Document Type
Article
Publication Date
9-27-2023
Abstract
About 15% of congenital heart disease (CHD) patients have a known pathogenic copy number variant. The majority of their chromosomal microarray (CMA) tests are deemed normal. Diagnostic interpretation typically ignores microdeletions smaller than 100 kb. We hypothesized that unreported microdeletions are enriched for CHD genes. We analyzed "normal" CMAs of 1762 patients who were evaluated at a pediatric referral center, of which 319 (18%) had CHD. Using CMAs from monozygotic twins or replicates from the same individual, we established a size threshold based on probe count for the reproducible detection of small microdeletions. Genes in the microdeletions were sequentially filtered by their nominal association with a CHD diagnosis, the expression level in the fetal heart, and the deleteriousness of a loss-of-function mutation. The subsequent enrichment for CHD genes was assessed using the presence of known or potentially novel genes implicated by a large whole-exome sequencing study of CHD. The unreported microdeletions were modestly enriched for both known CHD genes and those of unknown significance identified using their de novo mutation in CHD patients. Our results show that readily available "normal" CMA data can be a fruitful resource for genetic discovery and that smaller deletions should receive more attention in clinical evaluation.
Recommended Citation
Walton, Nephi; Nguyen, Hoang; Procknow, Sara; Johnson, Darren; Anzelmi, Alexander; and Jay, Patrick, "Repurposing Normal Chromosomal Microarray Data to Harbor Genetic Insights into Congenital Heart Disease" (2023). Department of Medicine Faculty Papers. Paper 447.
https://jdc.jefferson.edu/medfp/447
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
PubMed ID
37887000
Language
English
Included in
Bioinformatics Commons, Congenital, Hereditary, and Neonatal Diseases and Abnormalities Commons, Genetics and Genomics Commons
Comments
This article is the author's final published version in Biology, Volume 12, Issue 10, 2023, Article number 1290.
The published version is available at https://doi.org/10.3390/biology12101290.
Copyright © 2023 by the authors