Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing 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.
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
24 authors.
Robert WangCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0003-2614-5956
Feng WangCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0001-8346-4692
Nicole DeBruyneCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0009-0009-2947-0288
Xinjun JiCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0002-1539-2807
Nicole M EngelhardtDivision of Human Genetics, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0003-0499-0884
Joseph Jee-Hwan ParkCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0009-0004-4298-595X
Amber NotaroCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0009-0008-4075-871X
Samantha GaerlanCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0009-0005-3808-980X
Ryan ParkCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0009-0006-7768-7359
Matthew J SchultzBiochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55902, USA.ORCID 0000-0002-6544-0766
Sheila CleverCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Elizabeth M McCormickMitochondrial Medicine Frontier Program, Division of Human Genetics, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0002-5478-8046
Kelsey KeithDepartment of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0002-7451-5117
Bobby G NgHuman Genetics Program, Sanford Children's Health Research Center, La Jolla, CA 92037, USA.ORCID 0000-0003-0649-848X
Kathryn E Kadash-EdmondsonCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0002-1437-0147
Hudson H FreezeHuman Genetics Program, Sanford Children's Health Research Center, La Jolla, CA 92037, USA.ORCID 0000-0001-6316-0501
Christina T LamNorcliffe Foundation Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA 98109, USA.ORCID 0000-0003-4705-6434
Eva MoravaDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0001-7441-700X
Ingo HelbigDepartment of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0001-8486-0558
Marni J FalkMitochondrial Medicine Frontier Program, Division of Human Genetics, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0002-1723-6728
Rebecca D GanetzkyCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0001-6238-8109
Andrew C EdmondsonCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0003-0313-0743
Lan LinCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0002-9905-8928
Yi XingCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0001-9257-7613
Funding
Mitochondrial respiratory chain disease mechanistic and therapeutic modelingR35GM134863 · NIGMS · CHILDREN'S HOSP OF PHILADELPHIA · PI MARNI J FALK · 2020 to 2026
$4.3M
NIGMS NIH HHS R35 GM134863
6 · The paper itself
Abstract
Diagnosing rare genetic diseases remains a major challenge despite widespread clinical testing. Long-read RNA sequencing (RNA-seq) offers a powerful approach to capturing the effects of genetic variants on the transcriptome, yet challenges with sequencing coverage, cost, tissue selection, and scalability have limited its clinical adoption. To address this, we developed STRIPE (Sequencing Targeted RNAs Identifies Pathogenic Events), a targeted long-read RNA-seq-based strategy for rare disease diagnosis and variant interpretation. STRIPE enables deep sequencing of full-length transcripts for any customized disease-specific gene panel such that a wide range of clinically informative readouts, including transcript aberrations and sequence variants, can be detected at haplotype-level resolution. Applying STRIPE to 88 individuals spanning two major rare disease groups, we accurately reidentified known pathogenic variants and revealed their transcript consequences, including many unexpected ones. For 8 of 15 splice site region variants, we observed more complex RNA processing defects beyond single exon skipping or cryptic splice site activation. Notably, we find that donor splice site variants frequently activate cryptic intronic polyadenylation sites, leading to premature transcript termination. Leveraging unique strengths of long-read RNA-seq, STRIPE also resolved variants of uncertain significance and uncovered disease-causing variants in five previously undiagnosed individuals. Overall, STRIPE is a powerful, adaptable, and scalable strategy with broad potential to improve clinical variant interpretation and advance genetic diagnosis of rare diseases.
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.
Targeted long-read RNA sequencing for rare disease diagnosis and variant interpretation. · full record | OpenQuestion