Abstract
Introduction
Genetic diagnosis of Alport syndrome (AS), which results from pathogenic variants in COL4A3, COL4A4, or COL4A5 genes, is hindered by large numbers of unclassified variants detected using next-generation sequencing (NGS). We examined the impact on splicing of variants of uncertain significance in COL4A3 to COL4A5.
Methods
Nine unrelated patients with clinical diagnosis or suspicion of AS were enrolled according to the criteria. Their clinical and genetic data were collected. Blood and urine samples were obtained from the patients and their family members. Sanger sequencing was used to confirm the 9 COL4A3 to COL4A5 unclassified variants identified by NGS. COL4A3 to COL4A5 mRNAs from urine were analyzed using targeted reverse transcription polymerase chain reaction and direct sequencing.
Results
Nine COL4A3 to COL4A5 unclassified variants were found to alter mRNAs splicing. Skipping of an exon or an exon fragment was induced by variants COL4A3 c.828+5G>A; COL4A4 c.3506-13_3528del; and COL4A5 c.451A>G (p. [Ile151Val]), c.2042-9 T>G, c.2689 G>C (p. [Glu897Gln]) and c.1033-10_1033-2delGGTAATAAA. Retention of an intron fragment was caused by variants COL4A3 c.3211-30G>T, and COL4A5 c.4316-20T>A and c.1033-10 G>A, respectively. The 9 families in this study obtained genetic diagnosis of AS, including 3 with autosomal recessive AS and 6 with X-linked AS.
Conclusions
Our findings demonstrate that urine mRNA analysis facilitates the identification of abnormal splicing of unclassified variants in Alport genes, which provides evidence of routine use of RNA analysis to improve genetic diagnosis of AS.
Keywords: Alport syndrome, COL4A3, COL4A4, COL4A5, RNA splicing, unclassified variants
Graphical abstract
AS is an inherited kidney disease characterized by hematuria, proteinuria, and progressive kidney failure frequently accompanied by hearing loss and ocular lesions.1,2 It is caused by pathogenic variants in COL4A3, COL4A4, or COL4A5 genes, which encode the type IV collagen α3, α4, and α5 chains, respectively.3, 4, 5 The triple helical isoform of α3-α4-α5 (IV) is a major structural component of mature glomerular basement membrane (GBM), which would be impaired because of pathogenic variants in any of the 3 Alport genes.6
Pathogenic variants in COL4A5 gene cause X-Linked AS (XLAS).7 It is well known that there is a strong genotype and phenotype correlation in males with XLAS. In a European population, it was reported that the risk of developing end-stage kidney disease (ESKD) before the age of 30 years in males with large deletions, nonsense mutations, or small mutations changing the reading frame in COL4A5 gene was 90%, whereas the same risk was 70% in males with splicing mutations, and 50% in males with missense mutations.8 Recently, in a Chinese cohort, the median age of ESKD in males with XLAS was reported to be 39 and 22 years for nontruncating and truncating mutations in COL4A5 gene, respectively.9 Furthermore, the frequency of hearing loss and effect of renin-angiotensin-aldosterone system blockers in males with XLAS with nontruncating and truncating mutations were significantly different. Females with XLAS demonstrated widely variable disease outcomes.10,11 A systematic review of pathogenic COL4A5 variants and proteinuria in females with XLAS found that proteinuria correlated with a more severe genotype.12
Autosomal recessive AS (ARAS) is due to pathogenic variants in both alleles of either COL4A3 or COL4A4 gene.13 Females and males with ARAS are equally affected. The median onset age of ESKD is about 21years.14 The phenotype of ARAS correlates with the number of missense variants in COL4A3 or COL4A4 gene. Patients without missense variants had more severe outcomes than those who had 1 or 2 missense variants.15 Autosomal dominant AS is caused by pathogenic heterozygous variants in COL4A3 or COL4A4 gene.16,17 There is a small number of patients with digenic AS because of pathogenic variants in 2 of the COL4A3 to COL4A5 genes. These patients have highly variable clinical presentations.18,19 A recent systematic literature review for patients with pathogenic heterozygous variants in COL4A3 or COL4A4 gene found that the median age at kidney failure was 55 years for individuals with missense variants, and 47 years for those with nonmissense variants resulting in premature termination of translation.20
The above-mentioned studies indicate that analysis of genotype-phenotype correlations in AS can help to predict the risk and onset age of ESKD. However, variants of unknown significance (VUSs) in Alport genes pose a challenge for genetic diagnosis and subsequent analysis of genotype-phenotype correlations. Published studies demonstrate that abnormal splicing, which accounts for about 13% to 25% of pathogenic variants in COL4A3 to COL4A5 genes, could be caused by canonical splice site variants and noncanonical splice site variants such as deep intronic changes and substitutions in exons.21,22 Therefore, it is necessary to determine the effect on transcripts of COL4A3 to COL4A5 VUSs to detect novel possible splicing variants. Analysis of COL4A3 to COL4A5 mRNA from cultured fibroblasts, hair roots, urine-derived cells, or in vitro minigene assay were the procedures reported.23, 24, 25, 26 Our recent study showed that analysis of urine COL4A3 to COL4A5 mRNAs facilitates the identification of deep intronic variants in patients with AS with negative results of NGS; thus, analyzing urine for COL4A3 to COL4A5 mRNA was suggested as the preferred method for patients with genetically unresolved AS.27
In this study, via analysis of urine COL4A3 to COL4A5 mRNAs, we evaluated the impact on abnormal splicing of 9 VUSs in either noncanonical splice site or in exons of COL4A3 to COL4A5 genes detected by NGS in 9 families with clinical diagnosis or suspicion of AS.
