Stanford University, Stanford, CA, USA.
UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA.
Nat Biotechnol. 2022 Jul;40(7):1035-1041. doi: 10.1038/s41587-022-01221-5. Epub 2022 Mar 28.
Whole-genome sequencing (WGS) can identify variants that cause genetic disease, but the time required for sequencing and analysis has been a barrier to its use in acutely ill patients. In the present study, we develop an approach for ultra-rapid nanopore WGS that combines an optimized sample preparation protocol, distributing sequencing over 48 flow cells, near real-time base calling and alignment, accelerated variant calling and fast variant filtration for efficient manual review. Application to two example clinical cases identified a candidate variant in <8 h from sample preparation to variant identification. We show that this framework provides accurate variant calls and efficient prioritization, and accelerates diagnostic clinical genome sequencing twofold compared with previous approaches.
全基因组测序(WGS)可以识别导致遗传疾病的变异,但测序和分析所需的时间一直是其在急性病患者中应用的障碍。在本研究中,我们开发了一种超快速纳米孔 WGS 方法,该方法结合了优化的样本制备方案、在 48 个流池上分布测序、近乎实时的碱基调用和比对、加速的变异调用以及快速的变异过滤,以进行高效的手动审查。将该方法应用于两个临床案例,从样本制备到变异鉴定,可在<8 小时内确定候选变异。我们表明,与以前的方法相比,该框架提供了准确的变异调用和有效的优先级排序,并将诊断性临床基因组测序的速度提高了两倍。