Evidence map›Paper›PMID 42806038›Full record

ArticleEuropean journal of human genetics : EJHG2026

Reanalysis of genomic data doubles the diagnostic yield for Welsh patients recruited to the UK 100,000 Genomes Project.

Jana Jezkova, Martin A McClatchey, Sophie Shaw, Rhys Vaughan, Joseph Halstead, Iris Egner, Sharon D Whatley, Arveen Kamath, Oliver Murch, Vinod Varghese and 23 more

Abstract read
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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. 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

33 authors.

Jana Jezkova *All Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff, UK.ORCID http://orcid.org/0000-0002-5488-1697
Martin A McClatchey *Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, UK.
Sophie ShawAll Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff, UK.ORCID http://orcid.org/0000-0003-2367-2670
Rhys VaughanDivision of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, UK.
Joseph HalsteadAll Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff, UK.
Iris EgnerDivision of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, UK.
Sharon D WhatleyAll Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff, UK.
Arveen KamathAll Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff, UK.
Oliver MurchAll Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff, UK.ORCID http://orcid.org/0000-0003-1298-5647
Vinod VargheseAll Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff, UK.
Rachel IrvingAll Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff, UK.
Jennifer F GardnerAll Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff, UK.
Ayesha AhmedAll Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff, UK.
Ian TullyAll Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff, UK.
Vani JainAll Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff, UK.ORCID http://orcid.org/0000-0002-8516-8261
Mark T RogersAll Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff, UK.
Francis H SansburyAll Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff, UK.ORCID http://orcid.org/0000-0002-5048-3309
Angus J ClarkeAll Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff, UK.ORCID http://orcid.org/0000-0002-1200-9286
Caroline PottingerAll Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff, UK.
Maribel Verdesoto RodriguezAll Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff, UK.
Johann Te Water NaudéDepartment of Paediatric Neurology, University Hospital of Wales, Cardiff, UK.ORCID http://orcid.org/0000-0002-9339-3901
Aimee BettridgeDivision of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, UK.
Alexandra C Martin-GearyBig Data Institute, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-5818-1962
Nils WagnerSchool of Computation, Information and Technology, Technical University of Munich, Garching, Germany.
Julien GagneurSchool of Computation, Information and Technology, Technical University of Munich, Garching, Germany.
Marcela VotrubaSchool of Optometry and Vision Sciences, Cardiff University, Cardiff, UK.ORCID http://orcid.org/0000-0002-7680-9135
David J BunyanWessex Genomics Laboratory Service (Salisbury), Salisbury District Hospital, Salisbury, UK.ORCID http://orcid.org/0000-0001-8686-558X
Kevin AshelfordDivision of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, UK.
Peter GilesDivision of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, UK.ORCID http://orcid.org/0000-0003-3143-6854
Hywel J WilliamsDivision of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, UK.ORCID http://orcid.org/0000-0001-7758-0312
Sian MorganAll Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff, UK.ORCID http://orcid.org/0000-0002-4943-653X
Julian R SampsonAll Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff, UK.
Andrew E FryAll Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff, UK. fryae@cardiff.ac.uk.ORCID http://orcid.org/0000-0001-9778-6924

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) #441914366Deutsche Forschungsgemeinschaft (German Research Foundation) #461264291RCUK | Medical Research Council (MRC) MC_PC_16035
6 · The paper itself

Abstract

The 100,000 Genomes Project (100KGP) undertook genome sequencing of patients with rare diseases and cancer to study the role that genes play in disease, and to integrate genomics into UK healthcare. To contribute to 100KGP, the Wales Genomic Medicine Centre (a partnership between the NHS All Wales Medical Genomics Service (AWMGS), Cardiff University and Genomics England) recruited 438 individuals from 154 families that had been subject to pre-genomic genetic testing without reaching a diagnosis. The majority of probands (64%, 98/154) had neurological or neurodevelopmental phenotypes. Genome sequencing, variant calling, gene-based filtering and variant prioritisation were performed by Genomics England. AWMGS undertook clinical interpretation, validation and reporting of variants. Initial diagnostic yield was 20.8% (32/154) with variants of uncertain significance (VUS) reported for 11 more families. Most of the initial findings (83.7%, 36/43) could have been detected by clinical exome sequencing which was standard of care in Wales at the time. Reanalysis of the 100KGP Wales data using updated variant prioritisation tools, expanded gene lists, re-phenotyping and segregation studies, has increased diagnostic yield to 42.2% (65/154) (an improvement of 103%). RNA analysis was used to clarify the clinical significance of VUS in COQ4, ENPP1, GATAD2B, NCAPD2, and THOC2. These findings demonstrate the clinical utility of genome sequencing, RNA analysis, and periodic reanalysis of genomic data.

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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.