Literature DB >> 34324271

Molecular analysis of 53 Chinese families with Wilson's disease: Six novel mutations identified.

Zhongyan Xiao1,2, Yuan Yang1,3, Hui Huang1, Haiyan Tang1, Liqun Liu4, Jianguang Tang5, Xiaoliu Shi1.   

Abstract

BACKGROUND: Wilson's disease (WD) is a rare autosomal recessive inherited disorder that is induced by defects of the ATP7B gene and characterized by damage to the liver and nervous system caused by aberrant copper metabolism. The identification of pathogenic mutations on two homologous chromosomes has become the gold standard for the diagnosis of WD.
METHODS: Sanger sequencing and multiplex ligation-dependent probe amplification (MLPA) were combined to establish a genetic diagnosis for patients from 53 unrelated Chinese WD families.
RESULTS: Biallelic mutations were detected by Sanger sequencing in 50 of the probands, while single heterozygous mutations were detected in the remaining three probands. A total of 45 diverse pathogenic mutations were detected, and 6 previously unreported mutations were involved. Five asymptomatic patients were screened from 85 family members of 38 probands participating in the study.
CONCLUSION: This study contributes to the enlargement of the mutational spectrum of the ATP7B gene among the population of China and highlights the significance of genetic testing for asymptomatic patients.
© 2021 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals LLC.

Entities:  

Keywords:  zzm321990ATP7Bzzm321990; Wilson's disease; mutation

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Year:  2021        PMID: 34324271      PMCID: PMC8457707          DOI: 10.1002/mgg3.1735

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


INTRODUCTION

Wilson's disease (WD, OMIM#277900) is an autosomal recessive inherited disease that is characterized by liver cirrhosis and brain degenerative diseases dominated by basal ganglia damage caused by a copper metabolism disorder. In 1912, Kinnier Wilson first described the clinical and genetic characteristics of a group of WD patients in some detail (Compston, 2009). ATP7B (OMIM#606882) is the only disease‐causing gene of WD that consists of 21 exons and 20 introns (approximately 80 kb), and it is located at 13q14.3 (Bull et al., 1993). The P‐type ATPase is encoded by ATP7B gene and plays an important role in the transformation of apoceruloplasmin into holoceruloplasmin and the excretion of excess copper in bile (Petrukhin et al., 1994). A prevalence of 1/100,000–1/30,000 and a carrier frequency of 1/90 based on previous clinical studies has been recognized and cited extensively (Ala et al., 2007). A higher prevalence is observed in Asian countries than in Western countries. From 2010 to 2012, Chinese scholars conducted two epidemiological surveys based on clinical studies in three counties of the Anhui Province. In all, 153,370 people were investigated, and the estimated prevalence of WD was 1/17,000 (Hu et al., 2011; Wenbin et al., 2012). With the identification of the ATP7B gene and the development of technology, genetic testing has gradually become a conventional detection method and a useful tool in epidemiological investigations. In recent years, several epidemiological surveys based on ATP7B gene sequencing have been respectively conducted in the United Kingdom, France, South Korea, and Hong Kong. Based on these surveys, the estimates of the carrier frequency of disease‐causing mutations were raised to approximately 1/40 (Coffey et al., 2013; Collet et al., 2018; Jang et al., 2017; Mak et al., 2008), which was higher than the previous estimation. A cause of this tremendous difference may be the incomplete penetrance (Sandahl et al., 2020), which needs to be further studied. The age at onset of WD patients was mainly concentrated between the ages of 5 and 35 years. However, patients aged 8 months to 72 years have also been reported in previous studies (Abuduxikuer et al., 2015; Ala et al., 2005). The initial symptoms of WD patients can be hepatic manifestations (40%–50%), neurological manifestations (30–40%) or Psychiatric manifestations (10%–25%) (Cleymaet et al., 2019). In most sufferers, the slow onset of the disease is associated with gradual aggravation. The state of the illness could fluctuate during the course of disease. A few patients have acute onset, and stroke‐like onset can even appear (Pan et al., 2018). As a treatable genetic disease, early diagnosis and decoppering chelation are of great significance (Członkowska et al., 2018). Nevertheless, the disease has strong clinical heterogeneity and sometimes defies diagnosis by clinical experience alone. Genetic testing has become an increasingly important method of early, rapid, and accurate diagnosis. In 2001, participants at the International Liver Congress in Leipzig, Germany developed a diagnostic scoring system for WD ("8th International Conference on Wilson Disease and Menkes Disease. Leipzig, Germany, April 16–18, 2001. Abstracts," 2001), in which the identification of two allelic mutations within the ATP7B gene were deemed to be the gold standard for a definite diagnosis.

