Xie Xiaolei, Yu Jingwei, Qi Zhongxia, Bao Liming, Shen Yiping, Chen Tianjian, Li Peining
Prenatal Diagnosis Center, Qingyuan People's Hospital, the Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan, Guangdong 511500, China.
Zhonghua Yi Xue Yi Chuan Xue Za Zhi. 2021 May 10;38(5):419-424. doi: 10.3760/cma.j.cn511374-20200924-00690.
Chromosome microarray analysis (CMA) has become the first-tier testing for chromosomal abnormalities and copy number variations (CNV). This review described the clinical validation of CMA, the development and updating of technical standards and guidelines and their diagnostic impacts. The main focuses were on the development and updating of expert consensus, practice resources, and a series of technical standards and guidelines through systematic review of case series with CMA application in the literature. Expert consensus and practice resource supported the use of CMA as the first-tier testing for detecting chromosomal abnormalities and CNV in developmental and intellectual disabilities, multiple congenital anomalies and autism. The standards and guidelines have been applied to pre- and postnatal testing for constitutional CNV and tumor testing for acquired CNV. CMA has significantly improved the diagnostic yields but still needs to overcome its technical limitations and face challenges of new technologies. Guiding and governing CMA through expert consensus, practice resource, standards and guidelines in the United States has provided effective and safe diagnostic services to patients and their families, reliable diagnosis on related genetic diseases for clinical database and basic research, and references for clinical translation of new technologies.
染色体微阵列分析(CMA)已成为染色体异常和拷贝数变异(CNV)的一线检测方法。本综述描述了CMA的临床验证、技术标准和指南的制定与更新及其诊断影响。主要重点是通过对文献中应用CMA的病例系列进行系统评价,制定和更新专家共识、实践资源以及一系列技术标准和指南。专家共识和实践资源支持将CMA用作检测发育和智力残疾、多发性先天性畸形及自闭症中染色体异常和CNV的一线检测方法。这些标准和指南已应用于先天性CNV的产前和产后检测以及获得性CNV的肿瘤检测。CMA显著提高了诊断率,但仍需克服其技术局限性并应对新技术带来的挑战。在美国,通过专家共识、实践资源、标准和指南对CMA进行指导和管理,为患者及其家庭提供了有效且安全的诊断服务,为临床数据库和基础研究提供了相关遗传疾病的可靠诊断,并为新技术的临床转化提供了参考。