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Clinical and genetic spectrum of 355 Chinese children with epilepsy: a trio-sequencing-based study

Jing Duan, Yuanzhen Ye, Dezhi Cao, Dongfang Zou, Xinguo Lu, Li Chen, Jialun Wen, Huafang Zou, Gao Jian, LI Bing-ying, Zhanqi Hu, Jianxiang Liao

2022Brain12 citationsDOIOpen Access PDF

Abstract

We read with great interest the cohort study of children with epilepsy that was recently published by Zou et al.1 The authors recruited 320 paediatric epilepsy patients between October 2016 and December 2017 and performed genome sequencing on probands. They analysed genome sequencing data with comprehensive pedigree and clinical data and concluded that genome sequencing should be the first choice for genetic testing in epilepsy patients. We agree that the application of genome sequencing in children with epilepsy will lead to accurate interpretation of genetic testing and thus benefit therapeutic decision-making and precision medicine. However, there are several methods and strategies to applying next-generation sequencing for clinical diagnostics, which vary in the type of sequencing regions and cost. According to the American College of Medical Genetics and Genomics guidelines, trio-based genetic analysis of the proband and both biological parents is important in determining if a variant is inherited or if it is de novo and thus affects variant classification and identification.2 Hence, our group retrospectively reviewed and analysed paediatric epilepsy patients who underwent diagnostic trio-based clinical genetic testing at Shenzhen Children’s Hospital between September 2019 and June 2020. A total of 355 cases were included; 168 of the patients and their parents underwent whole-exome sequencing (WES), 48 patients and their parents underwent whole genome sequencing (WGS) and 139 patients underwent WGS while their parents underwent WES. We systematically reviewed detailed clinical records of patients in all groups. We evaluated the clinical characteristics that were associated with a positive genetic diagnosis and assessed the potential impact of the genetic diagnosis on management strategy. Zou’s group1 performed genome sequencing on 320 Chinese children with epilepsy and uncovered pathogenic/likely pathogenic variants in 117 of the 320 children (36.6%). A similar diagnostic rate was observed in our analysis, with 117 of the 355 patients (32.96%) showing causative results (79 with single nucleotide variations or insertion deletions, 32 with copy number variations and five with mitochondrial mutations; Fig. 1A). We identified 89 causative single nucleotide variations or insertion deletion variants in 79 patients (Supplementary Table 1). The variants were most frequently found in PRRT2 (10/88, 11.36%), which is associated with benign familial infantile epilepsy, followed by SCN1A (7/88, 7.95%), which is associated with Dravet syndrome and TSC2 (5/88, 5.68%), which is associated with tuberous sclerosis. Interestingly, five patients were identified with multilocus disease-causing genomic variations, which may lead to multiple genetic diagnoses (Fig. 1B and Supplementary Tables 1 and 2). All patients with two molecular diagnoses showed two pathogenic variants that cause autosomal dominant disease, and three of them showed two de novo mutations in autosomal dominant disease genes. A 6-month-old boy (Case GT110) had a de novo missense mutation in SYNGAP1 and a 16p11.2 recurrent microdeletion (524.61 Kb) inherited from his mother. Another 4-month-old boy (Case GT130) had a de novo missense mutation in PACS1 and a recurrent frameshift mutation in PRRT2 inherited from his father, who experienced seizures as a child. The percentage of positive cases with de novo mutations in our group was slightly higher compared with that of Zou’s group1 (67.82% and 60%). Trio-based genetic testing has been proved to be particularly successful in identifying de novo variations3,4 and diagnosing with a high pathogenic variant rate.5 Our data support that the trio-based approach should be treated as a good option in light of the known clinical and genetic heterogeneity seen in epilepsy, especially when considering multiple genetic diagnoses. The genomic landscape of Chinese children with epilepsy. (A) Variation type in 335 patients with epilepsy. (B) Candidate single nucleotide variations found in 81 epilepsy patients. (C) Distribution of associated diagnostic copy number variations across chromosomes; circles represent deletion copy number variations, boxes represent triplicate copy number variations, triangles represent duplicate copy number variations. (D) Candidate copy number variations found in 32 epilepsy patients. (E) Comparison of patients with pathogenic or likely pathogenic variants and patients without causative variants. We also identified 37 causative copy number variants in 32 patients (Supplementary Table 2) that ranged from 258 bp to 97.79 Mb and encompassed 30 deletions (81.1%), six duplications (16.2%) and one triplication (2.7%; Fig. 1C). As shown in Fig. 1D, the numbers of copy number variants varied on each chromosome, and the proportion of (28/37, 75.7%) of de novo copy number variants was similar to that of de novo single nucleotide variations. The most frequent copy number variant was 16p11.2 recurrent deletions, which were found in seven patients. Interestingly, PRRT2, the most common gene harbouring single nucleotide variations or insertion deletion variants, is contained in the 16p11.2 recurrent deletion region, which indicates that mutations involving this gene were found in 17 patients, accounting for 14% of all positive cases (Supplementary Tables 1 and 2). Combined with the results from Zou’s group that reported 10 cases with a mutation in PRRT2, these findings suggest that aberrations in PRRT2 may be one of the most common causes of monogenic epilepsies in Chinese children. Additionally, although mitochondrial mutations were not mentioned in Zou’s study, we performed mitochondrial analysis in patients who underwent both WES and mitochondrial gene testing, as well as patients who underwent WGS