Literature DB >> 30968591

Novel mutations of COL4A3, COL4A4, and COL4A5 genes in Chinese patients with Alport Syndrome using next generation sequence technique.

Xuechao Zhao1, Chen Chen1, Yanfu Wei2, Ganye Zhao1, Lina Liu1, Conghui Wang1, Junjun Zhang2, Xiangdong Kong1.   

Abstract

BACKGROUND: Alport syndrome (AS) is an inherited progressive renal disease caused by mutations in COL4A3, COL4A4, and COL4A5 genes. The large sizes of these genes and the absence of mutation hot spots have complicated mutational analysis by routine PCR-based approaches. In recent years, the development of next-generation sequencing (NGS) has made possible the time- and cost-effective and accurate analysis of the three genes in a single step.
METHODS: Here, we analyze COL4A3, COL4A4, and COL4A5 simultaneously in 29 AS patients using NGS. Candidate mutations were validated by classic Sanger sequencing and Real-time PCR.
RESULTS: Twenty two new mutations and 10 known mutations were detected. Of those novel mutations, 18, 3, and 1 mutations were detected in COL4A5, COL4A4, and COL4A3, respectively. Twenty six patients showed X-linked inheritance, one showed autosomal recessive inheritance and two showed digenic inheritance (DI).
CONCLUSION: A comparison of the clinical manifestations caused by different types of mutations in COL4A5 suggested that large fragment mutations are relatively more severe than the other missense mutations and AS by some mutations may show inter- and intra-familial phenotypic variability. It is important to consider these transmission patterns in the clinical evaluation according to the results of genetic testing, especially for DI. Twenty two new mutations can expand the genotypic spectrum of AS.
© 2019 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals, Inc.

Entities:  

Keywords:  Alport syndrome; digenic inheritance; next-generation sequencing; novel mutations

Mesh:

Substances:

Year:  2019        PMID: 30968591      PMCID: PMC6565573          DOI: 10.1002/mgg3.653

Source DB:  PubMed          Journal:  Mol Genet Genomic Med        ISSN: 2324-9269            Impact factor:   2.183


INTRODUCTION

Alport Syndrome (AS) is a clinically and genetically heterogeneous, progressive nephropathy caused by mutations in COL4A3, COL4A4, and COL4A5, which encode type IV collagen (Gubler, 2008; Hudson, Tryggvason, Sundaramoorthy, & Neilson, 2003). The α3, α4 and α5 chains heterotrimer of type IV collagen is essential for the structure and function of the basement membrane in the glomeruli of the kidney, cochlea, and eye. X‐linked dominant inheritance pattern (XLAS, OMIM no. 301050) due to mutations in COL4A5, which is located in the Xq22 region (Pirson, 1999), accounts for approximately 65% of patients with Alport syndrome; autosomal dominant (ADAS, OMIM no.104200) due to COL4A3 or COL4A4 heterozygous mutations located in 2q36.3 are related to approximately 20% of patients, and the remaining 15% are autosomal recessive (ARAS, OMIM no. 203780) due to biallelic mutations in COL4A3 or COL4A4 (Kashtan, 1993). In addition, with the development of next‐generation sequencing (NGS) technology, the existence of digenic inheritance (DI) has recently been demonstrated in AS with two mutations in the alpha 3‐4‐5 collagen IV genes (Fallerini et al., 2017; Mencarelli et al., 2015). In AS, a spectrum of phenotypes ranging from progressive renal disease with extrarenal abnormalities (sensorineural deafness and ocular changes) to isolated hematuria with a typically benign course is observed (Wei et al., 2006). The rate of progression to end‐stage renal disease (ESRD) and the presence or absence of sensorineural deafness and ocular changes depends on the mutation they carry (Bekheirnia et al., 2010; Jais et al., 2003). All males with XLAS develop proteinuria and, eventually, progressive renal insufficiency, which leads to ESRD (Barker et al., 1990; Kashtan, 1993). Overall, an estimated 60% reach ESRD by age 30, and 90% by age 40 (Jais et al., 2000). However, the female patients have more variable symptoms, from isolated hematuria to ESRD. Approximately, 12% of females with XLAS develop ESRD before age 40, increasing to 30% by age 60 and 40% by age 80 (Gross, Netzer, Lambrecht, Seibold, & Weber, 2002; Jais et al., 2003). Most individuals with ARAS develop significant proteinuria in late childhood or early adolescence and ESRD before age 30 (Kashtan, 2007; Mochizuki et al., 1994). Progression to ESRD occurs at a slower pace in individuals with ADAS (frequently delayed until later adulthood) than in those with XLAS or ARAS (Kamiyoshi et al., 2016). AS shows high inter‐ and intrafamilial phenotypic variability, as well as high allelic heterogeneity (Lemmink, Schroder, Monnens, & Smeets, 1997). Approximately, 1,400 different mutations have been collectively reported in the three collagen IV genes (Human Gene Mutation Database, HGMD: http://hgmd.cf.ac.uk, 2018.1). There are 52, 48, and 51 coding exons for COL4A3, COL4A4, and COL4A5, respectively. The large size of these genes and the absence of mutational hot spots have hindered comprehensive genetic screenings in large patient series. In recent years, the development of NGS has made possible the time‐ and cost‐effective and accurate analysis of the three genes in a single step (Artuso et al., 2012; Stokman et al., 2016). In this study, we applied NGS to analyze COL4A3, COL4A4, and COL4A5 simultaneously in 29 patients with clear clinical evidences but no molecular diagnosis.

