Copy number variations in individuals with conotruncal heart defects reveal some shared developmental pathways irrespective of 22q11.2 deletion status

• Published in: Birth defects research 2019-08, Vol.111 (13), p.888-905
• Main Authors: Xie, Hongbo M., Taylor, Deanne M., Zhang, Zhe, McDonald‐McGinn, Donna M., Zackai, Elaine H., Stambolian, Dwight, Hakonarson, Hakon, Morrow, Bernice E., Emanuel, Beverly S., Goldmuntz, Elizabeth
• Format: Article
• Language: English
• Subjects: 22q11.2 deletion syndrome; Bioinformatics; Collection; Computer applications; conotruncal or related cardiac defect; Copy number; Deletion; DNA microarrays; Embryos; functional analysis; Gene expression; gene interaction networks; Gene regulation; Genes; Genetic diversity; Genetic variance; Health risks; Heart; mouse heart gene expression; Ontology; pathway analysis; Phenotypes; rare CNV; Statistical analysis
• ISSN: 2472-1727; 2472-1727
• DOI: 10.1002/bdr2.1534

Over 50% of patients with 22q11.2 deletion syndrome (DS) have a conotruncal or related cardiac defect (CTRD). We hypothesized that similar genetic variants, developmental pathways and biological functions, contribute to disease risk for CTRD in patients without a 22q11.2 deletion (ND‐CTRD) and with a 22q11.2 deletion (DS‐CTRD). To test this hypothesis, we performed rare CNV (rCNV)‐based analyses on 630 ND‐CTRD cases and 602 DS‐CTRD cases with comparable cardiac lesions separately and jointly. First, we detected a collection of heart development related pathways from Gene Ontology and Mammalian Phenotype Ontology analysis. We then constructed gene regulation networks using unique genes collected from the rCNVs found in the ND‐CTRD and DS‐CTRD cohorts. These gene networks were clustered and their predicted functions were examined. We further investigated expression patterns of those unique genes using publicly available mouse embryo microarray expression data from single‐cell embryos to fully developed hearts. By these bioinformatics approaches, we identified a commonly shared gene expression pattern in both the ND‐CTRD and DS‐CTRD cohorts. Computational analysis of gene functions characterized with this expression pattern revealed a collection of significantly enriched terms related to cardiovascular development. By our combined analysis of rCNVs in the ND‐CTRD and DS‐CTRD cohorts, a group of statistically significant shared pathways, biological functions, and gene expression patterns were identified that can be tested in future studies for their biological relevance.