Methods
Ethical Considerations
All procedures were reviewed and approved by the ethical committee of Peking University First Hospital (2020[72]), 1179]), and informed consent was obtained from the participants or their parents.
Patients and Inclusion Criteria
Patients were diagnosed or suspected of AS according to the following criteria: (i) glomerular hematuria, (ii) family history of hematuria or kidney failure without another documented kidney disease, (iii) lack of or discontinuous staining of a5 (IV) chain in epidermal basement membrane or GBM, (iv) the typical GBM ultrastructural lesions of AS (irregular thinning, thickening with splitting, and lamellation), (v) COL4A5 pathogenic variants, (vi) COL4A3 or COL4A4 homozygous or compound heterozygous pathogenic variants. AS was suspected in individuals with criteria (i) and (ii) and was diagnosed with criteria (i) and 1 of (iii) to (vi).
Patients diagnosed or suspected of AS in the Pediatric Department of Peking University First Hospital from August 2020 to December 2021 were enrolled in this study according to the following 2 criteria: (i) identifying COL4A3 to COL4A5 VUSs using proband-only whole-exome sequencing (WES); (ii) blood and urine samples from the patients or their family members were obtained for further analysis.
The clinical data, including gender, age, renal and extrarenal manifestations, renal histopathology results, α5 (Ⅳ) expression results, and gene variants detected by WES were collected from the online registry of pediatric hereditary kidney diseases in China (http://chkd.tiamal.com/).
Genomic DNA Analyses
Genomic DNA samples from 7 probands and 13 family members were extracted from peripheral blood lymphocytes. All COL4A3 to COL4A5 VUSs detected with WES were confirmed in the probands and their family members using Sanger sequencing. The pathogenicity of these variants was assessed based on the American College of Medical Genetics and Genomics standards28 and the expert consensus guidelines for the genetic diagnosis of AS.29
Urine mRNA Analyses
Urine samples from 6 probands and 3 mothers were collected and analyzed. Urine sample collection, mRNA extraction, and COL4A3–COL4A5 mRNAs analyses were performed as described previously.27
Results
Clinical Features
There were 40 probands who were diagnosed or suspected of AS in our department from August 2020 to December 2021. WES was performed in all of them and noncanonical splicing variants were detected in 11 patients (11/40, 27.5%). Blood and urine samples from the probands or their family members were available in 9 of the 11 patients. Therefore, the 9 unrelated patients were enrolled in this study. Of them, 5 were diagnosed as AS (patient number 1, 4, 5, 7, and 9) and 4 were suspected with AS (patient number 2, 3, 6, and 8) according to the clinical information (Table 1). The median age at onset of the disease was 5 years (range 1–33 years). The rates of hematuria and proteinuria were 100% and 66.7%, respectively. Only 1 patient presented with abnormal serum creatinine. Six of them (6/9, 67%) had positive family history of hematuria or ESKD. Of 2 patients (patient number 7, 8) who underwent pure tone audiometry testing and ophthalmologic examination, none of them had hearing loss or ocular lesions.
Table 1.
