拷贝数变化
基因分型
遗传学
生物
病因学
候选基因
微阵列
基因
微阵列分析技术
医学
生物信息学
基因型
内科学
基因组
基因表达
作者
Nicole Saacks,James Eales,Timothy F. Spracklen,Thomas Aldersley,Paul Human,Mark Verryn,John Lawrenson,Blanche Cupido,George Comitis,Rik De Decker,Barend Fourie,Lenise Swanson,Alexia Joachim,Andre Brooks,Raj Ramesar,Gasnat Shaboodien,Bernard Keavney,Liesl Zühlke
出处
期刊:Circulation
[Ovid Technologies (Wolters Kluwer)]
日期:2022-10-07
卷期号:15 (6): e003510-e003510
被引量:8
标识
DOI:10.1161/circgen.121.003510
摘要
Background: Congenital heart disease (CHD) is a leading non-infectious cause of pediatric morbidity and mortality worldwide. Although the etiology of CHD is poorly understood, genetic factors including copy number variants (CNVs) contribute to the risk of CHD in individuals of European ancestry. The presence of rare CNVs in African CHD populations is unknown. This study aimed to identify pathogenic and likely pathogenic CNVs in South African patients with CHD. Methods: Genotyping was performed on 90 patients with nonsyndromic CHD using the Affymetrix CytoScan HD platform. These data were used to identify large, rare CNVs in known CHD-associated genes and candidate genes. Results: We identified eight CNVs overlapping known CHD-associated genes ( GATA4 , CRKL , TBX1 , FLT4 , B3GAT3 , NSD1 ) in six patients. The analysis also revealed CNVs encompassing five candidate genes likely to play a role in the development of CHD ( DGCR8 , KDM2A , JARID2 , FSTL1 , CYFIP1 ) in five patients. One patient was found to have 47, XXY karyotype. We report a total discovery yield of 6.7%, with 5.6% of the cohort carrying pathogenic or likely pathogenic CNVs expected to cause the observed phenotypes. Conclusions: In this study, we show that chromosomal microarray is an effective technique for identifying CNVs in African patients diagnosed with CHD and have demonstrated results similar to previous CHD genetic studies in Europeans. Novel potential CHD genes were also identified, indicating the value of genetic studies of CHD in ancestrally diverse populations.
科研通智能强力驱动
Strongly Powered by AbleSci AI