MATERIALS AND METHODS

Ethical compliance

The study and procedures were approved by the Research Ethics Committee of Zhengzhou University. All subjects gave their informed signed consents.

Patients and families

According to standard criteria, twenty nine patients diagnosed with AS, were elected from unrelated Chinese families from 75 patients from 2016 to 2017. For each subject, clinical data were collected regarding kidney function (haematuria, proteinuria, chronic renal failure or ESRD) and extra‐renal manifestations (high tone sensorineural hearing loss and ocular lesions). Detailed data on microscopic examination of kidney biopsies were also collected when available. A brief clinical summary of the patients is shown in (Table 1). A sample of peripheral blood in EDTA tubes was collected from probands and all available family members.
Table 1

Clinical and pathological features of all the patients

IIDSexAge URBC (104/ml) U‐P/Cr (g/g) eGFR (ml/min/1.73 m2) Hearing LossEERenal biopsyFH
EM α3/α5
1M211500.4535Normaln.a.BWCNor/An.a.
2M3801.2367.8Normaln.a.BWCM/AP
3F286500.3980.8MildNormalBWCA/AP
4M313200.5454MildNormalBWCM/AP
5M82581.5961.2NormalNormalBWCA/AP
6M31961.2680.9Normaln.a.BWCA/AP
7F16780.71112.5NormalNormalBWCM/Ap
8M61250.3536NormalNormalBWCM/MP
9F51011.4868NormalNormalTBMM/MP
10F22030.9785.6Normaln.a.TBMM/MP
11F72460.7671.7NormalNormalNDNor/NorP
12F116911.2765.4NormalNormalBWCM/AN
13M304501.0120.8MildNormalBWCM/AP
14M10691.3581.3NormalNormalBWCM/AP
15F331091.4676.4NormalNormalTBMM/ MP
16M301850.8979.9MildNormalBWCM/AP
17M81121.5948.6NormalNormalBWCNor/AP
18F92190.9184.9NormalNormalBWCNor/MP
19M13181.0688.3Normaln.a.BWCA/AP
20M12690.9989.2NormalNormalBWCA/AP
21F52050.41117.3NormalNormalTBMNor/MP
22M151530.54123.6MildNormalBWCM/AP
23F24941.2892.3NormalNormalBWCM/ Mn.a.
24M241770.8976.5MildNormalBWCM/An.a.
25M3821.9841Normaln.a.BWCNor/MP
26F41251.8751.6Normaln.a.BWCM/ MP
27F371651.1278.6NormalNormalBWCNor/Norp
28F372861.0592.9NormalNormalBWCM/ MP
29M53760.3276.4Normaln.a.TBMM/ MP

Abbreviations: A, absence; BWC, basket‐weave change; EE, eye examination; eGFP, estimated glomerular filtration rate ml/min/1.73 m2); EM, electron microscope; FH, family history; IID, individual IDPro, proteinuria (g/24 hr); M, mosatic; N, negative; n.a., not available; Nor, normal; P, positive; TBM, thin basement membrane; U‐P/Cr, urinary protein‐to‐creatinine ratio; URBC, urine red blood cell (104/ml).

Clinical and pathological features of all the patients Abbreviations: A, absence; BWC, basket‐weave change; EE, eye examination; eGFP, estimated glomerular filtration rate ml/min/1.73 m2); EM, electron microscope; FH, family history; IID, individual IDPro, proteinuria (g/24 hr); M, mosatic; N, negative; n.a., not available; Nor, normal; P, positive; TBM, thin basement membrane; U‐P/Cr, urinary protein‐to‐creatinine ratio; URBC, urine red blood cell (104/ml).

