Evidence map›Paper›PMID 41145828›Full record

ArticleEuropean journal of human genetics : EJHG2026

What is risk in clinical genetics? Designing and piloting tools to evaluate risk in clinical genetics using failure modes and effects analysis.

Deborah M Lambert, Helen Stewart, Mari Bandiola, Marta Bertoli, Dearbhla Butterly, Outi Kuismin, Jukka Moilanen, Gillian Rea, Ioana Streata, Anna Griffin and 7 more

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Advances in genomic medicine: from diagnosis to patient perspectives.European journal of human genetics : EJHG · 2026
    Article
  2. When clinical genetics turns the risk lens on itself.European journal of human genetics : EJHG · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Deborah M LambertUniversity College Dublin, Belfield, Dublin, Republic of Ireland. dlambert@rotunda.ie.ORCID 0000-0003-0967-0476
Helen StewartOxford Centre for Genomic Medicine, ACE building, Headington, Oxford, UK.
Mari BandiolaOxford Centre for Genomic Medicine, ACE building, Headington, Oxford, UK.
Marta BertoliNorthern Genetics Service, Central Parkway, Newcastle upon Tyne, UK.ORCID 0000-0002-4183-8622
Dearbhla ButterlyUniversity College Dublin, Belfield, Dublin, Republic of Ireland.
Outi KuisminDepartment of Clinical Genetics and Rare Disease Unit, Research Unit of Clinical Medicine, Medical, Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland.
Jukka MoilanenDepartment of Clinical Genetics and Rare Disease Unit, Research Unit of Clinical Medicine, Medical, Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland.ORCID 0000-0002-8041-3205
Gillian ReaNorthern Ireland Regional Genetics Service, Belfast, Northern Ireland, UK.ORCID 0000-0002-1063-6630
Ioana StreataLaboratory of Human Genomics, University of Medicine and Pharmacy of Craiova, Regional Centre of Medical Genetics Dolj, Emergency Clinical, County Hospital Craiova, Craiova, Romania.
Anna GriffinUniversity of Glasgow, School of Medicine, Dentistry and Nursing, Wolfson, Medical School Building, Ave, Glasgow, Scotland, UK.
Vicky McGrathRare Disease Ireland, Dublin, Republic of Ireland.
Deborah BehanRisk Department, Children's Health Ireland, Dublin, Republic of Ireland.
Natasha CoenState Claims Agency, Treasury Dock, North Wall Quay, Dublin, Republic of Ireland.
Sheila KingState Claims Agency, Treasury Dock, North Wall Quay, Dublin, Republic of Ireland.
Elaine KilroeEnterprise Risk Management, Risk Office of the Chief Strategy Officer, Dr Steevens Hospital, Dublin, Republic of Ireland.
Alana J WardUniversity College Dublin, Belfield, Dublin, Republic of Ireland.
Sally Ann LynchUniversity College Dublin, Belfield, Dublin, Republic of Ireland.ORCID 0000-0003-3540-1333

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Risk exists throughout medicine. Understanding health system pressure points permits implementation of controls for risk reduction. The literature lacks a systematic approach to risk evaluation in Clinical Genetics. We aimed to develop Clinical Genetics-specific risk assessment tools to prospectively monitor risk. A retrospective review of 115 cases with identified adverse events or near misses in Clinical Genetics in Ireland was used to design a process map to define the steps where risk occurs across the patient journey through clinical genetics. We piloted a clinical audit form using the process map to capture risk event frequency. The draft process map and audit form were trialled (2022-2023) in 5 other European clinical genetics centres for validity and usability, and 2 re-audited in 2024 to assess utility. Using narrative summaries from the case review, we modified the national health risk severity scoring for clinical genetics use. The design of the risk process map, risk frequency audit and severity assessment align with Failure Modes and Effect Analysis methodology. Adverse events occurred in >3% of appointments in 4 of 6 centres (range 0.8-20.3%). High frequency failure modes varied by centre and included consent, sample processing, and patient discussion. Re-audit results reflected interventions introduced since initial audit. We propose these tools provide a standardized approach to discussing systematic risk in clinical genetics, and can be used to prospectively monitor adverse events, allowing controls to be put in place, reducing risk, thereby improving quality of service.

Indexed as

Genetics, MedicalGenetic TestingHealthcare Failure Mode and Effect AnalysisHumansPilot ProjectsRetrospective StudiesRisk Assessment

Identifiers

PMID41145828
PMCPMC13047049

What OpenQuestion holds

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LicenceCC BY
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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.