Genetic findings of children with congenital heart diseases using chromosome microarray and trio-based whole exome sequencing

Author:

Guo Rui1,Duan Chunhong1,Zarrei Mehdi2,Reuter Miriam S.2,Dong Rui1,Zhang Guangye1,Yang Xiaomeng1,Zhang Haiyang1,Wang Ying1,Scherer Stephen W.2,Liu Yi1,Gai Zhongtao1

Affiliation:

1. Children’s Hospital Affiliated to Shandong University (Jinan Children’s Hospital)

2. The Hospital for Sick Children

Abstract

Abstract Background Congenital heart disease (CHD) is the most common type of birth defects. Genetic factors are the important contributor to the etiology of CHD. However, the underlying genetic causes in most individuals remain unclear. Methods 101 individuals with CHD and their unaffected parents were included in this study. Chromosome microarray analysis (CMA) as a first-tier clinical diagnostic tool was applied for all affected individuals, followed by trio-based whole exome sequencing (WES). The function of the genes involved in the genetic variants in the cohort was analyzed. Results We detected aneuploidies in 2 individuals (trisomy 21 and monosomy X), other pathogenic/likely pathogenic copy number variants (CNVs) in 20 individuals, and pathogenic /likely pathogenic SNVs/InDels in 9 individuals. The combined genetic diagnostic yield was 30.7%, including 21.8% with chromosomal abnormalities and 8.9% with sequence-level variants. Nineteen CNVs in 19 individuals were associated with 14 recurrent chromosomal microdeletion/microduplication syndromes, the most common being 22q11.2 deletion syndrome. Pathogenic/likely pathogenic sequence-level variants were identified in nine genes, including GATA6, FLNA, KANSL1, HNRNPK, TRAF7, KAT6A, PKD1L1, RIT1, and SMAD6. The function of the genes involved in the CHD relevant CNVs and SNVs was analyzed indicating enriched genes are mainly associated with development of multiple organs, not only heart, but also brain and endocrine system. Conclusions CMA is a first-tier clinical diagnostic test to define the underlying genomic architecture of CHD. Trio-based WES increases the diagnostic yield, and should be part of the diagnostic algorithm. Our study expands the genes interaction networks for genetic study of CHD.

Publisher

Research Square Platform LLC

Reference57 articles.

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