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Article

Whole Exome Sequencing in a Series of Patients with a Clinical Diagnosis of Tuberous Sclerosis Not Confirmed by Targeted TSC1/TSC2 Sequencing

by
Erzsebet Kovesdi
1,2,*,
Reka Ripszam
1,
Etelka Postyeni
1,
Emese Beatrix Horvath
3,
Anna Kelemen
4,
Beata Fabos
5,
Viktor Farkas
6,
Kinga Hadzsiev
1,
Katalin Sumegi
1,7,
Lili Magyari
1,
Pilar Guatibonza Moreno
8,
Peter Bauer
8 and
Bela Melegh
1
1
Department of Medical Genetics, Medical School, Szentagothai Research Center, University of Pecs, 7624 Pecs, Hungary
2
Molecular Neuroendocrinology Research Group, Institute of Physiology, Center for Neuroscience, Szentagothai Research Center, Medical School, University of Pecs, 7624 Pecs, Hungary
3
Department of Medical Genetics, Faculty of Medicine, University of Szeged, 6720 Szeged, Hungary
4
National Institute of Clinical Neurosciences, 1145 Budapest, Hungary
5
Somogy County Mor Kaposi Teaching Hospital, 7400 Kaposvar, Hungary
6
Department of Pediatrics, Faculty of Medicine, Semmelweis University, 1085-Budapest, Hungary
7
Departments of Biochemistry and Medical Chemistry, Medical School, University of Pecs, 7624 Pecs, Hungary
8
CENTOGENE GmbH, 18055 Rostock, Germany
*
Author to whom correspondence should be addressed.
Genes 2021, 12(9), 1401; https://doi.org/10.3390/genes12091401
Submission received: 7 July 2021 / Revised: 5 September 2021 / Accepted: 6 September 2021 / Published: 10 September 2021
(This article belongs to the Collection Genotype-Phenotype Study in Disease)
Versions Notes

Abstract

:
Background: Approximately fifteen percent of patients with tuberous sclerosis complex (TSC) phenotype do not have any genetic disease-causing mutations which could be responsible for the development of TSC. The lack of a proper diagnosis significantly affects the quality of life for these patients and their families. Methods: The aim of our study was to use Whole Exome Sequencing (WES) in order to identify the genes responsible for the phenotype of nine patients with clinical signs of TSC, but without confirmed tuberous sclerosis complex 1/ tuberous sclerosis complex 2 (TSC1/TSC2) mutations using routine molecular genetic diagnostic tools. Results: We found previously overlooked heterozygous nonsense mutations in TSC1, and a heterozygous intronic variant in TSC2. In one patient, two heterozygous missense variants were found in polycystic kidney and hepatic disease 1 (PKHD1), confirming polycystic kidney disease type 4. A heterozygous missense mutation in solute carrier family 12 member 5 (SLC12A5) was found in one patient, which is linked to cause susceptibility to idiopathic generalized epilepsy type 14. Heterozygous nonsense variant ring finger protein 213 (RNF213) was identified in one patient, which is associated with susceptibility to Moyamoya disease type 2. In the remaining three patients WES could not reveal any variants clinically relevant to the described phenotypes. Conclusion: Patients without appropriate diagnosis due to the lack of sensitivity of the currently used routine diagnostic methods can significantly profit from the wider application of next generation sequencing technologies in order to identify genes and variants responsible for their symptoms.

1. Introduction

Tuberous sclerosis complex (TSC) is an autosomal dominant, rare disorder with an estimated incidence of 1:6000–1:10,000 and an estimated prevalence of 1:14,000–1:25,000 [1,2]. Until recently the prevalence of TSC was underestimated due to incomplete penetrance and interindividual phenotypic variability [3,4]. The disease affects approximately 2 million people globally [5], and there is no sex or ethnicity predilection [6]. The exact epidemiological data of Hungarian TSC patients is not known, but calculating with the population number in 2021 (9,890,640 citizens), it may affect approximately 900–1600 individuals.
TSC can affect one or more organ systems leading to a highly variable phenotype [7]. TSC causes tumor or hamartoma formation in the heart, kidney, skin, lung and brain [8]. The most common neurological manifestations of TSC are epilepsy, developmental delay, intellectual disability, behavioral disorders, and autism [9].
The first identifiable symptom of TSC is often a cardiac rhabdomyoma (60%), which can be detected as early as the 17th gestational week [10]. Typical dermatological symptoms of TSC are hypomelanotic macules (90%), facial angiofibromas (75%), ungual fibromas (20%), shagreen patches and confetti skin lesions [11]. The dermatological signs can appear at an early age: some patients have hypo-or hyperpigmented skin areas since their birth, while others develop these later in their childhood or in their adolescent years [8].
TSC symptoms in the childhood may include symptoms affecting the central nervous system (CNS) as like subependymal nodules (SENs), subependymal giant cell astrocytomas (SEGA), and cortical tuber(s) [12]. In addition, cognitive deficits, autism spectrum disorders and different types of epileptic seizures are very common [8]. Epileptic seizures can occur in 67% of cases early in the first 12 months of their life [13]. TSC associated neuropsychiatric disorders such as autism (40–50%) and attention deficit hyperactivity disorder (ADHD) (30–50%) are manifested in a wide variety and severity in the TSC patient population [14,15]. Renal symptoms occur mainly in young adults, 80% of TSC patients develop angiomyolipomas (AML) or renal cysts (50%) [16]. The treatment of TSC includes pharmacological, surgical, or behavioral interventions. Since this disease is phenotypically highly heterogenic, personalized therapeutic interventions are very important [17].
According to present knowledge TSC is caused by mutations in TSC1 (tuberous sclerosis complex 1, MIM *605284, 9q34.13) [18] or TSC2 (tuberous sclerosis complex 2, MIM *191092, 16p13.3) [19] genes, encoding the proteins hamartin (TSC1) and tuberin (TSC2). Similar phenotypes may result from a mutation in either of these two genes, since the encoded proteins bind together to form a functional dimeric complex. In 2012 a third component of the complex was discovered, the TBC1 domain family member 7 (TBC1D7) [20]. TBC1D7 stabilizes TSC the hamartin tuber complex through hamartin [21].
During routine molecular genetic diagnostic testing for TSC1/TSC2 mutations, 5–25% of the TSC patients do not have any disease-causing mutation in these genes. In the scientific literature these patients are called “no mutation identified” (NMI) TSC cases. They have milder phenotypes compared to patients with TSC2 mutation, but similar symptoms to those patients with TSC1 mutation [22,23]. Renal involvement is also common in NMI patients [22,23]. The problem with NMI patients is, that in their case genetic counselors have no explanation regarding the possible genetic and molecular background, which means they cannot give any satisfactory explanations for their symptoms, disease progression and inheritance type.
Next generation sequencing (NGS) has become the core technology for gene discovery in rare disorders. It also has the ability to increase the number of mutations identified in TSC patients [10,24]. Whole Exome Sequencing (WES) technology focuses on the complete coding region of the genome, and scans thousands of genes in the same time and can significantly increase the mutation detection rate.
In this study we analyzed the first cohort of Hungarian TSC NMI patients, in which no TSC1/TSC2 mutations were identified using Sanger sequencing and multiplex ligation dependent probe amplification (MLPA). The aim of our study was to use WES to find the clinically relevant genes and variants responsible for the described phenotypes of these patients. Based on the results obtained, the patients can get an explanation for their symptoms, an appropriate diagnosis (including inheritance type) and better treatment options.

