Copy number variant analysis for syndromic congenital heart disease in the Chinese population

被引:4
作者
Li, Ping [1 ]
Chen, Weicheng [1 ,2 ]
Li, Mengru [1 ]
Zhao, Zhengshan [1 ]
Feng, Zhiyu [1 ]
Gao, Han [1 ]
Suo, Meijiao [1 ]
Xu, Ziqing [1 ]
Tian, Guixiang [1 ]
Wu, Feizhen [1 ,2 ,3 ]
Wei, Sheng [1 ,2 ]
Huang, Guoying [1 ,2 ]
机构
[1] Fudan Univ, Pediat Heart Ctr, Childrens Hosp, 399 Wanyuan Rd, Shanghai 201102, Peoples R China
[2] Shanghai Key Lab Birth Defects, Shanghai 201102, Peoples R China
[3] Fudan Univ, Inst Biomed Sci, Lab Epigenet, Shanghai 200032, Peoples R China
基金
中国国家自然科学基金;
关键词
Copy number variant; Syndromic congenital heart disease; Chromosomal microarray analysis; Candidate gene; COMPARATIVE GENOMIC HYBRIDIZATION; CHROMOSOMAL-ABNORMALITIES; DELETION SYNDROME; MEDICAL GENETICS; AMERICAN-COLLEGE; DIAGNOSTIC-TOOL; IMBALANCES; MICROARRAY; PHENOTYPE; STANDARDS;
D O I
10.1186/s40246-022-00426-8
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background Syndromic congenital heart disease (CHD) is among the most severe conditions in the pediatric population. Copy number variant (CNV) is an important cause of syndromic CHD, but few studies focused on CNVs related to these patients in China. The present study aimed to identify pathogenic CNVs associated with syndromic CHD in the Chinese population. Methods A total of 109 sporadic patients with syndromic CHD were applied chromosomal microarray analysis (CMA). Phenotype spectrum of pathogenic or likely pathogenic CNVs was analyzed. CHD-related genes were prioritized from genes within pathogenic or likely pathogenic CNVs by VarElect, OVA, AMELIE, and ToppGene. Results Using CMA, we identified 43 candidate CNVs in 37/109 patients. After filtering CNVs present in the general population, 29 pathogenic/likely pathogenic CNVs in 24 patients were identified. The diagnostic yield of CMA for pathogenic/likely pathogenic CNVs was 23.1% (24/104), excluding 5 cases with aneuploidies or gross chromosomal aberrations. The overlapping analysis of CHD-related gene lists from different prioritization tools highlighted 16 CHD candidate genes. Conclusion As the first study focused on CNVs in syndromic CHD from the Chinese population, this study reveals the importance of CMA in exploring the genetic etiology of syndromic CHD and expands our understanding of these complex diseases. The bioinformatic analysis of candidate genes suggests several CHD-related genes for further functional research.
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页数:22
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