Evidence map›Paper›PMID 42204544›Full record

ArticleBMC medical ethics2026

Automating genomic reanalysis: perspectives of people living with, or impacted by, a genetic, rare or undiagnosed condition.

Fiona Lynch, Emily King, Savio Nona, Zornitza Stark, Danya Vears

Abstract read
In one paragraph

Article in BMC medical ethics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Fiona LynchSchool of Medicine, Deakin University, Geelong, VIC, Australia.
Emily KingMurdoch Children's Research Institute, Parkville, VIC, Australia.
Savio NonaUniversity of Melbourne, Melbourne, VIC, Australia.
Zornitza StarkUniversity of Melbourne, Melbourne, VIC, Australia.
Danya VearsSchool of Medicine, Deakin University, Geelong, VIC, Australia. danya.vears@deakin.edu.au.

Funding

Medical Research Future Fund Genomics Health Futures Mission APP2008820
6 · The paper itself

Abstract

backgroundReanalysis - the process of re-examining a person's existing genomic data based on new knowledge or technology - has the potential to greatly increase diagnostic yield for people living with a genetic, rare or undiagnosed condition. Routine reanalysis has not been widely implemented, largely because of the labour-intensive nature of doing this manually. Yet, the more genomes that undergo sequencing, the greater the likelihood that we are missing opportunities to reanalyse previously undiagnosable cases. Automating reanalysis of genomic data could increase efficiency and accuracy, subsequently providing an opportunity to increase the availability (and frequency) of reanalysis to all people living with an undiagnosed condition. Despite these significant potential benefits, concerns include a lack of transparency and accountability, bias, risk to data security, and the subsequent impact on trust in automated systems. However, the public's perspectives on these ethical issues are yet to be examined.

methodsTwenty-three Australians living with - or caring for a person with - a genetic, rare or undiagnosed condition participated in one of seven 1.5-hour focus groups conducted online. Focus groups explored participants' preferences and values regarding key characteristics of automated reanalysis of genomic data. Focus groups were recorded, transcribed and analysed using inductive content analysis.

resultsDiscussions demonstrated strong support among people living with, or impacted by, a genetic, rare or undiagnosed condition for the automation of genomic reanalysis, emphasising its potential to reduce both practical and psychological burdens associated with manual processes. Participants underscored the need for transparent communication and continued human oversight to build trust in automated systems. However, widespread misunderstandings about reanalysis, concerns around data privacy, and patient preferences for return of results remain significant barriers that must be addressed to ensure ethical and effective implementation.

conclusionsOur findings suggest that people living with, and caring for someone with, a genetic, rare or undiagnosed condition perceive significant potential benefits of automated genomic reanalysis. Participants anticipated that automation could reduce some of the practical demands associated with initiating reanalysis and provide reassurance that their genomic data would continue to be reviewed as scientific knowledge evolves. However, successful implementation will require careful attention to governance frameworks, informed consent processes, transparent data practices, and sustained human oversight to maintain trust and ensure equitable access.

Indexed as

Genetic TestingGenomicsUndiagnosed DiseasesAdultAgedAustraliaAutomationComputer SecurityFemaleFocus GroupsHumansMaleMiddle AgedReturn of Individual Research ResultsSecondary Data AnalysisTrustArtificial intelligenceAustraliaFocus groupsGenomicsPatient perspectiveQualitative

Identifiers

PMID42204544
PMCPMC13436013

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.