As presented in Supplementary Table S2, the function prediction of coding variants was performed by four software prediction programs, including MutationTaster, SIFT, FATHMM, and LRT. Through the analyses with four online tools, the functional deleteriousness of 12 known missense mutants was verified by at least three of the four prediction programs. Three severe/null variants, namely, one nonsense mutant c.4066C > T and two frameshift mutants c.1561delG and c.2063_2064insA, could introduce a premature truncating codon in the protein during translation. The three severe/null variants and one inframe deletion variant c.101_106delCTTTAT were predicted to have deleterious effects through the MutationTaster analyses. Moreover, two known splicing variants, c.5584 + 5G > A and c.1761-2A > G, mainly affect the splice donor site and the splice acceptor site, respectively. The detected known variants of ABCA4 were distributed in all protein functional domains except for the exocytoplasmic domain 1 (ECD1). On basis of the online tools analyses and ABCA4 protein structure, p.Lys678Asn and p.Pro1776Leu located in the TMD1 and TMD2 domains might disrupt the transmembrane alpha-helices and give rise to the dysfunction of ABCA4 protein transport. Variants p.Pro143Leu, p.Tyr340Cys, p.Ile410Thr, p.Arg587Lys, and p.Gly631Val in the ECD1 domain might have an impact on the topologically associated domains outside the cell and lead to the loss of protein function. Variants p.Gly1961Glu, p.Arg1108Cys, p.Ser1096Leu, p.Pro1088Thr, and p.Asn965Ser in the NBD1 and NBD2 domains could affect the ATP hydrolysis function of protein through damaging the topologically associated domains in cells. The functional impacts of p.Asn965Ser have been demonstrated in the corresponding in vivo and in vitro studies [33, 34]. The pathogenicity of these variants was determined based on the ACMG guidelines, containing 5 likely pathogenic and 13 pathogenic mutants.

Three novel ABCA4 variants were found in this study, including one splicing and two missense variants. All three mutants showed the dramatically low allelic frequency in dbSNP, 1000 Genomes Project, ExAC, and ESP6500 databases and were not observed in 200 normal controls. Two novel missense mutants, c.3017G > A p.Gly1006Asp and c.5167 T > C p.Tyr1723His, co-segregated with the clinical phenotype of STGD1 in families 11 and 12. In silico analyses of missense variants revealed that c.3017G > A and c.5167 T > C could cause the functional damage in all of four software prediction programs (MutationTaster, LRT, SIFT, and FATHMM). Meanwhile, all of these two variants were detected in trans with the known pathogenic variants (c.3322C > T and c.101_106delCTTTAT), further indicating their possible pathogenicity. More significantly, c.3017G > A was located in a high incidence region of variants, namely, the NBD1 domain [18, 23]. Moreover, codons 1006 and 1723 of ABCA4 were strictly conserved amino acids among dissimilar species, suggesting that these amino acids were essential for the normal protein function. According to the ABCA4 protein structure and the online tools analyses, p.Gly1006Asp in the NBD1 domain might destroy the topologically associated domains in cells, thus interfering with the ATPase activity of the protein. And p.Tyr1723His in the TMD2 domain might bring about the ABCA4 transport dysfunction through breaking the extracellular topological domains. A novel null mutant, c.3051-1G > A in intron 21, was identified and co-segregated with the clinical phenotype of disease in family 7. As shown in Fig. 1, c.3051-1G > A was found in trans with c.2894A > G, which has been confirmed to be a high frequency variant in Chinese populations [18, 23]. According to HSF analyses, variant c.3051-1G > A affects the splice acceptor site. The above-mentioned analysis results confirmed the potential pathogenicity of these three novel mutants. In accordance with the ACMG guidelines, three novel mutants were categorized as likely pathogenic variants.

In the process of screening patients with the clinical phenotype of STGD1, we also detected the variants of other pathogenic genes instead of ABCA4 related to macular degeneration in another three Chinese families, namely, GUCY2D (c.2513G > A), PDE6C (c.967 T > C and c.1579C > T), and POC1B (c.1153G > A and c.458C > T). All of them are the causative genes for cone or cone-rod dystrophy [35,36,37]. The phenotypes of macular degeneration caused by these three genes are very similar to STGD1. The results also fully demonstrate the importance of genetic testing in clinical differential diagnosis.