MATERIALS

Editorial policies and ethical considerations

The contents of the research conformed to the moral code of the Declaration of Helsinki. Authorization was obtained from the Review Board of the Second Xiangya Hospital of Central South University. Informed consent was acquired from the participants or their guardians after adequate explanation.

Object

Fifty‐three unrelated Chinese WD patients (23 males and 30 females) were enrolled in study and are numbered 1–53. All the enrolled patients went to the Second Xiangya Hospital of Central South University and were diagnosed according to the Leipzig scoring system from 2015 to 2020, and some of them had been diagnosed before at other hospitals. In addition, a total of 85 members from 38 of these families were recruited for the study.

Experimental methods

Sample collection and DNA extraction

Peripheral blood from probands and their relatives was drawn. Genomic DNA was extracted (QIAGEN, Germany) and stored at ‐ 20 ℃.

Genetic testing and result interpretation

Primers were designed through the Primer3 online website (https://primer3.ut.ee/) and verified by primer‐blast (https://www.ncbi.nlm.nih.gov/tools/primer‐blast). Carte blanche was given to Tsingke Biotech (Hunan, China) for the synthesis of primers (Table S1). Polymerase chain reaction (PCR) was performed to amplify promoter region, all 21 exons and their flanking introns of ATP7B gene of the probands (RefSeq: NM_000053.4). The products were verified by agarose gel electrophoresis and then delivered to Biosune Biotech for sequencing by an ABI 3730XL Genetic Analyzer (ABI). To explore the distribution of each mutation in the family and identify potential patients, we screened the corresponding mutation sites in 85 willing individuals, including the probands’ parents, siblings and the next generation, from 38 families. The prediction of the damaging effects of detected mutations was accomplished by bioinformatic analysis websites such as Sift, Polyphen2, Human Splicing Finder, and Mutation Taster. Comprehensive assessments of the clinical effects of all the mutations were performed according to the ACMG guidelines (Richards et al., 2015). To screen for potential intragenic deletions/duplications of the ATP7B gene, MLPA was performed in the probands with only a single heterozygous mutation detected through Sanger sequencing. The implementation of MLPA was supported by Primbio Genes Biotech.

RESULTS

By direct sequencing, we detected 45 different ATP7B gene mutations that could be evaluated as "pathogenic" or "likely pathogenic" according to the ACMG guidelines, including 26 missense mutations, 5 splicing mutations, 4 nonsense mutations, 1 in‐frame deletion, 8 frameshift mutations, and 1 synonymous mutation. Among them, six mutations, including three missense mutations (NM_000053.4: c.3215G>T, c.3265G>A, c.3542T>A) and three frameshift mutations (NM_000053.4: c.631_632delAA, c.2887_2887delC, c.2932_2933insG) (Figure 1a–f), have not been reported before. MLPA was performed in three of the probands (No.46, 52 and 53) in whom only one mutation was detected but no large intragenic deletions/duplications of ATP7B gene were found (Figure S1).
FIGURE 1

Mutation spectrum of the ATP7B gene (NM_000053.4) in this study. (a)‐(e) Six novel mutations detected in this study which were indicated by arrows. The lower nucleotide sequence is the abnormal sequence and the upper one is the normal. (a) c.631_632delAA (b) c.2932_2933insG (c) c.3265G>A (d) c.3542T>A (e) c.2887_2887delC (f) c.3215G>T (g) The distribution of 45 mutations on the ATP7B gene; novel mutations are noted with a * behind