2. Materials and Methods

2.1. The Hungarian TSC Biobank

The TSC biobank at our department is governed by the University of Pecs, as part of the National Biobank Network of Hungary. The governance principles and maintenance management of the Biobank have been approved by the Hungarian National Research Ethics Committee (ETT TUKEB 23476-1/2016/EKU, Budapest, Hungary). During the collection and analysis of DNA samples and processing of the accompanying clinical and personal data the guidelines and regulations of the Helsinki Declaration in 1975 and the currently operative National regulations were followed. Some of the samples come from our department’s genetic counselors, while others come from genetic counselors from various Hungarian health care centers. Patients received genetic counseling in accordance with the human genetic law, including detailed phenotypic analysis and they also gave written consent to genetic testing.

2.2. Study Group: TSC NMI Patients

Since 2011, our department in Pecs carries out the molecular genetic analysis of TSC1 and TSC2 genes in Hungary. This biobank consists of a total of 204 DNA samples (101 probands and 103 family members). From the 73 DNA proband samples analyzed with Sanger sequencing and MLPA, 9 patients (5 females and 4 males) were NMI cases, the others were either TSC1 or TSC2 positive. The 9 NMI DNA samples were further analyzed by WES, to find the possible disease-causing mutation.

2.3. DNA Extraction

Genomic DNA was isolated from peripheral blood samples using E.Z.N.A.® Blood DNA Maxiprep Kit (VWR International Kft., Debrecen, Hungary) according to the manufacturer’s protocol. After extraction, the DNA samples were stored at −80 °C.

2.4. Whole Exome Sequencing (WES)

The DNA samples of the 9 patients were processed at Centogene’s laboratory (Rostock, Germany). The company is College of American Pathologists (CAP) and Clinical Laboratory Improvement Amendments (CLIA) certified, adheres to the “American College of Medical Genetics and Genomics (ACMG) Recommendations for Reporting of Incidental Findings” and does not report on findings which are not directly related to the cause of a disease and not listed in the ACMG guidelines.
RNA capture baits against approximately 60 Mb of the Human Exome (targeting > 99% of regions in Consensus Coding Sequence (CCDS), RefSeq and Gencode databases) was used to enrich regions of interest from fragmented genomic DNA with Agilent’s SureSelect Human All Exon V6 kit. The generated library was sequenced on an Illumina platform to obtain an average coverage depth of ~100×. Typically, ~97% of the targeted bases are covered >10×. An end to end in-house Centogene bioinformatics pipeline including base calling, alignment of reads to GRCh37/hg19 genome assembly, primary filtering out of low-quality reads and probable artefacts, and subsequent annotation of variants was applied. All disease-causing variants reported in Human Gene Mutation Database (HGMD)®, in ClinVar or in CentoMD® as well as all variants with minor allele frequency (MAF) of less than 1% in genomAD database were considered. Evaluation focused on coding exons along with flanking +/−20 intronic bases. All inheritance patterns were considered. All identified variants were evaluated with respect to their pathogenicity and causality, and these were categorized into classes 1–6. All variants related to the phenotype of the patient, except benign or likely benign variants, were reported. Variants of relevance identified by NGS were continuously and individually in-house (Centogene) validated for quality aspects [25]. All variants reported in the manuscript had quality parameters that were shown to be indicative of a true positive NGS finding; Sanger confirmation was therefore omitted.