Conclusions

In conclusion, 21 disease-related ABCA4 variants were identified in 12 unrelated Han Chinese families with STGD1, and the functional influences of the detected mutants were assessed by the software prediction programs. Furthermore, two novel missense and one novel splicing variants were found in three unrelated probands, extending the mutation spectrum of ABCA4 in patients from Chinese population. The detailed genetic characterization of STGD1 patients will contribute to the clinical differential diagnosis of macular degeneration and provide reliable information for genetic counselling.

Availability of data and materials

Our data generated and/or analysed during the current study is available in the ABCA4 LOVD (www.lovd.nl/ABCA4), which is an almost complete variant and case registry for ABCA4. Here is the link: https://databases.lovd.nl/shared/individuals?search_owned_by_=%3D%22Fangyuan%20Hu%22

Abbreviations

AMD:

Age-related macular degeneration\

ACMG:

American College of Medical Genetics

BCVA:

Best corrected visual acuity

BWA:

Burrows-Wheeler Aligner

CRD:

Cone-rod dystrophy

ERG:

Electroretinography

ECD:

Exocytoplasmic domain

FAF:

Fundus autofluorescence

HGMD:

Human Gene Mutation Database

HSF:

Human Splicing Finder

MAFs:

Minor allele frequencies

NGS:

Next-generation sequencing

NBD:

Nucleotide-binding domain

RPE:

Retinal pigment epithelium

RP:

Retinitis pigmentosa

STGD1:

Stargardt disease

SD-OCT:

Spectral domain optical coherence tomography

TMD:

Transmembrane domain

UTRs:

Untranslated regions

References

  1. Allikmets R. A photoreceptor cell-specific ATP-binding transporter gene (ABCR) is mutated in recessive Stargardt macular dystrophy. Nat Genet. 1997;17:122.

    CAS  Google Scholar 

  2. Zernant J, Xie YA, Ayuso C, Riveiro-Alvarez R, Lopez-Martinez MA, Simonelli F, et al. Analysis of the ABCA4 genomic locus in Stargardt disease. Hum Mol Genet. 2014;23:6797–806.

    Article  CAS  PubMed Central  Google Scholar 

  3. Sullivan JM. Focus on molecules: ABCA4 (ABCR)--an import-directed photoreceptor retinoid flipase. Exp Eye Res. 2009;89:602–3.

    Article  CAS  PubMed Central  Google Scholar 

  4. Molday RS, Beharry S, Ahn J, Zhong M. Binding of N-retinylidene-PE to ABCA4 and a model for its transport across membranes. Adv Exp Med Biol. 2006;572:465–70.

    Article  CAS  Google Scholar 

  5. Sparrow JR, Nakanishi K, Parish CA. The lipofuscin fluorophore A2E mediates blue light-induced damage to retinal pigmented epithelial cells. Invest Ophthalmol Vis Sci. 2000;41:1981–9.

    CAS  Google Scholar 

  6. Lenis TL, Hu J, Ng SY, Jiang Z, Sarfare S, Lloyd MB, et al. Expression of ABCA4 in the retinal pigment epithelium and its implications for Stargardt macular degeneration. Proc Natl Acad Sci U S A. 2018;115:E11120–E7.

    Article  CAS  PubMed Central  Google Scholar 

  7. Fujinami K, Zernant J, Chana RK, Wright GA, Tsunoda K, Ozawa Y, et al. ABCA4 gene screening by next-generation sequencing in a British cohort. Invest Ophthalmol Vis Sci. 2013;54:6662–74.

    Article  CAS  PubMed Central  Google Scholar 

  8. Rozet JM, Gerber S, Ghazi I, Perrault I, Ducroq D, Souied E, et al. Mutations of the retinal specific ATP binding transporter gene (ABCR) in a single family segregating both autosomal recessive retinitis pigmentosa RP19 and Stargardt disease: evidence of clinical heterogeneity at this locus. J Med Genet. 1999;36:447–51.