with an enhanced WGS pipeline. The results identified four mitochondrial mutations in five patients including m.3243A>G (two patients), m.8993T>G (one patient), m.4810-15538del (one patient) and m.621_15950del (one patient) (Supplementary Table 2) In addition, m.827A>G, which may cause hearing loss after aminoglycoside treatment, was found in six patients. This finding is a reminder that aminoglycoside should be avoided for infectious disease treatment in these patients. Zou et al.1 reported that the age at onset of epileptic seizures and diagnosis of an epileptic syndrome associated with positive genetic diagnosis. Similarly, these two factors were significantly correlated with the detection of disease-causing variants in our group based on the chi-squared test (Supplementary Table 3). Three other factors also showed an association with positive genetic diagnosis in our study, including positive brain MRI, congenital heart disease and facial dysmorphic features (Fig. 1D and Supplementary Table 2). The positive hit-rates in patients with facial dysmorphia and congenital heart disease were particularly high (71% and 78%, respectively). We identified 12 disease-causing variants in 17 patients with facial dysmorphic features and 14 disease-causing variants in 18 patients with congenital heart disease. In terms of brain MRI, the positive rate in patients who were positive was slightly higher than that in patients with normal results (42% and 29%, respectively). We also divided patients according to birth weight or dystonia into abnormal groups and normal groups. There was no significant difference in the positive rates between these groups. Genetic testing has become an essential part of clinical practice for epilepsy. It helps in establishing an aetiological diagnosis, providing prognostic information, precisely guiding therapy indicated for the patient and avoiding drugs that may worsen the seizures.6,7 This is supported by our study, in which patients with a disease-causing mutation were more commonly seizure-free than those with no disease-causing mutation (46% and 29%, respectively). In our cohort, 32 patients chose a more suitable drug after their genetic diagnosis was confirmed (Table 1). Adjustment of treatment was frequently observed in patients with mutations involving PRRT2 (17 cases), which is associated with benign familial infantile epilepsy. With oxcarbazepine treatment, these patients became seizure-free and had a good prognosis. Seven patients were told to avoid specific drugs because of loss of SCN1A function. Two patients were followed up with special follow-up content. Bilateral anterior and middle cerebral arteries were narrowed, and collateral circulation was observed in brain MRI of one of these two patients with RNF213 pathogenic mutation. Evidence has suggested that susceptibility to Moyamoya disease 2 (MYMY2) may be conferred by variations in the RNF213 gene (OMIM: 613768) on chromosome 17q25. Based on the condition of this patient and the positive testing result, aspirin was added to the therapy, and MRI and magnetic resonance angiography (MRA) were conducted for dynamic follow-up. Nine patients were treated with precision therapy after diagnosis, such as everolimus for patients with tuberous sclerosis with TSC1/2 mutation. In addition, 11 patients were diagnosed with ion channel- or synapse-related disease, which helped to prevent further invasive investigations and surgical treatment was not recommended. Thirty-three patients went to an antenatal reproductive centre for genetic counselling to have another child after the genetic diagnosis was confirmed. These results confirmed that, in addition to clarifying the ecological diagnosis and treatment, genetic counselling and social support could also be useful for many families. Impact of genetic testing Impact of genetic testing In conclusion, with the fast-approaching personal genomics era and advances in high-throughput sequencing, WES as well as WGS are now commonly used as diagnostic tools in the clinical setting.7–10 Our results provided evidence that nearly 70% of positive patients carried de novo mutations and five patients showed mitochondrial diseases features. In addition, our data indicated that patients with multilocus disease–causing genomic variations are not rare among children with epilepsy, which challenges clinic diagnosis and genetic counselling. Incorporation of next generation sequencing into clinical practice for epilepsy patients continues to expand the list of variants, posing particular challenges for clinical decision-making for carriers of pathogenic variants regarding personalized drug therapy and genetic counselling. Our strategy that combines multiple sequencing technologies with a trio approach (proband, mother and proband) not only benefits patients with epilepsy features but will also accelerate the interpretation of pathogenic variants for precision medicine. Moreover, our research supports the essential role of genetic testing in the clinical practice of epilepsy. All data are available from the corresponding author upon reasonable request, with the exception of primary patient sequencing data that cannot be made available due to consent regulations. We thank patients for their participation and cooperation. This work was supported by the Sanming Project of Medicine in Shenzhen (SZSM201812005); Shenzhen Fund for Guangdong Provincial High Level Clinical Key Specialties (No. SZGSP012); Shenzhen Key Medical Discipline Construction Fund (No. SZXK033); and the Shenzhen-Hong Kong Institute of Brain Science – Shenzhen Fundamental Research Institutions (No. NYKFKT20190014). The funding bodies had no role in the design of the study, the collection, analysis, or interpretation of the data, or writing the manuscript. The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Supplementary material is available at Brain online.

Topics & Concepts

EpilepsySpectrum (functional analysis)MedicineGeneticsAudiologyPsychiatryBiologyPhysicsQuantum mechanicsGenomics and Rare DiseasesGenetics and Neurodevelopmental DisordersMetabolism and Genetic Disorders