Systematic comparison of variant calling pipelines of target genome sequencing cross multiple next-generation sequencers

Abstract

Abstract Background Targeted genomic sequencing (TS) greatly benefits precision oncology by rapidly detecting genetic variations with better accuracy and sensitivity owing to its high sequencing depth. Multiple sequencing platforms and variant calling tools are available for TS, making it excruciating for researchers to choose. Therefore, benchmarking study across different platforms and pipelines available for TS is imperative. In this study, we performed a TSof Reference OncoSpan FFPE (HD832) sample enriched by TSO500 panel using four commercially available sequencers, and analyzed the output 50 datasets using five commonly-used bioinformatics pipelines. We systematically investigated the sequencing quality and variant detection sensitivity, expecting to provide optimal recommendations for future research. Results Four sequencing platforms returned highly concordant results in terms of base quality (Q20>94%), sequencing coverage (>97%) and depth (>2000×). Benchmarking revealed good concordance of variant calling across different platforms and pipelines, among which, FASTASeq 300 platform showed the highest sensitivity (100%) in high-confidence variants calling when analyzed by SNVer and VarScan 2 algorithms. Furthermore, this sequencer demonstrated the shortest sequencing time (~21 hr) at the sequencing mode PE150. Through the intersection of 50 datasets generated in this study, we recommended a novel set of variant genes outside the truth set published by HD832, expecting to replenish HD832 for future research of tumor variant diagnosis. Considering the dissimilarity of variant calls across different pipelines for datasets from the same platform, we recommended an integration of multiple tools to improve variant calling sensitivity and accuracy for the cancer genome. Conclusions Illumina and GeneMind technologies can be used independently or together by public health laboratories performing tumor TS. FASTASeq 300 platform performs better regarding variant detection sensitivity under SNVer and VarScan 2 algorithms along with the shortest turnaround time. Our study provides a standardized target sequencing resource to benchmark new bioinformatics protocols and sequencing platforms.