3. Results

From the 9 analyzed NMI patients, 6 patients received positive gene finding after WES. Table 1. shows the detailed genotype-phenotype correlations of the nine NMI cases. All new variants were deposited into ClinVar (www.ncbi.nlm.nih.gov/clinvar, accessed on 1 May 2019). under accession numbers: SCV000902239: NM_001256071.2(RNF213): c.2875G>T; p.(Gly959*), SCV000899291: NM_000368.4(TSC1): c.232G>T; p.(Glu78*), SCV000899290: NM_000548.3(TSC2): c.226-6T>G and SCV000902495 NM_001134771.1(SLC12A5): c.1417G>A; p.(Val473Ile).
Patient 1 had epilepsy and the Magnetic Resonance Imaging (MRI) showed cortical tubers. WES revealed heterozygous nonsense mutations c.232G>T; p.(Glu78*) in TSC1. This variant is classified as likely pathogenic (class 2) and confirmed the genetic diagnosis of tuberous sclerosis type 1.
The second subject (Patient 2) presented renal tumors, angiofibromas on the cheeks, and ungual fibromas on the toes. Similarly to Patient 1, heterozygous nonsense mutation c.1498C>T; p.(Arg500*) was found in TSC1, which is classified as pathogenic (class 1). Both variants confirmed the genetic diagnosis of tuberous sclerosis type 1.
Patient 3 had epilepsy, cardiac benign tumor and the MRI results suggested TSC (cortical tuber). A heterozygous intronic variant in TSC2 with uncertain significance (c.226-6T>G) was identified. It was predicted to disrupt the highly conserved acceptor splice site of exon 4. It is classified as variant of uncertain significance (class 3) leading to the genetic diagnosis of tuberous sclerosis type 2 possible.
In the case of 3 other patients WES revealed disease causing mutations in solute carrier family 12 member 5 (PKHD1), solute carrier family 12 member 5 (SLC12A5) and ring finger protein 213 (RNF213). Based on the clinical features of these patients, specific attention was paid during WES to the genes TSC1 and TSC2, but no relevant variants were found. However, pathogenic variants cannot be completely excluded since not all exons were fully covered due to limitations of the method. Patient 4’s clinical signs included polycystic kidney, epilepsy and the MRI showed numerous typical signs of TSC (cortical tubers). Two heterozygous missense variants: c.5513A>G; p.(Tyr1838Cys) and c.3747T>G; p.(Cys1249Trp) were found in PKHD1. Both variants are classified as pathogenic (class 1) confirming polycystic kidney disease type 4. Since the PKHD1 mutations can only partially explain the phenotype of the patient, Whole Genome Sequencing (WGS) was considered to uncover genetic variants not covered by WES.
Patient 5 presented hypomelanotic macule, epileptic seizures and white matter lesions as clinical features. Specific attention was paid during WES to early infantile epileptic encephalopathy (EIEE) related genes (AARS, ALG13, ARHGEF9, ARV1, ARX, CACNA1A, CDKL5, DNM1, DOCK7, EEF1A2, FRRS1L, GABRA1, GABRB3, GNAO1, GRIN2B, GUF1, HCN1, ITPA, KCNA2, KCNB1, KCNQ2, KCNT1, NECAP1, PCDH19, PIGA, PLCB1, PNKP, SCN1A, SCN2A, SCN8A, SCN9A, SLC12A5, SLC13A5, SLC1A2, SLC25A12, SLC25A22, SLC35A2, SPTAN1, ST3GAL3, STXBP1, SZT2, TBC1D24, WWOX, AP3B2, KCNT2, HNRNPU, CAD, UBA5, FGF12, GABRB1, MDH2, YWHAG, DENND5A, SCN1B, GRIN2D, SYNJ1, SIK1), to TSC1 and TSC2 and to IKBKG-related disorder. WES analysis could not detect any relevant variant in these genes except in SLC12A5, where a heterozygous missense mutation c.1417G>A; p.(Val473Ile) with uncertain significance (class 3) was found. The variant is linked to cause susceptibility to idiopathic generalized epilepsy type 14 (EIG14).
Patient 6 showed epilepsy (epileptic seizures but the exact starting point could not be determined) and small hypopigmented spots. The MRI results suggested the possibility of TSC (cortical lesions). A heterozygous nonsense variant c.2875G>T; p.(Gly959*) in RNF213 was identified. The variant is classified as likely pathogenic (class 2). Pathogenic variants in the RNF213 have been associated with susceptibility to Moyamoya disease type 2.
In the remaining 3 patients WES could not reveal any variants clinically relevant to the described phenotypes of these patients. It is important to mention, that pathogenic variants at these three patients cannot be completely excluded, since not all exons were fully covered due to limitations of the method.
In Patient 7, who had renal angiomyolipoma which led to right kidney nephrectomy; multiplex angiomyolipomatosis in the left kidney, adenoma sebaceum on the cheeks and fibromas on the toes. During the analysis of the sample, specific attention was paid during WES to the genes associated with multiple endocrine neoplasia (CDKN1B, RET, MEN1) and TSC genes, but no variants clinically relevant to the described phenotype of the patient were observed.
The psychomotor development of Patient 8 was slow, MRI showed reduction in the volume of paraventricular white matter and right-side dominant polymicrogyria at the area of aqueductus cerebri. Front part of both temporal lobes and the frontal lobes were affected by polymicrogyria with moderate severity. He also had vermis hypoplasia. As dermatological signs halo nevus, one leaf-shaped hypomelanotic macule on the torso, one palm size at the right knee bend were observable. In Patient 8 based on the clinical information specific attention was paid to the genes in neuronal migration disorders panel (ACTB, ACTG1, ARFGEF2, ARX, COL18A1, COL4A1, CPT2, DCX, EMX2, EOMES, FGFR3, FH, FKRP, FKTN, FLNA, ADGRG1, IER3IP1, ISPD, LAMA2, LAMC3, LARGE, MED12, MEF2C, OCLN, PAFAH1B1, PAX6, PEX7, POMGNT1, POMT1, POMT2, PQBP1, RAB18, RAB3GAP1, RAB3GAP2, RELN, SNAP29, SRPX2, TUBA1A, TUBA8, TUBB2B, TUBB3, VDAC1, WDR62) and on lissencephaly and brain malformation panel (ACTB, ACTG1, ADGRG1, ARX, CDK5, COL6A1, COL6A2, COL6A3, DCX, DYNC1H1, EOMES, FKRP, FKTN, ISPD, KATNB1, KIF2A, KIF5C, LAMA2, LAMB1, LARGE, LMNA, NDE1, PAFAH1B1, POMGNT1, POMT1, POMT2, RELN, SELENON, TUBA1A, TUBB, TUBB2A, TUBB2B, TUBB3, TUBG1, VLDLR, WDR62, YWHAE), but no relevant variants in these genes was found. WGS is considered which can add an additional 15–18% clarification rate compared to WES.
The MRI of Patient 9 showed cortical tuber, SENs detected at the right side of the frontal ventricle and a cyst was detected at the area of the corpus pineale. Special attention was paid during WES to the TSC1/TSC2, but no variants clinically relevant to the described phenotype of the patient was detected.

