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Updated: Jul 1, 2025
Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
In silico characterization and identification of compound heterozygous variants in H/ACA Ribonucleoprotein Assembly
Vykuntaraju K Gowda1, Varunvenkat M Srinivasan2, Sudhanshu Srivastava3
1Department of Pediatric Neurology, Indira Gandhi Institute of Child Health, Bangalore, Karnataka, India.
Background:
H/ACA small nucleolar ribonucleoproteins (snoRNP) form a complex with multiple proteins to accomplish the pseudouridylation of rRNA. The assembly of H/ACA small nucleolar ribonucleoproteins (snoRNP) is initiated by H/ACA ribonucleoprotein Assembly factor, that is, SHQ1. Mutations in SHQ1 have been reported to cause two disorders namely, dystonia-35 childhood onset (OMIM*619921) and neurodevelopmental disorder with seizures and dystonia (OMIM*619922), both of which are inherited in an autosomal recessive manner. Considering the high genetic and clinical diversity of SHQ1-related clinical features and the importance of SHQ1 in the assembly of the H/ACA snoRNP complex, it is important to take a systematic approach to delineate the genetic diagnosis and impact of mutations on protein structure and stability.
Methods:
Whole exome sequencing followed by Sanger validation was performed in an individual with the clinical features of neurodevelopmental disorder with seizures and dystonia (OMIM*619922). Protein modeling studies of all the reported SHQ1 variants to date were performed using freely available web servers Interactive Tree of Life, String, BioGrid, ShinyGO, DAVID, and Pathvix. Protein structures were visualized using Pymol.
Results And Discussion:
We identified compound heterozygous variants, one known frameshift deletion c. 828_831del, p.(Asp277Serfs*27) and the other novel missense variant c. 1157A>C, p.(Tyr386Ser) found in an individual with neurodevelopmental disorder, seizures, movement disorder, and hypomyelination leukodystrophy on neuroimaging. Protein-interactome studies identified potential genetic interactors that include GAR1, NAF1, TRUB1, UTP15, DKC1, NOP10, NPHOSPH 10, KRR1, NOP58, NOP56, FBL, RRP9, NHP2, RUVBL1, and RUVBL2. Ribosome biogenesis in eukaryotes, RNA polymerase, RNA transport, spliceosome, ribosome, cytosolic DNA-sensing pathway, DNA replication, mismatch repair, base excision repair, nucleotide excision repair, and basal transcription factors process were identified as the linked pathways with the prioritized genes.
Conclusion:
In conclusion, a sophisticated genotype and phenotype correlation followed by linking the genes to the key biological pathways opens new avenues to understand disease pathology and plan for therapeutic interventions.
