RT Journal A1 Hillmer, Axel M. A1 Yao, Fei A1 Inaki, Koichiro A1 Lee, Wah Heng A1 Ariyaratne, Pramila N. A1 Teo, Audrey S.M. A1 Woo, Xing Yi A1 Zhang, Zhenshui A1 Zhao, Hao A1 Ukil, Leena A1 Chen, Jieqi P. A1 Zhu, Feng A1 So, Jimmy B.Y. A1 Salto-Tellez, Manuel A1 Poh, Wan Ting A1 Zawack, Kelson F.B. A1 Nagarajan, Niranjan A1 Gao, Song A1 Li, Guoliang A1 Kumar, Vikrant A1 Lim, Hui Ping J. A1 Sia, Yee Yen A1 Chan, Chee Seng A1 Leong, See Ting A1 Neo, Say Chuan A1 Choi, Poh Sum D. A1 Thoreau, Hervé A1 Tan, Patrick B.O. A1 Shahab, Atif A1 Ruan, Xiaoan A1 Bergh, Jonas A1 Hall, Per A1 Cacheux-Rataboul, Valère A1 Wei, Chia-Lin A1 Yeoh, Khay Guan A1 Sung, Wing-Kin A1 Bourque, Guillaume A1 Liu, Edison T. A1 Ruan, Yijun T1 Comprehensive long-span paired-end-tag mapping reveals characteristic patterns of structural variations in epithelial cancer genomes JF Genome Research JO Genome Research YR 2011 FD May 01 VO 21 IS 5 SP 665 OP 675 DO 10.1101/gr.113555.110 UL http://genome.cshlp.org/content/21/5/665.abstract AB Somatic genome rearrangements are thought to play important roles in cancer development. We optimized a long-span paired-end-tag (PET) sequencing approach using 10-Kb genomic DNA inserts to study human genome structural variations (SVs). The use of a 10-Kb insert size allows the identification of breakpoints within repetitive or homology-containing regions of a few kilobases in size and results in a higher physical coverage compared with small insert libraries with the same sequencing effort. We have applied this approach to comprehensively characterize the SVs of 15 cancer and two noncancer genomes and used a filtering approach to strongly enrich for somatic SVs in the cancer genomes. Our analyses revealed that most inversions, deletions, and insertions are germ-line SVs, whereas tandem duplications, unpaired inversions, interchromosomal translocations, and complex rearrangements are over-represented among somatic rearrangements in cancer genomes. We demonstrate that the quantitative and connective nature of DNA–PET data is precise in delineating the genealogy of complex rearrangement events, we observe signatures that are compatible with breakage-fusion-bridge cycles, and we discover that large duplications are among the initial rearrangements that trigger genome instability for extensive amplification in epithelial cancers.