Inclusion criteria

All patients diagnosed with AS in this study satisfied one of the following criteria: (a) hematuria and proteinuria or ESRD with renal pathology showing thickening and thinning with lamellation in the glomerular basement membrane (basket weave change [BWC]) and mutations in COL4A5 or compound heterozygous mutations in COL4A3 and/or COL4A4; (b) hematuria and proteinuria with renal pathology showing thin basement membrane (TBM) and a family history of ESRD, with mutations in COL4A5 or compound heterozygous mutations in COL4A3 and/or COL4A4.

Samples and DNA extraction

Genomic DNA was extracted from EDTA peripheral blood samples using Lab‐Aid® 824 DNA Extraction Kit according to the manufacturer's protocol (ZEESAN, Xiamen, China).

Custom panel design

In order to perform mutational screening of patients presenting with a clinical suspicion of AS, we created a custom panel for COL4A3, COL4A4, and COL4A5 genes using the“Ion AmpliSeq™ designer” software (www.ampliseq.com). We targeted the coding regions and all the flanking introns up to 50 bps. The 3′ and 5′ UTR were not included in the panel design. The total coverage of the panel for the three genes was 99.87%, with 9 bps being left out from COL4A4, 87 bps being left out from COL4A3 and 94 bps from COL4A5 and it consisted of two different PCR primers pools containing 98 and 96 amplicons respectively, with amplicon sizes ranged from 189 to 238 bps. All missing regions were screened in all samples with Sanger sequencing.

Ion torrent PGM sequencing

The library preparation was performed by amplifying 10 ng of genomic DNA, using the Ion AmpliSeq™ Library Kit 2.0 (Life Technologies). This kit allowed obtaining a barcoded library of the 194 amplicons, corresponding to the 151 exons of COL4A3/COL4A4/COL4A5 genes compatible with the Ion PGM platform, according to the Life Technologies protocol. Libraries were purified using Agencourt® AMPure® XP system and quantified using the Qubit® dsDNA HS Assay Kit reagent (Invitrogen Corporation, Life Technologies, Carlsbad, CA), pooled at an equimolar ratio, annealed to carrier spheres (Ion Sphere™ Particles, Life Technologies) and clonally amplified by emulsion PCR (emPCR) using the Ion OneTouch™ 2 system (Ion PGM™ Template Hi‐Q™ view OT2 200 kit, Life Technologies). The spheres, carrying single‐stranded DNA templates, were loaded to 316™v2 chip and sequenced on the Ion Torrent PGM, using the Ion PGM™ Hi‐Q™ view Sequencing 200 kit v2, according to the protocol of Life Technologies. Postrun analysis was conducted using the latest version (v5.0.4) of the data analysis software Torrent Suite™ (Life Technologies). Coverage assessment was performed using the “coverage Analysis” plug‐in (v5.0.4) that gives information about the amplicons read coverage and variants were called using the “variant Caller” plug‐in (5.0.4).

Real‐time PCR

To identify the fragment deletion, real‐time PCR was performed using a SYBR Green PCR kit (TAKARA) in a Real‐Time PCR Detection System (BIO‐RAD IQ2). Melting curve analysis was performed to ensure the amplification of a single product. The data were analyzed according to the comparative Ct method. Relative quantification (RQ) = 2‐∆∆Ct.

RESULTS

Identification of candidate mutations in COL4A3, COL4A4, and COL4A5

In the 29 patients, we identified 20 missense mutations, two nonsense mutations, three frameshift mutations, two deletion mutations, and five splicing site mutations. Among these, 10 were known mutations that had been reported previously and 22 were novel ones (Table 2); 50% (16/32) were new amino acid substitutions of glycine. These candidate mutations were validated by Sanger sequencing. The predicted clinical significances of these mutations are listed in Table 2 and the criteria of clinical significance are based on American College of Medical Genetics (Richards et al., 2015).
Table 2

