Clinical Utility of Exome Sequencing and Reinterpreting Genetic Test Results in Children and Adults With Epilepsy

Canadian College of Medical Geneticists: clinical practice advisory document - responsibility to recontact for reinterpretation of clinical genetic testing

BACKGROUND

Advances in technology and knowledge have facilitated both an increase in the number of patient variants reported and variants reclassified. While there is currently no duty to recontact for reclassified genetic variants, there may be a responsibility. The purpose of this clinical practice advisory document is to provide healthcare practitioners guidance for recontact of previously identified and classified variants, suggest methods for recontact, and principles to consider, taking account patient safety, feasibility, ethical considerations, health service capacity and resource constraints. The target audience are practitioners who order genetic testing, follow patients who have undergone genetic testing and those analysing and reporting genetic testing.

METHODS

A multidisciplinary group of laboratory and ordering clinicians, patient representatives, ethics and legal researchers and a genetic counsellor from the Canadian Association of Genetic Counsellors reviewed the existing literature and guidelines on responsibility to recontact in a clinical context to make recommendations. Comments were collected from the Canadian College of Medical Geneticists (CCMG) Education, Ethics, and Public Policy, Clinical Practice and Laboratory Practice committees, and the membership at large.

RESULTS

Following incorporation of feedback, and external review by the Canadian Association of Genetic Counsellors and patient groups, the document was approved by the CCMG Board of Directors. The CCMG is the Canadian organisation responsible for certifying laboratory and medical geneticists who provide medical genetics services, and for establishing professional and ethical standards for clinical genetics services in Canada.

CONCLUSION

The document describes the ethical and practical factors and suggests a shared responsibility between patients, ordering clinician and laboratory practitioners.

A Retrospective Review of Reclassification of Variants of Uncertain Significance in a Pediatric Epilepsy Cohort Undergoing Genetic Panel Testing

BACKGROUND

The interpretation and communication of variant of uncertain significance (VUS) genetic results often present a challenge in clinical practice. VUSs can be reclassified over time into benign/likely benign (B/LB) or pathogenic/likely pathogenic (P/LP) based on the availability of updated data. We evaluate the frequency of VUS reclassification in our tertiary care epilepsy cohort undergoing epilepsy genetic panel (EGP) testing.

METHODS

Patients with established diagnoses of epilepsy (neonates to 18 years of age) who underwent EGP testing between 2017 and 2022 from a single commercial laboratory were evaluated. Patients who had any variant reclassified from their initial EGP report were included. Duration between reclassification of VUSs and types of reclassifications were compared between developmental and epileptic encephalopathy (DEE) versus non-DEE phenotypes.

RESULTS

Over the five years, 1025 probands were tested using EGP. Eighty-five probands (8%) had at least one genetic variant reclassified. A total of 252 initial VUSs were reported in the 85 probands, of which 113 (45%) VUSs were reclassified. Of 113 reclassification events, 21 (19%) were upgraded to P/LP and 92 (81%) were reclassified to B/LB. The median (interquartile range) duration between variant reinterpretations in the cohort was 12 (14.5) months. There were no significant differences in the duration between reclassification and the likelihood of reclassification of VUSs to B/LB or P/LP between the two groups (DEE versus non-DEE).

CONCLUSIONS

VUS reclassification over time can lead to clinically significant variant reinterpretation in patients with unknown genetic diagnoses. Periodic genomic test reinterpretation, preferably yearly, is recommended in routine clinical practice.

A systematic review of the assessment of the clinical utility of genomic sequencing: Implications of the lack of standard definitions and measures of clinical utility

PURPOSE

Exome sequencing (ES) and genome sequencing (GS) are diagnostic tests for rare genetic diseases. Studies report clinical utility of ES/GS. The goal of this systematic review is to establish how clinical utility is defined and measured in studies evaluating the impacts of ES/GS results for pediatric patients.

METHODS

Relevant articles were identified in PubMed, Medline, Embase, and Web of Science. Eligible studies assessed clinical utility of ES/GS for pediatric patients published before 2021. Other relevant articles were added based on articles' references. Articles were coded to assess definitions and measures of clinical utility.

RESULTS

Of 1346 articles, 83 articles met eligibility criteria. Clinical utility was not clearly defined in 19% of studies and 92% did not use an explicit measure of clinical utility. When present, definitions of clinical utility diverged from recommended definitions and varied greatly, from narrow (diagnostic yield of ES/GS) to broad (including decisions about withdrawal of care/palliative care and/or impacts on other family members).

CONCLUSION

Clinical utility is used to guide policy and practice decisions about test use. The lack of a standard definition of clinical utility of ES/GS may lead to under- or overestimations of clinical utility, complicating policymaking and raising ethical issues.