Clinical characteristics and gene variants detected by whole-exome sequencing in 9 probands in this study
| Proband | Gender | Age at onset (yr) | Urine analysis | Serum creatinine (umol/l) | EM findings of renal biopsy | α5(IV) expression | Family History | Gene variants (zygosity, segregation) | Location | Mutation Taster |
SpliceAI | ACMG | Reference |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Autosomal recessive Alport syndrome | |||||||||||||
| 1 | Female | 10 | HU, PU | 51.1 | AS | ND | - | COL4A3 c.2041delA, p.(Lys681Asnfs∗66), (het, f) | Exon 28 | DC | polymorphism | P (PVS1 PM2 PP4) | Novel |
| COL4A3 c.3211-30G>T (het, m) | Intron 37 | DC | D (acceptor gain 0.44) | VUS (PM2 PM3 PP4) | Novel | ||||||||
| 2 | Female | 3.25 | HU, PU | 31.6 | MsPGN with normal GBM (at age of 3.7 yr) | ND | Mother (HU) | COL4A3 c.4793T>G, r.4463_5013del, p. Gly1488_His1670del, (het, f) | Exon 51 | DC | polymorphism | P (PVS1 PM2 PP3 PP5) | 22 |
| COL4A3 c.828+5G>A (het, m) | Intron 14 | DC | D (donor loss 0.83) | VUS (PM2 PM3 PP4) | Novel | ||||||||
| 3 | Female | 1 | HU, PU | 28.5 | ND | ND | Sister (HU); Mother (HU); Father (HU, PU) | COL4A4 c.3178G>A, p.(Gly1060Arg), (het, f) | Exon 34 | DC | Polymorphism (acceptor loss 0.15) | LP (PM1 PM2 PP1 PP4) | Novel |
| COL4A4 c.3506-13_3528del (het, m) | Intron 37-Exon 38 | DC | - | VUS (PM2 PP4) | Novel | ||||||||
| X-linked Alport syndrome | |||||||||||||
| 4 | Male | 15 | HU, PU | 136.9 | AS | ND | - | COL4A5 c.4316-20T>A (hemi, de novo) | Intron 48 | polymorphism | D (acceptor loss 0.45) | VUS (PM2 PP4) | Novel |
| 5 | Male | 5 | HU, PU | 32.7 | ND | Negative (skin) | Mother (HU, PU); Maternal uncle (ESKD) |
COL4A5 c.1033-10G>A (hemi, m) | Intron 18 | DC | D (acceptor loss 0.91) | VUS (PM2 PP1 PP3 PP4) | Novel |
| 6 | Female | 33 | HU | ND | ND | ND | Brother (ESKD); Mother (ESKD) | COL4A5 c.451A>G, p.(Ile151Val), (het, ND) | Exon 8 | polymorphism | polymorphism | VUS (PM2 PP4) | Novel |
| 7 | Female | 6 | HU | ND | AS | Mosaic (skin) | - | COL4A5 c.1033-10_1033-2 (het, de novo) | Intron 18 | DC | - | VUS (PM2 PP3 PP4) | Novel |
| 8 | Male | 1.5 | HU | 20 | ND | ND | Mother (HU) | COL4A5 c.2042-9 T>G (hemi, m) | Intron 26 | DC | polymorphism | VUS (PM2 PP1 PP4) | Novel |
| 9 | Male | 3 | HU, PU | ND | AS | Negative (kidney) | Mother (HU) | COL4A5 c.2689 G>C, p.(Glu897Gln), (hemi, m) | Exon 32 | DC | polymorphism | VUS (PM2 PP1 PP4) | Novel |
ACMG, American College of Medical Genetics and Genomics; AS, typical ultrastructural changes in the glomerular basement membrane of Alport syndrome; DC, disease causing; D, damage; EM, electron microscopic; ESKD, end-stage kidney disease; f, father; GBM, glomerular basement membrane; het, heterozygote; hemi, hemizygote; HU, hematuria; LP, likely pathogenic; m, mother; MsPGN, mesangial proliferative glomerulonephritis; ND, not determined; P, pathogenic; PU, proteinuria; VUS, variants of uncertain significance.
The allele frequency of COL4A3 variant c.4793T>G was 0.000033 in the Exome Aggregation Consortium (ExAC) and 5.61266E-05 in the Genome Aggregation Database (gnomAD), whereas not found in 1000 Genomes Project (1000G). The remaining 11 variants had not been reported in 1000G, ExAC, and gnomAD.
The variants with the Splice AI Δscore >0.2 were predicted to disrupt splicing.
The reference sequences are COL4A3 (NM_000091.4), COL4A4 (NM_000092.4) and COL4A5 (NM_033380.2).
