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

Authors :
Macken, William L.
Falabella, Micol
McKittrick, Caroline
Pizzamiglio, Chiara
Ellmers, Rebecca
Eggleton, Kelly
Woodward, Cathy E.
Patel, Yogen
Labrum, Robyn
Genomics England Research Consortium
Ambrose, J. C.
Arumugam, P.
Bevers, R.
Bleda, M.
Boardman-Pretty, F.
Boustred, C. R.
Brittain, H.
Brown, M. A.
Caulfield, M. J.
Chan, G. C.
Source :
Nature Communications; 11/8/2022, Vol. 13 Issue 1, p1-9, 9p
Publication Year :
2022

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. Whole genome sequencing is emerging as a first-line test for rare genetic diseases. In this study, authors maximise diagnoses by supplementing existing semiautomated analyses with clinically driven reevaluation of genomic data by a specialist multidisciplinary team. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
13
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
160074922
Full Text :
https://doi.org/10.1038/s41467-022-32908-7