Mutations detected in COL4A3, COL4A4, and COL4A5

Sample IIDGene SymbolZygosityFunctioncHGVSpHGVSClinical significanceFr.1Fr.2Fr.3Comment
1COL4A5hemMissensec.3799G > Ap.(Gly1267Ser)VUSNovel
2COL4A5hemMissensec.1717G > Ap.(Gly573Ser)VUSNovel
3 COL4A5 hetMissensec.4550G > Ap.(Arg1517His)LP0.00002Known (Cheong, Park, Ha, & Choi, 2000)
hetNonsensec.4705C > Tp.(Arg1569Ter)P Known (Zhou et al., 1993)
4COL4A5hemMissensec.2210G > Ap.(Gly737Asp)VUSNovel
5COL4A5hemDeletiondel ex37−46PNovel
6COL4A5hemDeletiondel ex35−36PNovel
7COL4A5hetFrameshiftc.3306_3313delp.(Pro1103Alafs*31)PNovel
8COL4A5hemMissensec.2723G > Ap.(Gly908Glu)VUSNovel
9COL4A5hetFrameshiftc.1151delTp.(Pro385Leufs *89)PNovel
10COL4A5hetMissensec.4175T > Cp.(Leu1392Pro)VUS0.000030.000529Novel
11COL4A5hetMissensec.1754G > Cp.(Gly585Ala)VUSNovel
12COL4A5hetMissensec.1807G > Ap.(Gly603Ser)VUSNovel
13COL4A5hemMissensec.2597G > Ap.(Gly866Glu)LPKnown (Renieri et al., 1996)
14COL4A5hetFrameshiftc.3706delCp.(Pro1237Qlnfs*68)PNovel
15COL4A5hetMissensec.973G > Ap.(Gly325Arg)LPKnown (Knebelmann et al., 1992)
16COL4A5hemMissensec.4462G > Cp.(Gly1487Ala)LPKnown (Plant, Green, Vetrie, & Flinter, 1999)
17COL4A5hemMissensec.1957G > Ap.(Gly653Arg)LPKnown (Boye et al., 1995)
18COL4A5hetMissensec.2215C > Gp.(Pro739Ala)VUS0.00280.00340.011416Known (F. Wang et al., 2012)
19COL4A5hemMissensec.3535G > Ap.(Gly1179Arg)LP0Known (Nagel, Nagorka, & Gross, 2005)
20COL4A5hemMissensec.2632G > Ap.(Gly878Arg)VUSNovel
21COL4A5hetMissensec.688G > Ap.(Gly230Ser)VUSNovel
22COL4A5hemMissensec.1616G > Tp.(Gly539Val)VUSNovel
23COL4A5hetMissensec.2351G > Tp.(Gly784Val)VUSNovel
24COL4A5hemSplicingc.277‐1G > TP0Known (Plant et al., 1999)
25COL4A5hemSplicingc.439‐1G > APKnown (Hanson, Storey, Pagan, & Flinter, 2011)
26COL4A5hetSplicingc.2395 + 2T>CPNovel
27COL4A5hetSplicingc.1339 + 3A>TVUSNovel
COL4A4hetMissensec.4421C > Tp.(Thr1474Met)VUS0.0004–0.00010.00015Novel
28COL4A4hetMissensec.4421C > Tp.(Thr1474Met)VUS0.0004–0.00010.00015Novel
hetSplicingc.694‐2A > CPNovel
29COL4A3hetMissensec.3356G > Ap.(Gly1119Asp)VUS0.0000080.000012Novel
COL4A4hetNonsensec.5026C > Tp.(Gln1676Ter)LPNovel

IID, individual ID, het, heterozygous, hem, hemizygous, LP, likely Pathogenic, p, pathogenic and VUS, variant uncertain significance.

COL4A3 reference transcript NM_000091.4; COL4A4 reference transcript NM_000092.4; COL4A5 reference transcript NM_033380.

Fr.1: Frequency in 1,000 genome database

Fr.2: Frequency in ExAC

Fr.3: Frequency in CNGMD (Chinese Gene Mutation Database)

The criteria of clinical significance are based on American College of Medical Genetics.

Mutations detected in COL4A3, COL4A4, and COL4A5 IID, individual ID, het, heterozygous, hem, hemizygous, LP, likely Pathogenic, p, pathogenic and VUS, variant uncertain significance. COL4A3 reference transcript NM_000091.4; COL4A4 reference transcript NM_000092.4; COL4A5 reference transcript NM_033380. Fr.1: Frequency in 1,000 genome database Fr.2: Frequency in ExAC Fr.3: Frequency in CNGMD (Chinese Gene Mutation Database) The criteria of clinical significance are based on American College of Medical Genetics. There are two patients with AS carrying two mutations in two distinct collagen IV genes. In AS patient IID27, the two mutations in COL4A5 and COL4A4 were inherited independently, likely indicating an in trans configuration. There is a splicing site mutation c.1339 + 3A>T in COL4A5, inherited from her mother and a missense mutation c.4421C > T (p. (Thr1474Met)) inherited from her father (Figure 1a). In AS patient IID29, in addition to a glycine substitution (p. (Gly1119Asp)) in COL4A3 in the heterozygous state, there was another heterozygous nonsense mutation c.5026C > T in COL4A4 genes. The two mutations were in cis configuration, inherited together on the same chromosome from her father (Figure 1b).
Figure 1

