Literature DB >> 32957937

Identification of missense and synonymous variants in Iranian patients suffering from autosomal dominant polycystic kidney disease.

Fatemeh Khadangi1,2, Adam Torkamanzehi1, Mohammad Amin Kerachian3,4.   

Abstract

BACKGROUND: Autosomal dominant polycystic kidney disease (ADPKD), the predominant type of inherited kidney disorder, occurs due to PKD1 and PKD2 gene mutations. ADPKD diagnosis is made primarily by kidney imaging. However, molecular genetic analysis is required to confirm the diagnosis. It is critical to perform a molecular genetic analysis when the imaging diagnosis is uncertain, particularly in simplex cases (i.e. a single occurrence in a family), in people with remarkably mild symptoms, or in individuals with atypical presentations. The main aim of this study is to determine the frequency of PKD1 gene mutations in Iranian patients with ADPKD diagnosis.
METHODS: Genomic DNA was extracted from blood samples from 22 ADPKD patients, who were referred to the Qaem Hospital in Mashhad, Iran. By using appropriate primers, 16 end exons of PKD1 gene that are regional hotspots, were replicated with PCR. Then, PCR products were subjected to DNA directional Sanger sequencing.
RESULTS: The DNA sequencing in the patients has shown that exons 35, 36 and 37 were non- polymorphic, and that most mutations had occurred in exons 44 and 45. In two patients, an exon-intron boundary mutation had occurred in intron 44. Most of the variants were missense and synonymous types.
CONCLUSION: In the present study, we have shown the occurrence of nine novel missense or synonymous variants in PKD1 gene. These data could contribute to an improved diagnostic and genetic counseling in clinical settings.

Entities:  

Keywords:  Autosomal dominant polycystic kidney disease; Iranian; Mutational analysis; PKD1

Year:  2020        PMID: 32957937      PMCID: PMC7507688          DOI: 10.1186/s12882-020-02069-0

Source DB:  PubMed          Journal:  BMC Nephrol        ISSN: 1471-2369            Impact factor:   2.388


