Evidence map›Paper›PMID 41239373›Full record

ArticleBMC medical genomics2025

RNA sequencing provides functional insights and diagnostic resolution in previously unsolved rare disease cases.

Robert G Lewis, John M O'Shea, Lucilla Pizzo, Ting Wen, Makenzie L Fulmer, Jian Zhao, Jan Verheijen, Chaofan Zhang, Matt Velinder, Thomas J Nicholas and 15 more

Abstract read
In one paragraph

Article in BMC medical genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Benchmarking RNA-seq Tools for Real-World Diagnostic Applications.medRxiv : the preprint server for health sciences · 2026
    Article
  4. Special Issue "Molecular Progression in Genome-Related Diseases".International journal of molecular sciences · 2026
    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

25 authors.

Robert G LewisARUP Laboratories, Salt Lake City, UT, 84108, USA.
John M O'SheaARUP Laboratories, Salt Lake City, UT, 84108, USA.
Lucilla PizzoARUP Laboratories, Salt Lake City, UT, 84108, USA.
Ting WenARUP Laboratories, Salt Lake City, UT, 84108, USA.
Makenzie L FulmerARUP Laboratories, Salt Lake City, UT, 84108, USA.
Jian ZhaoARUP Laboratories, Salt Lake City, UT, 84108, USA.
Jan VerheijenARUP Laboratories, Salt Lake City, UT, 84108, USA.
Chaofan ZhangARUP Laboratories, Salt Lake City, UT, 84108, USA.
Matt VelinderDepartment of Human Genetics, Utah Center for Genetic Discovery, Salt Lake City, UT, 84112, USA.
Thomas J NicholasDepartment of Human Genetics, Utah Center for Genetic Discovery, Salt Lake City, UT, 84112, USA.
Steven E BoydenDepartment of Human Genetics, Utah Center for Genetic Discovery, Salt Lake City, UT, 84112, USA.
Alistair WardDepartment of Human Genetics, Utah Center for Genetic Discovery, Salt Lake City, UT, 84112, USA.
Erin E BaldwinDepartment of Pediatrics, Division of Medical Genetics, University of Utah, Salt Lake City, UT, 84112, USA.
Ashley AndrewsDepartment of Pediatrics, Division of Medical Genetics, University of Utah, Salt Lake City, UT, 84112, USA.
Joselin Hernandez RuizDepartment of Human Genetics, Utah Center for Genetic Discovery, Salt Lake City, UT, 84112, USA.
Marco MarchettiDepartment of Human Genetics, Utah Center for Genetic Discovery, Salt Lake City, UT, 84112, USA.
David ViskochilDepartment of Pediatrics, Division of Medical Genetics, University of Utah, Salt Lake City, UT, 84112, USA.
John C CareyDepartment of Pediatrics, Division of Medical Genetics, University of Utah, Salt Lake City, UT, 84112, USA.
Steven B BleylDepartment of Pediatrics, Division of Medical Genetics, University of Utah, Salt Lake City, UT, 84112, USA.
Russell J ButterfieldDivision of Pediatric Neurology, University of Utah, Salt Lake City, UT, 84112, USA.
Vanina TaliercioDepartment of Pediatrics, Division of Medical Genetics, University of Utah, Salt Lake City, UT, 84112, USA.
Lorenzo D BottoDepartment of Pediatrics, Division of Medical Genetics, University of Utah, Salt Lake City, UT, 84112, USA.
Rong MaoARUP Laboratories, Salt Lake City, UT, 84108, USA.
Pinar Bayrak-ToydemirARUP Laboratories, Salt Lake City, UT, 84108, USA. pinar.bayrak-toydemir@aruplab.com.
Undiagnosed Diseases Network

Funding

Intermountain West Clinical Site for the Undiagnosed Disease Network (UDN) Phase 2 SupplementU01HG010217 · NHGRI · UNIVERSITY OF UTAH · PI BOTTO, LORENZO DAVIDE · 2018 to 2022
$2.8M
From genomics to natural language processing: A protected environment for research computing in the health scienceS10OD021644 · OD · UNIVERSITY OF UTAH · PI CHEATHAM, THOMAS E. · 2017 to 2017
$494k
National Institutes of Health Shared Instrumentation Grant 1S10OD021644-01A1NHGRI NIH HHS U01 HG010217NIH HHS S10 OD021644NINDS NIH HHS U01HG010217
6 · The paper itself

Abstract

Exome and genome sequencing have greatly improved the diagnosis of rare genetic disorders but remain limited in their ability to identify and classify non-coding variants, including intronic variants, cryptic splice-site alterations, and disruptions in regulatory regions. RNA sequencing (RNA-seq) has emerged as a powerful tool to bridge this gap by providing functional insights into genomic variants that disrupt splicing or gene expression, thereby aiding in variant interpretation and classification. We retrospectively reviewed 30 cases from the Utah Penelope Program and the Undiagnosed Diseases Network over a three-year period, in which RNA-seq was performed on whole blood and/or fibroblasts following either negative DNA sequencing or the identification of candidate variants requiring functional assessment. In these cases, RNA-seq identified exon skipping, cryptic splice-site activation, and intron retention, leading to transcript disruption. Additionally, positional enrichment analysis clarified X-inactivation patterns and dosage effects, confirming the pathogenicity of copy number variants. By detecting these transcript-level alterations, RNA-seq provided functional evidence supporting the reclassification of multiple variants of uncertain significance, contributing to diagnostic resolution in selected cases. This study underscores the clinical utility of RNA-seq in detecting splicing and regulatory defects that DNA sequencing and predictive tools alone cannot resolve. Integrating RNA-seq into clinical workflows can support variant classification, aid in diagnostic resolution for selected cases, and provide mechanistic insights into genetic disorders, contributing to patient care and genetic counseling.

Indexed as

Rare DiseasesSequence Analysis, RNAFemaleHumansMaleRetrospective StudiesRNA SplicingGenomicsRare diseaseRNA sequencingSplicingVariant reclassification

Identifiers

PMID41239373
PMCPMC12619422

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.