Genetic variant interpretation for the neurologist - A pragmatic approach in the next-generation sequencing era in childhood epilepsy

Genetic advances over the past decade have enhanced our understanding of the genetic landscape of childhood epilepsy. However a major challenge for clinicians ha been understanding the rationale and systematic approach towards interpretation of the clinical significance of variant(s) detected in their patients. As the clinical paradigm evolves from gene panels to whole exome or whole genome testing including rapid genome sequencing, the number of patients tested and variants identified per patient will only increase. Each step in the process of variant interpretation has limitations and there is no single criterion which enables the clinician to draw reliable conclusions on a causal relationship between the variant and disease without robust clinical phenotyping. Although many automated online analysis software tools are available, these carry a risk of misinterpretation. This guideline provides a pragmatic, real-world approach to variant interpretation for the child neurologist. The focus will be on ascertaining aspects such as variant frequency, subtype, inheritance pattern, structural and functional consequence with regard to genotype-phenotype correlations, while refraining from mere interpretation of the classification provided in a genetic test report. It will not replace the expert advice of colleagues in clinical genetics, however as genomic investigations become a first-line test for epilepsy, it is vital that neurologists and epileptologists are equipped to navigate this landscape.

Functional investigation of SCN1A deep-intronic variants activating poison exons inclusion

Dravet syndrome is a devastating epileptic syndrome characterized by intractable epilepsy with an early age of onset, regression of developmental milestones, ataxia, and motor deficits. Loss-of-function pathogenic variants in the SCN1A gene are found in the majority of patients with Dravet syndrome; however, a significant number of patients remain undiagnosed even after comprehensive genetic testing. Previously, it was shown that intronic elements in the SCN1A gene called poison exons can incorporate into SCN1A mRNA, leading to haploinsufficiency and potentially causing Dravet syndrome. Here, we developed a splicing reporter assay for all described poison exons of the SCN1A gene and validated it using previously reported and artificially introduced variants. Overall, we tested 18 deep-intronic single nucleotide variants and one complex allele in the SCN1A gene. Our approach is capable of evaluating the effect of both variants affecting cis-regulatory sequences and splice-site variants, with the potential to functionally annotate every possible variant within these elements. Moreover, using antisense-modified uridine-rich U7 small nuclear RNAs, we were able to block poison exon incorporation in mutant constructs, an approach that could be used as a promising therapeutic intervention in Dravet syndrome patients with deep-intronic variants.

Early cost-utility analysis of genetically guided therapy for patients with drug-resistant epilepsy

OBJECTIVE

Existing gene panels were developed to understand the etiology of epilepsy, and further benefits will arise from an effective pharmacogenomics panel for personalizing therapy and achieving seizure control. Our study assessed the cost-effectiveness of a pharmacogenomics panel for patients with drug-resistant epilepsy, compared with usual care.

METHODS

A cost-utility analysis was employed using a discrete event simulation model. The microsimulation model aggregated the costs and benefits of genetically guided treatment versus usual care for 5000 simulated patients. The 10-year model combined data from various sources including genomic databases on prevalence of variants, population-level pharmaceutical claims on antiseizure medications, published long-term therapy retention rates, patient-level cost data, and systematic reviews. Incremental cost per quality-adjusted life-year (QALY) gained was computed. Deterministic and probabilistic sensitivity analyses were undertaken to address uncertainty in model parameters.

RESULTS

The mean cost of the genetically guided treatment option was AU$98 199 compared with AU$95 386 for usual care. Corresponding mean QALYs were 4.67 compared with 4.28 for genetically guided and usual care strategies, respectively. The incremental cost per QALY gained was AU$7381. In probabilistic sensitivity analyses, the incremental cost per QALY gained was AU$6321 (95% uncertainty interval = AU$3604-AU$9621), with a 100% likelihood of being cost-effective in the Australian health care system. The most influential drivers of the findings were the monthly health care costs associated with reduced seizures, costs when seizures continued, and the quality-of-life estimates under genetically guided and usual care strategies.

SIGNIFICANCE

This early economic evaluation of a pharmacogenomics panel to guide treatment for drug-resistant epilepsy could potentially be cost-effective in the Australian health care system. Clinical trial evidence is necessary to confirm these findings.

Identification of ultra-rare genetic variants in pediatric acute onset neuropsychiatric syndrome (PANS) by exome and whole genome sequencing

Abrupt onset of severe neuropsychiatric symptoms including obsessive-compulsive disorder, tics, anxiety, mood swings, irritability, and restricted eating is described in children with Pediatric Acute-Onset Neuropsychiatric Syndrome (PANS). Symptom onset is often temporally associated with infections, suggesting an underlying autoimmune/autoinflammatory etiology, although direct evidence is often lacking. The pathological mechanisms are likely heterogeneous, but we hypothesize convergence on one or more biological pathways. Consequently, we conducted whole exome sequencing (WES) on a U.S. cohort of 386 cases, and whole genome sequencing (WGS) on ten cases from the European Union who were selected because of severe PANS. We focused on identifying potentially deleterious genetic variants that were de novo or ultra-rare (MAF) < 0.001. Candidate mutations were found in 11 genes (PPM1D, SGCE, PLCG2, NLRC4, CACNA1B, SHANK3, CHK2, GRIN2A, RAG1, GABRG2, and SYNGAP1) in 21 cases, which included two or more unrelated subjects with ultra-rare variants in four genes. These genes converge into two broad functional categories. One regulates peripheral immune responses and microglia (PPM1D, CHK2, NLRC4, RAG1, PLCG2). The other is expressed primarily at neuronal synapses (SHANK3, SYNGAP1, GRIN2A, GABRG2, CACNA1B, SGCE). Mutations in these neuronal genes are also described in autism spectrum disorder and myoclonus-dystonia. In fact, 12/21 cases developed PANS superimposed on a preexisting neurodevelopmental disorder. Genes in both categories are also highly expressed in the enteric nervous system and the choroid plexus. Thus, genetic variation in PANS candidate genes may function by disrupting peripheral and central immune functions, neurotransmission, and/or the blood-CSF/brain barriers following stressors such as infection.

