ABSTRACT
DBR1 encodes the only known human lariat debranching enzyme and its deficiency has been found to cause an autosomal recessive inborn error of immunity characterized by pediatric brainstem viral-induced encephalitis (MIM 619441). We describe a distinct allelic disorder caused by a founder recessive DBR1 variant in four families (DBR1(NM_016216.4):c.200A > G (p.Tyr67Cys)). Consistent features include prematurity, severe intrauterine growth deficiency, congenital ichthyosis-like presentation (collodion membrane, severe skin peeling and xerosis), and death before the first year of life. Patient-derived fibroblasts displayed the characteristic accumulation of intron lariats in their RNA as revealed by targeted and untargeted analysis, in addition to a marked reduction of DBR1 on immunoblot analysis. We propose a novel DBR1-related developmental disorder that is distinct from DBR1-related encephalitis susceptibility and highlight the apparent lack of correlation with the degree of DBR1 deficiency.
Subject(s)
Encephalitis , Ichthyosis , Child , Humans , Alleles , Causality , Fibroblasts , Ichthyosis/geneticsABSTRACT
BACKGROUND: Neurological disorders are clinically heterogeneous group of disorders and are major causes of disability and death. Several of these disorders are caused due to genetic aberration. A precise and confirmatory diagnosis in the patients in a timely manner is essential for appropriate therapeutic and management strategies. Due to the complexity of the clinical presentations across various neurological disorders, arriving at an accurate diagnosis remains a challenge. METHODS: We sequenced 1012 unrelated patients from India with suspected neurological disorders, using TruSight One panel. Genetic variations were identified using the Strand NGS software and interpreted using the StrandOmics platform. RESULTS: We were able to detect mutations in 197 genes in 405 (40%) cases and 178 mutations were novel. The highest diagnostic rate was observed among patients with muscular dystrophy (64%) followed by leukodystrophy and ataxia (43%, each). In our cohort, 26% of the patients who received definitive diagnosis were primarily referred with complex neurological phenotypes with no suggestive diagnosis. In terms of mutations types, 62.8% were truncating and in addition, 13.4% were structural variants, which are also likely to cause loss of function. CONCLUSION: In our study, we observed an improved performance of multi-gene panel testing, with an overall diagnostic yield of 40%. Furthermore, we show that NGS (next-generation sequencing)-based testing is comprehensive and can detect all types of variants including structural variants. It can be considered as a single-platform genetic test for neurological disorders that can provide a swift and definitive diagnosis in a cost-effective manner.