Gene Variants at DNA Level
In total, 6 VUSs in COL4A5, 2 VUSs and 2 pathogenic variants in COL4A3, as well as 1 VUS and 1 likely pathogenic variant in COL4A4 identified by WES were collected and confirmed by Sanger sequencing in the patients and their family members (Table 1). Eleven variants (11/12, 92%) were novel. Of the 9 VUSs, 7 were in the intronic areas of COL4A3 to COL4A5 genes and 2 were non-Glycine missense in COL4A5 gene. Of the 9 patients, 3 would be genetically diagnosed as ARAS and 6 would be XLAS if the VUSs could be pathogenic.
Urine mRNA Analyses
All the 9 VUSs in COL4A3 to COL4A5 genes resulted in abnormal splicing by urine mRNA analysis (Table 2). The 2 VUSs in noncanonical splice site of COL4A3 caused out-of-frame insertion and in-frame deletion of skipping exon 14, respectively. The VUS of deletion of 36bp from intron 37 to exon 38 in COL4A4 caused in-frame deletion of skipping exon 38 in the transcript. Of the 6 COL4A5 VUSs, 3 caused in-frame deletion of exons, 1 caused in-frame insertion, and the other 2 caused out-of-frame insertion and deletion, respectively (Figure 1). Therefore, all the 9 VUSs in COL4A3 to COL4A5 genes were evaluated as pathogenic variants according to American College of Medical Genetics and Genomics criteria. The 9 patients in this study obtained genetic diagnosis of AS, including 3 ARAS and 6 XLAS.
Table 2.
Impact on abnormal splicing of the 9 unclassified variants in this study
| No. | Gene | Location | DNA variant | Urine mRNA change | Expected change | Effect on protein |
|---|---|---|---|---|---|---|
| VUS-1 | COL4A3 | intron 37 | c.3211-30G>T | r.3210_r.3211ins [3211-19_3211-1] | frame shift (insertion of 19 bp) | p. Gly1071Valfs∗6 |
| VUS-2 | COL4A3 | intron 14 | c.828+5G>A | r.766_r.828del | Exon 14 skipping (63 bp) | p.256Asp_276Serdel21 |
| VUS-3 | COL4A4 | intron 37-exon 38 | c.3506-13_3528del | r. 3506_3577del | Exon 38 skipping (72 bp) | p.1170Pro_1193Glydel24 |
| VUS-4 | COL4A5 | intron 48 | c.4316-20T>A | r.4315_4316ins [4316-18_4316-1] | in-frame (insertion of 18 bp) | p. Pro1438_Gly1439ins6 |
| VUS-5 | COL4A5 | intron 18 | c.1033-10G>A | r.1032_r.1033ins [1033-8_1033-1] | frame shift (insertion of 8 bp) | p. Val345∗ |
| VUS-6 | COL4A5 | Exon 8 | c.451A>G | r.439_r.465del | Exon 8 skipping (27 bp) | p. Pro148_Gly156del9 |
| VUS-7 | COL4A5 | intron 18 | c.1033-10_1033-2del | r.1033_1043del | frame shift (deletion of 11 bp) | p. Val345Thrfs∗62 |
| VUS-8 | COL4A5 | intron 26 | c.2042-9 T>G | r.2042_2146del | Exon 27 skipping (105 bp) | p. Asp682_Gly716del35 |
| VUS-9 | COL4A5 | Exon 32 | c.2689 G>C | r. 2678_2767del | Exon 32 skipping (90 bp) | p. Thr894_Gly923del30 |
VUS, variants of uncertain significance
Figure 1.
