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

Author:

Li Ping,Chen Weicheng,Li Mengru,Zhao Zhengshan,Feng Zhiyu,Gao Han,Suo Meijiao,Xu Ziqing,Tian Guixiang,Wu Feizhen,Wei Sheng,Huang Guoying

Abstract

Abstract 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.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Shanghai Basic Research Project of Science and Technology Innovation Action Plan

Chinese Academy of Medical Sciences Research Unit

Shanghai Natural Science Foundation of Science and Technology Innovation Action Plan

Publisher

Springer Science and Business Media LLC

Subject

Drug Discovery,Genetics,Molecular Biology,Molecular Medicine

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