The identification of fragment deletions in COL4A5. (a) The PCR quantification results of IID5. The comparison of quantification of exons 37–46 of COL4A5 between patient IID5 and controls. (b) The PCR quantification results of IID6. The comparison of quantification of exons 35–36 of COL4A5 between patient IID6 and controls. RQ, real‐time quantitative PCR

The identification of fragment deletions in COL4A5. (a) The PCR quantification results of IID5. The comparison of quantification of exons 37–46 of COL4A5 between patient IID5 and controls. (b) The PCR quantification results of IID6. The comparison of quantification of exons 35–36 of COL4A5 between patient IID6 and controls. RQ, real‐time quantitative PCR

Identification of fragment deletions in COL4A5

There are two patients carrying fragment deletion in COL4A5, which were validated by qPCR (Figure 2). A hemizygous deletion of exon 37–46 was identified in IID5 (Figure 2a), who had hematuria and proteinuria at age 8, and the deletion was inherited from his mother, who had hematuria. In IID6, who had intermittent hematuria and proteinuria since age 2, there was a hemizygous deletion of exon35‐36 (Figure 2b) and the deletion was inherited from his mother, who had hematuria and proteinuria.
Figure 2

(a) and (c): The pedigrees of the Alport syndrome (AS) family with putative digenic inheritance. (b) and (d): The new variants and flanking sequences are shown. Pr: proteinuria, He: hematuria, CKD: chronic kidney disease

(a) and (c): The pedigrees of the Alport syndrome (AS) family with putative digenic inheritance. (b) and (d): The new variants and flanking sequences are shown. Pr: proteinuria, He: hematuria, CKD: chronic kidney disease

