Evidence map›Paper›PMID 42055801›Full record

ArticleJournal of medical genetics2026

Best practice recommendations for bioinformatics approaches applied to high-throughput sequencing for rare disease and cancer diagnosis within the UK National Health Service.

Jamie M Ellingford, Erik Waskiewicz, Ashley J Pritchard, Javier Lopez, Rebecca Morgan, Emily Ley, Matt Lyon, Alona Sosinsky, Dalia Kasperaviciute, Joo Wook Ahn

Abstract read
In one paragraph

Article in Journal of medical genetics, 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

10 authors.

Jamie M Ellingford *Genomics England Limited, London, UK jamie.ellingford@genomicsengland.co.uk joowook.ahn1@nhs.net.ORCID http://orcid.org/0000-0003-1137-9768
Erik Waskiewicz *All Wales Medical Genomics Service, Cardiff, UK.
Ashley J Pritchard *NHS North Thames Genomic Laboratory Hub, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.ORCID http://orcid.org/0009-0002-0484-3892
Javier LopezGenomics England Limited, London, UK.
Rebecca MorganSouth West Genomic Laboratory Hub, University Hospitals Bristol NHS FoundationTrust, Bristol, UK.
Emily LeyNorth West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Oxford Road, Manchester, UK.ORCID http://orcid.org/0009-0008-8198-2670
Matt LyonCentral and South Genomic Laboratory Hub, Birmingham Women's Hospital, Mindelsohn Way, Birmingham, UK.
Alona SosinskyGenomics England Limited, London, UK.
Dalia KasperaviciuteGenomics England Limited, London, UK.
Joo Wook AhnEast Genomics, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK jamie.ellingford@genomicsengland.co.uk joowook.ahn1@nhs.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEstablishing best practice recommendations helps to increase consistency, equity and innovation in clinical genomics services. Bioinformatics approaches are a core component of clinical genomics services that use high-throughput genomic sequencing applied in the diagnosis of rare disorders and cancer. While a broad range of international recommendations exist for genomic diagnostic testing and genetic variant classification, the current UK-specific best practice recommendations for bioinformatics approaches applied in this context are outdated.

methodsWe assembled a team of bioinformaticians and scientists with diverse expertise in rare disease and cancer genomics applied in clinical diagnostics within the UK National Health Service. Through structured discussion, polls and surveys, we developed an updated set of best practice recommendations for bioinformatics approaches applied to high-throughput genomic sequencing in clinical genomic testing.

resultsWe provide best practice recommendations across the spectrum of activities within a clinical genomics bioinformatics pipeline, including quality control, primary, secondary and tertiary analysis approaches and shared knowledge bases. We also comment on issues related to software development and maintenance. The recommendations can be applied to multiple sequencing technologies and encompass both targeted and whole genome sequencing approaches applied to germline and tumour DNA samples.

conclusionThe best practice recommendations outlined in this study provide a national framework for adoption and innovation of bioinformatics approaches across diverse clinical genomic testing strategies in the UK National Health Service.

Indexed as

Computational BiologyHigh-Throughput Nucleotide SequencingNeoplasmsRare DiseasesGenetic TestingGenomicsHumansPractice Guidelines as TopicSoftwareState MedicineUnited KingdomGenetics, MedicalGenomicsHuman GeneticsSequence Analysis, DNA

Identifiers

PMID42055801
PMCPMC13479684

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LicenceCC BY-NC
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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.