    CAS  PubMed Central  Google Scholar 

  9. Tracewska AM, Kocyla-Karczmarewicz B, Rafalska A, Murawska J, Jakubaszko-Jablonska J, Rydzanicz M, et al. Genetic Spectrum of ABCA4-Associated Retinal Degeneration in Poland. Genes (Basel). 2019;10:959.

  10. Maugeri A, Klevering BJ, Rohrschneider K, Blankenagel A, Brunner HG, Deutman AF, et al. Mutations in the ABCA4 (ABCR) gene are the major cause of autosomal recessive cone-rod dystrophy. Am J Hum Genet. 2000;67:960–6.

    Article  CAS  PubMed Central  Google Scholar 

  11. Cremers FP, van de Pol DJ, van Driel M, den Hollander AI, van Haren FJ, Knoers NV, et al. Autosomal recessive retinitis pigmentosa and cone-rod dystrophy caused by splice site mutations in the Stargardt's disease gene ABCR. Hum Mol Genet. 1998;7:355–62.

    Article  CAS  Google Scholar 

  12. Fishman GA, Stone EM, Grover S, Derlacki DJ, Haines HL, Hockey RR. Variation of clinical expression in patients with Stargardt dystrophy and sequence variations in the ABCR gene. Arch Ophthalmol. 1999;117:504–10.

    Article  CAS  Google Scholar 

  13. Duncker T, Tsang SH, Lee W, Zernant J, Allikmets R, Delori FC, et al. Quantitative fundus autofluorescence distinguishes ABCA4-associated and non-ABCA4-associated bull's-eye maculopathy. Ophthalmology. 2015;122:345–55.

    Article  Google Scholar 

  14. Fujinami K, Zernant J, Chana RK, Wright GA, Tsunoda K, Ozawa Y, et al. Clinical and molecular characteristics of childhood-onset Stargardt disease. Ophthalmology. 2015;122:326–34.

    Article  Google Scholar 

  15. Rotenstreich Y, Fishman GA, Anderson RJ. Visual acuity loss and clinical observations in a large series of patients with Stargardt disease. Ophthalmology. 2003;110:1151–8.

    Article  Google Scholar 

  16. Fujinami K, Sergouniotis PI, Davidson AE, Wright G, Chana RK, Tsunoda K, et al. Clinical and molecular analysis of Stargardt disease with preserved foveal structure and function. Am J Ophthalmol. 2013;156:487–501 e1.

    Article  CAS  Google Scholar 

  17. Fujinami K, Lois N, Davidson AE, Mackay DS, Hogg CR, Stone EM, et al. A longitudinal study of stargardt disease: clinical and electrophysiologic assessment, progression, and genotype correlations. Am J Ophthalmol. 2013;155:1075–88 e13.

    Article  PubMed Central  Google Scholar 

  18. Hu FY, Li JK, Gao FJ, Qi YH, Xu P, Zhang YJ, et al. ABCA4 gene screening in a Chinese cohort with Stargardt disease: identification of 37 novel variants. Front Genet. 2019;10:773.

    Article  CAS  PubMed Central  Google Scholar 

  19. Hu F, Gao F, Li J, Xu P, Wang D, Chen F, et al. Novel variants associated with Stargardt disease in Chinese patients. Gene. 2020;754:144890.

    Article  CAS  PubMed Central  Google Scholar 

  20. Li H, Durbin R. Fast and accurate short read alignment with burrows-wheeler transform. Bioinformatics. 2009;25:1754–60.

    Article  CAS  PubMed Central  Google Scholar 

  21. Consugar MB, Navarro-Gomez D, Place EM, Bujakowska KM, Sousa ME, Fonseca-Kelly ZD, et al. Panel-based genetic diagnostic testing for inherited eye diseases is highly accurate and reproducible, and more sensitive for variant detection, than exome sequencing. Genet Med. 2015;17:253–61.

