Autor: |
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 Marth, Aaron R. Quinlan, Luca Brunelli, Reha M. Toydemir, Brian J. Shayota, John C. Carey, Steven E. Boyden, Sabrina Malone Jenkins |
Jazyk: |
angličtina |
Rok vydání: |
2022 |
Předmět: |
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Zdroj: |
Molecular Genetics & Genomic Medicine, Vol 10, Iss 4, Pp n/a-n/a (2022) |
Druh dokumentu: |
article |
ISSN: |
2324-9269 |
DOI: |
10.1002/mgg3.1888 |
Popis: |
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. |
Databáze: |
Directory of Open Access Journals |
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