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首页> 外文期刊>Nucleic Acids Research >sCNAphase: using haplotype resolved read depth to genotype somatic copy number alterations from low cellularity aneuploid tumors
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sCNAphase: using haplotype resolved read depth to genotype somatic copy number alterations from low cellularity aneuploid tumors

机译:ScNaphase:使用单倍型分离的读取深度从低细胞间无细胞肿瘤的基因型体拷贝数改变

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摘要

Accurate identification of copy number alterations is an essential step in understanding the events driving tumor progression. While a variety of algorithms have been developed to use high-throughput sequencing data to profile copy number changes, no tool is able to reliably characterize ploidy and genotype absolute copy number from tumor samples that contain less than 40% tumor cells. To increase our power to resolve the copy number profile from lowcellularity tumor samples, we developed a novel approach that pre-phases heterozygote germline single nucleotide polymorphisms (SNPs) in order to replace the commonly used `B-allele frequency' with a more powerful `parental-haplotype frequency'. We apply our tool--sCNAphase--to characterize the copy number and loss-of-heterozygosity profiles of four publicly available breast cancer cell-lines. Comparisons to previous spectral karyotyping and microarray studies revealed that sCNAphase reliably identified overall ploidy as well as the individual copy number mutations from each cell-line. Analysis of artificial cell-line mixtures demonstrated the capacity of this method to determine the level of tumor cellularity, consistently identify sCNAs and characterize ploidy in samples with as little as 10% tumor cells. This novel methodology has the potential to bring sCNA profiling to low-cellularity tumors, a form of cancer unable to be accurately studied by current methods.
机译:准确识别拷贝数改变是理解驾驶肿瘤进展的事件的重要一步。虽然已经开发了各种算法来使用高通量测序数据来简档拷贝数变化,但没有能够可靠地表征含有少于40%肿瘤细胞的肿瘤样本的倍性和基因型绝对拷贝数。为了增加我们的力量从低细胞性肿瘤样本解决拷贝数概况,我们开发了一种新的方法,使杂合子种系单核苷酸多态性(SNPs)进行阶段术前,以取代常用的“B-等位基因频率”,以更强大的“父母 - 单倍型频率'。我们应用了我们的工具 - Scnaphase - 以四种公共乳腺癌细胞系的拷贝数和杂合性缺失谱。对先前的光谱核型化和微阵列研究的比较显示,ScNaphase可靠地识别总倍频物以及来自每个细胞系的单个拷贝数突变。人造细胞系混合物的分析证明了该方法确定肿瘤细胞的水平,始终鉴定SCNA并表征样品中的倍增性,具有少于10%肿瘤细胞。这种新的方法有可能将SCNA分析带入低细胞性肿瘤,这种癌症的形式无法通过目前的方法进行准确地研究。

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