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全基因组测序显示,重症患儿中常见遗传疾病。

Whole genome sequencing reveals that genetic conditions are frequent in intensively ill children.

机构信息

School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0SP, UK.

Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK.

出版信息

Intensive Care Med. 2019 May;45(5):627-636. doi: 10.1007/s00134-019-05552-x. Epub 2019 Mar 7.

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.

摘要

目的

越来越多的证据表明,新生儿期存在罕见的单一基因突变疾病,因此需要在 ICU 中进行快速、系统和全面的基因组诊断,以协助急性和长期的临床决策。本研究旨在确定新生儿(NICU)和儿科(PICU)重症监护人群中的遗传状况。

方法

我们对在英国一个单一地点的 NICU 和 PICU 招募的前瞻性队列的家庭进行了三人体全基因组测序(WGS)分析。我们与英国国家医疗服务体系合作开发了一个研究管道,在招募后 2-3 周内提供经过验证的相关致病性发现。

结果

共有 195 个家庭进行了全基因组分析(567 个样本),其中 21%的儿童被诊断出潜在的遗传疾病。儿童的表型描述在 90%的病例中不能准确预测所识别的基因,这表明在 NICU/PICU 中进行基因不可知的检测是必要的。诊断结果影响了超过 65%的临床管理决策(新生儿中为 83%),包括治疗和护理路径的改变以及/或告知姑息治疗决策。2-3 周的周转时间足以影响大多数临床决策。

结论

在重病儿童中使用 WGS 是可以接受的,三人体分析有助于诊断。采用基因不可知的方法可以有效地识别潜在的遗传状况,表型和症状主要用于数据解释而不是基因选择。WGS 分析有可能成为一部分重病儿童的一线诊断工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/263a/6483967/587c34a4c2f9/134_2019_5552_Fig1_HTML.jpg

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