4. Discussion

The goal of our very first TSC NMI study was to identify with a next generation sequencing tool (WES) the possible genes and variants which can be responsible for the clinical signs of our 9 Hungarian TSC NMI patients. With WES we found in 6 cases the genes responsible for their symptoms: previously overlooked TSC1/TSC2 mutations and disease-causing variants in other genes like PKHD1, SLC12A5 and RNF213. However, in 3 patients WES could not reveal any variants clinically relevant to the described phenotypes of these patients.
In the recent years several research studies were published, in which different NGS technologies were used with more or less success to increase the detection rate of TSC1/TSC2 mutations in TSC NMI patients. The first study which used NGS technology to find previously missed TSC1 and TSC2 mutations in 38 NMI subjects was performed by Qin and coworkers in 2010 [26]. With Roche 454 Sequencing on Genome Sequencer FLX system they found five heterozygous mutations in TSC1/TSC2, and only 2 patients had mosaic mutations. The used technique was not able to detect mutations in promoter, introns and regulatory sequences. In another article, using HaloPlex targeted capture NGS technology, from the analyzed 7 NMI patients, pathogenic mutations were revealed in 3 cases, while the others had variants of uncertain significance (VUS) [10]. A third paper using Illumina HiSeq 2000 and 2500 platforms [27] analyzed not only the TSC1/TSC2 genes with 10 kb of upstream and downstream sequences, but other genes which could be potential candidates for a possible TSC3 gene (DEPTOR, PRAS40, TBC1D7, DEPDC5, NPRL2, and NPRL3), because of their role in mechanistic target of rapamycin (mTOR) signaling pathway. However, they could not find any pathogenic variants in the above mentioned six genes. In 2018, a Russian study performed WES as a part of their experiments on five NMI patients, using Illumina Nextera Kit for exome enrichment and Illumina MiSeq, but they failed to identify disease-causing mutation candidate genes among their NMI patients [28].
A recent study with Chinese TSC patients analyzed genomic variants in the non-TSC1/TSC2 genes participating in the mTOR pathway and found that 12 mTOR pathway related genes in 11 of their 40 NMI patients. Ten genes were at the upstream of mTOR Complex 1 (mTORC1) (WNT5B, FZD4, FZD6, FZD9, GSK3B, MAP2K2, IRS1, PIK3CA, PIK3R2 and CHUK), while two genes (LPIN1 and PRKCG) at the downstream of mTORC1 and mTOR Complex 2 (mTORC2). The 12 variants they found were classified as VUS according to the ACMG guidelines due to the lack of direct evidence to support their involvement in TSC. They could not test these variants for mosaic or intronic mutations due to the unavailability of the tissue samples and relatively low sequencing depth (100–200×). The authors concluded, that “disease-causative genes” of TSC other than TSC1/TSC2 may exist [29].
In this study we analyzed 9 Hungarian TSC NMI patient with WES. In the case of 3 patients we found that they have previously overlooked TSC1/TSC2 mutations (Patient 1–3). In the cases of Patient 1 and 2 WES analysis revealed pathogenic, resp. likely pathogenic variants. Based on the clinical sign and WES of these patients, the diagnosis of TSC was verified. Both TSC1 variants create premature stop codon. The c.232G>T; p.(Glu78*) variant is formerly unpublished based on the online available TSC mutation databases, while the variant c.1498C>T; p.(Arg500*) has been previously described as disease causing for TSC by van Slegtenhorst and coworkers [30]. In one patient a heterozygous intronic variant in TSC2 with uncertain significance c.226-6T>G was identified. This variant is predicted to disrupt the highly conserved acceptor splice site of exon 4. Potential effect on splicing is routinely analyzed at Centogene using several in silico prediction programs. For the c.226-6T>G variant in TSC2, these programs predicted a negative/detrimental effect on the splice acceptor. “Splice Site Finder” assigned a splice acceptor score of 74.93 to the wild-type sequence (max value =100.00), while not at all scoring the mutant sequence.
In the case of 3 other patients WES revealed disease causing mutations in PKHD1, SLC12A5 and RNF213. Two heterozygous missense variants were found in PKHD1 (c.5513A>G; p.(Tyr1838Cys) and c.3747T>G; p.(Cys1249Trp)) in Patient 4. Both variants found in this gene were previously described as disease causing mutations for polycystic kidney disease [31,32]. Pathogenic PKHD1 variants are causative for polycystic kidney disease type 4 with or without hepatic disease, also known as autosomal recessive polycystic kidney and hepatic disease (ARPKD). Most of the cases are diagnosed at birth or late in pregnancy, but there are some cases where they were identified in older people with moderately severe symptoms [33,34]. The majority of individuals with ARPKD presented in the neonatal period show “potter” phenotype: massively enlarged kidneys, pulmonary hypoplasia, characteristic facies, and contracted limbs with club feet. The renal disease is characterized by nephromegaly, hypertension, and varying degrees of renal dysfunction [34,35]. The ultrasound picture of the kidneys usually shows bilaterally enlarged hyperechoic kidneys with poor corticomedullary differentiation, retained reniform contour, and multiple tiny cysts confined to distal tubules and collecting ducts. The size and place of the cysts can vary and often accompanied by some degree of interstitial fibrosis [35].
The establishment of genotype–phenotype correlations for PKHD1 is not simple [36], and there are some phenotypic overlaps between ARPKD other diseases, among this TSC, which suggests functional relationship between the causative genes/proteins and the signaling pathway, in this case the mTOR [37]. Polycystin-1 and the TSC1/TSC2 tumor suppressor complex both act to suppress the activity of mTOR resulting in apoptosis [38]. In our case, the common symptom between ARPKD and TSC was the renal cyst, however, PKHD1 mutations can only partially explain the phenotype of the patient. Based on the WES results we do not have the genetic explanation neither for the epilepsy nor the cortical tubers. During the analysis specific attention was paid to the TSC1/TSC2 genes, but no relevant variant in these genes were detectable. However, pathogenic variants cannot be completely excluded since not all exons were fully covered due to limitations of the method. WGS is more powerful tool compared to detect known genetic variants, small insertions/deletions and Copy Number Variations (CNVs) within the regions of the genome covered by WES. Given the fact that PKHD1 mutations can only partially explain the phenotype in the patient, we think WGS should be considered to uncover genetic variants not covered by WES. WGS typically results in ~10–20% additional genetic diagnoses.
In Patient 5 WES analysis could not detect any relevant variant in these genes except in SLC12A5, which is linked to cause susceptibility to idiopathic generalized epilepsy type 14 (EIG14). However, other pathogenic variants cannot be completely excluded since not all exons were fully covered due to limitations of the method. There are only two publications in the literature, which deal with EIG14. Kahle et al. [39] reported 8 patients with French Canadian origin with idiopathic generalized epilepsy with onset between 3–21 years of age. Seizure types were generalized tonic-clonic, absence, and myoclonic. EEG showed generalized spike-wave discharges or diffuse theta waves. None of the patients had febrile seizures. The transmission pattern of EIG14 in the families reported was consistent with autosomal dominant inheritance and incomplete penetrance. In the second manuscript—published by Puskarjov and coworkers [40], a heterozygous p.Arg952His variant in SLC12A5 was found in three affected patients of an Australian family with febrile seizures. The authors suggested that the decrease in SLC12A5-dependent hyperpolarizing inhibition would promote triggering of seizures. The decreased dendritic spine formation could lead to desynchronization of overall excitability which contribute to the formation of seizures.
Interestingly, a known heterozygous nonsense variant on RNF213 (c.2875G>T; p.(Gly959*)) was identified in Patient 6, leading to premature stop codon. Pathogenic variants in the RNF213 gene are linked to Moyamoya disease, which is probably multifactorial and polygenic disease with various clinical presentations and inheritance type. It is characterized by bilateral internal carotid artery stenosis and abnormal collateral vessels. The abnormal vessels look like a “puff of smoke” on cerebral angiogram. Affected individuals can develop transient ischemic attacks, or cerebral infarction. The rupture of the collateral vessels can lead to intracranial hemorrhage [41,42]. The RNF213 was the first described susceptibility gene for the disease [43,44], however the exact mechanism how the RNF213 abnormality relates to the disease is still unknown. Based on the literature RNF213 is an important susceptibility gene of among the East Asian population, but it is rare in Western countries [45,46]. We did a search the scientific literature (Pubmed), most of the articles deal with the polymorphism p.Arg4810Lys, the founder variant in East Asian (Japanese, Korean, and Chinese) patients [47,48]. A GWAS conducted among 38 European patients failed to identify any major founder variant associated with Moyamoya disease [49]. Hever’s study [50] suggest that there is a distinct Western Moyamoya disease phenotype, characterized by a more pronounced female prevalence, later disease onset than the average, relative lack of family history and decreased possibility of hemorrhagic stroke compared to Asian study groups [50]. Based on the clinical features of Patient 6, specific attention was paid during WES to the genes TSC1 and TSC2, but no relevant variants in these genes were found. However, pathogenic variants cannot be completely excluded since not all exons were fully covered due to limitations of the method. Similarly to Patient 4, WGS was considered to uncover genetic variants not covered by WES to find genetic variants to explain the remaining symptoms.
In the remaining 3 patients WES could not reveal any variants clinically relevant to the described phenotypes of these patients.
Based on the literature there more options to explain the genetic status of NMI patients:
(1) Mutation detection failure during routine diagnostic. This was the case in 3 of our NMI patients (Patients 1–3). (2) Mosaicism can also be an explanation based on the literature (example: [27], so we considered mosaicism as a possible explanation for the genetic status of our TSC NMI patients. However, the WES analysis by Centogene did not confirmed mosaicism in our subjects. (3) Mutations in introns affecting splicing, not near exons, promoter and enhancer regions which are not covered during routine molecular diagnostic testing. In one of our cases (Patient 3), intronic mutation was found. (4) Possibility of a currently unknown TSC gene. According to our knowledge, there are no publications which confirms the presence of a new component of TSC which is responsible for the disease. The routine pipeline of Centogene uses >25% allele frequency to detect mosaic variants.
There are several limitations in our study, therefore our results should be interpreted with caution: (1) The number of patients we have analyzed is not large. (2) The WES results were interpreted in the context of clinical findings and laboratory data. (3) Only variations in genes potentially related to the proband’s medical condition were reported. Specific genetic events like CNVs, translocations and repeat expansions may not be reliably detected with Exome Sequencing. In addition, due to limitations in technology, certain regions may either not be covered or may be poorly covered, where variants cannot be confidently detected. It also cannot detect large deletions/duplications. (4) It might have been advantageous to proceed the analysis with other approaches (WGS, long-read sequencings, 3rd generation sequencing), unfortunately as these are not part of the diagnostic panel yet, the patients did not agree to such a proceed.