DISCUSSION

Of the 29 AS patients, 26 showed X‐linked inheritance (mutations in COL4A5), one showed autosomal recessive inheritance, and two showed DI. Among 32 mutations, 16 (50%) were new amino acid substitutions of glycine. Indeed, glycine substitutions within the repetitive triplet sequence (Gly)‐X‐Y of the collagenous domain represent one of the most common type of pathogenic variant found in AS patients (Liu et al., 2017), as they are suspected to introduce kinks in the molecule, thus interfering with the proper folding of the collagen triple helix (Kashtan, 1993; Wang, Ding, Wang, & Bu, 2004). Overall, symptoms of female in XLAS exhibited more modest clinical manifestations than male in XLAS; patients with nonsense mutations, frameshift mutations, deletion mutations and splicing mutations presented relatively more severe symptoms than others. Female patients IID7 (p. (Pro1103Alafs*31)), IID9 (p.(Pro385Leufs *89)), and II26 (c.2395 + 2T>C) exhibited only moderate proteinuria, microscopic hematuria, and normal renal function. Male patients IID27 (c.2146 + 2T>A) and IID5 (deletion of exon37‐46) presented relatively more severe symptoms, such as grosser hematuria or proteinuria and chronic kidney disease (CKD) and IID24 showed grosser hematuria, proteinuria and extra renal manifestations (Table 1). Patients IID6 (deletion of exon35‐36) and IID25 (c.439‐1G > A) exhibited the modest clinical symptoms, but considering their young age, further follow‐up is necessary for their clinical symptoms. IID3 with compound heterozygosity mutations (p. (Arg1517His) and p. (Arg1569Ter)) in COL4A5 inherited from her parents showed grosser hematuria, proteinuria, CKD and with extra renal manifestations. Although the two mutations have been reported as pathogenic, her mother with p.(Arg1569Ter) exhibited similar severe symptoms to the proband and her son (6 years)with p.(Arg1569Ter) presented hematuria and proteinuria; however, her father with p.(Arg1517His) did not presented any symptoms related to AS. This may be attributed to inter‐familial phenotypic variability. The patient IID28 with acute tubular injury carried two mutations (p. (Thr1474Met) from mother in COL4A4 and c.694‐2A > C from father in COL4A4) and showed autosomal recessive inheritance. Her father (69 years) exhibited hematuria, proteinuria and extra renal manifestations and was diagnosed with ADAS. Her mother (67 years) exhibited hematuria and proteinuria. This may indicate that splicing mutation c.694‐2A > C probably played a dominant role in patient IID28. In this study, using NGS (Ion Torrent PGM platform), we identified two AS families harboring mutations in two distinct collagen IV genes (digenic model) (Table 2). In patient IID27, we detected a de novo mutation in COL4A5 combined with a COL4A4 mutation. The female patient presents a severe phenotype, showing hematuria, proteinuria, and CKD. Her mother with c.1339 + 3A>T in COL4A5 and her father with a missense mutation c.4421C > T in COL4A4 had intermittent hematuria and proteinuria. In proband of family 29, in addition to a glycine substitution (p. (Gly1119Ala)) in COL4A3 in the heterozygous state, there was another heterozygous nonsense mutation c.5026C > T in COL4A4 genes. The two mutations were in cis configuration, inherited together on the same chromosome from her father. The proband exhibited hematuria, proteinuria, and renal insufficiency and her father showed microhematuria and proteinuria. This may be attributed to intrafamilial phenotypic variability. In this case, the inheritance pattern mimics an autosomal dominant form with a recurrence risk of 50%. However, the phenotype is more severe compared to an autosomal dominant pattern (Fallerini et al., 2017). This may indicate that AS patients with mutations in two different collagen genes show a more severe phenotype compared with those with a single mutation (Liu et al., 2017). According to the stoichiometry of the molecules of the triple helix, in double heterozygotes, about 75% of triple helix molecules are expected to be defective, which is > 50% in heterozygotes and < 100% in homozygotes or hemizygotes (Mencarelli et al., 2015). Therefore, in the case with mutations on the same autosomal chromosome (in cis) (family 30), a clinical re‐evaluation on the basis of molecular data highlights the importance of considering a worse prognosis in comparison with an autosomal dominant mode of inheritance.(Artuso et al., 2012; Fallerini et al., 2014; Mencarelli et al., 2015; Pescucci et al., 2004). Conversely, a better prognosis should be considered in comparison with an autosomal recessive mode of inheritance, if the two mutations are independently inherited (in trans) (Fallerini et al., 2017; Wang et al., 2014; Zhang et al., 2012). We analyzed the frequencies of the identified variant c. 2215C > G in COL4A5 from IID18 in ExAC (0.28%), 1,000 genome (0.34%) database and Chinese Gene Mutation Database (http://cngmd.virgilbio.com) (1.14% (more low in Han people (0.93%)). But more than 5% in the Japanese healthy population have this variant in COL4A5 (http://www.hgvd.genome.med.kyoto-u.ac.jp/cgi-bin/frequency_plot.cgi?chr=chrX&range=107846262-107846262-4&org_xml:id=1). The result may imply that there are some differences at some variants among different populations. The proband was a 9‐year‐old female with first onset of gross hematuria at the age of 6. By the age of 7 years, she had already developed proteinuria, and laboratory investigation also confirmed high plasma creatinine. His mother showed intermittent microhematuria and proteinuria, and progressed to chronic kidney disease. Her grandmother and two sisiters exhibited hematuria and proteinuria. This mutation was shown to co‐segregate with the AS phenotype in the family. In addition, it has been reported that the c.2215C > G mutation may be one of pathogenic mutations underlying FSGS in Chinese (Zhang, Yang, & Hu, 2017). Therefore, we think that it was worth to discuss the clinical significance of this variant in Chinese. In fact, we also found eight patients carrying a heterozygosity mutation in COL4A4 or COL4A3. These probands showed hematuria, low dose of proteinuria, and TBM, but was absence of a family history of ESRD (data not shown). Considering the modest clinical symptoms and their young age, further follow‐up is necessary for their clinical symptoms (Mochizuki et al., 1994). This will be attributed to diagnosis these probands as ADAS or thin basement membrane nephropathy, which is also related to mutations in collagen IV genes (Stokman et al., 2016). In conclusion, genetic testing is of great and increasing importance for diagnosing AS. The development of NGS has made possible the time‐ and cost‐effective and accurate analysis of the three genes in a single step (Artuso et al., 2012; Moriniere et al., 2014). In this study, we think it is important to consider these transmission patterns in the clinical evaluation according to the results of genetic testing. The diversity of inheritance pattern in COL4A3, COL4A4, and COL4A5 can help us to explain the variable clinical expression of the disease. The identification of transmission patterns by NGS permit us to consider the recurrence risk in the families and make more reasonable genetic and prenatal counseling for AS.

