Evidence map›Paper›PMID 41807732›Full record

ArticleEuropean journal of human genetics : EJHG2026

HiFi long-read RNA sequencing enhances clinical diagnostics in rare disorders.

Carolina Jaramillo Oquendo, Federico Ferraro, Htoo A Wai, Heather Ferrao, Herma van der Linde, Evita Karelioti, Liz Tseng, Harsharan Dhillon, Sam Holt, David J Bunyan and 7 more

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Expanding the genomic world: from disease to society.European journal of human genetics : EJHG · 2026
    Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Carolina Jaramillo Oquendo *Human Genetics and Genomic Medicine, Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0002-9875-0998
Federico Ferraro *Department of Clinical Genetics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.ORCID http://orcid.org/0000-0003-1365-2529
Htoo A WaiHuman Genetics and Genomic Medicine, Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.
Heather FerraoPacific Biosciences, Menlo Park, CA, USA.
Herma van der LindeDepartment of Clinical Genetics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Evita KareliotiGenomeScan B.V, Leiden, the Netherlands.
Liz TsengPacific Biosciences, Menlo Park, CA, USA.
Harsharan DhillonPacific Biosciences, Menlo Park, CA, USA.
Sam HoltPacific Biosciences, Menlo Park, CA, USA.
David J BunyanWessex Genomics Laboratory Service, Salisbury District Hospital, Salisbury, UK.ORCID http://orcid.org/0000-0001-8686-558X
Laura Donker KaatDepartment of Clinical Genetics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Marieke van DoorenDepartment of Clinical Genetics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Jeff ZhouPacific Biosciences, Menlo Park, CA, USA.
Sarah EnnisHuman Genetics and Genomic Medicine, Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0003-2648-0869
John W HollowayHuman Genetics and Genomic Medicine, Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0001-9998-0464
Tjakko J van HamDepartment of Clinical Genetics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands. t.vanham@erasmusmc.nl.ORCID http://orcid.org/0000-0002-2175-8713
Diana BaralleHuman Genetics and Genomic Medicine, Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK. d.baralle@soton.ac.uk.ORCID http://orcid.org/0000-0003-3217-4833

Funding

DH | National Institute for Health Research (NIHR) NIHR303895DH | National Institute for Health Research (NIHR) RP-2016-07-011
6 · The paper itself

Abstract

Splice-disrupting variants are estimated to account for one-third of disease-causing variants, yet many remain underrepresented in clinical databases due to limitations in detecting splicing changes beyond canonical splice sites. Short-read RNA sequencing (RNA-seq) has proved to be a valuable complement in clinical practice to address this gap, however, the added value of long-read RNA-seq is unclear. We evaluated the potential of PacBio long-read RNA-seq to detect pathogenic splicing events in rare disorders, comparing its performance to short-read RNA-seq. Participants from the UK (n = 23) and the Netherlands (n = 2) with suspected splice-altering variants underwent long-read RNA-seq following the Kinnex full-length RNA protocol. HiFi reads from the Revio instrument were processed using the Read Segmentation and Iso-Seq workflow and then classified and filtered using Pigeon. Detection of disease genes was comparable with short reads, with fibroblast capturing more transcripts overall. Novel isoforms accounted for ~14% of detected transcripts in both tissues, increasing following cycloheximide treatment in fibroblasts and decreasing following globin depletion in blood. Transcript abundance estimates showed strong concordance between short- and long-read platforms (Pearson r = 0.86 and 0.61 in blood and fibroblasts, respectively). LRS captured 21 confirmed known events, and revealed additional transcript-level effects in eight cases. This included intron retention, multiple exon skipping, leaky splicing, variant phasing, and isoform switching. These results demonstrate that long-read RNA-seq enhances detection and interpretation of clinically relevant splicing events, supporting its integration into diagnostic workflows for rare diseases.

Indexed as

Genetic TestingRare DiseasesRNA-SeqSequence Analysis, RNAHumansRNA Splicing

Identifiers

PMID41807732
PMCPMC13247170

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.