指南
医学遗传学
拷贝数变化
基因组学
一致性(知识库)
资源(消歧)
遗传咨询
基因组
计算机科学
医学
遗传学
生物
人工智能
病理
基因
计算机网络
作者
Xiaoli Chen,Shaofang Shangguan,Hua Xie,Haoran Liu,Weiqiang Liu,Yu An,Yiping Shen
出处
期刊:PubMed
日期:2022-01-10
卷期号:39 (1): 1-10
标识
DOI:10.3760/cma.j.cn511374-20200220-00143
摘要
Copy number variants (CNVs) are common causes of human genetic diseases. CNVs detection has become a routine component of genetic testing, especially for pediatric neurodevelopmental disorders, multiple congenital abnormalities, prenatal evaluation of fetuses with structural anomalies detected by ultrasound. Although the technologies for CNVs detection are continuously improving, the interpretation is still challenging, with significant discordance across different laboratories. In 2020, the American College of Medical Genetics and Genomics (ACMG) and the Clinical Genome Resource (ClinGen) developed a guideline for the interpreting and reporting of constitutional copy number variants, which introduced a quantitative, evidence-based scoring framework. Here, we detailed the key points of interpreting the copy number gain based on the guideline, used six examples of different categories to illuminate the scoring process and principles. We encourage a professional understanding and application of this guideline for the detected copy number gains in China in order to further improve the clinical evaluation accuracy and consistency across different laboratories.
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