Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Robert-Rössle-Str. 10, 13125, Berlin, Germany.
Department of Electrical Engineering & Computer Science, Technische Universität Berlin, Marchstr. 23, 10587, Berlin, Germany.
Genome Biol. 2022 Nov 14;23(1):241. doi: 10.1186/s13059-022-02794-9.
Aneuploidy, chromosomal instability, somatic copy-number alterations, and whole-genome doubling (WGD) play key roles in cancer evolution and provide information for the complex task of phylogenetic inference. We present MEDICC2, a method for inferring evolutionary trees and WGD using haplotype-specific somatic copy-number alterations from single-cell or bulk data. MEDICC2 eschews simplifications such as the infinite sites assumption, allowing multiple mutations and parallel evolution, and does not treat adjacent loci as independent, allowing overlapping copy-number events. Using simulations and multiple data types from 2780 tumors, we use MEDICC2 to demonstrate accurate inference of phylogenies, clonal and subclonal WGD, and ancestral copy-number states.
非整倍体、染色体不稳定性、体细胞拷贝数改变和全基因组加倍(WGD)在癌症进化中发挥着关键作用,并为系统发育推断这一复杂任务提供了信息。我们提出了 MEDICC2 方法,该方法使用来自单细胞或批量数据的单倍型特异性体细胞拷贝数改变来推断进化树和 WGD。MEDICC2 避免了无限位点假设等简化,允许多个突变和并行进化,并且不将相邻基因座视为独立的,允许重叠的拷贝数事件。使用来自 2780 个肿瘤的模拟和多种数据类型,我们使用 MEDICC2 准确推断了系统发育、克隆和亚克隆 WGD 以及祖先拷贝数状态。