Mutation spectrum of the ATP7B gene (NM_000053.4) in this study. (a)‐(e) Six novel mutations detected in this study which were indicated by arrows. The lower nucleotide sequence is the abnormal sequence and the upper one is the normal. (a) c.631_632delAA (b) c.2932_2933insG (c) c.3265G>A (d) c.3542T>A (e) c.2887_2887delC (f) c.3215G>T (g) The distribution of 45 mutations on the ATP7B gene; novel mutations are noted with a * behind Most of the probands involved in this study were compound heterozygotes (38/53), while the others were homozygotes (12/53) and heterozygotes (3/53) (Table S2). The distribution and allele frequency of all the mutations are shown in Figure 1g and Table 1, respectively. Most of the mutations occurred in exons 8, 11, 12, 13, and 16, accounting for 67.0% (69/103) of all. The most frequent mutations were NM_000053.4: c.2333G>T, p.Arg778Leu (allele frequency: 22.64%) and NM_000053.4: c.2975C>T, p.Pro992Leu (allele frequency: 13.21%), which was in accordance with a previous report (Li et al., 2011). A total of 85 family members participating in this study consisted of five asymptomatic patients, 74 heterozygous carriers and 6 normal individuals. All the five asymptomatic patients were siblings of probands from families 8, 11, 12, 15, and 29, respectively.
TABLE 1

The 45 pathogenic/likely pathogenic mutations of ATP7B gene (NM_000053.4) identified in the 53 probands

