Evidence map›Paper›PMID 36990084›Full record

ArticleAmerican journal of human genetics2023

Trio RNA sequencing in a cohort of medically complex children.

Ashish R Deshwar, Kyoko E Yuki, Huayun Hou, Yijing Liang, Tayyaba Khan, Alper Celik, Arun Ramani, Roberto Mendoza-Londono, Christian R Marshall, Michael Brudno and 9 more

Open access · hybridAbstract read
In one paragraph

Article in American journal of human genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
9.1field-weighted citation impact, top 2% of its field
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

16 citing papers in PubMed, 29 citations in OpenAlex.

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  6. RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease.Annals of clinical and translational neurology · 2026
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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

19 authors at 7 institutions in 2 countries.

Ashish R DeshwarDivision of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, ON, Canada; Program in Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada.
Kyoko E YukiProgram in Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada.
Huayun HouProgram in Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada.
Yijing LiangCentre for Computational Medicine, The Hospital for Sick Children, Toronto, ON, Canada.
Tayyaba KhanProgram in Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada.
Alper CelikCentre for Computational Medicine, The Hospital for Sick Children, Toronto, ON, Canada.
Arun RamaniCentre for Computational Medicine, The Hospital for Sick Children, Toronto, ON, Canada.
Roberto Mendoza-LondonoDivision of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, ON, Canada; Department of Paediatrics, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Christian R MarshallDivision of Genome Diagnostics, The Hospital for Sick Children, Toronto, ON, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
Michael BrudnoTechna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, Canada.
Adam ShlienProgram in Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
M Stephen MeynCenter for Human Genomics and Precision Medicine, University of Wisconsin, Madison, WI, USA; Department of Pediatrics, University of Wisconsin, Madison, WI, USA.
Robin Z HayeemsChild Health Evaluative Sciences, SickKids Research Institute, Toronto, ON, Canada.
Brandon J McKinlayDepartment of Kinesiology, Faculty of Applied Health Sciences, Brock University, St. Catharines, ON, Canada.
Panagiota KlentrouDepartment of Kinesiology, Faculty of Applied Health Sciences, Brock University, St. Catharines, ON, Canada.
Michael D WilsonProgram in Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
Lianna KyriakopoulouDivision of Genome Diagnostics, The Hospital for Sick Children, Toronto, ON, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
Gregory CostainDivision of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, ON, Canada; Program in Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada; Department of Paediatrics, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada. Electronic address: gregory.costain@sickkids.ca.
James J DowlingProgram in Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada; Division of Neurology, The Hospital for Sick Children, Toronto, ON, Canada; Department of Paediatrics, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada. Electronic address: james.dowling@sickkids.ca.
University of Toronto · CAHospital for Sick Children · CASickKids Foundation · CABrock University · CAInstitute for Clinical Evaluative Sciences · CAUniversity Health Network · CAUniversity of Wisconsin System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome sequencing (GS) is a powerful test for the diagnosis of rare genetic disorders. Although GS can enumerate most non-coding variation, determining which non-coding variants are disease-causing is challenging. RNA sequencing (RNA-seq) has emerged as an important tool to help address this issue, but its diagnostic utility remains understudied, and the added value of a trio design is unknown. We performed GS plus RNA-seq from blood using an automated clinical-grade high-throughput platform on 97 individuals from 39 families where the proband was a child with unexplained medical complexity. RNA-seq was an effective adjunct test when paired with GS. It enabled clarification of putative splice variants in three families, but it did not reveal variants not already identified by GS analysis. Trio RNA-seq decreased the number of candidates requiring manual review when filtering for de novo dominant disease-causing variants, allowing for the exclusion of 16% of gene-expression outliers and 27% of allele-specific-expression outliers. However, clear diagnostic benefit from the trio design was not observed. Blood-based RNA-seq can facilitate genome analysis in children with suspected undiagnosed genetic disease. In contrast to DNA sequencing, the clinical advantages of a trio RNA-seq design may be more limited.

Indexed as

FamilyRare DiseasesBase SequenceChildExome SequencingHumansSequence Analysis, DNASequence Analysis, RNA

Identifiers

PMID36990084
PMCPMC10183368
OpenAlexW4361221362

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.