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Aligning to the sample-specific reference sequence to optimize the accuracy of next-generation sequencing analysis
Wen-Chun Liu1,2, Chih-Peng Lin3, Chun-Pei Cheng4
1Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, 138 Sheng-Li Road, Tainan, 70403, Taiwan. graceliu8911@gmail.com.
Hepatology International
|July 26, 2015
Summary
Optimizing Hepatitis B virus (HBV) quasispecies analysis using next-generation sequencing (NGS) requires careful reference selection. Using sample-specific reference sequences significantly improves mapping quality and single nucleotide variant (SNV) calling accuracy.
Area of Science:
- Virology
- Genomics
- Bioinformatics
Background:
- Hepatitis B virus (HBV) quasispecies play a key role in chronic liver disease pathogenesis.
- Next-generation sequencing (NGS) is a vital tool for identifying viral quasispecies.
- Accurate analysis of HBV quasispecies is essential for understanding disease progression.
Purpose of the Study:
- To enhance mapping quality and single nucleotide variant (SNV) calling accuracy in NGS analysis of HBV.
- To compare the impact of different mapping references on HBV sequencing data.
- To identify the optimal reference sequence for accurate HBV quasispecies profiling.
Main Methods:
- Comparison of mapping references: sample-specific, same genotype, and different genotype sequences.
- Assessment of mapping quality using real Illumina HBV datasets (86 patients) and simulated datasets (158 strains).
- Evaluation of SNV calling accuracy using real Illumina datasets from a single HBV clone.
Main Results:
- Sample-specific reference sequences yielded the highest number of mappable reads and coverage.
- Using different genotype references resulted in 21 false SNV callings in polymerase and surface genes.
- False SNVs were detected with same genotype references, but not with sample-specific references.
Conclusions:
- Sample-specific reference sequences are optimal for NGS analysis of HBV quasispecies.
- This approach significantly improves mapping quality and SNV calling accuracy.
- Optimized NGS analysis aids in better understanding of HBV pathogenesis and disease management.

