基因组
遗传学
生物
计算生物学
替代(逻辑)
人口
基因
医学
计算机科学
环境卫生
程序设计语言
作者
Andrea Degasperi,Xueqing Zou,Tauanne Dias Amarante,Andrea Martinez-Martinez,Ching Chiek Koh,João M.L. Dias,Laura Heskin,Lucia Chmelova,Giuseppe Rinaldi,Valerie Ya Wen Wang,Arjun S. Nanda,Aaron Bernstein,Sophie Momen,Jamie Young,D. Perez-Gil,Yasin Memari,Cherif Badja,Scott Shooter,Jan Czarnecki,Matthew A. Brown
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2022-04-21
卷期号:376 (6591)
被引量:187
标识
DOI:10.1126/science.abl9283
摘要
Whole-genome sequencing (WGS) permits comprehensive cancer genome analyses, revealing mutational signatures, imprints of DNA damage and repair processes that have arisen in each patient's cancer. We performed mutational signature analyses on 12,222 WGS tumor-normal matched pairs, from patients recruited via the UK National Health Service. We contrasted our results to two independent cancer WGS datasets, the International Cancer Genome Consortium (ICGC) and Hartwig Foundation, involving 18,640 WGS cancers in total. Our analyses add 40 single and 18 double substitution signatures to the current mutational signature tally. Critically, we show for each organ, that cancers have a limited number of 'common' signatures and a long tail of 'rare' signatures. We provide a practical solution for utilizing this concept of common versus rare signatures in future analyses.
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