Background

One of the most prevalent inherited kidney disorders that affects both kidneys is autosomal dominant polycystic kidney disease (ADPKD), which leads to a progressive loss of kidney function and kidney failure [1]. About one to two infants in 1000 live at birth, and approximately 10% of people who undergo dialysis are affected by this disease [2, 3]. ADPKD occurs in two types including type I and type II, caused by PKD1 and PKD2 mutations, respectively [4, 5]. PKD2 mutation causes end-stage renal disease at an average age of 74 years, which occurs in 10–15% of cases; on the other hand, PKD1 mutation results in end-stage renal disease at an average age of 54 years which occurs in 80–90% of total cases of ADPKD. The latter is the more severe form of the disease [1, 3, 5]. Patients having end-stage kidney disease should receive renal replacement therapy (RRT) or dialysis to stay alive. However, dialysis has some limitations, including lack of vascular access, risks of vascular thrombosis, infections, diminished quality of life, and loss of the kidney biosynthetic functions [6]. Patients who were diagnosed with ADPKD before age of 30 and patients who have hypertension or hematuria before age of 35, have a worse renal outcome [7]. ADPKD diagnosis is typically carried out by kidney ultrasound imaging, computed tomography scan or magnetic resonance imaging; however, considering the similarity of ADPKD to other cystic kidney disorders, conventional imaging methods do not often lead to a definite diagnosis [1, 2]. Additionaly, molecular methods have an important role to confirm ADPKD diagnosis, especially in young kidney donors, patients with negative family history, individuals who present ADPKD with unusual symptoms in childhood and patients who have relatives suffering from this disorder [8, 9]. ADPKD is the most frequent genetic kidney disorder (frequency of about 0.1%), which results in 5–8% of end-stage renal diseases (ESRDs). ESRD is a progressive, disease with enlarged polycystic kidneys typically occuring in the late middle age [5]. Polycystin-1, is a large multidomain protein encoded by PKD1 gene. It has domains and regions that are homologous with a number of different proteins [10]. Polycystin- 1 has been proposed to act as a G protein–coupled receptor [11]. Instead, polycystin-2 (the protein coded by PKD2) is homologous to an ion-channel subunit [12, 13]. Most cases of ADPKD leading to ESRD are caused by PKD1 mutations [14]. Nevertheless, the genetic determination of the locus mutation has advanced slowly, due to the fact that PKD1 contains a 12,906-bp coding sequence divided into 46 exons and that the 5′ region of the gene, from upstream of exon 1 to exon 33, is inserted in a complex genomic area and repeated more than 4 times on the same chromosome [15]. The polycystic kidney disease 1 gene encodes a 14 kb transcript and lies within a duplicated region on chromosome 16. Homologous sequences searches in a number of databases have found one partial cDNA and two genomic sequences with significant homology to both polycystin-1 and -2 [16]. The PKD1-like homologous gene (HG) has revealed a number of specific deletions and a low level of substitutions (about 2%) in comparison with PKD1 [17]. The HG locus analysis of PKD1 has been highly difficult. Thus, the quantity of identified PKD1 mutations is still incomplete, with 82 modifications described in the Online Human Gene Mutation Database (HGMD) [18]. A multiple number of methods have been used to screen the repeated region [19-23], however, the 3′ area has received insufficient attention, with 57.3% of all mutations found in the single-copy area covering 20% of the coding region. PKD2 (a less-complex gene) has revealed 41 mutations with potential effects of truncating and possibly inactivating the translated protein [24]. A discrete number of missense changes have also been described [19, 23–26]. Since numerous somatic mutations and a significant rate of formation of novel germline mutations are needed to explain cystogenesis [19], it has been proposed that infrequent mechanisms promote a high rate of PKD1 mutations. A long polypyrimidine region in IVS21, which could theoretically form triplex DNA structures [27, 28], has been considered as a possible cause of mutations in downstream exonsequences [22]. These multiple substitutions and other modifications were described to match HG sequences, possibly indicating a gene conversion with the remotely located HG loci [21, 29]. PKD1 gene (OMIM 601313) is located in the 16p13.3 chromosome region and consists of 46 exons. Exons 1–33 of PKD1 replicates around 6 times in HG, which has challenged PKD1 genetic analysis. Until January 2015, approximately 2322 PKD1 sequence variants and 278 PKD2 sequence variants were reported in ADPKD mutation databases, as well as 1177 and 211 human mutations in PKD1 and PKD2 sequences, respectively [16, 17]. Although mutation data for PKD genes of different populations are available, there are few reports for PKD mutations in the Iranian population. The main goal of this study was to establish the frequency of mutations in the PKD1 gene obtained by PCR (Polymerase Chain Reaction) and DNA Sanger sequencing [30] in the Iranian patients with ADPKD diagnosis.

Methods

Patient selection

Twenty-two ADPKD patients were obtained from the Ghaem Hospital; (Mashhad, Iran) between April 2012 to March 2013. They were included after diagnosis and disease characteristics as ADPKD. The study was approved by ethics committee of Mashhad University of Medical Sciences. Before the blood sample were collected, all patients provided their informed consents. We excluded patients later clinically diagnosed by Von Hippel-Lindau disease and Tuberous Sclerosis. In addition, patients without symptoms of polycystic kidney disease or those who had other syndromes were also excluded in this study.

Amplification assay

Genomic DNA was extracted from 22 whole-blood samples using the standard salting-out method and it was quantified by NanoDrop 1000 (Thermo Fisher Scientific, Waltham, MA, USA). Eight-specific primers within the region of the exon 31–46 were designed with the Primer 3 software (Table 1). Sequences were checked for self- or inter-molecular annealing with a nucleic-acid-folding software (OligoAnalyzer 3.1). We performed local-alignment analyses with the BLAST program to confirm the specificity of the designed primers (http://www-ncbi-nlm-nih-gov.acces.bibl.ulaval.ca/tools/primer-blast). Bidirectional sequence analysis was conducted for all PCR amplicons.
Table 1

