Evidence map›Paper›PMID 38796577›Full record

ArticleEuropean journal of human genetics : EJHG2024

Reanalysis of genomic data in rare disease: current practice and attitudes among Australian clinical and laboratory genetics services.

Stephanie Best, Zoe Fehlberg, Christopher Richards, Michael C J Quinn, Sebastian Lunke, Amanda B Spurdle, Karin S Kassahn, Chirag Patel, Danya F Vears, Ilias Goranitis and 7 more

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  18. Consent for genomic sequencing: a conversation, not just a form.European journal of human genetics : EJHG · 2025
    Article
  19. 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

17 authors.

Stephanie BestAustralian Genomics, Melbourne, VIC, Australia.ORCID 0000-0002-1107-8976
Zoe FehlbergAustralian Genomics, Melbourne, VIC, Australia.ORCID 0000-0002-8449-206X
Christopher RichardsCentre for Population Genomics, Garvan Institute of Medical Research, University of New South Wales Sydney, Sydney, NSW, Australia.
Michael C J QuinnAustralian Genomics, Melbourne, VIC, Australia.
Sebastian LunkeUniversity of Melbourne, Melbourne, VIC, Australia.ORCID 0000-0002-7168-0723
Amanda B SpurdlePopulation Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.ORCID 0000-0003-1337-7897
Karin S KassahnAdelaide Medical School, The University of Adelaide, Adelaide, SA, Australia.ORCID 0000-0002-1662-3355
Chirag PatelGenetic Health Queensland, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia.
Danya F VearsUniversity of Melbourne, Melbourne, VIC, Australia.ORCID 0000-0002-6290-545X
Ilias GoranitisAustralian Genomics, Melbourne, VIC, Australia.ORCID 0000-0001-7946-8324
Fiona LynchUniversity of Melbourne, Melbourne, VIC, Australia.ORCID 0000-0002-6386-6739
Alan RobertsonPopulation Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Emma TudiniAustralian Genomics, Melbourne, VIC, Australia.
John ChristodoulouUniversity of Melbourne, Melbourne, VIC, Australia.ORCID 0000-0002-8431-0641
Hamish ScottDepartment of Genetics and Molecular Pathology, SA Pathology, Adelaide, SA, Australia.ORCID 0000-0002-5813-631X
Julie McGaughranGenetic Health Queensland, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia.ORCID 0000-0002-0926-7858
Zornitza StarkAustralian Genomics, Melbourne, VIC, Australia. zornitza.stark@vcgs.org.au.ORCID 0000-0001-8640-1371

Funding

Department of Health | National Health and Medical Research Council (NHMRC) GNT2000001
6 · The paper itself

Abstract

Reanalyzing stored genomic data over time is highly effective in increasing diagnostic yield in rare disease. Automation holds the promise of delivering the benefits of reanalysis at scale. Our study aimed to understand current reanalysis practices among Australian clinical and laboratory genetics services and explore attitudes towards large-scale automated re-analysis. We collected audit data regarding testing and reanalysis volumes, policies and procedures from all Australian diagnostic laboratories providing rare disease genomic testing. A genetic health professionals' survey explored current practices, barriers to reanalysis, preferences and attitudes towards automation. Between 2018 and 2021, Australian diagnostic laboratories performed over 25,000 new genomic tests and 950 reanalyses, predominantly in response to clinician requests. Laboratory and clinical genetic health professionals (N = 134) identified workforce capacity as the principal barrier to reanalysis. No specific laboratory or clinical guidelines for genomic data reanalysis or policies were identified nationally. Perceptions of acceptability and feasibility of automating reanalysis were positive, with professionals emphasizing clinical and workflow benefits. In conclusion, there is a large and rapidly growing unmet need for reanalysis of existing genomic data. Beyond developing scalable automated reanalysis pipelines, leadership and policy are needed to successfully transform service delivery models and maximize clinical benefit.

Indexed as

Genetic TestingRare DiseasesAttitude of Health PersonnelAustraliaGenomicsHumansLaboratories, Clinical

Identifiers

PMID38796577
PMCPMC11576731

What OpenQuestion holds

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LicenceCC BY
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.