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Updated: Mar 12, 2026

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Rare Event Detection Using Error-corrected DNA and RNA Sequencing
Published on: August 3, 2018
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HiFi long-read RNA sequencing enhances clinical diagnostics in rare disorders
Carolina Jaramillo Oquendo1, Federico Ferraro2, Htoo A Wai1
1Human Genetics and Genomic Medicine, Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.
European Journal of Human Genetics : EJHG
|March 11, 2026
Summary
Long-read RNA sequencing (RNA-seq) effectively detects splice-altering variants in rare diseases, complementing short-read methods. This technology enhances the identification and interpretation of disease-causing splicing events for improved diagnostics.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Splice-disrupting variants contribute to one-third of genetic diseases but are often missed by current clinical detection methods.
- Short-read RNA sequencing (RNA-seq) aids in detecting splicing changes, but the utility of long-read RNA-seq remains unclear.
Purpose of the Study:
- To evaluate the effectiveness of PacBio long-read RNA sequencing (LRS) in identifying pathogenic splicing events in rare genetic disorders.
- To compare the performance of LRS against short-read RNA sequencing for detecting splicing alterations.
Main Methods:
- Long-read RNA sequencing was performed on participants with suspected splice-altering variants using the Kinnex full-length RNA protocol on the Revio instrument.
- HiFi reads were processed using Read Segmentation and Iso-Seq, followed by classification and filtering with Pigeon.
- Data analysis focused on detecting known and novel splicing events and comparing transcript abundance with short-read data.
Main Results:
- Long-read RNA sequencing detected disease-relevant splicing events comparable to short-read RNA sequencing, with fibroblasts yielding more transcripts.
- Novel isoforms constituted approximately 14% of detected transcripts, with variations observed based on tissue type and experimental treatment.
- Transcript abundance estimates showed high concordance between short-read and long-read platforms (Pearson r = 0.86 in blood, 0.61 in fibroblasts).
- LRS identified 21 known splicing events and revealed additional transcript-level effects in eight cases, including intron retention, exon skipping, and isoform switching.
Conclusions:
- Long-read RNA sequencing significantly improves the detection and interpretation of clinically relevant splicing events in rare diseases.
- The findings support the integration of LRS into diagnostic workflows for rare genetic disorders, enhancing diagnostic yield.
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