Coverage of the primers

PrimersExons and introns
PKD1ex31–34Int30-exo31-int31-exo32-int32-exo33-int33-exo34-int34
PKD1ex35–37Int 34-exo35-int35-exo36-int36-exo37-int37
PKD1ex38–39Int37-exo38-int38-exo39-int39
PKD1ex40–41Int39-exo40-int40-exo41-int41
PKD1ex41–43Int40-exo41-int41-exo42-int42-exo43
PKD1ex44–45Int43-exo44-int44-exo45-int45
PKD1ex45–46Int44-exo45-int45-exo46-int46
Coverage of the primers Amplification was performed in a thermal cycler, GeneAmp PCR System 9700 (Applied Biosystems, Massachusetts, USA), including 150 ng of genomic DNA, 10X PCR buffer, 2 mM MgCl2, 1 Unit Taq DNA polymerase (Genet Bio, South Korea), 0.2 mM dNTP mix, and 5 pmol of each primer in a final volume of 20 μl. Cycling parameters were as follows: an initial denaturation at 95 °C for 5 min, 35 cycles at 95 °C for 30 s, annealing for 30 s at 52 °C, 57 °C, 69 °C, 67 °C, 54 °C, 61 °C and 62 °C for primer#1 to #8 respectively, and a final extension step at 72 °C for 35 s, ended by a last extension at 72 °C for 5 min. PCR products were analyzed by electrophoresis in a 1.5% agarose gel stained with ethidium bromide followed by Sanger sequencing reactions.

Sanger sequencing

Sequencing products were run on an ABI 3130XL Genetic Analyzer (Macrogene Company South Korea), according to the manufacturer’s guidelines. Data analysis was performed with Chromas software version 2.6.5 (Technelysium, South Brisbane, Australia).

Results

Twenty-two patients with an average age of 36.6 ± 7.3 years, suffering from ADPKD were studied. The sequencing results of the patientsare reported in Table 2 and Fig. 1. In patient 45.1, variations in rs10960 polymorphism in exon 44 led to the conversion of isoleucine to valine (p.Ile4045Val). This type of variation, considered as missense, was recorded in the PKDB database with a minor allele frequency of 0.239. Moreover, the single nucleotide variant (p.Ile4045Val), was also found in patient 410.2. In four patients, including 45.3, 410.1, 417.1, and 419.1, exon 45 had a synonymous mutation (p.Ala4092=) and was reported as rs3087632 with MAF: 0.262 in the database PKDB. Moreover, the missense mutation converting glutamine to arginine (p.Gln4005Arg) had occurred in exon 44 of the patient 421 and was recorded as uncertain significance in the PKDB database.
Table 2

Mutations and polymorphisms of PKD1 identified in this study

Patient IDRegioncDNA ChangeAmino Acid ChangeTypeClinical Significance
421EX44c.12014A > Gp.Gln4005ArgMissenseUncertain Significance
48.1Ex44c.12092 T > Ap.Leu4031XStop codon​ Definitely Pathogenic
418.2Ex44c.12103G > Ap.Val4035MetMissensePossibly Damaging
45.1EX44c.12133A > Gp.Ile4045ValMissenseLikely Neutral
410.2EX44c.12133A > Gp.Ile4045ValMissenseLikely Neutral
47.1Ex44c.12039C > Tp.Ser4013=SynonymousNot Reported
45.3EX45c.12276A > Gp.Ala4092=SynonymousLikely Neutral
417.1EX45c.12276A > Gp.Ala4092=SynonymousLikely Neutral
419.1EX45c.12276A > Gp.Ala4092=SynonymousLikely Neutral
410.1EX45c.12276A > Gp.Ala4092=SynonymousLikely Neutral
422EX4512217A > Gp.Thr4073AlaMissenseLikely Neutral
Fig. 1