5. Conclusions

Patients without the appropriate diagnosis due to the lack of sensitivity of the currently used routine diagnostic methods, or patients with unclear phenotype can significantly profit form the wider application of next generation sequencing technologies to find the genes and variants responsible for their symptoms to improve their treatment options and thereby their life quality. In agreement with other researcher groups [10,27], we think that with the use of NGS technologies during routine genetic diagnostics the number of NMI patients will be reduced.

Author Contributions

Conceptualization, E.K., P.G.M., E.P., K.S., and L.M.; methodology, R.R., E.B.H., A.K., B.F., V.F., K.H.; validation of WES results, P.G.M., and P.B.; writing—original draft preparation, E.K., R.R., P.B. and B.M.; writing—review and editing, E.K., K.S. and B.M.; supervision, E.K. and B.M. All authors have read and agreed to the published version of the manuscript.”

Funding

This research was funded by supported by the University of Pecs Medical School, Hungarian National Science Foundation Grants PD115677, K138669, EFOP 3.6.1-16.2016.00004 and GINOP-2.3.2-15-2016-00039.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Hungarian National Research Ethics Committee (ETT TUKEB 23476-1/2016/EKU, Budapest, Hungary).

Informed Consent Statement

Patients received genetic counseling in accordance with the human genetic law, including detailed phenotypic analysis as well as gave their written consent to genetic testing.

