Reanalyzed whole-genome sequencing data from 1,578 unsolved probands and identified pathogenic variants in multiple snRNA genes, including RNU4-2, RNU2-2, RNU5B-1, and RNU4ATAC, and developed an snRNA-extended WES approach by incorporating capture probes targeting 50 snRNA genes into a standard exome design.
Abstract
Summary Pathogenic variants in small nuclear RNA (snRNA) genes have recently emerged as a major cause of Mendelian disorders, particularly neurodevelopmental disorders, yet they remain difficult to detect in routine diagnostics because conventional whole-exome sequencing (WES) does not capture snRNA loci. Here, we reanalyzed whole-genome sequencing (WGS) data from 1,578 unsolved probands and identified pathogenic variants in multiple snRNA genes, including RNU4-2, RNU2-2, RNU5B-1, and RNU4ATAC, accounting for 1.2% (19 patients) of previously unsolved cases. We then developed an snRNA-extended WES approach by incorporating capture probes targeting 50 snRNA genes into a standard exome design. Benchmarking demonstrated robust, uniform coverage across all targeted snRNA loci without increasing sequencing depth. Applying this approach to patient samples reliably detected disease-causing snRNA variants previously identified by WGS. Our results establish snRNA-extended WES as a cost-effective and scalable strategy to improve diagnostic yield and bridge the gap between recent gene discoveries and clinical genomic practice.
The results indicate that pangenome-based workflows aid improved detection of large variants from targeted sequencing data in the clinical context and suggest that they may contribute to more unified variant detection frameworks for all-size genetic variants in the future.
F. Mazzarotto, Özem Kalay, E. Arslan et al.· Genome Medicine· 0 citations
This work describes the full spectrum of genetic variation and shows that while 99% of the variants between any two genomes are single base-pair substitutions, 88% of the euchromatic variant base pairs are SVs, including insertions, deletions, duplications, and inversions.
J. Lin, J. Gustafson, J. Wertz et al.· medRxiv· 1 citation
TruPath Genome achieves high-resolution detection of SNVs and indels alongside long-range phasing for CNVs and structural variant (SV) refinement and facilitates telomere-to-telomere assemblies and pangenome development, advancing the understanding of genome biology at an unprecedented scale.
The first guidance for clinical variant classification in snRNA genes is provided and it is anticipated that this will support routine screening and analysis of snRNA genes in clinical genetic testing.
Elston N. D'souza, A. Blakes, Robin Paluch et al.· medRxiv· 0 citations
By leveraging specialized approaches for prioritizing pseudogenes, combined with the PCG and snRNA analysis, the genes and variants expand the variant pathogenicity spectrum of spliceosomopathies and suggest variants for follow-up case series and future functional validation.
O. Messaoud, S. DiTroia, R. Tarawneh et al.· medRxiv· 0 citations
Whole-exome sequencing (WES) enables the identification of rare germline variants contributing to pediatric diseases. Trio-based sequencing, comparing affected children with their parents, is particularly effective for rare disease genetics. However, WES data analysis requires bioinformatics expertise, varies across in...
Sara-Luisa Reh, C. Walter, J. Lohse et al.· Scientific Reports· 0 citations
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