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  4. Optical genome mapping with whole genome sequencing identifies complex chromosomal structural variations in acute leukemia.
 
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Optical genome mapping with whole genome sequencing identifies complex chromosomal structural variations in acute leukemia.

Journal
Frontiers in genetics
Journal Volume
16
ISSN
1664-8021
Date Issued
2025
Author(s)
MENG-JU TSAI  
Kao, Hsiao-Jung
Chen, Hsiao-Huei
Yu, Chih-Hsiang
YIN-HSIU CHIEN  
WUH-LIANG ​​HWU  
Kwok, Pui-Yan
NI-CHUNG LEE  
YUNG-LI YANG  
DOI
10.3389/fgene.2025.1496847
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/730213
Abstract
Introduction: Chromosomal structural variations (SVs) play an important role in the formation of human cancers, including leukemias. However, many complex SVs cannot be identified by conventional tools, including karyotyping, fluorescence in situ hybridization, microarrays, and multiplex ligation-dependent probe amplification (MLPA). Methods: Optical genome mapping (OGM) and whole genome sequencing (WGS) were employed to analyze five leukemia samples with SVs detected by karyotyping, MLPA, and RNA sequencing (RNA-seq). OGM was performed using the Saphyr chip on a Bionano Saphyr system. Copy number variation and rare variant assembly analyses were performed with Bionano software v3.7. WGS was analyzed by the Manta program for SVs. Results: The leukemia samples had an average of 477 insertions, 457 deletions, and 32 inversions, which were significantly greater than those of the normal blood samples (p = 0.016, 0.028, and 0.028, respectively). In Case 1, OGM detected a sequential translocation between chromosomes 5, 8, 12, and 21 and ETV6::RUNX1 and BCAT1::BAALC gene fusions. Case 2 had two pathogenic SVs and a BCR::ABL1 fusion. Case 3 had one pathogenic SV and an IGH::DUSP22 fusion. Case 4 had two pathogenic SVs and a CBFB::MYH11 fusion. Case 5 had an STIL::TAL1 fusion. All breakpoint sequences were defined by WGS. An IGH::DUX4 fusion previously found by RNA-seq in Case 3 was not confirmed because DUX4, which has multiple pseudogenes, was refractory to OGM and WGS analyses. Conclusion: OGM is a fundamental tool that complements G-banding analysis in identifying complex SVs in leukemia samples, and WGS effectively closes the gaps in OGM mapping. Copyright © 2025 Tsai, Kao, Chen, Yu, Chien, Hwu, Kwok, Lee and Yang.
Subjects
Bionano
Leukemia
chromosomal structural variation
optical genome mapping
whole genome sequencing
SDGs

[SDGs]SDG3

Type
journal article

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