Data Availability Statement

All data are presented in the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Osborne, J.P.; Fryer, A.; Webb, D. Epidemiology of tuberous sclerosis. Ann. N. Y. Acad. Sci. 1991, 615, 125–127. [Google Scholar] [CrossRef]
  2. Hallett, L.; Foster, T.; Liu, Z.; Blieden, M.; Valentim, J. Burden of disease and unmet needs in tuberous sclerosis complex with neurological manifestations: Systematic review. Curr. Med. Res. Opin. 2011, 27, 1571–1583. [Google Scholar] [CrossRef]
  3. Hong, C.H.; Darling, T.N.; Lee, C.H. Prevalence of tuberous sclerosis complex in Taiwan: A national population-based study. Neuroepidemiology 2009, 33, 335–341. [Google Scholar] [CrossRef]
  4. Shepherd, C.W.; Beard, C.M.; Gomez, M.R.; Kurland, L.T.; Whisnant, J.P. Tuberous sclerosis complex in Olmsted County, Minnesota, 1950–1989. Arch. Neurol. 1991, 48, 400–401. [Google Scholar] [CrossRef] [PubMed]
  5. Hyman, M.H.; Whittemore, V.H. National Institutes of Health consensus conference: Tuberous sclerosis complex. Arch. Neurol. 2000, 57, 662–665. [Google Scholar] [CrossRef] [PubMed]
  6. O’Callaghan, F.J.; Shiell, A.W.; Osborne, J.P.; Martyn, C.N. Prevalence of tuberous sclerosis estimated by capture-recapture analysis. Lancet 1998, 351, 1490. [Google Scholar] [CrossRef]
  7. Crino, P.B.; Nathanson, K.L.; Henske, E.P. The tuberous sclerosis complex. N. Engl. J. Med. 2006, 355, 1345–1356. [Google Scholar] [CrossRef] [Green Version]
  8. Curatolo, P.; Bombardieri, R.; Jozwiak, S. Tuberous sclerosis. Lancet 2008, 372, 657–668. [Google Scholar] [CrossRef]
  9. Napolioni, V.; Moavero, R.; Curatolo, P. Recent advances in neurobiology of Tuberous Sclerosis Complex. Brain Dev. 2009, 31, 104–113. [Google Scholar] [CrossRef]
  10. Nellist, M.; Brouwer, R.W.; Kockx, C.E.; van Veghel-Plandsoen, M.; Withagen-Hermans, C.; Prins-Bakker, L.; Hoogeveen-Westerveld, M.; Mrsic, A.; van den Berg, M.M.; Koopmans, A.E.; et al. Targeted Next Generation Sequencing reveals previously unidentified TSC1 and TSC2 mutations. BMC Med. Genet. 2015, 16, 10. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Krueger, D.A.; Northrup, H.; International Tuberous Sclerosis Complex Consensus Grup. Tuberous sclerosis complex surveillance and management: Recommendations of the 2012 International Tuberous Sclerosis Complex Consensus Conference. Pediatric Neurol. 2013, 49, 255–265. [Google Scholar] [CrossRef] [Green Version]
  12. DiMario, F.J., Jr. Brain abnormalities in tuberous sclerosis complex. J. Child Neurol. 2004, 19, 650–657. [Google Scholar] [CrossRef]
  13. Chu-Shore, C.J.; Major, P.; Camposano, S.; Muzykewicz, D.; Thiele, E.A. The natural history of epilepsy in tuberous sclerosis complex. Epilepsia 2010, 51, 1236–1241. [Google Scholar] [CrossRef] [Green Version]
  14. D’Agati, E.; Moavero, R.; Cerminara, C.; Curatolo, P. Attention-deficit hyperactivity disorder (ADHD) and tuberous sclerosis complex. J. Child Neurol. 2009, 24, 1282–1287. [Google Scholar] [CrossRef]
  15. Curatolo, P.; Moavero, R.; de Vries, P.J. Neurological and neuropsychiatric aspects of tuberous sclerosis complex. Lancet Neurol. 2015, 14, 733–745. [Google Scholar] [CrossRef]
  16. Dixon, B.P.; Hulbert, J.C.; Bissler, J.J. Tuberous sclerosis complex renal disease. Nephron. Exp. Nephrol. 2011, 118, e15–e20. [Google Scholar] [CrossRef]
  17. Au, K.S.; Ward, C.H.; Northrup, H. Tuberous sclerosis complex: Disease modifiers and treatments. Curr. Opin. Pediatrics 2008, 20, 628–633. [Google Scholar] [CrossRef]
  18. van Slegtenhorst, M.; de Hoogt, R.; Hermans, C.; Nellist, M.; Janssen, B.; Verhoef, S.; Lindhout, D.; van den Ouweland, A.; Halley, D.; Young, J.; et al. Identification of the tuberous sclerosis gene TSC1 on chromosome 9q34. Science 1997, 277, 805–808. [Google Scholar] [CrossRef]
  19. European Chromosome 16 Tuberous Sclerosis Consortium. Identification and characterization of the tuberous sclerosis gene on chromosome 16. Cell 1993, 75, 1305–1315. [Google Scholar] [CrossRef]
  20. Dibble, C.C.; Elis, W.; Menon, S.; Qin, W.; Klekota, J.; Asara, J.M.; Finan, P.M.; Kwiatkowski, D.J.; Murphy, L.O.; Manning, B.D. TBC1D7 is a third subunit of the TSC1-TSC2 complex upstream of mTORC1. Mol. Cell 2012, 47, 535–546. [Google Scholar] [CrossRef] [Green Version]
  21. Gai, Z.; Chu, W.; Deng, W.; Li, W.; Li, H.; He, A.; Nellist, M.; Wu, G. Structure of the TBC1D7-TSC1 complex reveals that TBC1D7 stabilizes dimerization of the TSC1 C-terminal coiled coil region. J. Mol. Cell Biol. 2016, 8, 411–425. [Google Scholar] [CrossRef] [Green Version]
  22. Dabora, S.L.; Jozwiak, S.; Franz, D.N.; Roberts, P.S.; Nieto, A.; Chung, J.; Choy, Y.S.; Reeve, M.P.; Thiele, E.; Egelhoff, J.C.; et al. Mutational analysis in a cohort of 224 tuberous sclerosis patients indicates increased severity of TSC2, compared with TSC1, disease in multiple organs. Am. J. Hum. Genet. 2001, 68, 64–80. [Google Scholar] [CrossRef] [Green Version]
  23. Sancak, O.; Nellist, M.; Goedbloed, M.; Elfferich, P.; Wouters, C.; Maat-Kievit, A.; Zonnenberg, B.; Verhoef, S.; Halley, D.; van den Ouweland, A. Mutational analysis of the TSC1 and TSC2 genes in a diagnostic setting: Genotype--phenotype correlations and comparison of diagnostic DNA techniques in Tuberous Sclerosis Complex. Eur. J. Hum. Genet. EJHG 2005, 13, 731–741. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Metzker, M.L. Sequencing technologies—The next generation. Nat. Rev. Genet. 2010, 11, 31–46. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Bauer, P.; Kandaswamy, K.K.; Weiss, M.E.R.; Paknia, O.; Werber, M.; Bertoli-Avella, A.M.; Yuksel, Z.; Bochinska, M.; Oprea, G.E.; Kishore, S.; et al. Development of an evidence-based algorithm that optimizes sensitivity and specificity in ES-based diagnostics of a clinically heterogeneous patient population. Genet. Med. Off. J. Am. Coll. Med Genet. 2019, 21, 53–61. [Google Scholar] [CrossRef] [Green Version]
  26. Qin, W.; Kozlowski, P.; Taillon, B.E.; Bouffard, P.; Holmes, A.J.; Janne, P.; Camposano, S.; Thiele, E.; Franz, D.; Kwiatkowski, D.J. Ultra deep sequencing detects a low rate of mosaic mutations in tuberous sclerosis complex. Hum. Genet. 2010, 127, 573–582. [Google Scholar] [CrossRef] [Green Version]
  27. Tyburczy, M.E.; Dies, K.A.; Glass, J.; Camposano, S.; Chekaluk, Y.; Thorner, A.R.; Lin, L.; Krueger, D.; Franz, D.N.; Thiele, E.A.; et al. Mosaic and Intronic Mutations in TSC1/TSC2 Explain the Majority of TSC Patients with No Mutation Identified by Conventional Testing. PLoS Genet. 2015, 11, e1005637. [Google Scholar] [CrossRef]
  28. Suspitsin, E.N.; Yanus, G.A.; Dorofeeva, M.Y.; Ledashcheva, T.A.; Nikitina, N.V.; Buyanova, G.V.; Saifullina, E.V.; Sokolenko, A.P.; Imyanitov, E.N. Pattern of TSC1 and TSC2 germline mutations in Russian patients with tuberous sclerosis. J. Hum. Genet. 2018, 63, 597–604. [Google Scholar] [CrossRef]
  29. Meng, Y.; Yu, C.; Chen, M.; Yu, X.; Sun, M.; Yan, H.; Zhao, W.; Yu, S. Mutation landscape of TSC1/TSC2 in Chinese patients with tuberous sclerosis complex. J. Hum. Genet. 2021, 66, 227–236. [Google Scholar] [CrossRef]
  30. van Slegtenhorst, M.; Verhoef, S.; Tempelaars, A.; Bakker, L.; Wang, Q.; Wessels, M.; Bakker, R.; Nellist, M.; Lindhout, D.; Halley, D.; et al. Mutational spectrum of the TSC1 gene in a cohort of 225 tuberous sclerosis complex patients: No evidence for genotype-phenotype correlation. J. Med. Genet. 1999, 36, 285–289. [Google Scholar]
