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MGA-seq: robust identification of extrachromosomal DNA and genetic variants using multiple genetic abnormality sequencing

Authors :
Da Lin
Yanyan Zou
Xinyu Li
Jinyue Wang
Qin Xiao
Xiaochen Gao
Fei Lin
Ningyuan Zhang
Ming Jiao
Yu Guo
Zhaowei Teng
Shiyi Li
Yongchang Wei
Fuling Zhou
Rong Yin
Siheng Zhang
Lingyu Xing
Weize Xu
Xiaofeng Wu
Bing Yang
Ke Xiao
Chengchao Wu
Yingfeng Tao
Xiaoqing Yang
Jing Zhang
Sheng Hu
Shuang Dong
Xiaoyu Li
Shengwei Ye
Zhidan Hong
Yihang Pan
Yuqin Yang
Haixiang Sun
Gang Cao
Source :
Genome Biology, Vol 24, Iss 1, Pp 1-20 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

Abstract Genomic abnormalities are strongly associated with cancer and infertility. In this study, we develop a simple and efficient method — multiple genetic abnormality sequencing (MGA-Seq) — to simultaneously detect structural variation, copy number variation, single-nucleotide polymorphism, homogeneously staining regions, and extrachromosomal DNA (ecDNA) from a single tube. MGA-Seq directly sequences proximity-ligated genomic fragments, yielding a dataset with concurrent genome three-dimensional and whole-genome sequencing information, enabling approximate localization of genomic structural variations and facilitating breakpoint identification. Additionally, by utilizing MGA-Seq, we map focal amplification and oncogene coamplification, thus facilitating the exploration of ecDNA’s transcriptional regulatory function.

Details

Language :
English
ISSN :
1474760X
Volume :
24
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Genome Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.9c5fa520aa246c38fef6c8ce42ffe6c
Document Type :
article
Full Text :
https://doi.org/10.1186/s13059-023-03081-x