Nucleotide changeAmino acid changeLocationMutation typeArea of proteinAllele frequency (%)Minor allele frequency (%)Classification according to ACMG
1000GExAC
c.523_524insAp. Val176Serfs*28Exon2FrameshiftCu21.890.0025Pathogenic (PVS1+PM2+PP3+PP5)
c.631_632delAAa p.Lys211Glufs*12Exon2FrameshiftCu2/Cu30.94Pathogenic (PVS1+PM2+PP3+PP5)
c.994G>Tp.Glu332*Exon2NonsenseCu3/Cu40.94Pathogenic (PVS1+PM2+PP3+PP5)
c.1475T>Cp.Leu492SerExon2MissenseCu51.89Likely pathogenic (PS3+PM3+PP3+PP5)
c.1543+1G>TIntron2SplicingCu50.94Pathogenic (PVS1+PM2+PP3+PP5)
c.1708‐5T>GIntron4SplicingCu60.940.0008Likely pathogenic (PM2+PM3+PP3+PP5)
c.1708‐1G>CIntron4SplicingCu61.890.020.003Pathogenic (PVS1+PM2+PP3+PP5)
c.2078C>Gp.Ser693CysExon7MissenseTM20.94Likely pathogenic (PM2+PM3+PP3+PP5)
c.2145C>Ap.Tyr715*Exon8NonsenseTM2/TM30.94Pathogenic (PVS1+PM2+PP3+PP5)
c.2145C>Tp.Tyr715=Exon8SynonymousTM2/TM30.940.01325Likely pathogenic (PM2+PM3+PP3+PP5)
c.2333G>Tp.Arg778LeuExon8MissenseTM422.640.016Pathogenic (PS4+PM1+PM2+PP3+PP5)
2375_2375delTp.Leu792Argfs*15Exon9FrameshiftTM4/Td0.94Pathogenic (PVS1+PM2+PP3)
c.2447+5G>TIntron9SplicingTM4/Td0.94Pathogenic (PVS1+PM2+PP3)
c.2549C>Tp.Thr850IleExon10MissenseTd2.830.0008Likely pathogenic (PM2+PM3+PP3+PP5)
c.2621C>Tp.Ala874ValExon11MissenseTd/TM54.720.007Likely pathogenic (PM2+PM3+PP3+PP5)
c.2659_2659delGp.Ala887Leufs*14Exon11FrameshiftTd/TM50.94Pathogenic (PVS1+PM2+PP3+PP4)
c.2662A>Cp.Thr888ProExon11MissenseTd/TM50.94Likely pathogenic (PM2+PM3+PP3+PP5)
c.2697_2723del27p.Ile889_Gln907delExon11In‐frame deletionTd/TM50.940.0017Likely pathogenic (PM2+PM3+PP3+PP5)
c.2755C>Gp.Arg919GlyExon12MissenseTd/TM53.770.0017Likely pathogenic (PM1+PM2+PP3+PP5)
c.2785A>Gp.Ile929ValExon12MissenseTM50.940.09Likely pathogenic (PM1+PM2+PP3+PP5)
c.2810delTp.Val937Glyfs*5Exon12FrameshiftTM50.94Pathogenic (PVS1+PM2+PP3+PP5)
c.2827G>Ap.Gly943SerExon12MissenseTM50.940.0017Likely pathogenic (PM2+PM3+PP3+PP5)
c.2828G>Ap.Gly943AspExon12MissenseTM50.940.02Likely pathogenic (PM2+PM3+PP3+PP4)
c.2887_2887delCa p.Gln963Argfs*4Exon13FrameshiftTM5/TM60.94Pathogenic (PVS1+PM2+PP3+PP5)
c.2932_2933insGa p.Val978Glyfs*50Exon13FrameshiftTM60.94Pathogenic (PS4+PM2+PP3)
c.2939G>Ap.Cys980TyrExon13MissenseTM60.94Likely pathogenic (PM2+PM3+PP3+PP5)
c.2975C>Tp.Pro992LeuExon13MissenseTM6/Ph13.210.004Pathogenic (PS4+PM2+PM3+PP3+PP5)
c.3007G>Ap.Ala1003ThrExon13MissenseTM6/Ph0.940.020.002Likely pathogenic (PM2+PM3+PP3+PP5)
c.3089G>Ap.Gly1030AspExon14MissensePh0.94Likely pathogenic (PM2+PM3+PP3+PP5)
c.3215G>Ta p.p.Gly1072ValExon14MissenseATP loop0.94Likely pathogenic (PM2+PM3+PP3+PP5)
c.3243+5G>AIntron14SplicingATP loop0.940.037Likely pathogenic (PM2+PM5+PP3+PP5)
c.3265G>Aa p.Gly1089ArgExon15MissenseATP loop0.94Likely pathogenic (PM2+PM5+PP3+PP5)
c.3311G>Ap.Cys1104TyrExon15MissenseATP loop0.940.0083Likely pathogenic (PM2+PM3+PP3+PP5)
c.3316G>Ap.Val1106IleExon15MissenseATP loop1.890.040.013Likely pathogenic (PM2+PM3+PP3+PP5)
c.3443T>Cp.Ile1148ThrExon16MissenseATP loop3.770.004Likely pathogenic (PM2+PM3+PP3+PP5)
c.3459G>Tp.Trp1153CysExon16MissenseATP loop0.94Likely pathogenic (PM2+PM3+PP3+PP5)
c.3532A>Gp.Thr1178AlaExon16MissenseATP loop2.83Likely pathogenic (PM2+PM3+PP3+PP5)
c.3542T>Aa p.Leu1181GlnExon16MissenseATP loop0.94Likely pathogenic (PM2+PM3+PP3+PP4)
c.3646G>Ap.Val1216MetExon17MissenseATP bind1.890.004Likely pathogenic (PM1+PM2+PP3+PP5)
c.3809A>Gp.Asn1270SerExon18MissenseATP hinge1.890.014Likely pathogenic (PM2+PM3+PP3+PP5)
c.3843dupTp.Val1282Cysfs*22Exon18FrameshiftATP hinge0.94Pathogenic (PS4+PM2+PP3)
c.3884C>Tp.Ala1295ValExon18MissenseATP hinge/TM70.94Likely pathogenic (PM2+PM3+PP3+PP5)
c.3955C>Tp.Arg1319*Exon19NonsenseATP hinge/TM71.890.004Pathogenic (PVS1+PM2+PP3)
c.4112C>Tp.lle1371ProExon20MissenseTM81.89Likely pathogenic (PM2+PM3+PP3+PP5)
c.4114C>Tp.Gln1372*Exon20NonsenseTM80.940.0008Pathogenic (PVS1+PM2+PP3+PP5)