  31. Rossetti, S.; Torra, R.; Coto, E.; Consugar, M.; Kubly, V.; Malaga, S.; Navarro, M.; El-Youssef, M.; Torres, V.E.; Harris, P.C. A complete mutation screen of PKHD1 in autosomal-recessive polycystic kidney disease (ARPKD) pedigrees. Kidney Int. 2003, 64, 391–403. [Google Scholar] [CrossRef] [Green Version]
  32. Ward, C.J.; Hogan, M.C.; Rossetti, S.; Walker, D.; Sneddon, T.; Wang, X.; Kubly, V.; Cunningham, J.M.; Bacallao, R.; Ishibashi, M.; et al. The gene mutated in autosomal recessive polycystic kidney disease encodes a large, receptor-like protein. Nat. Genet. 2002, 30, 259–269. [Google Scholar] [CrossRef]
  33. Adeva, M.; El-Youssef, M.; Rossetti, S.; Kamath, P.S.; Kubly, V.; Consugar, M.B.; Milliner, D.M.; King, B.F.; Torres, V.E.; Harris, P.C. Clinical and molecular characterization defines a broadened spectrum of autosomal recessive polycystic kidney disease (ARPKD). Medicine 2006, 85, 1–21. [Google Scholar] [CrossRef]
  34. Bergmann, C.; Senderek, J.; Windelen, E.; Kupper, F.; Middeldorf, I.; Schneider, F.; Dornia, C.; Rudnik-Schoneborn, S.; Konrad, M.; Schmitt, C.P.; et al. Clinical consequences of PKHD1 mutations in 164 patients with autosomal-recessive polycystic kidney disease (ARPKD). Kidney Int. 2005, 67, 829–848. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Avni, F.E.; Guissard, G.; Hall, M.; Janssen, F.; DeMaertelaer, V.; Rypens, F. Hereditary polycystic kidney diseases in children: Changing sonographic patterns through childhood. Pediatric Radiol. 2002, 32, 169–174. [Google Scholar] [CrossRef]
  36. Bergmann, C.; Senderek, J.; Sedlacek, B.; Pegiazoglou, I.; Puglia, P.; Eggermann, T.; Rudnik-Schoneborn, S.; Furu, L.; Onuchic, L.F.; De Baca, M.; et al. Spectrum of mutations in the gene for autosomal recessive polycystic kidney disease (ARPKD/PKHD1). J. Am. Soc. Nephrol. JASN 2003, 14, 76–89. [Google Scholar] [CrossRef] [Green Version]
  37. Huber, T.B.; Walz, G.; Kuehn, E.W. mTOR and rapamycin in the kidney: Signaling and therapeutic implications beyond immunosuppression. Kidney Int. 2011, 79, 502–511. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Shillingford, J.M.; Murcia, N.S.; Larson, C.H.; Low, S.H.; Hedgepeth, R.; Brown, N.; Flask, C.A.; Novick, A.C.; Goldfarb, D.A.; Kramer-Zucker, A.; et al. The mTOR pathway is regulated by polycystin-1, and its inhibition reverses renal cystogenesis in polycystic kidney disease. Proc. Natl. Acad. Sci. USA 2006, 103, 5466–5471. [Google Scholar] [CrossRef] [Green Version]
  39. Kahle, K.T.; Merner, N.D.; Friedel, P.; Silayeva, L.; Liang, B.; Khanna, A.; Shang, Y.; Lachance-Touchette, P.; Bourassa, C.; Levert, A.; et al. Genetically encoded impairment of neuronal KCC2 cotransporter function in human idiopathic generalized epilepsy. EMBO Rep. 2014, 15, 766–774. [Google Scholar] [CrossRef] [PubMed]
  40. Puskarjov, M.; Seja, P.; Heron, S.E.; Williams, T.C.; Ahmad, F.; Iona, X.; Oliver, K.L.; Grinton, B.E.; Vutskits, L.; Scheffer, I.E.; et al. A variant of KCC2 from patients with febrile seizures impairs neuronal Cl− extrusion and dendritic spine formation. EMBO Rep. 2014, 15, 723–729. [Google Scholar] [CrossRef] [Green Version]
  41. Takeuchi, K.; Shimizu, K. Hypogenesis of bilateral internal carotid artery. Brain Nerve 1957, 9, 37–43. [Google Scholar]
  42. Suzuki, J. Moyamoya Disease; Springer: Berlin/Heidelberg, Germany, 1986. [Google Scholar]
  43. Liu, W.; Morito, D.; Takashima, S.; Mineharu, Y.; Kobayashi, H.; Hitomi, T.; Hashikata, H.; Matsuura, N.; Yamazaki, S.; Toyoda, A.; et al. Identification of RNF213 as a susceptibility gene for moyamoya disease and its possible role in vascular development. PLoS ONE 2011, 6, e22542. [Google Scholar] [CrossRef] [Green Version]
  44. Kamada, F.; Aoki, Y.; Narisawa, A.; Abe, Y.; Komatsuzaki, S.; Kikuchi, A.; Kanno, J.; Niihori, T.; Ono, M.; Ishii, N.; et al. A genome-wide association study identifies RNF213 as the first Moyamoya disease gene. J. Hum. Genet. 2011, 56, 34–40. [Google Scholar] [CrossRef] [Green Version]
  45. Yonekawa, Y.; Ogata, N.; Kaku, Y.; Taub, E.; Imhof, H.G. Moyamoya disease in Europe, past and present status. Clin. Neurol. Neurosurg. 1997, 99 (Suppl. S2), S58–S60. [Google Scholar] [CrossRef]
  46. Yonekawa, Y.; Fandino, J.; Hug, M.; Wiesli, M.; Fujioka, M.; Khan, N. Moyamoya angiopathy in Europe. In Moyamoya Disease Update, 1st ed.; Cho, B.K., Tominaga, T., Eds.; Springer: Tokyo, Japan, 2010; pp. 361–369. [Google Scholar]
  47. Jang, M.A.; Chung, J.W.; Yeon, J.Y.; Kim, J.S.; Hong, S.C.; Bang, O.Y.; Ki, C.S. Frequency and significance of rare RNF213 variants in patients with adult moyamoya disease. PLoS ONE 2017, 12, e0179689. [Google Scholar] [CrossRef] [Green Version]
  48. Moteki, Y.; Onda, H.; Kasuya, H.; Yoneyama, T.; Okada, Y.; Hirota, K.; Mukawa, M.; Nariai, T.; Mitani, S.; Akagawa, H. Systematic Validation of RNF213 Coding Variants in Japanese Patients With Moyamoya Disease. J. Am. Heart Assoc. 2015, 4, e001862. [Google Scholar] [CrossRef] [Green Version]
  49. Liu, W.; Senevirathna, S.T.; Hitomi, T.; Kobayashi, H.; Roder, C.; Herzig, R.; Kraemer, M.; Voormolen, M.H.; Cahova, P.; Krischek, B.; et al. Genomewide association study identifies no major founder variant in Caucasian moyamoya disease. J. Genet. 2013, 92, 605–609. [Google Scholar] [CrossRef]
  50. Hever, P.; Alamri, A.; Tolias, C. Moyamoya angiopathy—Is there a Western phenotype? Br. J. Neurosurg. 2015, 29, 765–771. [Google Scholar] [CrossRef]
Table
Table 1. Genotype-phenotype features of TSC NMI patients.
Table 1. Genotype-phenotype features of TSC NMI patients.
Patient No.P1P2P3P4P5P6P7P8P9
Gender (M/F)MFMFMFFMM
Age (Y)253681313852114
TSC diagnostic
status		PossibleDefiniteDefinitePossiblePossiblePossibleDefinitePossibleDefinite
GeneticsAffected geneTSC1TSC1TSC2PKHD1SLC12A5RNF213NANANA
c.DNA changec.232G > Tc.1498C > Tc.226-6T > Gc.3747T > Gc.5513A > Gc.1417G > Ac.2875G > T
Protein changep.Glu78Xp.Arg500XN/Ap.Cys1249Trp p.Tyr1838Cysp.Val473Ilep.Gly959X
Variant typeNonsenseNonsenseSplicingMissenseMissenseMissenseNonsense
ZygosityHeterozygousHeterozygousHeterozygousHeterozygousHeterozygousHeterozygousHeterozygous
ClassificationLikely pathogenic (2)Pathogenic (1)VUS (3)Pathogenic (1)Pathogenic (1)VUS (3)Likely pathogenic (2)
Diagnosis after WESTSC type 1TSC type 1TSC type 2Polycystic kidney disease type 4 with or without hepatic diseaseIdiopathic generalized epilepsy type 14Moyamoya disease type 2
InheritanceADADADARADAD
SkinHypomelanotic macule−− −−++−+−
Adenoma sebaceum−+ −−−−+−−
Ungual fibroma−+ −−−−+−−
Shagreen patch−−−−−−−−−
Central nervous systemSEN−−−−−−−−+
SEGA−−−−−−−−−
Cortical tuber+−++−−−−+
Epilepsy+−++++−−−
Other−−−−White matter lesionsCortical lesions−Slow psychomotor development, Vermis hypoplasia, PolymicrogyriaCorpus pineale cyst
KidneyRenal cyst−−−+−−−−−
Renal tumor−+−−−−−−−
Angiomyolipoma−−−−−−+−−
HeartVentricular septal defect−−−−−+−−−
Rhabdomyoma−−+−−−−−−
Other symptoms−−−− −−LymphangioleiomyomatosisRight hallux onychodystrophy−
Abbreviations: TSC1: tuberous sclerosis 1, TSC2: tuberous sclerosis 2, PKHD1: fibrocystin, SLC12A5: solute carrier family 12 member 5, RNF213: ring finger protein 213, AD: autosomal dominant, AR: autosomal recessive, WES: whole exome sequencing, SEN: subependymal nodule, SEGA: subependymal glial cell astrocytome, VUS: variant of uncertain significance.
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Kovesdi, E.; Ripszam, R.; Postyeni, E.; Horvath, E.B.; Kelemen, A.; Fabos, B.; Farkas, V.; Hadzsiev, K.; Sumegi, K.; Magyari, L.; et al. Whole Exome Sequencing in a Series of Patients with a Clinical Diagnosis of Tuberous Sclerosis Not Confirmed by Targeted TSC1/TSC2 Sequencing. Genes 2021, 12, 1401. https://doi.org/10.3390/genes12091401