    Article  CAS  Google Scholar 

  22. Qi YH, Gao FJ, Hu FY, Zhang SH, Chen JY, Huang WJ, et al. Next-generation sequencing-aided rapid molecular diagnosis of occult macular dystrophy in a Chinese family. Front Genet. 2017;8:107.

    Article  PubMed Central  Google Scholar 

  23. Jiang F, Pan Z, Xu K, Tian L, Xie Y, Zhang X, et al. Screening of ABCA4 gene in a Chinese cohort with Stargardt disease or cone-rod dystrophy with a report on 85 novel mutations. Invest Ophthalmol Vis Sci. 2016;57:145–52.

    Article  CAS  Google Scholar 

  24. Zernant J, Lee W, Collison FT, Fishman GA, Sergeev YV, Schuerch K, et al. Frequent hypomorphic alleles account for a significant fraction of ABCA4 disease and distinguish it from age-related macular degeneration. J Med Genet. 2017;54:404–12.

    Article  CAS  PubMed Central  Google Scholar 

  25. Fujinami K, Strauss RW, Chiang JP, Audo IS, Bernstein PS, Birch DG, et al. Detailed genetic characteristics of an international large cohort of patients with Stargardt disease: ProgStar study report 8. Br J Ophthalmol. 2019;103:390–7.

    Article  Google Scholar 

  26. Liu X, Meng X, Yang L, Long Y, Fujinami-Yokokawa Y, Ren J, 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;184C:694–707.

  27. Valkenburg D, Runhart EH, Bax NM, Liefers B, Lambertus SL, Sanchez CI, et al. Highly variable disease courses in siblings with Stargardt disease. Ophthalmology. 2019;126:1712–21.

    Article  Google Scholar 

  28. Rivera A, White K, Stohr H, Steiner K, Hemmrich N, Grimm T, et al. A comprehensive survey of sequence variation in the ABCA4 (ABCR) gene in Stargardt disease and age-related macular degeneration. Am J Hum Genet. 2000;67:800–13.

    Article  CAS  PubMed Central  Google Scholar 

  29. Guymer RH, Heon E, Lotery AJ, Munier FL, Schorderet DF, Baird PN, et al. Variation of codons 1961 and 2177 of the Stargardt disease gene is not associated with age-related macular degeneration. Arch Ophthalmol. 2001;119:745–51.

    Article  CAS  Google Scholar 

  30. Cremers FPM, Lee W, Collin RWJ, Allikmets R. Clinical spectrum, genetic complexity and therapeutic approaches for retinal disease caused by ABCA4 mutations. Prog Retin Eye Res. 2020;100861. https://doi.org/10.1016/j.preteyeres.2020.100861. (in press).

  31. Burke TR, Fishman GA, Zernant J, Schubert C, Tsang SH, Smith RT, et al. Retinal phenotypes in patients homozygous for the G1961E mutation in the ABCA4 gene. Invest Ophthalmol Vis Sci. 2012;53:4458–67.

    Article  CAS  PubMed Central  Google Scholar 

  32. Cella W, Greenstein VC, Zernant-Rajang J, Smith TR, Barile G, Allikmets R, et al. G1961E mutant allele in the Stargardt disease gene ABCA4 causes bull's eye maculopathy. Exp Eye Res. 2009;89:16–24.

    Article  CAS  PubMed Central  Google Scholar 

  33. Quazi F, Molday RS. Differential phospholipid substrates and directional transport by ATP-binding cassette proteins ABCA1, ABCA7, and ABCA4 and disease-causing mutants. J Biol Chem. 2013;288:34414–26.

    Article  CAS  PubMed Central  Google Scholar 

  34. Molday LL, Wahl D, Sarunic MV, Molday RS. Localization and functional characterization of the p.Asn965Ser (N965S) ABCA4 variant in mice reveal pathogenic mechanisms underlying Stargardt macular degeneration. Hum Mol Genet. 2018;27:295–306.

