RAPID: A Targeted Long-Read RNA Workflow for Functional Resolution of Splicing Variants in Rare Disease

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Authors: Kylie Montgomery, Hannah L. Macpherson, Claire W. Anderson, Charles E. Wade, Gustavsson Emil K, David S. Lynch, Louise C. Wilson, James E. Davison, Emma L. Wakeling, Karin Tuschl, Henry Houlden, Emma M. Clement
+2 more Philippa B. Mills, Mina Ryten
Cited by: 2
References: 11

Abstract

Abstract Background Molecular diagnosis of rare disease plateaus at ∼50%, partly due to technical limitations of short-read sequencing and the persistent challenge of interpreting variants of uncertain significance (VUS). Splice-altering variation represents a major source of unresolved cases, yet functional assessment remains difficult in routine practice. Methods We developed a fully modular, sample-to-answer workflow for targeted long-read RNA sequencing (lrRNA-seq) using Oxford Nanopore Technologies and applied it to six unsolved cases with suspected monogenic neurometabolic disease. Candidates were selected after WES/WGS and multidisciplinary team review (MDT) indicating ≤5 genes of interest. The workflow was designed to be diagnostically deployable, enabling near-full-length transcript assessment from accessible tissues without reliance on large control cohorts. Results lrRNA-seq yielded actionable findings for all six probands. It confirmed pathogenic splice disruption in two cases, prompted gene exclusion in one case, and generated RNA-level evidence prioritising further DNA investigation in three cases. Across these scenarios, lrRNA-seq provided direct, mechanism-level insight that either resolved diagnosis or refined variant interpretation. The workflow provided near-full-length isoform structures with reproducible single-sample interpretation and produced informative results within two working days at

Fields of Study & Subjects

Genomics and Rare Diseases Hereditary Neurological Disorders Genetic Neurodegenerative Diseases

Publication details

Journal / source
medRxiv
Publisher
openRxiv
Publication date
2 January 2026
Language
EN
Document type
Preprint