Nine variants of uncertain significance (VUS) and their consequences. The upper panels show schematics of aberrant splicing (red lines). Normal splicing is indicated by black lines. The original sequences are shown below and the 9 variants in patients’ sequences are in red. Inserted sequences on transcripts are indicated by dotted box. Deleted sequences on transcripts are indicated by gray background. Flanking genomic DNA and cDNA sequences of either patients or the mothers are shown in lower panels. (a) VUS-1. c.3211-30G>T in intron 37 of COL4A3 produced an insertion of 19-bp in abnormal transcript in patient 1. (b) VUS-2. c.828+5G>A in intron 14 of COL4A3 resulted in exon 14 skipping, which created a transcript with a 63-bp deletion in patient 2. (c) VUS-3. c.3506-13_3528del (deletion 36bp) in the intron 37-exon 38 boundary of COL4A4 resulted in exon 38 skipping, which created a transcript with a 72-bp deletion in patient 3. (d) VUS-4. c.4316-20T>A in intron 48 of COL4A5 produced an insertion of 18-bp in abnormal transcript in patient 4. (e) VUS-5. c.1033-10G>A in intron 18 of COL4A5 produced an insertion of 8-bp in abnormal transcript in patient 5 and his mother. (f) VUS-6. c.451A>G in exon 8 of COL4A5 resulted in exon 8 skipping, which created a transcript with a 27-bp deletion in patient 6. (g) VUS-7. c.1033-10_1033-2delGGTAATAAA in intron 18 of COL4A5 created a transcript with an 11-bp deletion in patient 7. (h) VUS-8. c.2042-9 T>G in intron 26 of COL4A5 resulted in exon 27 skipping, which created a transcript with a 105-bp deletion in the mother of patient 8. (i) VUS-9. c.2689 G>C in exon 32 resulted in exon 32 skipping, which created a transcript with a 90-bp deletion in the mother of patient 9 (only urine sample available).
Discussion
In this study, by analyzing urine COL4A3 to COL4A5 mRNAs, we proved the pathogenicity of 9 VUSs in these genes identified by WES. Furthermore, the reliability of spliceAI was only 44% (4 out of 9 proven splicing variants, Table 1) in this study, which indicated that many noncanonical splice site variants were likely to be missed. The present study underlies the usefulness of urine mRNA analysis for COL4A3 to COL4A5 in genetic diagnosis of AS.
In the recent decade, there is no doubt that genetic diagnosis of AS is greatly speeded up by NGS.30 Nevertheless, the limitations and challenges raised by NGS are recognized by physicians, especially in patients with clinical diagnosis or highly suspected of AS. Some of them have complete negative results and some of them have VUSs in COL4A3 to COL4A5 genes detected by NGS. For these patients, to make a conclusive genetic diagnosis, it is necessary to analyze COL4A3 to COL4A5 genes further to identify the pathogenic variants or to do experiments to prove the pathogenicity of the identified VUSs. In our previous study, 6 deep intronic pathogenic variants leading to abnormal splicing were identified in 4 unrelated patients with Alport with negative NGS results by analyzing COL4A3 to COL4A5 mRNAs from urine or skin fibroblasts.27 We demonstrated that urine COL4A3 to COL4A5 mRNAs analysis was a reliable and feasible method to detect splicing variants and to make up for the weaknesses of NGS in patients with Alport.
In the present study, 9 VUSs in Alport genes detected by NGS were proved to be pathogenic by analyzing urine COL4A3 to COL4A5 mRNAs of the patients. Of the 9 VUSs, 5 were in noncanonical splice site of Alport genes, 2 were small deletions from intron to exon, and the other 2 were non-Glycine substitutions. It indicates that various kinds of VUSs in Alport genes could result in abnormal transcripts. In our previous study, we found that about 56% splicing mutations were caused by variants at atypical or cryptic splice sites.26 For example, the VUS in patient 9 was c.2689G>C in exon 32 of COL4A5 and the effect on protein was initially predicted as a non-Glycine substitution (p. [Glu897Gln]). However, after analysis of COL4A5 mRNAs, it was proved to cause exon 32 skipping (90 bp) in the transcript, suggesting it was a pathogenic splicing variant. In addition, we reported another pathogenic variant in deep intronic area c.2677+646 C>T in intron 31 of COL4A5, which also caused exon 32 skipping in the transcript.27 Other pathogenic variants resulting in exon 32 skipping in COL4A5 transcript was reported, including c.2678–1G>A in intron 31 of COL4A5,31 and the last nucleotide substitution in exon 32 of COL4A5(c.2767G>C, p. [Gly923Arg]).24 Therefore, various nucleotide changes in either introns or exons can result in the same effect on COL4A5 transcript. The percentage of pathogenic variants causing abnormal splicing in COL4A3 to COL4A5 is likely more than reported. However, though SpliceAI was shown to achieve accuracy >90% for identifying splice-altering variants,32 our data demonstrated this algorithm only identified 4 out of 9 proven splicing variants (44.4%, Table 1), indicating low sensitivity of in silico splice prediction methods.22,27 Analyzing urine COL4A3 to COL4A5 mRNAs is an effective choice as the first step to determine the impact of VUS detected by NGS in patients who were diagnosed or suspected with AS.
