Evidence map›Paper›PMID 36344503›Full record

ArticleNature communications2022

Specialist multidisciplinary input maximises rare disease diagnoses from whole genome sequencing.

William L Macken, Micol Falabella, Caroline McKittrick, Chiara Pizzamiglio, Rebecca Ellmers, Kelly Eggleton, Cathy E Woodward, Yogen Patel, Robyn Labrum, Genomics England Research Consortium and 13 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
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

23 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Mainstreaming genomic testing for mitochondrial disease in Australia.European journal of human genetics : EJHG · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Identification of Intronic Variants inNeurology. Genetics · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Alström syndrome: the journey to diagnosis.Orphanet journal of rare diseases · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Review
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

23 authors at 7 institutions in 1 country.

William L Macken *Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK.ORCID 0000-0003-0612-5819
Micol Falabella *Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK.ORCID 0000-0002-1020-1848
Caroline McKittrickDepartment of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK.
Chiara PizzamiglioDepartment of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK.ORCID 0000-0001-5519-0313
Rebecca EllmersNeurogenetics Unit, Rare and Inherited Disease Laboratory, North Thames Genomic Laboratory Hub, London, UK.
Kelly EggletonNeurogenetics Unit, Rare and Inherited Disease Laboratory, North Thames Genomic Laboratory Hub, London, UK.
Cathy E WoodwardNHS Highly Specialised Service for Rare Mitochondrial Disorders, Queen Square Centre for Neuromuscular Diseases, The National Hospital for Neurology and Neurosurgery, London, UK.
Yogen PatelNeurogenetics Unit, Rare and Inherited Disease Laboratory, North Thames Genomic Laboratory Hub, London, UK.
Robyn LabrumNHS Highly Specialised Service for Rare Mitochondrial Disorders, Queen Square Centre for Neuromuscular Diseases, The National Hospital for Neurology and Neurosurgery, London, UK.
Genomics England Research Consortium
Rahul PhadkeDubowitz Neuromuscular Centre, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Mary M ReillyDepartment of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK.
Catherine DeVileDepartment of Neurosciences, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Anna SarkozyDubowitz Neuromuscular Centre, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Emma FootittMetabolic Unit, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
James DavisonMetabolic Unit, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Shamima RahmanMetabolic Unit, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.ORCID 0000-0003-2088-730X
Henry HouldenDepartment of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK.ORCID 0000-0002-2866-7777
Enrico BugiardiniDepartment of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK.
Rosaline QuinlivanDepartment of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK.
Michael G HannaDepartment of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK.
Jana VandrovcovaDepartment of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK. j.vandrovcova@ucl.ac.uk.
Robert D S PitceathlyDepartment of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK. r.pitceathly@ucl.ac.uk.ORCID 0000-0002-6123-4551
Genomics England · GBQueen Mary University of London · GBNational Hospital for Neurology and Neurosurgery · GBGreat Ormond Street Hospital for Children NHS Foundation Trust · GBGreat Ormond Street Hospital · GBMRC Prion Unit · GBUK Dementia Research Institute · GB

Funding

Medical Research Council MC_EX_MR/M009203/1Medical Research Council MC_PC_14089Medical Research Council MC_PC_21046Medical Research Council MR/M009203/1Medical Research Council MR/S002065/1Medical Research Council MR/S005021/1Wellcome Trust
6 · The paper itself

Abstract

Diagnostic whole genome sequencing (WGS) is increasingly used in rare diseases. However, standard, semi-automated WGS analysis may overlook diagnoses in complex disorders. Here, we show that specialist multidisciplinary analysis of WGS, following an initial 'no primary findings' (NPF) report, improves diagnostic rates and alters management. We undertook WGS in 102 adults with diagnostically challenging primary mitochondrial disease phenotypes. NPF cases were reviewed by a genomic medicine team, thus enabling bespoke informatic approaches, co-ordinated phenotypic validation, and functional work. We enhanced the diagnostic rate from 16.7% to 31.4%, with management implications for all new diagnoses, and detected strong candidate disease-causing variants in a further 3.9% of patients. This approach presents a standardised model of care that supports mainstream clinicians and enhances diagnostic equity for complex disorders, thereby facilitating access to the potential benefits of genomic healthcare. This research was made possible through access to the data and findings generated by the 100,000 Genomes Project: http://www.genomicsengland.co.uk .

Indexed as

GenomeRare DiseasesHumansPhenotypeWhole Genome Sequencing

Identifiers

PMID36344503
PMCPMC9640711
OpenAlexW4308440713

What OpenQuestion holds

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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.