AMA Style

Kovesdi E, Ripszam R, Postyeni E, Horvath EB, Kelemen A, Fabos B, Farkas V, Hadzsiev K, Sumegi K, Magyari L, et al. Whole Exome Sequencing in a Series of Patients with a Clinical Diagnosis of Tuberous Sclerosis Not Confirmed by Targeted TSC1/TSC2 Sequencing. Genes. 2021; 12(9):1401. https://doi.org/10.3390/genes12091401

Chicago/Turabian Style

Kovesdi, Erzsebet, Reka Ripszam, Etelka Postyeni, Emese Beatrix Horvath, Anna Kelemen, Beata Fabos, Viktor Farkas, Kinga Hadzsiev, Katalin Sumegi, Lili Magyari, and et al. 2021. "Whole Exome Sequencing in a Series of Patients with a Clinical Diagnosis of Tuberous Sclerosis Not Confirmed by Targeted TSC1/TSC2 Sequencing" Genes 12, no. 9: 1401. https://doi.org/10.3390/genes12091401

APA Style

Kovesdi, E., Ripszam, R., Postyeni, E., Horvath, E. B., Kelemen, A., Fabos, B., Farkas, V., Hadzsiev, K., Sumegi, K., Magyari, L., Moreno, P. G., Bauer, P., & Melegh, B. (2021). Whole Exome Sequencing in a Series of Patients with a Clinical Diagnosis of Tuberous Sclerosis Not Confirmed by Targeted TSC1/TSC2 Sequencing. Genes, 12(9), 1401. https://doi.org/10.3390/genes12091401

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