Evidence map›Paper›PMID 29595814›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2018

Whole-exome sequencing reanalysis at 12 months boosts diagnosis and is cost-effective when applied early in Mendelian disorders.

Lisa J Ewans, Deborah Schofield, Rupendra Shrestha, Ying Zhu, Velimir Gayevskiy, Kevin Ying, Corrina Walsh, Eric Lee, Edwin P Kirk, Alison Colley and 13 more

Abstract read
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In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed
13.7field-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

107 citing papers in PubMed, 193 citations in OpenAlex.

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  5. The role of reanalyses in genomic sequencing for fetal effusions.American journal of obstetrics and gynecology · 2026
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  15. Should Scotland provide genome-wide sequencing for the diagnosis of rare developmental disorders? A cost-effectiveness analysis.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Article
  16. Review
  17. Navigating an Uninformative Genomic Test Result: A Practical Guide.Journal of paediatrics and child health · 2025
    Review
  18. Article
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  20. Article

47 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

23 authors at 7 institutions in 1 country.

Lisa J EwansSt Vincent's Clinical School, University of New South Wales, Darlinghurst, New South Wales, Australia. l.ewans@garvan.org.au.
Deborah SchofieldKinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
Rupendra ShresthaFaculty of Pharmacy, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.
Ying ZhuThe Genetics of Learning Disability Service, Waratah, New South Wales, Australia.
Velimir GayevskiyKinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
Kevin YingKinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
Corrina WalshRandwick Genetics, NSW Health Pathology, Prince of Wales Hospital, Randwick, New South Wales, Australia.
Eric LeeRandwick Genetics, NSW Health Pathology, Prince of Wales Hospital, Randwick, New South Wales, Australia.
Edwin P KirkRandwick Genetics, NSW Health Pathology, Prince of Wales Hospital, Randwick, New South Wales, Australia.
Alison ColleyClinical Genetics Department, Liverpool Hospital, Liverpool, New South Wales, Australia.
Carolyn EllawayCentre for Clinical Genetics, Sydney Children's Hospital, Randwick, New South Wales, Australia.
Anne TurnerCentre for Clinical Genetics, Sydney Children's Hospital, Randwick, New South Wales, Australia.
David MowatCentre for Clinical Genetics, Sydney Children's Hospital, Randwick, New South Wales, Australia.
Lisa WorganClinical Genetics Department, Liverpool Hospital, Liverpool, New South Wales, Australia.
Mary-Louise FreckmannCentre for Clinical Genetics, Sydney Children's Hospital, Randwick, New South Wales, Australia.
Michelle LipkeCentre for Clinical Genetics, Sydney Children's Hospital, Randwick, New South Wales, Australia.
Rani SachdevCentre for Clinical Genetics, Sydney Children's Hospital, Randwick, New South Wales, Australia.
David MillerKinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
Michael FieldThe Genetics of Learning Disability Service, Waratah, New South Wales, Australia.
Marcel E DingerSt Vincent's Clinical School, University of New South Wales, Darlinghurst, New South Wales, Australia.
Michael F BuckleyRandwick Genetics, NSW Health Pathology, Prince of Wales Hospital, Randwick, New South Wales, Australia.
Mark J CowleySt Vincent's Clinical School, University of New South Wales, Darlinghurst, New South Wales, Australia.
Tony RoscioliRandwick Genetics, NSW Health Pathology, Prince of Wales Hospital, Randwick, New South Wales, Australia.
Garvan Institute of Medical Research · AUUNSW Sydney · AUPrince of Wales Hospital · AUThe University of Sydney · AUHunter Genetics · AULiverpool Hospital · AUSydney Children's Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWhole-exome sequencing (WES) has revolutionized Mendelian diagnostics, however, there is no consensus on the timing of data review in undiagnosed individuals and only preliminary data on the cost-effectiveness of this technology. We aimed to assess the utility of WES data reanalysis for diagnosis in Mendelian disorders and to analyze the cost-effectiveness of this technology compared with a traditional diagnostic pathway.

methodsWES was applied to a cohort of 54 patients from 37 families with a variety of Mendelian disorders to identify the genetic etiology. Reanalysis was performed after 12 months with an improved WES diagnostic pipeline. A comparison was made between costs of a modeled WES pathway and a traditional diagnostic pathway in a cohort with intellectual disability (ID).

resultsReanalysis of WES data at 12 months improved diagnostic success from 30 to 41% due to interim publication of disease genes, expanded phenotype data from referrer, and an improved bioinformatics pipeline. Cost analysis on the ID cohort showed average cost savings of US$586 (AU$782) for each additional diagnosis.

conclusionEarly application of WES in Mendelian disorders is cost-effective and reanalysis of an undiagnosed individual at a 12-month time point increases total diagnoses by 11%.

Indexed as

Computational BiologyCost-Benefit AnalysisExomeExome SequencingFemaleGenetic Diseases, InbornGenetic TestingHumansIntellectual DisabilityMalePhenotypecost-effectivenessdiagnosisexomegenomicsMendelian

Identifiers

PMID29595814
OpenAlexW2795219520

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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.