CONFLICT OF INTEREST

The authors report no relevant conflicts of interests related to the manuscript.
  36 in total

1.  Genotype-phenotype correlation in X-linked Alport syndrome.

Authors:  Mir Reza Bekheirnia; Berenice Reed; Martin C Gregory; Kim McFann; Alireza Abdollah Shamshirsaz; Amirali Masoumi; Robert W Schrier
Journal:  J Am Soc Nephrol       Date:  2010-04-08       Impact factor: 10.121

2.  Improving mutation screening in familial hematuric nephropathies through next generation sequencing.

Authors:  Vincent Morinière; Karin Dahan; Pascale Hilbert; Marieline Lison; Said Lebbah; Alexandra Topa; Christine Bole-Feysot; Solenn Pruvost; Patrick Nitschke; Emmanuelle Plaisier; Bertrand Knebelmann; Marie-Alice Macher; Laure-Hélène Noel; Marie-Claire Gubler; Corinne Antignac; Laurence Heidet
Journal:  J Am Soc Nephrol       Date:  2014-05-22       Impact factor: 10.121

3.  [Study of a family affected with focal segmental glomerulosclerosis due to mutation of COL4A5 gene].

Authors:  Jing Zhang; Jing Yang; Zhangxue Hu
Journal:  Zhonghua Yi Xue Yi Chuan Xue Za Zhi       Date:  2017-06-10

4.  Mutational analysis of COL4A5 gene in Korean Alport syndrome.

Authors:  H I Cheong; H W Park; I S Ha; Y Choi
Journal:  Pediatr Nephrol       Date:  2000-02       Impact factor: 3.714

5.  X-linked Alport syndrome: natural history in 195 families and genotype- phenotype correlations in males.

Authors:  Jean Philippe Jais; Bertrand Knebelmann; Iannis Giatras; Mario DE Marchi; Gianfranco Rizzoni; Alessandra Renieri; Manfred Weber; Oliver Gross; Kai-Olaf Netzer; Frances Flinter; Yves Pirson; Christine Verellen; Jörgen Wieslander; Ulf Persson; Karl Tryggvason; Paula Martin; Jens Michael Hertz; Cornelis Schröder; Marek Sanak; Sarka Krejcova; Maria Fernanda Carvalho; Juan Saus; Corinne Antignac; Hubert Smeets; Marie Claire Gubler
Journal:  J Am Soc Nephrol       Date:  2000-04       Impact factor: 10.121

6.  Autosomal-dominant Alport syndrome: natural history of a disease due to COL4A3 or COL4A4 gene.

Authors:  Chiara Pescucci; Francesca Mari; Ilaria Longo; Paraskevi Vogiatzi; Rossella Caselli; Elisa Scala; Cataldo Abaterusso; Rosanna Gusmano; Marco Seri; Nunzia Miglietti; Elena Bresin; Alessandra Renieri
Journal:  Kidney Int       Date:  2004-05       Impact factor: 10.612

7.  Meta-analysis of genotype-phenotype correlation in X-linked Alport syndrome: impact on clinical counselling.

Authors:  Oliver Gross; Kai-Olaf Netzer; Romy Lambrecht; Stefan Seibold; Manfred Weber
Journal:  Nephrol Dial Transplant       Date:  2002-07       Impact factor: 5.992

8.  Skin biopsy is a practical approach for the clinical diagnosis and molecular genetic analysis of X-linked Alport's syndrome.

Authors:  Fang Wang; Dan Zhao; Jie Ding; Hongwen Zhang; Yanqin Zhang; Lixia Yu; Huijie Xiao; Yong Yao; Xuhui Zhong; Suxia Wang
Journal:  J Mol Diagn       Date:  2012-08-21       Impact factor: 5.568

Review 9.  The expanding phenotypic spectra of kidney diseases: insights from genetic studies.

Authors:  Marijn F Stokman; Kirsten Y Renkema; Rachel H Giles; Franz Schaefer; Nine V A M Knoers; Albertien M van Eerde
Journal:  Nat Rev Nephrol       Date:  2016-07-04       Impact factor: 28.314

10.  Novel mutations of COL4A3, COL4A4, and COL4A5 genes in Chinese patients with Alport Syndrome using next generation sequence technique.

