BMC GenomicsGenomicsPeer-reviewed journal article
Reliable Multiplex Sequencing with Rare Index Mis-Assignment on DNB-Based NGS Platform
Qiaoling LiiD, Xia ZhaoiD, Wenwei ZhangiD, Lin Wang, Jingjing WangiD, Dongyang XuiD, Zhiying Mei, Qiang LiuiD, Shiyi DuiD, Zhanqing LiiD, Xinming LiangiD, Xiaman WangiD, Hanmin Wei, Pengjuan Liu, Jing Zou, Hanjie Shen, Ao CheniD, Snezana Drmanac, Jia Sophie Liu, Li LiiD, Hui JiangiD, Yongwei ZhangiD, Jian WangiD, Huanming YangiD, Xun XuiD, , Yuan JiangiD
Abstract
BackgroundMassively-parallel-sequencing, coupled with sample multiplexing, has made genetic tests broadly affordable. However, intractable index mis-assignments (commonly exceeds 1%) were repeatedly reported on some widely used sequencing platforms.\n\nResultsHere, we investigated this quality issue on BGI sequencers using three library preparation methods: whole genome sequencing (WGS) with PCR, PCR-free WGS, and two-step targeted PCR. BGIs sequencers utilize a unique DNB technology which uses rolling circle replication for DNA-nanoball preparation; this linear amplification is PCR free and can avoid error accumulation. We demonstrated that single index mis-assignment from free indexed oligos occurs at a rate of one in 36 million reads, suggesting virtually no index hopping during DNB creation and arraying. Furthermore, the DNB-based NGS libraries have achieved an unprecedentedly low sample-to-sample mis-assignment rate of 0.0001% to 0.0004% under recommended procedures.\n\nConclusionsSingle indexing with DNB technology provides a simple but effective method for sensitive genetic assays with large sample numbers.
- Citations
- 70
- FWCI
- 2.98
- Field percentile
- top 7%
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