X-linked neonatal-onset epileptic encephalopathy associated with a gain-of-function variant p.R660T in GRIA3

The X-linked GRIA3 gene encodes the GLUA3 subunit of AMPA-type glutamate receptors. Pathogenic variants in this gene were previously reported in neurodevelopmental diseases, mostly in male patients but rarely in females. Here we report a de novo pathogenic missense variant in GRIA3 (c.1979G>C; p. R660T) identified in a 1-year-old female patient with severe epilepsy and global developmental delay. When exogenously expressed in human embryonic kidney (HEK) cells, GLUA3_R660T showed slower desensitization and deactivation kinetics compared to wildtype (wt) GLUA3 receptors. Substantial non-desensitized currents were observed with the mutant but not for wt GLUA3 with prolonged exposure to glutamate. When co-expressed with GLUA2, the decay kinetics were similarly slowed in GLUA2/A3_R660T with non-desensitized steady state currents. In cultured cerebellar granule neurons, miniature excitatory postsynaptic currents (mEPSCs) were significantly slower in R660T transfected cells than those expressing wt GLUA3. When overexpressed in hippocampal CA1 neurons by in utero electroporation, the evoked EPSCs and mEPSCs were slower in neurons expressing R660T mutant compared to those expressing wt GLUA3. Therefore our study provides functional evidence that a gain of function (GoF) variant in GRIA3 may cause epileptic encephalopathy and global developmental delay in a female subject by enhancing synaptic transmission.

Glutamate is the excitatory neurotransmitter in brain, abnormality of which causes excitotoxicity and diseases. Here we identified a pathogenic missense variant in GRIA3 gene in a female patient with severe epilepsy and global developmental delay. The X-linked GRIA3 gene encodes GLUA3, a subunit of glutamate receptors. Through electrophysiological analysis of the mutant GLUA3 in a cell line and mouse neurons, we found this mutant makes strengthened glutamate receptors. This study thus indicates that the variant causes epileptic encephalopathy and global developmental delay by enhancing glutamate signaling in brain.

Diagnostic Yield and Cost-Effectiveness of "Dynamic" Exome Analysis in Epilepsy with Neurodevelopmental Disorders: A Tertiary-Center Experience in Northern Italy

Background: The advent of next-generation sequencing (NGS) techniques in clinical practice led to a significant advance in gene discovery. We aimed to describe diagnostic yields of a “dynamic” exome-based approach in a cohort of patients with epilepsy associated with neurodevelopmental disorders. Methods: We conducted a retrospective, observational study on 72 probands. All patients underwent a first diagnostic level of a 135 gene panel, a second of 297 genes for inconclusive cases, and finally, a whole-exome sequencing for negative cases. Diagnostic yields at each step and cost-effectiveness were the objects of statistical analysis. Results: Overall diagnostic yield in our cohort was 37.5%: 29% of diagnoses derived from the first step analysis, 5.5% from the second step, and 3% from the third. A significant difference emerged between the three diagnostic steps (p < 0.01), between the first and second (p = 0.001), and the first and third (p << 0.001). The cost-effectiveness plane indicated that our exome-based “dynamic” approach was better in terms of cost savings and higher diagnostic rate. Conclusions: Our findings suggested that “dynamic” NGS techniques applied to well-phenotyped individuals can save both time and resources. In patients with unexplained epilepsy comorbid with NDDs, our approach might maximize the number of diagnoses achieved.

Next-Generation Sequencing Technologies and Neurogenetic Diseases

Next-generation sequencing (NGS) technology has led to great advances in understanding the causes of Mendelian and complex neurological diseases. Owing to the complexity of genetic diseases, the genetic factors contributing to many rare and common neurological diseases remain poorly understood. Selecting the correct genetic test based on cost-effectiveness, coverage area, and sequencing range can improve diagnosis, treatments, and prevention. Whole-exome sequencing and whole-genome sequencing are suitable methods for finding new mutations, and gene panels are suitable for exploring the roles of specific genes in neurogenetic diseases. Here, we provide an overview of the classifications, applications, advantages, and limitations of NGS in research on neurological diseases. We further provide examples of NGS-based explorations and insights of the genetic causes of neurogenetic diseases, including Charcot-Marie-Tooth disease, spinocerebellar ataxias, epilepsy, and multiple sclerosis. In addition, we focus on issues related to NGS-based analyses, including interpretations of variants of uncertain significance, de novo mutations, congenital genetic diseases with complex phenotypes, and single-molecule real-time approaches.