A customized scaffolds approach for the detection and phasing of complex variants by next-generation sequencing

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.

Is Gauchian genotyping of GBA1 variants reliable?

Biallelic mutations in GBA1 result in Gaucher disease (GD), the inherited deficiency of glucocerebrosidase. Variants in GBA1 are also a common genetic risk factor for Parkinson disease (PD). Currently, some PD centers screen for mutant GBA1 alleles to stratify patients who may ultimately benefit from GBA1-targeted therapeutics. However, accurately detecting variants, especially recombinant alleles resulting from a crossover between GBA1 and its pseudogene, is challenging, impacting studies of both GD and GBA1-associated parkinsonism. Recently, the software tool Gauchian was introduced to identify GBA1 variants from whole genome sequencing. We evaluated Gauchian in 90 Sanger-sequenced patients with GD and five GBA1 heterozygotes. While Gauchian genotyped most patients correctly, it missed some rare or de novo mutations due to its limited internal database and over-reliance on intergenic structural variants. This resulted in misreported homozygosity, incomplete genotypes, and undetected recombination events, limiting Gauchian's utility in variant screening and precluding its use in diagnostics.