To date, several retrospective studies have described strong genotype-phenotype correlations in patients with ARAS and males with XLAS. In our previous study of 101 patients with ARAS from Europe and China, we found that genotype in ARAS correlates with phenotype and response to therapy in favor of missense variants.15 In males with XLAS, truncating variants in COL4A5 were associated with “severe” disease with earlier onset kidney failure, and hearing loss and ocular abnormalities, which were reported in previous studies from European, Japanese, and Chinese populations.8,9,33 In addition, it was reported that male patients with COL4A5 splicing variants leading to in-frame transcripts had less severe phenotypes than those with out-of-frame transcripts.31 Therefore, among the 3 patients with ARAS in this study, patient 1 was predicted to have an earlier onset age of ESKD because of 2 truncating variants in COL4A3, compared with the other 2 patients who had at least 1 nontruncating variant in COL4A3 or COL4A4. Of the 4 males with XLAS in this study, patient 5 had out-of-frame transcript of COL4A5 and the other 3 (patient 4, 8, and 9) had in-frame splicing transcripts. The results of our study provided information for genetic counseling and helped to predict the kidney prognosis for the patients and their family members.
Diffuse thinning of the GBM was considered as the earliest ultrastructural change of AS.34 In our study, electron microscopy revealed that the width of the GBM was normal in patient 2 who underwent renal biopsy at age 3.7 years, which was in keeping with 2 published cases.34,35 Vischini et al.34 reported that in a male patient who manifested with hematuria and mild proteinuria at age 3 years, electron microscopy demonstrated normal GBM appearance and thickness in the first renal biopsy performed at age 9 years and diffuse GBM thinning without basket-weaving and lamellation in the second renal biopsy performed at age 14 years, whereas negative a3(IV) and a5(IV) chains immunostaining in the GBM and normal expression of α5 (IV) in Bowman’s capsule were observed in twice biopsies. Storey et al.35 had a female patient with ARAS and COL4A3 heterozygous pathogenic variants c.713del (p. [Pro238Argfs∗9]) and c.1918G>A (p. [Gly640Arg]), showing normal GBM by electron microscopy when she underwent kidney biopsy at age 6 years. These findings highlight that genetic testing and collagen IV immunostaining are especially helpful for making correct diagnosis in children, who were suspected of AS and had normal GBM.
The limitation of this study is the small number of patients and the young median age preventing us from further genotype-phenotype correlation analysis. Long-term follow-up of these patients is necessary in the future.
In summary, we reported 9 novel COL4A3 to COL4A5 variants that result in abnormal splicing, which provided further evidence for abnormal splicing caused by noncanonical splice site variants and substitutions in exons of Alport genes. Furthermore, we suggest routine use of urine COL4A3 to COL4A5 mRNAs analysis to determine the pathogenicity of VUSs identified by NGS in patients with clinical diagnosis or suspicion of AS.
Disclosure
All the authors declared no competing interests.
Acknowledgments
We thank the patients and their families for their contribution to this project. The study was supported by grant from the National Key Research and Development Program of China (2022YFC2703603 and 2016YFC0901505).
Data Availability
The data were stored in the online registry of pediatric hereditary kidney diseases in China.
Contributor Information
Jie Ding, Email: djnc_5855@126.com.
Fang Wang, Email: wangfangped@163.com.
