Comprehensive variant calling from whole-genome sequencing identifies a complex inversion that disrupts ZFPM2 in familial congenital diaphragmatic hernia

Thomas J. Nicholas, Najla Al-Sweel, Andrew Farrell, Rong Mao, Pinar Bayrak-Toydemir, Christine E. Miller, Dawn Bentley, Rachel Palmquist, Barry Moore, Edgar J. Hernandez, Michael J. Cormier, Eric Fredrickson, Katherine Noble, Shawn Rynearson, Carson Holt, Mary Anne Karren, Joshua L. Bonkowsky, Martin Tristani-Firouzi, Mark Yandell, Gabor MarthAaron R. Quinlan, Luca Brunelli, Reha M Toydemir, Brian J. Shayota, John C. Carey, Steven E. Boyden, Sabrina Malone Jenkins

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Background: Genetic disorders contribute to significant morbidity and mortality in critically ill newborns. Despite advances in genome sequencing technologies, a majority of neonatal cases remain unsolved. Complex structural variants (SVs) often elude conventional genome sequencing variant calling pipelines and will explain a portion of these unsolved cases. Methods: As part of the Utah NeoSeq project, we used a research-based, rapid whole-genome sequencing (WGS) protocol to investigate the genomic etiology for a newborn with a left-sided congenital diaphragmatic hernia (CDH) and cardiac malformations, whose mother also had a history of CDH and atrial septal defect. Results: Using both a novel, alignment-free and traditional alignment-based variant callers, we identified a maternally inherited complex SV on chromosome 8, consisting of an inversion flanked by deletions. This complex inversion, further confirmed using orthogonal molecular techniques, disrupts the ZFPM2 gene, which is associated with both CDH and various congenital heart defects. Conclusions: Our results demonstrate that complex structural events, which often are unidentifiable or not reported by clinically validated testing procedures, can be discovered and accurately characterized with conventional, short-read sequencing and underscore the utility of WGS as a first-line diagnostic tool.

Original languageEnglish
Article numbere1888
JournalMolecular Genetics and Genomic Medicine
Volume10
Issue number4
DOIs
StatePublished - Apr 2022
Externally publishedYes

Funding

This study was funded by the Center for Genomic Medicine at the University of Utah Health, ARUP Laboratories, and the Ben B. and Iris M. Margolis Foundation. Sequence alignment, variant calling, and variant interpretation analyses were performed at the Utah Center for Genetic Discovery Core facility, part of the Health Sciences Center Cores at the University of Utah. This work utilized resources and support from the Center for High Performance Computing at the University of Utah. The computational resources used were partially funded by the NIH Shared Instrumentation grant 1S10OD021644‐01A1. This study was funded by the Center for Genomic Medicine at the University of Utah Health, ARUP Laboratories, and the Ben B. and Iris M. Margolis Foundation. Sequence alignment, variant calling, and variant interpretation analyses were performed at the Utah Center for Genetic Discovery Core facility, part of the Health Sciences Center Cores at the University of Utah. This work utilized resources and support from the Center for High Performance Computing at the University of Utah. The computational resources used were partially funded by the NIH Shared Instrumentation grant 1S10OD021644-01A1.

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