ArticleHuman genomics2022
Copy number variant analysis for syndromic congenital heart disease in the Chinese population.
Article in Human genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Diagnostic and Prognostic Potential of Tetranectin in Heart Failure and Cardiovascular Disease: A Systematic Review.Medical sciences (Basel, Switzerland) · 2025Pooled it
- Comprehensive analysis of copy number variations in congenital heart defects Tunisian patients: chromosomal microarray analysis insights.Molecular cytogenetics · 2026Article
- Genomic spectrum of congenital heart disease combined with kidney and urinary tract anomalies uncovered by exome sequencing and array-CGH.Frontiers in cell and developmental biology · 2026Article
- Genetic findings of children with congenital heart diseases using chromosomal microarray and trio-based whole exome sequencing.Scientific reports · 2025Article
- Prenatal chromosomal microarray analysis in a large Chinese cohort of fetuses with congenital heart defects: a single center study.Orphanet journal of rare diseases · 2024Article
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Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSyndromic 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.
methodsA 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.
resultsUsing 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.
conclusionAs 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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