References
- 1.Flinter F. Alport’s syndrome. J Med Genet. 1997;34:326–330. doi: 10.1136/jmg.34.4.326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Kashtan C.E. Alport syndromes: phenotypic heterogeneity of progressive hereditary nephritis. Pediatr Nephrol. 2000;14:502–512. doi: 10.1007/s004670050804. [DOI] [PubMed] [Google Scholar]
- 3.Zhou J., Leinonen A., Tryggvason K. Structure of the human type IV collagen COL4A5 gene. J Biol Chem. 1994;269:6608–6614. doi: 10.1016/S0021-9258(17)37416-1. [DOI] [PubMed] [Google Scholar]
- 4.Lemmink H.H., Mochizuki T., van den Heuvel L.P., et al. Mutations in the type IV collagen alpha 3 (COL4A3) gene in autosomal recessive Alport syndrome. Hum Mol Genet. 1994;3:1269–1273. doi: 10.1093/hmg/3.8.1269. [DOI] [PubMed] [Google Scholar]
- 5.Boye E., Mollet G., Forestier L., et al. Determination of the genomic structure of the COL4A4 gene and of novel mutations causing autosomal recessive Alport syndrome. Am J Hum Genet. 1998;63:1329–1340. doi: 10.1086/302106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Hudson B.G., Tryggvason K., Sundaramoorthy M., Neilson E.G. Alport’s syndrome, Goodpasture’s syndrome, and type IV collagen. N Engl J Med. 2003;348:2543–2556. doi: 10.1056/NEJMra022296. [DOI] [PubMed] [Google Scholar]
- 7.Lemmink H.H., Schröder C.H., Monnens L.A., Smeets H.J. The clinical spectrum of type IV collagen mutations. Hum Mutat. 1997;9:477–499. doi: 10.1002/(SICI)1098-1004(1997)9:6<477::AID-HUMU1>3.0.CO;2-#. [DOI] [PubMed] [Google Scholar]
- 8.Jais J.P., Knebelmann B., Giatras I., et al. X-linked Alport syndrome: natural history in 195 families and genotype- phenotype correlations in males. J Am Soc Nephrol. 2000;11:649–657. doi: 10.1681/ASN.V114649. [DOI] [PubMed] [Google Scholar]
- 9.Di H., Zhang J., Gao E., et al. Dissecting the genotype-phenotype correlation of COL4A5 gene mutation and its response to renin-angiotensin-aldosterone system blockers in Chinese male patients with Alport syndrome. Nephrol Dial Transplant. 2022;37:2487–2495. doi: 10.1093/ndt/gfac002. [DOI] [PubMed] [Google Scholar]
- 10.Jais J.P., Knebelmann B., Giatras I., et al. X-linked Alport syndrome: natural history and genotype-phenotype correlations in girls and women belonging to 195 families: a “European Community Alport syndrome Concerted Action” study. J Am Soc Nephrol. 2003;14:2603–2610. doi: 10.1097/01.asn.0000090034.71205.74. [DOI] [PubMed] [Google Scholar]
- 11.Yamamura T., Nozu K., Fu X.J., et al. Natural history and genotype-phenotype correlation in female X-linked Alport syndrome. Kidney Int Rep. 2017;2:850–855. doi: 10.1016/j.ekir.2017.04.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Gibson J.T., de Gooyer M., Huang M., Savige J. A systematic review of pathogenic COL4A5 variants and proteinuria in women and girls with X-linked Alport syndrome. Kidney Int Rep. 2022;7:2454–2461. doi: 10.1016/j.ekir.2022.08.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Zhang Y., Wang F., Ding J., et al. Genotype-phenotype correlations in 17 Chinese patients with autosomal recessive Alport syndrome. Am J Med Genet A. 2012;158A:2188–2193. doi: 10.1002/ajmg.a.35528. [DOI] [PubMed] [Google Scholar]
- 14.Lee J.M., Nozu K., Choi D.E., Kang H.G., Ha I.S., Cheong H.I. Features of autosomal recessive Alport syndrome: a systematic review. J Clin Med. 2019;8:178. doi: 10.3390/jcm8020178. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Zhang Y., Böckhaus J., Wang F., et al. Genotype-phenotype correlations and nephroprotective effects of RAAS inhibition in patients with autosomal recessive Alport syndrome. Pediatr Nephrol. 2021;36:2719–2730. doi: 10.1007/s00467-021-05040-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Savige J. Heterozygous pathogenic COL4A3 and COL4A4 variants (autosomal dominant Alport syndrome) are common, and not typically associated with end-stage kidney failure, hearing loss, or ocular abnormalities. Kidney Int Rep. 2022;7:1933–1938. doi: 10.1016/j.ekir.2022.06.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Furlano M., Martínez V., Pybus M., et al. Clinical and genetic features of autosomal dominant Alport syndrome: a cohort study. Am J Kidney Dis. 2021;78:560–570. doi: 10.1053/j.ajkd.2021.02.326. [DOI] [PubMed] [Google Scholar]
- 18.Savige J., Renieri A., Ars E., et al. Digenic Alport syndrome. Clin J Am Soc Nephrol. 2022;17:1697–1706. doi: 10.2215/CJN.03120322. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Mencarelli M.A., Heidet L., Storey H., et al. Evidence of digenic inheritance in Alport syndrome. J Med Genet. 2015;52:163–174. doi: 10.1136/jmedgenet-2014-102822. [DOI] [PubMed] [Google Scholar]