DNA sequencing results of Iranian patients with ADPKD. Patients including a) patient# 421 (p.Gln4005Arg); b) patient# 48.1 (p.Leu4031X); c) patient# 418.2 (p.Val4035Met); d) patient# 45.1 (p.Ile4045Val); e) patient# 410.2 (p.Ile4045Val); f) patient# 47.1 (p.Ser4013=); g) patient# 45.3 (p.Ala4092=); h) patient# 417.1 (p.Ala4092=); i) patient# 419.1(p.Ala4092=); j) patient# 410.1 (p.Ala4092=); k) patient# 422 (p.Thr4073Ala)

Mutations and polymorphisms of PKD1 identified in this study DNA sequencing results of Iranian patients with ADPKD. Patients including a) patient# 421 (p.Gln4005Arg); b) patient# 48.1 (p.Leu4031X); c) patient# 418.2 (p.Val4035Met); d) patient# 45.1 (p.Ile4045Val); e) patient# 410.2 (p.Ile4045Val); f) patient# 47.1 (p.Ser4013=); g) patient# 45.3 (p.Ala4092=); h) patient# 417.1 (p.Ala4092=); i) patient# 419.1(p.Ala4092=); j) patient# 410.1 (p.Ala4092=); k) patient# 422 (p.Thr4073Ala)

Novel variants

The first variant was observed in patient 45.5. This variant caused a synonymous variant in exon 44 (p.Gly4068=). Patient 47.1, a variant of rs200796474 was also synonymous, with a serine converted to serine (p.Ser4013=). A leucine to stop codon mutation, was observed in exon 44 of patient 48.1 (p.Leu4031X). In patient 411.2, a missense converting arginine to leucine was observed in exon 45 and the missense mutation converting arginine to leucine was also found in the same exon of the same patient (CGT/CTT). The missense change converting valine to methionine occurred in exon 44 of patient 418.2 (p.Val4035Met). In addition, the missense variation converting threonine to alanine was found in some part of the exon 45 in the patient 422 (p.Thr4073Ala)(Table 2).

In silico functional analysis

Nucleotide changes in the PKD1 gene was determined based on reference genomic sequemces NC_000016.10. The detected sequence variations reported in this study were checked with the list of Autosomal Dominant Polycystic Kidney Disease Mutation Database (PKDB) and PKD gene variants in the Human Gene Mutation Database (HGMD) [31]. The pathogenicity prediction of novel variations were analyzed by Mutation Taster [32]. We checked related protein products for sequence and length alteration by altered CDS (NM_001009944) using expasy translate tools. The prediction obtained of the potential effect of each variant has been shown in Table 2. In the current study, mutations were named based on CDS according to standard mutation nomenclature for molecular diagnostic aims. The UniProt database, UniProtKB ID Q8IYM9 (http://www.uniprot.org), the NCBI dbSNP database (https://www.ncbi.nlm.nih.gov/SNP/), and 1000 Genomes (http://www.1000genomes.org/) have been used to retrieve polymorphism data. Functional effects of SNPs were predicted using Polyphen-2 (http://genetics.bwh.harvard.edu/pp2).

Discussion

To date, 2322 pathogenic meuations for PKD1 and 278 for PKD2 have been reported in the PKDB [33] but their relative frequencies are unknown. Moreover, Daoust et al., identified a family in the French-Canadian population in which a classical clinical presentation of ADPKD resulted from a mutation at a locus genetically distinct from all the previously described loci for this disease. This suggests an existence of a third genetic locus for ADPKD [5]. In the current study, 16 end exons of PKD1 gene were studied. The sequencing results have shown that exons 35, 36 and 36 were non-polymorphic, with no mutations, and the most mutations occurred in exons 44 and 45. In most of the patients, variants were mostly missense and same-sense types. Our results have shown that there is no definite hot spot in PKD1 and thus, a complete PKD1 mutation analysis is needed for genetic diagnosis of ADPKD in the Iranian patients. Our newly detected mutations in the Iranian population have made the PKD mutation database richer, a result of great importance in the genetic consultation of ADPKD patients. Regarding the large genes involved in ADPKD, screening all of their regions would be expensive and time-consuming; hence, to overcome this issue a database could be generated for mutations of polycystic kidney disease among the Iranian population to determine the most common mutations and to characterize mutation hot spots in this population. Furthermore, considering the clinical similarity of ADPKD with other kidney cystic diseases, causing incorrect clinical diagnosis in the absence of familial history, molecular study for PKD1 with or without PKD2 in suspected patients is recommended. Identified pathogenic mutations in the present study could be confirmed in future studies with more ADPKD families. Besides, genotype-phenotype correlation studies could be performed to determine the severity of each variant and the outcome of patients associated with a specific variant.

