Luo Fang, Li Hao-Min
Department of Pediatrics, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.
Zhongguo Dang Dai Er Ke Za Zhi. 2021 May;23(5):433-437. doi: 10.7499/j.issn.1008-8830.2012143.
Pediatric patients in the neonatal intensive care unit (NICU) and the pediatric intensive care unit (PICU) have a high incidence rate of genetic diseases, and early rapid etiological diagnosis and targeted interventions can help to reduce mortality or improve prognosis. Whole-genome sequencing covers more comprehensive information including point mutation, copy number, and structural and rearrangement variations in the intron region and has become one of the powerful diagnostic tools for genetic diseases. Sequencing data require highly professional judgment and interpretation and are returned for clinical application after several weeks, which cannot meet the need for the diagnosis and treatment of genetic diseases in children. This article introduces the clinical application of rapid whole-genome sequencing in the NICU/PICU and briefly describes related techniques of artificial intelligence-rapid whole-genome sequencing diagnostic system, a rapid high-throughput automated platform for the diagnosis of genetic diseases. The diagnostic system introduces artificial intelligence into the processing of data after whole-genome sequencing and can solve the problems of long time and professional interpretation required for routine genome sequencing and provide a rapid diagnostic regimen for critically ill children suspected of genetic diseases within 24 hours, and therefore, it holds promise for clinical application.
新生儿重症监护病房(NICU)和儿科重症监护病房(PICU)中的儿科患者遗传疾病发病率很高,早期快速病因诊断和针对性干预有助于降低死亡率或改善预后。全基因组测序涵盖更全面的信息,包括点突变、拷贝数以及内含子区域的结构和重排变异,已成为遗传疾病的强大诊断工具之一。测序数据需要高度专业的判断和解读,且在数周后才返回用于临床应用,这无法满足儿童遗传疾病诊断和治疗的需求。本文介绍了快速全基因组测序在NICU/PICU中的临床应用,并简要描述了人工智能-快速全基因组测序诊断系统的相关技术,这是一个用于遗传疾病诊断的快速高通量自动化平台。该诊断系统将人工智能引入全基因组测序后的数据处理中,能够解决常规基因组测序所需时间长和专业解读的问题,并在24小时内为疑似遗传疾病的危重症儿童提供快速诊断方案,因此具有临床应用前景。