National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 45 Center Drive, Bethesda, MD, 20894, USA.
Center for Genomics, Loma Linda University School of Medicine, 11021 Campus St., Loma Linda, CA, 92350, USA.
Genome Biol. 2022 Nov 9;23(1):237. doi: 10.1186/s13059-022-02803-x.
The use of a personalized haplotype-specific genome assembly, rather than an unrelated, mosaic genome like GRCh38, as a reference for detecting the full spectrum of somatic events from cancers has long been advocated but has never been explored in tumor-normal paired samples. Here, we provide the first demonstrated use of de novo assembled personalized genome as a reference for cancer mutation detection and quantifying the effects of the reference genomes on the accuracy of somatic mutation detection.
We generate de novo assemblies of the first tumor-normal paired genomes, both nuclear and mitochondrial, derived from the same individual with triple negative breast cancer. The personalized genome was chromosomal scale, haplotype phased, and annotated. We demonstrate that it provides individual specific haplotypes for complex regions and medically relevant genes. We illustrate that the personalized genome reference not only improves read alignments for both short-read and long-read sequencing data but also ameliorates the detection accuracy of somatic SNVs and SVs. We identify the equivalent somatic mutation calls between two genome references and uncover novel somatic mutations only when personalized genome assembly is used as a reference.
Our findings demonstrate that use of a personalized genome with individual-specific haplotypes is essential for accurate detection of the full spectrum of somatic mutations in the paired tumor-normal samples. The unique resource and methodology established in this study will be beneficial to the development of precision oncology medicine not only for breast cancer, but also for other cancers.
长期以来,人们一直主张使用个性化单倍型特异性基因组组装,而不是像 GRCh38 那样的不相关的镶嵌基因组,作为检测癌症中所有体细胞事件的参考,而这种方法从未在肿瘤-正常配对样本中进行过探索。在这里,我们首次展示了使用从头组装的个性化基因组作为癌症突变检测的参考,并量化了参考基因组对体细胞突变检测准确性的影响。
我们生成了来自同一三阴性乳腺癌个体的首个肿瘤-正常配对核和线粒体基因组的从头组装。个性化基因组具有染色体规模、单倍型相位和注释。我们证明它为复杂区域和医学相关基因提供了个体特异性单倍型。我们说明个性化基因组参考不仅改善了短读长和长读长测序数据的读取比对,而且提高了体细胞 SNV 和 SV 的检测准确性。我们在两个基因组参考之间识别出等效的体细胞突变调用,并仅在使用个性化基因组组装作为参考时发现新的体细胞突变。
我们的研究结果表明,在肿瘤-正常配对样本中准确检测所有体细胞突变时,使用具有个体特异性单倍型的个性化基因组是必不可少的。本研究中建立的独特资源和方法不仅对乳腺癌,而且对其他癌症的精准肿瘤医学的发展都将是有益的。