- 20.Matthaiou A., Poulli T., Deltas C. Prevalence of clinical, pathological and molecular features of glomerular basement membrane nephropathy caused by COL4A3 or COL4A4 mutations: a systematic review. Clin Kidney J. 2020;13:1025–1036. doi: 10.1093/ckj/sfz176. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Yamamura T., Horinouchi T., Aoto Y., Lennon R., Nozu K. The contribution of COL4A5 splicing variants to the pathogenesis of X-linked Alport syndrome. Front Med (Lausanne) 2022;9 doi: 10.3389/fmed.2022.841391. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Deng H., Zhang Y., Ding J., Wang F. Presumed COL4A3/COL4A4 missense/synonymous variants induce aberrant splicing. Front Med (Lausanne) 2022;9 doi: 10.3389/fmed.2022.838983. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Fu X.J., Nozu K., Eguchi A., et al. X-linked Alport syndrome associated with a synonymous p.Gly292Gly mutation alters the splicing donor site of the type IV collagen alpha chain 5 gene. Clin Exp Nephrol. 2016;20:Gly292Gly. doi: 10.1007/s10157-015-1197-9. [DOI] [PubMed] [Google Scholar]
- 24.Aoto Y., Horinouchi T., Yamamura T., et al. Last nucleotide substitutions of COL4A5 exons cause aberrant splicing. Kidney Int Rep. 2021;7:108–116. doi: 10.1016/j.ekir.2021.10.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Shimizu Y., Nagata M., Usui J., et al. Tissue-specific distribution of an alternatively spliced COL4A5 isoform and non-random X chromosome inactivation reflect phenotypic variation in heterozygous X-linked Alport syndrome. Nephrol Dial Transplant. 2006;21:1582–1587. doi: 10.1093/ndt/gfl051. [DOI] [PubMed] [Google Scholar]
- 26.Wang F., Zhao D., Ding J., et al. Skin biopsy is a practical approach for the clinical diagnosis and molecular genetic analysis of X-linked Alport’s syndrome. J Mol Diagn. 2012;14:586–593. doi: 10.1016/j.jmoldx.2012.06.005. [DOI] [PubMed] [Google Scholar]
- 27.Wang X., Zhang Y., Ding J., Wang F. mRNA analysis identifies deep intronic variants causing Alport syndrome and overcomes the problem of negative results of exome sequencing. Sci Rep. 2021;11 doi: 10.1038/s41598-021-97414-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Richards S., Aziz N., Bale S., et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. 2015;17:405–424. doi: 10.1038/gim.2015.30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Savige J., Ariani F., Mari F., et al. Expert consensus guidelines for the genetic diagnosis of Alport syndrome. Pediatr Nephrol. 2019;34:1175–1189. doi: 10.1007/s00467-018-3985-4. [DOI] [PubMed] [Google Scholar]
- 30.Yamamura T., Nozu K., Minamikawa S., et al. Comparison between conventional and comprehensive sequencing approaches for genetic diagnosis of Alport syndrome. Mol Genet Genom Med. 2019;7:e883. doi: 10.1002/mgg3.883. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Horinouchi T., Nozu K., Yamamura T., et al. Detection of splicing abnormalities and genotype-phenotype correlation in X-linked Alport syndrome. J Am Soc Nephrol. 2018;29:2244–2254. doi: 10.1681/ASN.2018030228. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Wai H.A., Lord J., Lyon M., et al. Blood RNA analysis can increase clinical diagnostic rate and resolve variants of uncertain significance. Genet Med. 2020;22:1005–1014. doi: 10.1038/s41436-020-0766-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Yamamura T., Horinouchi T., Nagano C., et al. Genotype-phenotype correlations influence the response to angiotensin-targeting drugs in Japanese patients with male X-linked Alport syndrome. Kidney Int. 2020;98:1605–1614. doi: 10.1016/j.kint.2020.06.038. [DOI] [PubMed] [Google Scholar]
- 34.Vischini G., Kapp M.E., Wheeler F.C., Hopp L., Fogo A.B. A unique evolution of the kidney phenotype in a patient with autosomal recessive Alport syndrome. Hum Pathol. 2018;81:229–234. doi: 10.1016/j.humpath.2018.02.024. [DOI] [PubMed] [Google Scholar]
- 35.Storey H., Savige J., Sivakumar V., Abbs S., Flinter F.A. COL4A3/COL4A4 mutations and features in individuals with autosomal recessive Alport syndrome. J Am Soc Nephrol. 2013;24:1945–1954. doi: 10.1681/ASN.2012100985. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data were stored in the online registry of pediatric hereditary kidney diseases in China.


