Evidence map›Paper›PMID 31320747›Full record

ArticleEuropean journal of human genetics : EJHG2019

A head-to-head evaluation of the diagnostic efficacy and costs of trio versus singleton exome sequencing analysis.

Tiong Yang Tan, Sebastian Lunke, Belinda Chong, Dean Phelan, Miriam Fanjul-Fernandez, Justine E Marum, Vanessa Siva Kumar, Zornitza Stark, Alison Yeung, Natasha J Brown and 8 more

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
–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

43 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

18 authors.

Tiong Yang TanVictorian Clinical Genetics Services, Melbourne, Australia. tiong.tan@vcgs.org.au.ORCID http://orcid.org/0000-0001-8455-7778
Sebastian LunkeVictorian Clinical Genetics Services, Melbourne, Australia.ORCID http://orcid.org/0000-0002-7168-0723
Belinda ChongVictorian Clinical Genetics Services, Melbourne, Australia.
Dean PhelanVictorian Clinical Genetics Services, Melbourne, Australia.
Miriam Fanjul-FernandezVictorian Clinical Genetics Services, Melbourne, Australia.
Justine E MarumVictorian Clinical Genetics Services, Melbourne, Australia.
Vanessa Siva KumarVictorian Clinical Genetics Services, Melbourne, Australia.
Zornitza StarkVictorian Clinical Genetics Services, Melbourne, Australia.
Alison YeungVictorian Clinical Genetics Services, Melbourne, Australia.
Natasha J BrownVictorian Clinical Genetics Services, Melbourne, Australia.
Chloe StutterdVictorian Clinical Genetics Services, Melbourne, Australia.
Martin B DelatyckiVictorian Clinical Genetics Services, Melbourne, Australia.
Simon SadedinVictorian Clinical Genetics Services, Melbourne, Australia.
Melissa MartynMurdoch Children's Research Institute, Melbourne, Australia.
Ilias GoranitisMurdoch Children's Research Institute, Melbourne, Australia.
Natalie ThorneMurdoch Children's Research Institute, Melbourne, Australia.
Clara L GaffMurdoch Children's Research Institute, Melbourne, Australia.
Susan M WhiteVictorian Clinical Genetics Services, Melbourne, Australia. sue.white@vcgs.org.au.ORCID http://orcid.org/0000-0001-7611-634X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnostic exome sequencing (ES) can be performed on the proband only (singleton; sES) or with additional samples, often including both biological parents with the proband (trio; tES). In this study we sought to compare the efficiencies of exome sequencing (ES) by trio (tES) versus singleton (sES) approach, determine costs, and identify factors to consider when deciding on optimal implementation strategies for the diagnosis of monogenic disorders. We undertook ES in 30 trios and analysed each proband's sES and tES data in parallel. Two teams were randomly allocated to either sES or tES analysis for each case and blinded to each other's work. Each task was timed and cost analyses were based on time taken and diagnostic yield. We modelled three scenarios to determine the factors to consider in the implementation of tES. sES diagnosed 11/30 (36.7%) cases and tES identified one additional diagnosis (12/30 (40.0%)). tES obviated the need for Sanger segregation, reduced the number of variants for curation, and had lower cost-per-diagnosis when considering analysis alone. When sequencing costs were included, tES nearly doubled the cost of sES. Reflexing to tES in those who remain undiagnosed after sES was cost-saving over tES in all as first-line. This approach requires a large differential in diagnostic yield between sES and tES for maximal benefit given current sequencing costs. tES may be preferable when scaling up laboratory throughput due to efficiency gains and opportunity cost considerations. Our findings are relevant to clinicians, laboratories and health services considering tES over sES.

Indexed as

AdolescentAdultChildChild, PreschoolCost-Benefit AnalysisExomeExome SequencingFemaleGenetic Diseases, InbornGenetic TestingHumansInfantMaleParentsSequence Analysis, DNAYoung Adult

Identifiers

PMID31320747
PMCPMC6871178

What OpenQuestion holds

Textmetadata
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.