    Article  CAS  Google Scholar 

  35. Payne AM, Morris AG, Downes SM, Johnson S, Bird AC, Moore AT, et al. Clustering and frequency of mutations in the retinal guanylate cyclase (GUCY2D) gene in patients with dominant cone-rod dystrophies. J Med Genet. 2001;38:611–4.

    Article  CAS  PubMed Central  Google Scholar 

  36. Thiadens AAHJ, den Hollander AI, Roosing S, Nabuurs SB, Zekveld-Vroon RC, Collin RWJ, et al. Homozygosity mapping reveals PDE6C mutations in patients with early-onset cone photoreceptor disorders. Am J Hum Genet. 2009;85:240–7.

    Article  CAS  PubMed Central  Google Scholar 

  37. Roosing S, Lamers IJC, de Vrieze E, van den Born LI, Lambertus S, Arts HH, et al. Disruption of the basal body protein POC1B results in autosomal-recessive cone-rod dystrophy. Am J Hum Genet. 2014;95:131–42.

    Article  CAS  PubMed Central  Google Scholar 

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Acknowledgments

We sincerely thank all of the patients and families who agreed to participate in this study.

Funding

This work was supported by the National Natural Science Foundation of China (Grant NSFC81770925, NSFC81790641), Xuhui District Health and Family Planning Commission Key Disease Joint Project (XHLHGG201807), the Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences (2018PT32019), Outstanding Academic Leaders in Shanghai (20XD1401100), Program for Outstanding Medical Academic Leader (2019LJ01), and Aging and women’s and children’s health Special project of Shanghai Municipal Health Commission (2020YJZX0102). The funding body had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

Author information

Authors and Affiliations

  1. Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China

    Fang-Yuan Hu, Feng-Juan Gao, Ping Xu, Dan-Dan Wang, Sheng-Hai Zhang & Ji-Hong Wu

  2. NHC Key Laboratory of Myopia (Fudan University); Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China

    Fang-Yuan Hu, Feng-Juan Gao, Ping Xu, Dan-Dan Wang, Sheng-Hai Zhang & Ji-Hong Wu

  3. Shanghai Key Laboratory of Visual Impairment and Restoration, Shanghai, China

    Fang-Yuan Hu, Feng-Juan Gao, Ping Xu, Dan-Dan Wang, Sheng-Hai Zhang & Ji-Hong Wu

  4. BGI-Shenzhen, Shenzhen, China

    Jian-kang Li

  5. Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong

    Jian-kang Li

Authors
  1. Fang-Yuan Hu
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  4. Ping Xu
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  7. Ji-Hong Wu
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Contributions

JW and FH designed and conceived this study. JW, FH, FG, PX, and DW recruited patients, and performed clinical examinations and interpretation. FH, FG, DW, and SZ collected the clinical samples and clinical data. JW, FH, FG, and JL analyzed the sequencing data. JW and FH wrote and revised the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Ji-Hong Wu.

Ethics declarations

Ethics approval and consent to participate

This study was performed in accordance with the Code of Ethics of the World Medical Association (Declaration of Helsinki) for medical research involving human subjects and was approved by the Ethics Committee of Fudan University Eye Ear Nose and Throat Hospital. Written informed consent was obtained from all individuals who participated in this study and from parents on behalf of minors.

Consent for publication

Written informed consent for publication of identifying images or other personal or clinical details was obtained from all of the participants or the parents or legal guardians of any participant under the age of 18.

Competing interests

The authors declare that they have no competing interests.

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Supplementary Information

Additional file 1: Table S1.

Gene list of capture panel.

Additional file 2: Table S2.

Twenty-one ABCA4 variants identified in this study and their in silico functional assessment.

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Hu, FY., Gao, FJ., Li, Jk. et al. Novel variants of ABCA4 in Han Chinese families with Stargardt disease. BMC Med Genet 21, 213 (2020). https://doi.org/10.1186/s12881-020-01152-5

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  • DOI: https://doi.org/10.1186/s12881-020-01152-5

Keywords

  • ABCA4 gene
  • STGD1
  • Han Chinese patients
  • Panel-based NGS
  • Novel mutant variants

BMC Medical Genetics

ISSN: 1471-2350

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