Evidence map›Paper›PMID 32552793›Full record

Trial reportGenome biology2020

Analysis of transcript-deleterious variants in Mendelian disorders: implications for RNA-based diagnostics.

Sateesh Maddirevula, Hiroyuki Kuwahara, Nour Ewida, Hanan E Shamseldin, Nisha Patel, Fatema Alzahrani, Tarfa AlSheddi, Eman AlObeid, Mona Alenazi, Hessa S Alsaif and 18 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
12.4field-weighted citation impact, top 1% 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

45 citing papers in PubMed, 97 citations in OpenAlex.

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  16. Impact of genome build on RNA-seq interpretation and diagnostics.medRxiv : the preprint server for health sciences · 2024
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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

28 authors at 5 institutions in 2 countries.

Sateesh MaddirevulaDepartment of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Hiroyuki KuwaharaComputational Bioscience Research Center (CBRC), Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Nour EwidaDepartment of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Hanan E ShamseldinDepartment of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Nisha PatelDepartment of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Fatema AlzahraniDepartment of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Tarfa AlSheddiDepartment of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Eman AlObeidDepartment of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Mona AlenaziDepartment of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Hessa S AlsaifDepartment of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Maha AlqahtaniDepartment of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Maha AlAliDepartment of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Hatoon Al AliDepartment of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Rana HelabyDepartment of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Niema IbrahimDepartment of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Firdous AbdulwahabDepartment of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Mais HashemDepartment of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Nadine HannaDépartement de génétique, AP-HP, Hôpital Bichat, Université de Paris, LVTS INSERM U1148, Paris, France.
Dorota MoniesDepartment of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Nada DerarDeparmtent of Medical Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Afaf AlsagheirDepartment of Pediatrics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Amal AlhashemDepartment of Pediatrics, Prince Sultan Military Medical City, Riyadh, Saudi Arabia.
Badr AlsaleemDivision of Pediatric Gastroenterology, Children's Hospital, King Fahad Medical City, Riyadh, Saudi Arabia.
Hamoud AlhebbiDepartment of Pediatrics, Prince Sultan Military Medical City, Riyadh, Saudi Arabia.
Sami WaliDepartment of Pediatrics, Prince Sultan Military Medical City, Riyadh, Saudi Arabia.
Ramzan UmarovComputational Bioscience Research Center (CBRC), Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Xin GaoComputational Bioscience Research Center (CBRC), Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia. Xin.Gao@kaust.edu.sa.
Fowzan S AlkurayaDepartment of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia. falkuraya@kfshrc.edu.sa.ORCID 0000-0003-4158-341X
King Faisal Specialist Hospital & Research Centre · SARiyadh Armed Forces Hospital · SAKing Abdullah University of Science and Technology · SAInserm · FRKing Fahd Medical City · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAt least 50% of patients with suspected Mendelian disorders remain undiagnosed after whole-exome sequencing (WES), and the extent to which non-coding variants that are not captured by WES contribute to this fraction is unclear. Whole transcriptome sequencing is a promising supplement to WES, although empirical data on the contribution of RNA analysis to the diagnosis of Mendelian diseases on a large scale are scarce.

resultsHere, we describe our experience with transcript-deleterious variants (TDVs) based on a cohort of 5647 families with suspected Mendelian diseases. We first interrogate all families for which the respective Mendelian phenotype could be mapped to a single locus to obtain an unbiased estimate of the contribution of TDVs at 18.9%. We examine the entire cohort and find that TDVs account for 15% of all "solved" cases. We compare the results of RT-PCR to in silico prediction. Definitive results from RT-PCR are obtained from blood-derived RNA for the overwhelming majority of variants (84.1%), and only a small minority (2.6%) fail analysis on all available RNA sources (blood-, skin fibroblast-, and urine renal epithelial cells-derived), which has important implications for the clinical application of RNA-seq. We also show that RNA analysis can establish the diagnosis in 13.5% of 155 patients who had received "negative" clinical WES reports. Finally, our data suggest a role for TDVs in modulating penetrance even in otherwise highly penetrant Mendelian disorders.

conclusionsOur results provide much needed empirical data for the impending implementation of diagnostic RNA-seq in conjunction with genome sequencing.

Indexed as

Sequence Analysis, RNACohort StudiesComputer SimulationExome SequencingGenetic Diseases, InbornGenetic TestingHumansModels, GeneticSaudi ArabiaMappingMendelianNegative WESRNA-based diagnosticsTranscriptomics

Identifiers

PMID32552793
PMCPMC7298854
OpenAlexW3036086107

What OpenQuestion holds

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LicenceCC BY
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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.