Evidence map›Paper›PMID 29453417›Full record

ArticleEuropean journal of human genetics : EJHG2018

Exome sequencing has higher diagnostic yield compared to simulated disease-specific panels in children with suspected monogenic disorders.

Oliver James Dillon, Sebastian Lunke, Zornitza Stark, Alison Yeung, Natalie Thorne, Melbourne Genomics Health Alliance, Clara Gaff, Susan M White, Tiong Yang Tan

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing 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

77 citing papers in PubMed.

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  6. BiallelicFrontiers in genetics · 2026
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17 more citing papers are in PubMed but not listed here.

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

9 authors.

Oliver James DillonVictorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Australia.
Sebastian LunkeVictorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Australia.ORCID http://orcid.org/0000-0002-7168-0723
Zornitza StarkVictorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Australia.
Alison YeungVictorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Australia.
Natalie ThorneMelbourne Genomics Health Alliance, Melbourne, Australia.
Melbourne Genomics Health Alliance
Clara GaffDepartment of Paediatrics, University of Melbourne, Melbourne, Australia.
Susan M WhiteVictorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Australia. sue.white@vcgs.org.au.ORCID http://orcid.org/0000-0001-7611-634X
Tiong Yang TanVictorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Australia. tiong.tan@vcgs.org.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As test costs decline, whole-exome sequencing (WES) has become increasingly used for clinical diagnosis, and now represents the primary alternative to gene panel testing for patients with a suspected genetic disorder. We sought to compare the diagnostic yield of singleton-WES with simulated application of commercial gene panels in children suspected of having a genetically heterogeneous condition. Recruitment, singleton-WES and phenotype-driven variant analysis was completed for 145 paediatric patients. At recruitment, clinicians were required to propose commercial gene panel tests as an alternative to WES and nominate a phenotype-driven candidate gene list. In WES-diagnosed children, three commercial options for each proposed panel were identified and evaluated for hypothetical diagnostic yield assuming 100% analytical sensitivity and specificity. We compared the price of WES with the least costly panel in WES-diagnosed children. In WES-undiagnosed children, we evaluated the exonic coverage of their phenotype-driven gene list using aggregate data. WES diagnoses were made in genes not included in at least one-of-three commercial panels in 42% of cases. Had a panel been selected instead, 23% of WES-diagnosed children would not have been diagnosed. In 26% of cases, the least costly panel option would have been more expensive than WES. Evaluation of WES coverage found that at the most stringent level of 20× coverage, the likelihood of missing a clinically relevant variant in a candidate gene list was maximally 8%. The broader coverage of WES makes it a superior alternative to gene panel testing at similar financial cost for children with suspected complex monogenic phenotypes.

Indexed as

Genetic TestingAdolescentChildChild, PreschoolExomeExome SequencingFemaleGenetic Diseases, InbornHumansMaleMutationPhenotypeSequence Analysis, DNA

Identifiers

PMID29453417
PMCPMC5945679

What OpenQuestion holds

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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.