Author
Listed:
- William L. Macken
(UCL Queen Square Institute of Neurology
The National Hospital for Neurology and Neurosurgery)
- Micol Falabella
(UCL Queen Square Institute of Neurology)
- Caroline McKittrick
(UCL Queen Square Institute of Neurology)
- Chiara Pizzamiglio
(UCL Queen Square Institute of Neurology
The National Hospital for Neurology and Neurosurgery)
- Rebecca Ellmers
(North Thames Genomic Laboratory Hub)
- Kelly Eggleton
(North Thames Genomic Laboratory Hub)
- Cathy E. Woodward
(The National Hospital for Neurology and Neurosurgery
North Thames Genomic Laboratory Hub)
- Yogen Patel
(North Thames Genomic Laboratory Hub)
- Robyn Labrum
(The National Hospital for Neurology and Neurosurgery
North Thames Genomic Laboratory Hub)
- Rahul Phadke
(Great Ormond Street Hospital for Children NHS Foundation Trust)
- Mary M. Reilly
(UCL Queen Square Institute of Neurology)
- Catherine DeVile
(Great Ormond Street Hospital for Children NHS Foundation Trust)
- Anna Sarkozy
(Great Ormond Street Hospital for Children NHS Foundation Trust)
- Emma Footitt
(Great Ormond Street Hospital for Children NHS Foundation Trust)
- James Davison
(Great Ormond Street Hospital for Children NHS Foundation Trust
National Institute for Health and Care Research Great Ormond Street Hospital Biomedical Research Centre)
- Shamima Rahman
(Great Ormond Street Hospital for Children NHS Foundation Trust
UCL Great Ormond Street Institute of Child Health)
- Henry Houlden
(UCL Queen Square Institute of Neurology)
- Enrico Bugiardini
(UCL Queen Square Institute of Neurology
The National Hospital for Neurology and Neurosurgery)
- Rosaline Quinlivan
(UCL Queen Square Institute of Neurology
The National Hospital for Neurology and Neurosurgery
Great Ormond Street Hospital for Children NHS Foundation Trust)
- Michael G. Hanna
(UCL Queen Square Institute of Neurology
The National Hospital for Neurology and Neurosurgery)
- Jana Vandrovcova
(UCL Queen Square Institute of Neurology)
- Robert D. S. Pitceathly
(UCL Queen Square Institute of Neurology
The National Hospital for Neurology and Neurosurgery)
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 .
Suggested Citation
William L. Macken & Micol Falabella & Caroline McKittrick & Chiara Pizzamiglio & Rebecca Ellmers & Kelly Eggleton & Cathy E. Woodward & Yogen Patel & Robyn Labrum & Rahul Phadke & Mary M. Reilly & Cat, 2022.
"Specialist multidisciplinary input maximises rare disease diagnoses from whole genome sequencing,"
Nature Communications, Nature, vol. 13(1), pages 1-9, December.
Handle:
RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-32908-7
DOI: 10.1038/s41467-022-32908-7
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