Conclusion

In the current study, we demonstrated nine novel missense or synonymous variants in PKD1. These data will contribute to an improved diagnostic and genetic counseling in clinical settings.
  33 in total

Review 1.  Autosomal dominant polycystic kidney disease.

Authors:  V E Torres; P C Harris
Journal:  Nefrologia       Date:  2003       Impact factor: 2.033

Review 2.  Clinical practice. Autosomal dominant polycystic kidney disease.

Authors:  Jared J Grantham
Journal:  N Engl J Med       Date:  2008-10-02       Impact factor: 91.245

3.  Heteromultimeric interactions among K+ channel subunits from Shaker and eag families in Xenopus oocytes.

Authors:  M L Chen; T Hoshi; C F Wu
Journal:  Neuron       Date:  1996-09       Impact factor: 17.173

4.  Human gene mutations. Gene symbol: PKD1. Disease: Polycystic kidney disease.

Authors:  C Daniells; M Maheshwar; L Lazarou; F Davies; G Coles; D Ravine
Journal:  Hum Genet       Date:  1998-01       Impact factor: 4.132

5.  Identification of mutations in the repeated part of the autosomal dominant polycystic kidney disease type 1 gene, PKD1, by long-range PCR.

Authors:  R Thomas; R McConnell; J Whittacker; P Kirkpatrick; J Bradley; R Sandford
Journal:  Am J Hum Genet       Date:  1999-07       Impact factor: 11.025

6.  Evidence for a third genetic locus for autosomal dominant polycystic kidney disease.

Authors:  M C Daoust; D M Reynolds; D G Bichet; S Somlo
Journal:  Genomics       Date:  1995-02-10       Impact factor: 5.736

Review 7.  Polycystins and primary cilia: primers for cell cycle progression.

Authors:  Jing Zhou
Journal:  Annu Rev Physiol       Date:  2009       Impact factor: 19.318

8.  The polycystic kidney disease 1 (PKD1) gene encodes a novel protein with multiple cell recognition domains.

Authors:  J Hughes; C J Ward; B Peral; R Aspinwall; K Clark; J L San Millán; V Gamble; P C Harris
Journal:  Nat Genet       Date:  1995-06       Impact factor: 38.330

9.  Gene conversion is a likely cause of mutation in PKD1.

Authors:  T J Watnick; M A Gandolph; H Weber; H P Neumann; G G Germino
Journal:  Hum Mol Genet       Date:  1998-08       Impact factor: 6.150

10.  Identification of novel PKD1 and PKD2 mutations in a Chinese population with autosomal dominant polycystic kidney disease.

Authors:  Bei Liu; Song-Chang Chen; Yan-Mei Yang; Kai Yan; Ye-Qing Qian; Jun-Yu Zhang; Yu-Ting Hu; Min-Yue Dong; Fan Jin; He-Feng Huang; Chen-Ming Xu
Journal:  Sci Rep       Date:  2015-12-03       Impact factor: 4.379

View more
  1 in total

1.  A Custom Target Next-Generation Sequencing 70-Gene Panel and Replication Study to Identify Genetic Markers of Diabetic Kidney Disease.

Authors:  Sonia Mota-Zamorano; Luz María González; Nicolás Roberto Robles; José Manuel Valdivielso; Bárbara Cancho; Juan López-Gómez; Guillermo Gervasini
Journal:  Genes (Basel)       Date:  2021-12-15       Impact factor: 4.096

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.