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Whole genome sequencing reveals that genetic conditions are frequent in intensively ill children
- Source :
- 2019, ' Whole genome sequencing reveals that genetic conditions are frequent in intensively ill children ', Intensive Care Medicine, vol. 45, no. 5, pp. 627-636 . https://doi.org/10.1007/s00134-019-05552-x, Intensive Care Medicine, French, C E, Delon, I, Dolling, H, Sanchis-Juan, A, Shamardina, O, Mégy, K, Abbs, S, Austin, T, Bowdin, S, Branco, R G, Firth, H, Williamson, C & Rowitch, D H & Raymond, F L & Dixon, P 2019, ' Whole genome sequencing reveals that genetic conditions are frequent in intensively ill children ', Intensive Care Medicine, vol. 45, no. 5, pp. 627-636 . https://doi.org/10.1007/s00134-019-05552-x
- Publication Year :
- 2019
- Publisher :
- Springer, 2019.
-
Abstract
- 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.
- Subjects :
- Male
NICU
medicine.medical_specialty
Palliative care
Adolescent
PICU
Original
Critical Illness
Critically ill children
Genomics
Critical Care and Intensive Care Medicine
Intensive Care Units, Pediatric
State Medicine
Cohort Studies
03 medical and health sciences
Young Adult
0302 clinical medicine
Anesthesiology
Intensive care
Intensive Care Units, Neonatal
Genetics
Medicine
Humans
Prospective Studies
Medical diagnosis
Intensive care medicine
Prospective cohort study
Child
Whole genome sequencing
Whole Genome Sequencing
business.industry
Genetic Diseases, Inborn
Infant, Newborn
Infant
030208 emergency & critical care medicine
030228 respiratory system
England
FOS: Biological sciences
Child, Preschool
Female
business
Genetic Background
Cohort study
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2019, ' Whole genome sequencing reveals that genetic conditions are frequent in intensively ill children ', Intensive Care Medicine, vol. 45, no. 5, pp. 627-636 . https://doi.org/10.1007/s00134-019-05552-x, Intensive Care Medicine, French, C E, Delon, I, Dolling, H, Sanchis-Juan, A, Shamardina, O, Mégy, K, Abbs, S, Austin, T, Bowdin, S, Branco, R G, Firth, H, Williamson, C & Rowitch, D H & Raymond, F L & Dixon, P 2019, ' Whole genome sequencing reveals that genetic conditions are frequent in intensively ill children ', Intensive Care Medicine, vol. 45, no. 5, pp. 627-636 . https://doi.org/10.1007/s00134-019-05552-x
- Accession number :
- edsair.doi.dedup.....1fea855d42d553df60c3de14262258d3