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Automated exposition of known and novel multiple myeloma genomic variants using a single sequencing platform

机译:使用单个测序平台的已知和新型多发性骨髓瘤基因组变体的自动阐述

摘要

A sequencing capture array for identifying mutations in Multiple Myeloma is disclosed. Also disclosed are targeted next generation sequencing methods for identifying SNV, CNV, and translocation mutations in Multiple Myeloma tumor cells. A capture array representing fewer than 500 genes implicated in Multiple Myeloma can be used to analyze tumor mutations and create a personalized treatment plan for a Multiple Myeloma patient. Analytical methods are presented that allow tumor mutations to be elucidated with coverage at a sequencing depth of no more than 500×, or as low as 100×, with optimal efficiency achieved at a sequencing depth of about 300×.
机译:公开了用于识别多发性骨髓瘤中突变的测序捕获阵列。 还公开了靶向下一代测序方法,用于鉴定SNV,CNV和多发性骨髓瘤肿瘤细胞中的易位突变。 表示少于500个基因的捕获阵列涉及多个骨髓瘤的基因,可用于分析肿瘤突变,并为多发性骨髓瘤患者创造个性化治疗计划。 提出了分析方法,其允许肿瘤突变以不超过500×,或低至100倍的测序深度的覆盖率阐明,以约300倍的测序深度实现的最佳效率。

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