Evidence map›Paper›PMID 41075783›Full record

ArticleAmerican journal of human genetics2025

The utility of ultra-deep RNA sequencing in Mendelian disorder diagnostics.

Sen Zhao, Jefferson C Sinson, Shenglan Li, Jill A Rosenfeld, Gladys Zapata, Kristina Macakova, Mezthly Pena, Becky Maywald, Kim C Worley, Lindsay C Burrage and 11 more

Abstract read
In one paragraph

Article in American journal of human genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

21 authors.

Sen ZhaoDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Medical Genetics and Multiomics Laboratory, Baylor College of Medicine, Houston, TX 77030, USA.
Jefferson C SinsonDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Medical Genetics and Multiomics Laboratory, Baylor College of Medicine, Houston, TX 77030, USA.
Shenglan LiDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Medical Genetics and Multiomics Laboratory, Baylor College of Medicine, Houston, TX 77030, USA.
Jill A RosenfeldDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Gladys ZapataDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Medical Genetics and Multiomics Laboratory, Baylor College of Medicine, Houston, TX 77030, USA.
Kristina MacakovaDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Medical Genetics and Multiomics Laboratory, Baylor College of Medicine, Houston, TX 77030, USA.
Mezthly PenaDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Medical Genetics and Multiomics Laboratory, Baylor College of Medicine, Houston, TX 77030, USA.
Becky MaywaldDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Medical Genetics and Multiomics Laboratory, Baylor College of Medicine, Houston, TX 77030, USA.
Kim C WorleyDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Lindsay C BurrageDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Texas Children's Hospital, Houston, TX 77030, USA.
Monika Weisz-HubshmanDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Texas Children's Hospital, Houston, TX 77030, USA.
Shamika KetkarDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
William CraigenDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Texas Children's Hospital, Houston, TX 77030, USA.
Lisa EmrickDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Texas Children's Hospital, Houston, TX 77030, USA.
Undiagnosed Diseases Network
Tyson ClarkUltima Genomics, Newark, CA 94538, USA.
Gila Yanai LithwickUltima Genomics, Newark, CA 94538, USA.
Zohar ShiponyUltima Genomics, Newark, CA 94538, USA.
Christine EngDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Medical Genetics and Multiomics Laboratory, Baylor College of Medicine, Houston, TX 77030, USA; Baylor Genetics, Houston, TX 77021, USA.
Brendan LeeDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Medical Genetics and Multiomics Laboratory, Baylor College of Medicine, Houston, TX 77030, USA; Texas Children's Hospital, Houston, TX 77030, USA.
Pengfei LiuDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Medical Genetics and Multiomics Laboratory, Baylor College of Medicine, Houston, TX 77030, USA; Baylor Genetics, Houston, TX 77021, USA. Electronic address: pengfeil@bcm.edu.

Funding

Pilot of New Technologies to Increase the Genomic Diagnosis of Undiagnosed Disease Network (UDN) PatientsU01HG007709 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI BACINO, CARLOS A., LEE, BRENDAN · 2014 to 2022
$14.3M
Clinical Sequencing Core Facility for the Undiagnosed Diseases Network (UDN)U01HG007942 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI ENG, CHRISTINE · 2014 to 2021
$10.2M
Urine-Derived Cell RNA Sequencing to Improve Diagnosis in Undiagnosed UDN Participants.U01NS134348 · NINDS · BAYLOR COLLEGE OF MEDICINE · PI Carlos A. Bacino, Brendan Lee · 2023 to 2026
$3.8M
Characterizing disease-causing variants using personal genomes with large recurrent deletionsR35HG011311 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI LIU, PENGFEI · 2021 to 2025
$2.3M
NHGRI NIH HHS R35 HG011311NHGRI NIH HHS U01 HG007709NHGRI NIH HHS U01 HG007942NINDS NIH HHS U01 NS134348
6 · The paper itself

Abstract

RNA sequencing (RNA-seq) has emerged as a powerful tool for resolving variants of uncertain significance (VUSs), particularly those affecting gene expression and splicing. However, most reference datasets and diagnostic protocols employ relatively modest sequencing depths (∼50-150 million reads), which may fail to detect low-abundance transcripts and rare splicing events critical for accurate diagnosis. We evaluated the diagnostic and translational utility of ultra-high-depth (up to ∼1 billion unique reads) RNA-seq in four clinically accessible tissues using the Ultima sequencing platform. After validating the performance of Ultima RNA-seq, we investigated how increasing sequencing depth affects gene and isoform detection, splicing variant discovery, and clinical interpretation of VUSs. Deep RNA-seq substantially improved sensitivity for detecting lowly expressed genes and isoforms, achieving near saturation for detection at 1 billion reads. In two probands with VUSs, pathogenic splicing abnormalities were undetectable at 50 million reads but emerged at 200 million reads, becoming even more pronounced at 1 billion reads. Using deep RNA-seq data, we constructed a resource, MRSD-deep, to estimate the minimum required sequencing depth to achieve desired coverage thresholds. MRSD-deep provided gene- and junction-level guidelines, helping labs select appropriate coverage targets for specific applications. Leveraging deep RNA-seq data on fibroblasts, we also built an expanded splicing-variation reference that successfully identified low-abundance splicing events missed by standard-depth data. Our findings underscore the diagnostic and research benefits of deep RNA-seq for Mendelian disease investigations.

Indexed as

Genetic Diseases, InbornHigh-Throughput Nucleotide SequencingSequence Analysis, RNAHumansRNA Splicingclinically accessible tissuesclinical RNA sequencingdeep sequencingMendelian disordersminimum required sequencing depthsequencing depthsplicing variantsUltima Genomicsultra-deep RNA sequencingvariants of uncertain significance

Identifiers

PMID41075783
PMCPMC12777520

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.