Authors:  Xuechao Zhao; Chen Chen; Yanfu Wei; Ganye Zhao; Lina Liu; Conghui Wang; Junjun Zhang; Xiangdong Kong
Journal:  Mol Genet Genomic Med       Date:  2019-04-09       Impact factor: 2.183

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  14 in total

1.  Preimplantation Genetic Testing Prevented Intergenerational Transmission of X-Linked Alport Syndrome.

Authors:  Xiaoling Hu; Jiahui Zhang; Yuan Lv; Xijing Chen; Guofang Feng; Liya Wang; Yinghui Ye; Fan Jin; Yimin Zhu
Journal:  Kidney Dis (Basel)       Date:  2021-09-09

2.  COL4A4 variant recently identified: lessons learned in variant interpretation-a case report.

Authors:  Jenelle Cocorpus; Megan M Hager; Corinne Benchimol; Vanesa Bijol; Fadi Salem; Sumit Punj; Laura Castellanos; Pamela Singer; Christine B Sethna; Abby Basalely
Journal:  BMC Nephrol       Date:  2022-07-16       Impact factor: 2.585

3.  Identification of four genes and biological characteristics associated with acute spinal cord injury in rats integrated bioinformatics analysis.

Authors:  Qiang Li; Bo Li; Bo Tao; Chenxi Zhao; Baoyou Fan; Qi Wang; Chao Sun; Huiquan Duan; Yilin Pang; Xuanhao Fu; Shiqing Feng
Journal:  Ann Transl Med       Date:  2021-04

4.  Identification of four novel mutations in the COL4A5 gene identified in Chinese patients with X-linked Alport syndrome.

Authors:  Xuechao Zhao; Xueliang Shang; Chen Chen; Lina Liu; Conghui Wang; Ganye Zhao; Junjun Zhang; Xiangdong Kong
Journal:  Biomed Rep       Date:  2020-06-09

5.  An overview of the multi-pronged approach in the diagnosis of Alport syndrome for 22 children in Northeast China.

Authors:  Li Zhang; Bai-Chao Sun; Bing-Gang Zhao; Qing-Shan Ma
Journal:  BMC Nephrol       Date:  2020-07-23       Impact factor: 2.388

6.  Novel mutations of COL4A3, COL4A4, and COL4A5 genes in Chinese patients with Alport Syndrome using next generation sequence technique.

Authors:  Xuechao Zhao; Chen Chen; Yanfu Wei; Ganye Zhao; Lina Liu; Conghui Wang; Junjun Zhang; Xiangdong Kong
Journal:  Mol Genet Genomic Med       Date:  2019-04-09       Impact factor: 2.183

7.  miR-155-5p Promotes Dorsal Root Ganglion Neuron Axonal Growth in an Inhibitory Microenvironment via the cAMP/PKA Pathway.

Authors:  Tianyi Wang; Bo Li; Zhijie Wang; Xin Yuan; Chuanjie Chen; Yanjun Zhang; Ziwei Xia; Xin Wang; Mei Yu; Wen Tao; Liang Zhang; Xu Wang; Zheng Zhang; Xiaoling Guo; Guangzhi Ning; Shiqing Feng; Xueming Chen
Journal:  Int J Biol Sci       Date:  2019-06-02       Impact factor: 6.580

8.  Identification of adhesion-associated DNA methylation patterns in the peripheral nervous system.

Authors:  Shanhuai Zuo; Guidong Shi; Jianchao Fan; Baoyou Fan; Xiaolei Zhang; Shen Liu; Yan Hao; Zhijian Wei; Xianhu Zhou; Shiqing Feng
Journal:  Exp Ther Med       Date:  2020-11-18       Impact factor: 2.447

9.  miR-30b Promotes spinal cord sensory function recovery via the Sema3A/NRP-1/PlexinA1/RhoA/ROCK Pathway.

Authors:  Xin Wang; Bo Li; Zhijie Wang; Fengyan Wang; Jing Liang; Chuanjie Chen; Lei Zhao; Bo Zhou; Xiaoling Guo; Liqun Ren; Xin Yuan; Xueming Chen; Tianyi Wang
Journal:  J Cell Mol Med       Date:  2020-09-25       Impact factor: 5.310

10.  The Impact of Icariside II on Human Prostate Cancer Cell Proliferation, Mobility, and Autophagy via PI3K-AKT-mTOR Signaling Pathway.

Authors:  Shuang Li; Yunlu Zhan; Yingwei Xie; Yonghui Wang; Yuexin Liu
Journal:  Drug Des Devel Ther       Date:  2020-10-08       Impact factor: 4.162

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