High-resolution mapping of copy-number alterations with massively parallel sequencing.

High-resolution mapping of copy-number alterations with massively parallel sequencing.
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DOI:
10.1038/nmeth.1276
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发表时间:
2009-01
期刊:
影响因子:
48
通讯作者:
Lander, Eric S.
Lander, Eric S.
中科院分区:
生物学1区
文献类型:
--
作者:
Chiang, Derek Y.;Getz, Gad;Jaffe, David B.;O'Kelly, Michael J. T.;Zhao, Xiaojun;Carter, Scott L.;Russ, Carsten;Nusbaum, Chad;Meyerson, Matthew;Lander, Eric S.

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癌症是由关键基因的体细胞改变(包括点突变,拷贝数改变和结构重排)的一种强大方法。测序技术的最新进展表明,大规模平行测序可以为DNA微阵列提供可行的替代方法,以检测拷贝数的变化目前:(i)对特定大小的拷贝数变化的统计分析;成对的肿瘤和正常细胞系。定位断点(通常在约1 kb之内)的两倍更好的精度。
Cancer results from somatic alterations in key genes, including point mutations, copy number alterations and structural rearrangements. A powerful way to discover cancer-causing genes is to identify genomic regions that show recurrent copy-number alterations (gains and losses) in tumor genomes. Recent advances in sequencing technologies suggest that massively parallel sequencing may provide a feasible alternative to DNA microarrays for detecting copy-number alterations. Here, we present: (i) a statistical analysis of the power to detect copy-number alterations of a given size; (ii) SegSeq, an algorithm to identify chromosomal breakpoints using massively parallel sequence data; and (iii) analysis of experimental data from three matched pairs of tumor and normal cell lines. We show that a collection of ∼14 million aligned sequence reads from human cell lines has comparable power to detect events as the current generation of DNA microarrays and has over two-fold better precision for localizing breakpoints (typically, to within ∼1 kb).
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