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A panel-agnostic strategy ‘HiPPo’ improves diagnostic efficiency in the UK Genome Medicine Service

Genome sequencing is now available as a clinical test on the National Health Service (NHS) through the Genome Medicine Service (GMS). The GMS have set out an analytical strategy that predominantly filters genome data on a pre-selected gene panel(s). Whilst this approach reduces the number of variant...

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Autores principales: Seaby, Eleanor G., Thomas, N. Simon, Hunt, David, Baralle, Diana, Rehm, Heidi L., O’Donnell-Luria, Anne, Ennis, Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915838/
https://www.ncbi.nlm.nih.gov/pubmed/36778464
http://dx.doi.org/10.1101/2023.01.31.23285025
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author Seaby, Eleanor G.
Thomas, N. Simon
Hunt, David
Baralle, Diana
Rehm, Heidi L.
O’Donnell-Luria, Anne
Ennis, Sarah
author_facet Seaby, Eleanor G.
Thomas, N. Simon
Hunt, David
Baralle, Diana
Rehm, Heidi L.
O’Donnell-Luria, Anne
Ennis, Sarah
author_sort Seaby, Eleanor G.
collection PubMed
description Genome sequencing is now available as a clinical test on the National Health Service (NHS) through the Genome Medicine Service (GMS). The GMS have set out an analytical strategy that predominantly filters genome data on a pre-selected gene panel(s). Whilst this approach reduces the number of variants requiring assessment by reporting laboratories, pathogenic variants outside of the gene panel applied may be missed, and candidate variants in novel genes are largely ignored. This study sought to compare a research exome analysis to an independent clinical genome analysis performed through the NHS for the same group of patients. When analysing the exome data, we applied a panel agnostic approach filtering for variants with High Pathogenic Potential (HiPPo) using ClinVar, allele frequency, and in silico prediction tools. We then compared this gene agnostic analysis to the panel-based approach as applied by the GMS to genome data. Later we restricted HiPPo variants to a panel of the Gene Curation Coalition (GenCC) morbid genes and compared the diagnostic yield with the variants filtered using the GMS strategy. 24 patients from 8 families underwent parallel research exome sequencing and GMS genome sequencing. HiPPo analysis applied to research exome data identified a similar number of variants as the gene panel-based approach applied by the GMS. GMS clinical genome analysis identified and returned 2 pathogenic variants and 3 variants of uncertain significance. HiPPo research exome analysis identified the same variants plus an additional pathogenic variant and a further 3 de novo variants of uncertain significance in novel genes, where case series and functional studies are underway. When HiPPo was restricted to GenCC disease genes (strong or definitive), the same pathogenic variants were identified yet statistically fewer variants required assessment to identify more diagnostic variants than reported by the GMS genome strategy. This gave a diagnostic rate per variant assessed of 20% for HiPPo restricted to GenCC versus 3% for the GMS panel-based approach. With plans to sequence 5 million more NHS patients, strategies are needed to optimise the full potential of genome data beyond gene panels whilst minimising the burden of variants that require clinical assessment.
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spelling pubmed-99158382023-02-11 A panel-agnostic strategy ‘HiPPo’ improves diagnostic efficiency in the UK Genome Medicine Service Seaby, Eleanor G. Thomas, N. Simon Hunt, David Baralle, Diana Rehm, Heidi L. O’Donnell-Luria, Anne Ennis, Sarah medRxiv Article Genome sequencing is now available as a clinical test on the National Health Service (NHS) through the Genome Medicine Service (GMS). The GMS have set out an analytical strategy that predominantly filters genome data on a pre-selected gene panel(s). Whilst this approach reduces the number of variants requiring assessment by reporting laboratories, pathogenic variants outside of the gene panel applied may be missed, and candidate variants in novel genes are largely ignored. This study sought to compare a research exome analysis to an independent clinical genome analysis performed through the NHS for the same group of patients. When analysing the exome data, we applied a panel agnostic approach filtering for variants with High Pathogenic Potential (HiPPo) using ClinVar, allele frequency, and in silico prediction tools. We then compared this gene agnostic analysis to the panel-based approach as applied by the GMS to genome data. Later we restricted HiPPo variants to a panel of the Gene Curation Coalition (GenCC) morbid genes and compared the diagnostic yield with the variants filtered using the GMS strategy. 24 patients from 8 families underwent parallel research exome sequencing and GMS genome sequencing. HiPPo analysis applied to research exome data identified a similar number of variants as the gene panel-based approach applied by the GMS. GMS clinical genome analysis identified and returned 2 pathogenic variants and 3 variants of uncertain significance. HiPPo research exome analysis identified the same variants plus an additional pathogenic variant and a further 3 de novo variants of uncertain significance in novel genes, where case series and functional studies are underway. When HiPPo was restricted to GenCC disease genes (strong or definitive), the same pathogenic variants were identified yet statistically fewer variants required assessment to identify more diagnostic variants than reported by the GMS genome strategy. This gave a diagnostic rate per variant assessed of 20% for HiPPo restricted to GenCC versus 3% for the GMS panel-based approach. With plans to sequence 5 million more NHS patients, strategies are needed to optimise the full potential of genome data beyond gene panels whilst minimising the burden of variants that require clinical assessment. Cold Spring Harbor Laboratory 2023-02-01 /pmc/articles/PMC9915838/ /pubmed/36778464 http://dx.doi.org/10.1101/2023.01.31.23285025 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Seaby, Eleanor G.
Thomas, N. Simon
Hunt, David
Baralle, Diana
Rehm, Heidi L.
O’Donnell-Luria, Anne
Ennis, Sarah
A panel-agnostic strategy ‘HiPPo’ improves diagnostic efficiency in the UK Genome Medicine Service
title A panel-agnostic strategy ‘HiPPo’ improves diagnostic efficiency in the UK Genome Medicine Service
title_full A panel-agnostic strategy ‘HiPPo’ improves diagnostic efficiency in the UK Genome Medicine Service
title_fullStr A panel-agnostic strategy ‘HiPPo’ improves diagnostic efficiency in the UK Genome Medicine Service
title_full_unstemmed A panel-agnostic strategy ‘HiPPo’ improves diagnostic efficiency in the UK Genome Medicine Service
title_short A panel-agnostic strategy ‘HiPPo’ improves diagnostic efficiency in the UK Genome Medicine Service
title_sort panel-agnostic strategy ‘hippo’ improves diagnostic efficiency in the uk genome medicine service
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915838/
https://www.ncbi.nlm.nih.gov/pubmed/36778464
http://dx.doi.org/10.1101/2023.01.31.23285025
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