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Whole genome sequencing reveals that genetic conditions are frequent in intensively ill children
PURPOSE: With growing evidence that rare single gene disorders present in the neonatal period, there is a need for rapid, systematic, and comprehensive genomic diagnoses in ICUs to assist acute and long-term clinical decisions. This study aimed to identify genetic conditions in neonatal (NICU) and p...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6483967/ https://www.ncbi.nlm.nih.gov/pubmed/30847515 http://dx.doi.org/10.1007/s00134-019-05552-x |
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author | French, Courtney E. Delon, Isabelle Dolling, Helen Sanchis-Juan, Alba Shamardina, Olga Mégy, Karyn Abbs, Stephen Austin, Topun Bowdin, Sarah Branco, Ricardo G. Firth, Helen Rowitch, David H. Raymond, F. Lucy |
author_facet | French, Courtney E. Delon, Isabelle Dolling, Helen Sanchis-Juan, Alba Shamardina, Olga Mégy, Karyn Abbs, Stephen Austin, Topun Bowdin, Sarah Branco, Ricardo G. Firth, Helen Rowitch, David H. Raymond, F. Lucy |
author_sort | French, Courtney E. |
collection | PubMed |
description | PURPOSE: With growing evidence that rare single gene disorders present in the neonatal period, there is a need for rapid, systematic, and comprehensive genomic diagnoses in ICUs to assist acute and long-term clinical decisions. This study aimed to identify genetic conditions in neonatal (NICU) and paediatric (PICU) intensive care populations. METHODS: We performed trio whole genome sequence (WGS) analysis on a prospective cohort of families recruited in NICU and PICU at a single site in the UK. We developed a research pipeline in collaboration with the National Health Service to deliver validated pertinent pathogenic findings within 2–3 weeks of recruitment. RESULTS: A total of 195 families had whole genome analysis performed (567 samples) and 21% received a molecular diagnosis for the underlying genetic condition in the child. The phenotypic description of the child was a poor predictor of the gene identified in 90% of cases, arguing for gene agnostic testing in NICU/PICU. The diagnosis affected clinical management in more than 65% of cases (83% in neonates) including modification of treatments and care pathways and/or informing palliative care decisions. A 2–3 week turnaround was sufficient to impact most clinical decision-making. CONCLUSIONS: The use of WGS in intensively ill children is acceptable and trio analysis facilitates diagnoses. A gene agnostic approach was effective in identifying an underlying genetic condition, with phenotypes and symptomatology being primarily used for data interpretation rather than gene selection. WGS analysis has the potential to be a first-line diagnostic tool for a subset of intensively ill children. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00134-019-05552-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6483967 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-64839672019-05-15 Whole genome sequencing reveals that genetic conditions are frequent in intensively ill children French, Courtney E. Delon, Isabelle Dolling, Helen Sanchis-Juan, Alba Shamardina, Olga Mégy, Karyn Abbs, Stephen Austin, Topun Bowdin, Sarah Branco, Ricardo G. Firth, Helen Rowitch, David H. Raymond, F. Lucy Intensive Care Med Original PURPOSE: With growing evidence that rare single gene disorders present in the neonatal period, there is a need for rapid, systematic, and comprehensive genomic diagnoses in ICUs to assist acute and long-term clinical decisions. This study aimed to identify genetic conditions in neonatal (NICU) and paediatric (PICU) intensive care populations. METHODS: We performed trio whole genome sequence (WGS) analysis on a prospective cohort of families recruited in NICU and PICU at a single site in the UK. We developed a research pipeline in collaboration with the National Health Service to deliver validated pertinent pathogenic findings within 2–3 weeks of recruitment. RESULTS: A total of 195 families had whole genome analysis performed (567 samples) and 21% received a molecular diagnosis for the underlying genetic condition in the child. The phenotypic description of the child was a poor predictor of the gene identified in 90% of cases, arguing for gene agnostic testing in NICU/PICU. The diagnosis affected clinical management in more than 65% of cases (83% in neonates) including modification of treatments and care pathways and/or informing palliative care decisions. A 2–3 week turnaround was sufficient to impact most clinical decision-making. CONCLUSIONS: The use of WGS in intensively ill children is acceptable and trio analysis facilitates diagnoses. A gene agnostic approach was effective in identifying an underlying genetic condition, with phenotypes and symptomatology being primarily used for data interpretation rather than gene selection. WGS analysis has the potential to be a first-line diagnostic tool for a subset of intensively ill children. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00134-019-05552-x) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2019-03-07 2019 /pmc/articles/PMC6483967/ /pubmed/30847515 http://dx.doi.org/10.1007/s00134-019-05552-x Text en © The Author(s) 2019 OpenAccessThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original French, Courtney E. Delon, Isabelle Dolling, Helen Sanchis-Juan, Alba Shamardina, Olga Mégy, Karyn Abbs, Stephen Austin, Topun Bowdin, Sarah Branco, Ricardo G. Firth, Helen Rowitch, David H. Raymond, F. Lucy Whole genome sequencing reveals that genetic conditions are frequent in intensively ill children |
title | Whole genome sequencing reveals that genetic conditions are frequent in intensively ill children |
title_full | Whole genome sequencing reveals that genetic conditions are frequent in intensively ill children |
title_fullStr | Whole genome sequencing reveals that genetic conditions are frequent in intensively ill children |
title_full_unstemmed | Whole genome sequencing reveals that genetic conditions are frequent in intensively ill children |
title_short | Whole genome sequencing reveals that genetic conditions are frequent in intensively ill children |
title_sort | whole genome sequencing reveals that genetic conditions are frequent in intensively ill children |
topic | Original |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6483967/ https://www.ncbi.nlm.nih.gov/pubmed/30847515 http://dx.doi.org/10.1007/s00134-019-05552-x |
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