Repurposing Normal Chromosomal Microarray Data to Harbor Genetic Insights into Congenital Heart Disease

Author:

Walton Nephi A.1,Nguyen Hoang H.2ORCID,Procknow Sara S.1ORCID,Johnson Darren3,Anzelmi Alexander4,Jay Patrick Y.1

Affiliation:

1. Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA

2. Department of Pediatrics, UT Southwestern Medical Center, Dallas, TX 75390, USA

3. Genomic Medicine Institute, Geisinger, Danville, PA 17822, USA

4. Department of Medicine, Thomas Jefferson University Hospitals, Philadelphia, PA 19107, USA

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.

Funder

Washington University Children’s Hospital in St. Louis

Publisher

MDPI AG

Subject

General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology

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