Mutation nomenclature (RefSeq:NM_000053.4).

Abbreviations: a, Novel mutation; ATP bind, ATP bind domain; ATP hinge, ATP hinge domain; ATP loop, ATP loop domain; Cu, copper‐binding domain; Ph, phosphorylation; Td, transduction domain converting energy from ATP hydrolysis to cation transportation; TM, transmembrane domain.

The 45 pathogenic/likely pathogenic mutations of ATP7B gene (NM_000053.4) identified in the 53 probands Mutation nomenclature (RefSeq:NM_000053.4). Abbreviations: a, Novel mutation; ATP bind, ATP bind domain; ATP hinge, ATP hinge domain; ATP loop, ATP loop domain; Cu, copper‐binding domain; Ph, phosphorylation; Td, transduction domain converting energy from ATP hydrolysis to cation transportation; TM, transmembrane domain.

DISCUSSION

Previous studies have suggested that two allelic variants of the ATP7B gene can be identified in approximately 80%–98% of WD patients by direct sequencing (Coffey et al., 2013; Dong et al., 2016; Schmidt, 2009). Gene‐targeted deletion/duplication analysis can be used as a supplement for a few of the patients whose genetic diagnosis cannot be successfully established by direct sequencing (Bost et al., 2012; Chen et al., 2019); although, large ATP7B deletion/duplication has been proven to be rare in practice (Todorov et al., 2016). At present, the number of ATP7B gene pathogenic mutations included in the Human Gene Mutation Database (HGMD) (http://www.hgmd.cf.ac.uk/ac/index.php) has exceeded 800. Most of them are missense mutations but others include nonsense mutations, small insertions/deletions, splicing mutations, etc. The broad mutation spectrum of this gene consists of a few common mutations and a large number of rare mutations. There was great genetic diversity in the mutation spectrum of WD patients from several provinces of mainland China in this study. Forty‐five pathogenic/likely pathogenic mutations were found from 106 chromosomes, including six novel mutations previously unreported. NM_000053.4: c.631_632delAA, c.2887_2887delC, and c.2932_2933insG are three novel mutations that lead to the early termination of amino acid coding and have not been included in the Exome Aggregation Consortium database and 1000 Genomes Project database thus far. They are predicted to be pathogenic by bioinformatics software analysis. Therefore, we classified them as “pathogenic mutations” (PVS1+PM2+PP3). The other three novel missense mutations, NM_000053.4: c.3215G>T, c.3542T>A, and c.3265G>A, are carried at a low frequency in the general population according to the Exome Aggregation Consortium database and 1000 Genomes Project database. Bioinformatics software prediction supported a disease‐causing effect of these mutations on the gene. Probands with these three mutations were all confirmed to be compound heterozygous by parents’ samples. In summary, we classified them as “likely pathogenic mutations” (PM2+PM3+PP3+PP4). Although synonymous mutations could be detected by exome sequencing, it is still a vexing issue to evaluate the pathogenicity of a large number of synonymous mutations. In patient 26 of this cohort, we found a heterozygous synonymous mutation (NM_000053.4: c.2145C>T, P.Y715=) in addition to a common mutation NM_000053.4: c.2333G>T. The patient presented with recurrent ascites and edema of both lower extremities. Imaging methods confirmed the existence of cirrhosis. The copper metabolism test showed a significant decrease in ceruloplasmin (53.3 g/L) and an abnormal increase in 24‐h urine copper (316 µg/24 h). Slit lamp examination confirmed the existence of a K‐F ring. The clinical diagnosis of WD is clear. The synonymous mutation has been included in the ClinVar database, but the pathogenicity is still controversial. It is predicted to be a deleterious mutation with bioinformatics software analysis. It is carried at a low frequency in the general population according to the Exome Aggregation Consortium database (0.01325%) and 1000 Genomes Project database (not included). Nonsense mutation at the same site leading to disease have been reported before (Abuduxikuer & Wang, 2014). Only the synonymous mutation was detected in the sample of her son, confirming that the two mutations constitute a compound heterozygous relationship. These evidences support that the mutation is “likely pathogenic” according to the rules of the ACMG guidelines (PM2+PM3+PP3+PP4). To further clarify its pathogenicity, reverse transcription‐polymerase chain reaction (RT‐PCR) detection using RNA from peripheral leukocytes was performed. However, we could still not determine whether it affected the splicing of mRNA by gel electropherosis due to the existence of the dominant transcript with skipping of exon 8 (RefSeq: NM_001330578.2) (Loudianos et al., 2002). Two allelic mutations were identified by direct sequencing in 50 patients (94%), and a single heterozygous mutation was identified in the remaining three patients (6%). Thus, there was a mutation detection rate of 97% (103/106). MLPA was supplemented for the three probands but the results were still negative, suggesting the rarity of large intragenic deletions/duplications. We consider that the other potential mutations might exist in the deep intron region and affect mRNA splicing, which needs further exploration at the RNA level. Finally, five asymptomatic siblings were screened out in this study, which illustrated that genetic testing can help patients with presymptomatic diagnosis and timely treatment.

