Genome Biology (Oct 2023)

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

  • 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

DOI
https://doi.org/10.1186/s13059-023-03081-x
Journal volume & issue
Vol. 24, no. 1
pp. 1 – 20

Abstract

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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.

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