ArticleBiology2023
Repurposing Normal Chromosomal Microarray Data to Harbor Genetic Insights into Congenital Heart Disease.
Article in Biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 4 citations in OpenAlex.
- Article
- Application of chromosomal microarray analysis for prenatal diagnosis in 315 ultrasonically abnormal fetuses.Frontiers in genetics · 2026Article
- Identification and Functional Characterization of a NovelChildren (Basel, Switzerland) · 2025Article
- Chromosomal Microarray Analysis and Karyotype Analysis for Prenatal Diagnosis of Fetuses With Abnormal Ultrasound Soft Markers.Journal of clinical laboratory analysis · 2025Article
- Discovery and functional investigation ofAmerican journal of translational research · 2024Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
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.
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Registered trials
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