CONFLICTS OF INTEREST

Authors vowed that there is no collide of interest.

ETHICS STATEMENT

Authorization was obtained from the Ethics Committee of the Second Xiangya Hospital of Central South University. The reference number was S046 in 2014.

AUTHOR'S CONTRIBUTIONS

Zhongyan Xiao was involved in family recruitment, DNA extraction, analysis and collation of data, and manuscript drafting. Yuan Yang was involved in family recruitment, DNA extraction and genetic analysis of data. Hui Huang carried out blood sampling and genetic analysis of data. Haiyan Tang carried out blood sampling and genetic analysis of data. Liqun Liu have contributed to family recruitment and clinical analysis. Jianguang Tang have contributed to family recruitment and clinical analysis. Xiaoliu Shi supervised the whole study, helped in data analysis, edited, and refined the manuscript. All authors have read and approved the refined manuscript. Table S1‐S2‐Fig S1 Click here for additional data file.
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Journal:  Nat Rev Dis Primers       Date:  2018-09-06       Impact factor: 52.329

5.  The Wilson disease gene is a putative copper transporting P-type ATPase similar to the Menkes gene.

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9.  Intragenic Deletions in ATP7B as an Unusual Molecular Genetics Mechanism of Wilson's Disease Pathogenesis.

Authors:  Theodor Todorov; Prahlad Balakrishnan; Alexey Savov; Piotr Socha; Hartmut H J Schmidt
Journal:  PLoS One       Date:  2016-12-19       Impact factor: 3.240

10.  Molecular analysis of 53 Chinese families with Wilson's disease: Six novel mutations identified.

Authors:  Zhongyan Xiao; Yuan Yang; Hui Huang; Haiyan Tang; Liqun Liu; Jianguang Tang; Xiaoliu Shi
Journal:  Mol Genet Genomic Med       Date:  2021-07-29       Impact factor: 2.183

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  1 in total

1.  Molecular analysis of 53 Chinese families with Wilson's disease: Six novel mutations identified.

Authors:  Zhongyan Xiao; Yuan Yang; Hui Huang; Haiyan Tang; Liqun Liu; Jianguang Tang; Xiaoliu Shi
Journal:  Mol Genet Genomic Med       Date:  2021-07-29       Impact factor: 2.183

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