- Lin, Da;
- Zou, Yanyan;
- Li, Xinyu;
- Wang, Jinyue;
- Xiao, Qin;
- Gao, Xiaochen;
- Lin, Fei;
- Zhang, Ningyuan;
- Jiao, Ming;
- Guo, Yu;
- Teng, Zhaowei;
- Li, Shiyi;
- Wei, Yongchang;
- Zhou, Fuling;
- Yin, Rong;
- Zhang, Siheng;
- Xing, Lingyu;
- Xu, Weize;
- Wu, Xiaofeng;
- Yang, Bing;
- Xiao, Ke;
- Wu, Chengchao;
- Tao, Yingfeng;
- Yang, Xiaoqing;
- Zhang, Jing;
- Hu, Sheng;
- Dong, Shuang;
- Li, Xiaoyu;
- Ye, Shengwei;
- Hong, Zhidan;
- Pan, Yihang;
- Yang, Yuqin;
- Sun, Haixiang;
- Cao, Gang
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 ecDNAs transcriptional regulatory function.